MarinOne Scripts Creator's Corner
Share and Learn Problems Solved by MarinOne Scripts
Category Action Type - Bulk Upload (Preview)
Purpose
The Python script manages the pausing and resuming of advertising campaigns based on their monthly budget utilization.
Purpose
The Python script extracts and tags a specific segment from campaign names based on a defined delimiter.
Purpose
The script extracts and tags a numerical identifier from campaign names based on a specific format.
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The Python script filters and processes campaign data to update daily budget alerts for campaigns with a “Checked” status.
Purpose The Python script identifies and tags AdGroups with abnormally high Cost Per Acquisition (CPA) performance within a campaign over a specified lookback period, excluding recent days due to conversion...
Purpose
The Python script tags campaigns based on their performance metrics compared to predefined benchmarks.
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The Python script identifies and recommends pausing keywords that are at least 30 days old, have zero conversions, and a quality score below 5.
Purpose
The script qualifies suggested keywords based on conversion rates, cost-per-acquisition (CPA) thresholds, and token count limits.
Purpose
The script automates the process of merging campaign budget data from a primary data source with override data from Google Sheets for daily budget allocation.
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The script automatically tags PS Clients based on keywords found in campaign names.
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The script updates monthly budget targets for strategies by matching them with concatenated values from a Google Sheet.
Purpose
The Python script adjusts bid ratios for mobile, tablet, and desktop devices based on gross profit-weighted average bids for advertising campaigns.
Purpose
The Python script calculates the adjusted daily budget for different strategies based on their remaining budget and the number of days left in the current month.
Purpose
The Python script tags groups with a FUND dimension based on abbreviations found in group names.
Purpose
The Python script synchronizes daily budget allocations for marketing campaigns between a primary data source and a Google Sheets reference, ensuring up-to-date budget information.
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The script ensures that any campaign with a daily budget below $50 is adjusted to meet this minimum threshold.
Purpose
The script assigns the ‘Auto Pause Status’ of ‘traffic’ to new campaigns that are part of a strategy but do not yet have this status applied.
Purpose
The Python script processes and displays the initial rows of a primary data source for further analysis.
Purpose
The script automatically pauses campaigns in a dataset if their associated event dates have passed.
Purpose
The script parses campaign names to extract and tag seminar details such as format, location, registration target, and seminar code.
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The Python script automates the process of enabling a campaign override flag when adjusted recommendations exceed predefined caps set in Google Sheets.
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The Python script parses campaign names to automatically tag hotel-related dimensions, handling special cases for specific account names.
Purpose
Automates the process of populating utmcampaign and utmmedium dimensions based on campaign name and campaign type values.
Purpose
The Python script ingests media plan spend targets from a Google Sheets document and maps them to strategies for the current month.
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The Python script calculates pacing metrics and recommended daily budgets for digital advertising campaigns based on various campaign parameters and goals.
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The script identifies conflicting keywords between current and negative keywords in an account.
Purpose
Lookup new month’s spend target and update via strategy bulk file
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Python script that takes the unspent Strategy Spend Target from the previous month and adds it to the current Spend Target.
Purpose
Python script to pause campaigns when the monthly spend reaches the monthly budget stored in the strategy.
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Tag AdGroup if CPA performance is abnormally high within Campaign 30-lookback excluding recent 3 days
Purpose
The Python script automates the process of pausing and resuming advertising campaigns based on their monthly budget and current spending, using dimension tags for monitoring.
Purpose
The Python script automates the process of pausing and resuming advertising campaigns based on their monthly budget and current spending, using dimension tags for monitoring.
Purpose
The Python script updates strategy spend targets by copying monthly budget data from Google Sheets to a staging area, matching abbreviations with strategies.
Purpose
The script processes campaign data to extract and categorize geographical, segment, targeting, and platform information from campaign names.
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The Python script identifies and tags geographical regions in campaign names based on predefined keywords.
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The Python script processes campaign data to extract and tag platform and targeting information from campaign names.
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This script calculates the percentage difference between the current daily budget and the SBA recommended daily budget for campaigns.
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Automating Dimension Tagging with the landing page in the dimension “Landing Page Dim” and the keyword and match type combination in the dimension “Keyword MatchType Dim”.
Purpose
Python script to pause and resume campaigns based on Dimension tags (SBA Strategy and SBA Monthly Budget) by monitoring bi-hourly intraday spend.
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Python script to add a tag to a campaign name based on a specified separator.
Purpose
Python script to pause and resume campaigns based on Dimension tags (SBA Strategy and SBA Monthly Budget) by monitoring bi-hourly intraday spend.
Purpose
The Python script automates the process of pausing and resuming advertising campaigns based on their monthly budget and current spending, using dimension tags for monitoring.
Purpose
The Python script generates negative keywords for each account in a dataset to optimize single keyword campaigns.
Purpose
The script automates the process of copying and updating monthly budget allocations from Google Sheets to a structured budget allocation system by matching campaign strategies.
Purpose
Python script that pauses and re-enables campaigns based on their monthly spend and budget.
Purpose
The Python script calculates pacing metrics and recommended daily budgets for digital advertising campaigns based on various campaign parameters and goals.
Purpose
The script pauses advertisements if they have zero conversions after spending $100.
Purpose
Pauses ads that have a CPA of $150+ over the previous 7 days
Purpose
The script automates the assignment of dimension tags to campaigns based on their names.
Purpose
The Python script analyzes campaign-level forecasts to identify profit-maximizing targets and generates a bulk sheet to update these targets for Google Smart Bidding strategies.
Purpose
The script analyzes campaign-level forecasts to identify profit-maximizing targets and generates a bulk sheet to update these targets for Google Smart Bidding strategies.
Purpose
The Python script automates the process of pausing and resuming advertising campaigns based on their monthly budget and current spending, using dimension tags for monitoring.
Purpose
The Python script optimizes the allocation of campaign budgets to minimize lost impression share due to budget constraints.
Purpose Python script that solves the problem of allocating budgets to campaigns based on various factors such as remaining budget, weekdays in the month, historical spend, and minimum daily budget....
Purpose
The Python script identifies ad groups within a campaign that have abnormally high Cost Per Acquisition (CPA) performance, tagging them as outliers.
Purpose
Example of what Budget Pacing through script could look like
Purpose
The script parses campaign names to automatically tag them with a region dimension based on specific patterns.
Purpose
This Python script solves the problem of calculating various metrics and values for pacing and budget allocation in a digital advertising campaign.
Purpose The Python script identifies and tags AdGroups with abnormally high Cost Per Acquisition (CPA) performance within a campaign using a 30-day lookback period, excluding the most recent 3 days....
Purpose
The Python script monitors campaign spending and recommends pausing campaigns if projected costs exceed the monthly budget.
Purpose
SBA Campaigns Watcher
Purpose
The Python script processes campaign data to aggregate and deduplicate information based on specific criteria.
Purpose
Python script to update campaign information based on specified conditions.
Purpose
The script extracts and updates specific campaign details from campaign names in a dataset.
Purpose
The Python script calculates the remaining days for each campaign based on its specified end date.
Purpose
Parse out and populate Pacing - Start Date and Pacing - End Date in ISO format from the Campaign column of a DataFrame.
Purpose
Tag AdGroup if CPA performance is abnormally high within Campaign
Purpose
Python script to pause and re-enable campaigns based on budget allocation.
Purpose
Python script to auto-push a subset of suggested keywords from a keyword recommendations grid.
Purpose
The script automates the process of setting all active Google Product Groups to Bid Override with no end date.
Purpose
The script updates campaign parameters such as status, daily budget, and target CPA for new launch campaigns based on specified ROAS criteria.
Purpose
The Python script automates the updating of campaign statuses, bid strategies, and target CPA values for new launch campaigns based on specific performance metrics.
Purpose
The Python script updates the status, target CPA, bid strategy, and maturity of new launch campaigns based on specific performance criteria.
In a Nutshell
The script automatically pauses PPC campaigns that exceed their monthly budget caps.
Purpose
Python script for negative keyword expansion.
Purpose
Python script solves the problem of adjusting the Publisher Target ROAS for Google campaigns based on the daily spend goal and publisher cost.
Purpose
The Python script adjusts search bids and bid overrides for keywords in advertising campaigns based on specific performance criteria.
Purpose
The Python script updates campaign dimension values based on specific patterns found in campaign names.
Purpose
Reduce the daily budget of campaigns by 20% if the GAAP profit from the previous day is less than 0.
Purpose
The Python script assigns a specific campaign strategy and updates related fields when the “CPA Date” matches the current date.
Purpose The Python script evaluates advertising campaigns and promotes them to a new publisher bidding strategy if they meet specified minimum thresholds for spend and Return on Advertising Spend (ROAS)....
Purpose
The script categorizes Yahoo DSP ad groups into ‘New’, ‘Mature I’, and ‘Mature II’ based on their spending over the previous 7 days.
Purpose
The script adjusts the daily budget of campaigns by increasing it by 20% if the daily spend exceeds 60% of the current daily budget.
Purpose
Pushes new Strategy Targets at start of month
Purpose
The Python script analyzes campaign data to assign marketing strategies based on performance metrics over specific time periods.
Purpose
Tag AdGroup if CPA performance is abnormally high within Campaign
Purpose
The Python script processes keyword data to manage and update advertising campaign statuses based on specific criteria.
Purpose
Python script to add dimensions tag based on campaign name.
Purpose
Python script to add a dimensions tag based on the campaign name.
Purpose
The script adjusts the target Cost Per Acquisition (tCPA) and daily budget of Google campaigns based on Return on Advertising Spend (ROAS) and spend over the previous hours.
Purpose
The script identifies and pauses mature advertising campaigns with low Return on Ad Spend (ROAS) over the past 14 days.
Purpose
The script adjusts the target cost-per-action (tCPA) for campaigns based on their current cost per conversion, increasing it if the cost is below a specified threshold.
Purpose
The script adjusts the target CPA and daily budget of Google campaigns labeled as ‘Mature’ based on their ROAS over the previous 14 days.
Purpose
The Python script categorizes ExplorAds and Yahoo DSP campaigns into maturity levels based on their spending over the past year.
Purpose
The script automates the process of pausing keywords and labeling them with the ‘AutoPause’ dimension based on specific criteria related to creation date, accumulated clicks, and spend.
Purpose
The script updates the bidding strategy of new campaigns to Target CPA if they meet specified spend and ROAS thresholds.
Purpose
The script pauses new Google ad campaigns with low Return on Advertising Spend (ROAS) based on predefined criteria.
Purpose
The script increases the daily budget for campaigns with an impression share greater than a specified percentage over the last specified number of days.
Purpose The Python script adjusts the target CPA and daily budget of Google campaigns labeled as ‘New Launch’ through ‘New - Round 5’ based on their ROAS over the past...
Purpose
The Python script categorizes campaigns into “Brand” or “Non-Brand” based on the presence of the word “Brand” in their names.
Purpose
The script identifies campaigns containing ‘FR’ with a blank maturity status and assigns them a ‘France’ maturity label.
Purpose
The script parses campaign names to extract and assign a tag to each campaign based on a specific naming convention.
Purpose
The script enforces monthly budget caps for strategies and campaigns by pausing those that exceed their allocated budgets, using data from Google Sheets.
Purpose The script automates the creation of suggested keywords from a keyword expansion report, focusing on long keywords with six or more tokens and setting them with specific match types...
Purpose
The Python script identifies and tags campaigns with significantly lower Return on Advertising Spend (ROAS) compared to their peers within the same account.
Purpose
The script reassigns marketing strategies to campaigns based on their Month-to-Date conversion levels.
Purpose
Tag AdGroup if CPA performance is abnormally high within Campaign 30-lookback excluding recent 3 days
Purpose
The Python script adjusts campaign budgets by increasing them by 5% if their CPA performance is 10% better than the average of their peers within the same account.
Purpose
The Python script adjusts the budget for non-brand advertising campaigns based on their cost-per-acquisition (CPA) performance compared to peer averages.
Purpose
Pause campaigns with no active groups.
Purpose
The Python script identifies and tags AdGroups with a Cost Per Acquisition (CPA) significantly higher than their peers within the same campaign over a 30-day period.
Category Item Changed - AdGroup
Purpose The Python script identifies and tags AdGroups with abnormally high Cost Per Acquisition (CPA) performance within a campaign over a specified lookback period, excluding recent days due to conversion...
Purpose
The Python script adjusts bid ratios for mobile, tablet, and desktop devices based on gross profit-weighted average bids for advertising campaigns.
Purpose
The Python script automates the process of tagging groups with fund types by matching data from a primary data source with a reference Google Sheets document.
Purpose
The Python script tags groups with a FUND dimension based on abbreviations found in group names.
Purpose
The Python script automates the tagging of media types and subtypes based on specific account and campaign criteria.
Purpose
The Python script automates the tagging of media types and subtypes based on account and campaign information in a dataset.
Purpose
Automates the process of updating ‘utmgroup’ dimensions based on ad group names by replacing spaces with plus signs.
Purpose
The script automatically pauses campaigns in a dataset if their associated event dates have passed.
Purpose
The Python script extracts a title from the “Group” column using a regex pattern and inserts it into the “Title” column.
Purpose
The Python script tags ad group performance based on specific business rules for reach, traffic, and conversion metrics.
Purpose
The script extracts and assigns a country code from a group name into a designated ‘Country Code’ dimension.
Purpose
The script identifies and tags AdGroups with abnormally high Cost Per Acquisition (CPA) performance within a campaign over a 30-day lookback period, excluding the most recent day.
Purpose
The Python script is designed to clear the ‘AUTOMATION - Outlier’ column in a data table to prepare it for further processing.
Purpose
The Python script is designed to clear the ‘AUTOMATION - Outlier’ column in a data table to reset or prepare it for new data processing.
Purpose
The Python script processes a data source to clear and prepare a specific column for further automation tasks related to outlier detection.
Purpose
The Python script processes a data source to clear and prepare a specific column for further automation tasks related to outlier detection.
Purpose
The script identifies and tags AdGroups with abnormally high Cost Per Acquisition (CPA) performance within a campaign using a 30-day lookback period, excluding the most recent day.
Purpose
The script extracts the country code from a group name by identifying the segment before the first hyphen and assigns it to a ‘Country Code’ dimension.
Purpose
The script identifies and tags AdGroups with abnormally high Cost Per Acquisition (CPA) performance within a campaign over a 30-day lookback period, excluding the most recent 3 days.
Purpose
The script identifies and tags AdGroups with abnormally high Cost Per Acquisition (CPA) performance within a campaign over a 30-day lookback period, excluding the most recent 3 days.
Purpose
Tag AdGroup if CPA performance is abnormally high within Campaign 30-lookback excluding recent 3 days
Purpose The Python script identifies and tags AdGroups with abnormally high Cost Per Acquisition (CPA) performance within a campaign using a 30-day lookback period, excluding the most recent 3 days....
Purpose
The Python script identifies and tags AdGroups with abnormally high Cost Per Acquisition (CPA) performance within a campaign over a 30-day lookback period, excluding the most recent day.
Purpose
Python script to pause ad groups in select model-based new vehicle campaigns if there are 3 or fewer vehicles in stock.
Purpose
The Python script identifies ad groups within a campaign that have abnormally high Cost Per Acquisition (CPA) performance, tagging them as outliers.
Purpose
The script assigns Meta ABO Budget values at the group level for active Meta Ad sets, removing any previously assigned values at the campaign level.
Purpose
The Python script automates the process of pausing specific groups in a campaign based on keyword and studio conditions.
Purpose
The Python script automates the process of pausing specific groups in a campaign based on keyword and studio conditions.
Purpose
The Python script automates the process of pausing specific groups in a campaign based on keyword and studio conditions.
Purpose The Python script identifies and tags AdGroups with abnormally high Cost Per Acquisition (CPA) performance within a campaign using a 30-day lookback period, excluding the most recent 3 days....
Purpose
Python script to tag ad groups if their CPA performance is abnormally high within a campaign.
Purpose
Tag AdGroup if CPA performance is abnormally high within Campaign
Purpose
The Python script identifies and tags AdGroups with abnormally low Cost/Conversion performance within a campaign over a specified lookback period.
Purpose
The Python script categorizes media types and sub-types based on specific keywords found in account and campaign data.
Purpose
The Python script categorizes media types and subtypes based on specific keywords found in account and group names within a dataset.
Purpose
The Python script categorizes media types and sub-types based on specific account and group criteria within a dataset.
Purpose
The Python script automates the tagging of media types and subtypes based on account and campaign information in a dataset.
Purpose
The Python script processes input data to update specific columns with predefined values for managing backorder keywords in a marketing context.
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The Python script processes input data to set specific default values for certain columns related to advertising campaigns.
Purpose
The Python script processes input data to update specific columns with predefined values for managing backorder keywords in a marketing context.
Purpose
The Python script processes input data to set specific default values for certain columns related to advertising campaigns.
Purpose
The Python script processes input data to set specific default values for certain columns related to advertising campaigns.
Purpose
The Python script processes input data to update specific columns with predefined values for managing backorder keywords in a marketing context.
Purpose
The Python script processes input data to update specific columns with predefined values for managing backorder keywords in a marketing context.
Purpose
The Python script processes input data to update specific columns with predefined values for structured budget allocation (SBA) purposes.
Purpose
The Python script processes input data to update specific columns with predefined values for structured budget allocation (SBA) purposes.
Purpose
The Python script processes input data to update specific columns with predefined values for structured budget allocation (SBA) purposes.
Purpose
The script updates custom parameters for keywords containing “NOLS,” “NOLM,” or “Backorder” in a specific column of a landing page result.
Purpose
The script updates custom parameters for keywords containing “NOLS,” “NOLM,” or “Backorder” in a specific column of a landing page result.
Purpose
The script categorizes Yahoo DSP ad groups into ‘New’, ‘Mature I’, and ‘Mature II’ based on their spending over the previous 7 days.
Purpose
Tag AdGroup if CPA performance is abnormally high within Campaign
In a Nutshell
The script processes PPC campaign data to update event names based on specific patterns in group names.
Purpose
The script checks if the “IB Last Updated” date is two or more days old and flags such entries for alerting purposes.
Purpose
Auto Pause After Event Date
Purpose
The script calculates and applies auction bid boosts for specific groups in marketing campaigns based on various conditions and metrics.
Purpose
The Python script tags AdGroups with a dynamic action value based on historical and target ROAS (Return on Advertising Spend) to optimize bid adjustments.
Purpose
Clear Daily Winner and Overspend labels daily
Purpose
Tag AdGroup Dimensions per ROAS/CPA Performance
Purpose
The Python script identifies and tags AdGroups with abnormally low ROAS performance within a campaign over a specified lookback period.
Purpose
Tag AdGroup if CPA performance is abnormally high within Campaign 30-lookback excluding recent 3 days
Purpose
The Python script identifies and tags AdGroups with a Cost Per Acquisition (CPA) significantly higher than their peers within the same campaign over a 30-day period.
Category Linked Datasource - M1 Report
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds and a lookback period.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds and a lookback period.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds and historical data analysis.
Purpose
The Python script automates the pausing and re-enabling of advertising campaigns based on their monthly budget targets.
Purpose
The Python script manages the pausing and resuming of advertising campaigns based on their monthly budget utilization.
Purpose
The Python script automates the process of allocating and updating daily budgets for advertising campaigns based on recommended values from a data source.
Purpose
The Python script extracts and tags a specific segment from campaign names based on a defined delimiter.
Purpose
The script extracts and tags a numerical identifier from campaign names based on a specific format.
Purpose
The Python script extracts and updates pacing start and end dates from campaign names in a dataset.
Purpose
The Python script dynamically allocates temporary traffic budgets based on recommended daily budgets from input data.
Purpose
The Python script calculates pacing metrics and recommended daily budgets for digital advertising campaigns based on various campaign parameters and goals.
Purpose
The Python script filters and processes campaign data to update daily budget alerts for campaigns with a “Checked” status.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing cycles and specific conditions.
Purpose
The Python script extracts pacing dates and goals from campaign names in a dataset.
Purpose
The Python script attributes quality call conversions to keywords based on their click weight.
Purpose The Python script identifies and tags AdGroups with abnormally high Cost Per Acquisition (CPA) performance within a campaign over a specified lookback period, excluding recent days due to conversion...
Purpose
The Python script tags campaigns based on their performance metrics compared to predefined benchmarks.
Purpose
The Python script identifies duplicate keywords within advertising campaigns and recommends which keywords to pause based on performance metrics.
Purpose
The Python script identifies and recommends pausing keywords that are at least 30 days old, have zero conversions, and a quality score below 5.
Purpose
The script qualifies suggested keywords based on conversion rates, cost-per-acquisition (CPA) thresholds, and token count limits.
Purpose
The Python script assigns a strategy to campaigns that are currently marked as ‘Unassigned’ based on a specific naming pattern.
Purpose
The script automates the process of merging campaign budget data from a primary data source with override data from Google Sheets for daily budget allocation.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing and traffic conditions.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds for outlier detection.
Purpose
The script automatically tags PS Clients based on keywords found in campaign names.
Purpose
The script updates monthly budgets for strategies by matching them with concatenated values from a Google Sheet.
Purpose
The Python script identifies and reports weekly anomalies in campaign performance metrics using configurable thresholds and historical data analysis.
Purpose
The script updates monthly budget targets for strategies by matching them with concatenated values from a Google Sheet.
Purpose
The Python script identifies and reports weekly anomalies in campaign performance metrics over the last eight weeks, using configurable thresholds for outlier detection.
Purpose
The script automatically tags manufacturer names based on keywords found in campaign names.
Purpose
The Python script calculates the pacing of advertising strategies at the campaign level by comparing month-to-date spending against expected spending based on the total budget and elapsed days.
Purpose
The Python script calculates the adjusted daily budget for advertising strategies at the campaign level based on remaining budget and days left in the month.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds and historical data analysis.
Purpose
The Python script calculates predictive revenue values at the campaign level using gross lead data and program-level revenue and conversion rates.
Purpose
The Python script sets benchmarks for individual campaigns and all campaigns mapped to a strategy to evaluate their performance.
Purpose
The script identifies and tags county codes within campaign names in a DataFrame for further processing.
Purpose
The Python script identifies anomalies in campaign performance by comparing actual metrics against forecasted values using day-of-week forecasts and adjustable thresholds.
Purpose
The Python script adjusts bid ratios for mobile, tablet, and desktop devices based on gross profit-weighted average bids for advertising campaigns.
Purpose
The Python script transfers values from the “Portfolio” column to the “Amazon Portfolio” column in a dataset.
Purpose
The Python script calculates the adjusted daily budget for different strategies based on their remaining budget and the number of days left in the current month.
Purpose
The Python script automates the process of tagging groups with fund types by matching data from a primary data source with a reference Google Sheets document.
Purpose
The Python script tags groups with a FUND dimension based on abbreviations found in group names.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds for outlier detection.
Purpose
The Python script calculates and manages pacing metrics for digital advertising campaigns, ensuring they meet their budget and impression goals efficiently.
Purpose
The Python script calculates and manages campaign pacing and budget allocation for digital marketing campaigns.
Purpose
The script tags the “Current Organic Average Position” dimension with the previous day’s data from Google Search Console.
Purpose
The script tags the “Current Organic Average Position” dimension with the previous day’s data from Google Search Console.
Purpose
Automatically tags the “Product” dimension based on the product detail page URL of an ad.
Purpose
The Python script identifies outliers in weekly campaign performance metrics using adjustable thresholds and generates a report for the last eight weeks to accommodate conversion lag.
Purpose
The Python script identifies and reports anomalies in weekly campaign metrics using configurable thresholds and historical data analysis.
Purpose
The Python script identifies and reports anomalies in weekly campaign metrics using configurable thresholds for outliers and deviations.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds for outlier detection.
Purpose
The script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds for outlier detection.
Purpose
The Python script identifies and reports anomalies in weekly campaign metrics using configurable thresholds for outlier detection and deviation.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds for outlier detection.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds and historical data analysis.
Purpose
The Python script synchronizes daily budget allocations for marketing campaigns between a primary data source and a Google Sheets reference, ensuring up-to-date budget information.
Purpose
The script identifies and reports anomalies in weekly campaign metrics using configurable thresholds for outlier detection and deviation.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds for outliers and deviations.
Purpose
The Python script automatically tags marketing campaigns with a service dimension based on the campaign name.
Purpose
The Python script tags product types based on campaign names in a DataFrame.
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The script identifies and tags U.S. states mentioned in campaign names within a dataset.
Purpose
The script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds and historical data analysis.
Purpose
The Python script identifies and reports conversion anomalies at the campaign level using configurable metrics and thresholds.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds for outlier detection.
Purpose
The script ensures that any campaign with a daily budget below $50 is adjusted to meet this minimum threshold.
Purpose
The Python script automates the tagging of media types and subtypes based on specific account and campaign criteria.
Purpose
The Python script automates the tagging of media types and subtypes based on account and campaign information in a dataset.
Purpose
The script enforces a Target CPA Cap of $1000 for all active strategies or campaigns.
Purpose
The Python script identifies and analyzes anomalies in weekly campaign metrics to detect outliers and trends for performance optimization.
Purpose
The Python script clears existing dimension values to ensure only the top 20 keywords are labeled in the next day’s dimension script.
Purpose
The Python script identifies and labels the top-performing keywords from a sorted report based on cost per conversion.
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The script identifies and tags the top 10 keywords with the highest cost per conversion from a Google Ads report.
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The Python script identifies and analyzes anomalies in weekly campaign performance metrics over the past eight weeks for Powpow Enterprise Retail.
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The script assigns dimension labels to campaigns based on their naming conventions and campaign types.
Purpose
Automates the process of populating a remarketing dimension based on specific campaign name values in a dataset.
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Automates the process of populating the brand dimension in a dataset based on specific rules applied to campaign name values.
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Automates the categorization of campaigns by analyzing campaign names and assigning appropriate categories based on predefined rules.
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Automates the process of populating device and match type dimensions based on campaign name values in a dataset.
Purpose
Automates the process of determining and populating subregion dimensions based on campaign name values in a dataset.
Purpose
The script assigns the ‘Auto Pause Status’ of ‘traffic’ to new campaigns that are part of a strategy but do not yet have this status applied.
Purpose
The Python script categorizes PPC scores into letter grades ranging from A to D based on predefined score ranges.
Purpose
Automates the process of updating ‘utmgroup’ dimensions based on ad group names by replacing spaces with plus signs.
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Automates the process of populating utmcampaign and utmmedium dimensions based on campaign name and campaign type values, respectively.
Purpose
The Python script processes and displays the initial rows of a primary data source for further analysis.
Purpose
The script automatically pauses campaigns in a dataset if their associated event dates have passed.
Purpose
The Python script identifies anomalies in campaign performance by analyzing day-of-week forecasts and calculating deviations using adjustable thresholds.
Purpose
The Python script processes keyword data to generate a structured keyword template based on specific group terms.
Purpose
The script parses campaign names to extract and tag seminar details such as format, location, registration target, and seminar code.
Purpose
The Python script automates the process of enabling a campaign override flag when adjusted recommendations exceed predefined caps set in Google Sheets.
Purpose
The Python script parses campaign names to automatically tag hotel-related dimensions, handling special cases for specific account names.
Purpose
The Python script identifies and reports anomalies in campaign performance metrics using day-of-week forecasts and adjustable thresholds.
Purpose
The Python script manages campaign budgets by pausing campaigns when the month-to-date (MTD) spend reaches the monthly budget specified in the strategy.
Purpose
The Python script identifies and reports conversion anomalies at the campaign level by analyzing metrics over a specified period.
Purpose
The script identifies and tags the 10 most underperforming keywords in both “Brand” and “NonBrand” categories based on conversion metrics.
Purpose
The script identifies and tags the top 10 keywords as “Top Performer” based on cost per conversion over the last 60 days for each school program.
Purpose
The Python script identifies and reports conversion anomalies at the campaign level for a dental network, using configurable metrics and thresholds.
Purpose
The Python script processes a DataFrame to extract and categorize information about campaigns, such as studio names, feed categories, and language targets.
Purpose
The Python script updates benchmark dimensions in Marin by copying benchmarks from a staging Google Sheet, matching them with strategies using the ‘Abbreviation’ column.
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The Python script processes a DataFrame to extract and replace search phrases from keywords based on a given title, creating a new column with the modified keyword.
Purpose
The Python script extracts a title from the “Group” column using a regex pattern and inserts it into the “Title” column.
Purpose
Automates the process of populating utmcampaign and utmmedium dimensions based on campaign name and campaign type values.
Purpose
The Python script identifies and reports weekly anomalies in campaign performance metrics using configurable thresholds for outlier detection.
Purpose
The Python script calculates and tags campaigns with strategy-level benchmark scores for metrics such as MTD Gross Lead, CPL, CPL Trend, and Interview Rate.
Purpose
The script identifies and reports weekly anomalies in campaign performance metrics using configurable thresholds for outliers and deviations.
Purpose
The Python script ingests media plan spend targets from a Google Sheets document and maps them to strategies for the current month.
Purpose
The Python script filters and processes campaign data to update daily budget alerts for campaigns with a “Checked” status.
Purpose
The script filters and processes campaign data to identify and update daily budget alerts for campaigns marked as “Checked.”
Purpose
The script filters and processes campaign data to identify and update daily budget alerts for campaigns marked as “Checked.”
Purpose
The script filters and processes campaign data to identify and update daily budget alerts for campaigns marked as “Checked.”
Purpose
The script filters and processes campaign data to identify and update daily budget alerts for campaigns marked as “Checked.”
Purpose
The Python script filters and processes campaign data to identify and update daily budget alerts for campaigns marked as “Checked.”
Purpose
The Python script filters and processes campaign data to update daily budget alerts for campaigns with a “Checked” status.
Purpose
The script filters and processes campaign data to identify and update daily budget alerts for campaigns marked as “Checked.”
Purpose
The script filters and processes campaign data to identify and update daily budget alerts for campaigns marked as “Checked.”
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds for outliers and deviations.
Purpose
The Python script identifies and reports weekly anomalies in campaign performance metrics using configurable thresholds for outlier detection.
Purpose
The script filters and processes campaign data to identify and update daily budget alerts for campaigns marked as “Checked.”
Purpose
The Python script identifies advertisements with expired or soon-to-expire application deadlines across various publishers.
Purpose
The Python script tags Meta Ads campaigns at the ad level based on performance metrics, using specific business rules to determine if campaigns are “winning” or “losing.”
Purpose
The Python script tags ad group performance based on specific business rules for reach, traffic, and conversion metrics.
Purpose
The Python script calculates pacing metrics and recommended daily budgets for digital advertising campaigns based on various campaign parameters and goals.
Purpose
The Python script automates the tagging of media types and sub-types for marketing campaigns based on specific account and publisher information.
Purpose
The Python script automates the tagging of media types and sub-types for marketing campaigns based on specific account and publisher information.
Purpose
The Python script automates the tagging of media types and sub-types for marketing campaigns based on specific account and publisher information.
Purpose
The script extracts and assigns a country code from a group name into a designated ‘Country Code’ dimension.
Purpose
The script extracts and categorizes campaign types and game names from campaign names in a dataset.
Purpose
The Python script automates the tagging of media types and sub-types for marketing campaigns based on specific account and publisher information.
Purpose
The Python script tags Marin Dimensions for Meta campaigns based on performance metrics such as CPM and CTR.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics, focusing on conversions.
Purpose
The Python script identifies and reports conversion anomalies at the campaign level using configurable metrics and thresholds.
Purpose
The script identifies conflicting keywords between current and negative keywords in an account.
Purpose
The script identifies and recommends pausing keywords that are at least 30 days old, have zero conversions, and a quality score below 5.
Purpose
The script identifies and tags the 10 most underperforming keywords in both “Brand” and “NonBrand” categories based on conversion metrics.
Purpose
The Python script identifies and reports on campaign performance anomalies by detecting outliers in key metrics using configurable thresholds and generates a weekly report accommodating conversion lag.
Purpose
The Python script aligns the SBA Strategy Name and Targets with those of the Dynamic Allocation Strategy.
Purpose
The script identifies and tags the 10 most underperforming keywords in both “Brand” and “NonBrand” categories based on conversion metrics.
Purpose
The script identifies and tags the 10 most underperforming keywords in both “Brand” and “NonBrand” categories based on conversion metrics.
Purpose
This script identifies and tags the 10 most underperforming keywords within both “Brand” and “NonBrand” categories based on their conversion metrics.
Purpose
The script identifies and tags the 10 most underperforming keywords in both “Brand” and “NonBrand” categories based on conversion metrics.
Purpose
The script identifies and tags AdGroups with abnormally high Cost Per Acquisition (CPA) performance within a campaign over a 30-day lookback period, excluding the most recent day.
Purpose
The script compares the Cost Per Acquisition (CPA) for campaigns between the current quarter and the last week, flagging those with significant deviations.
Purpose
The Python script is designed to clear the ‘AUTOMATION - Outlier’ column in a data table to prepare it for further processing.
Purpose
The Python script is designed to clear the ‘AUTOMATION - Outlier’ column in a data table to reset or prepare it for new data processing.
Purpose
The Python script processes a data source to clear and prepare a specific column for further automation tasks related to outlier detection.
Purpose
The Python script processes a data source to clear and prepare a specific column for further automation tasks related to outlier detection.
Purpose
The script identifies and tags AdGroups with abnormally high Cost Per Acquisition (CPA) performance within a campaign using a 30-day lookback period, excluding the most recent day.
Purpose
The script identifies and tags the top 10 performing keywords based on conversion and cost per conversion metrics over the last 60 days.
Purpose
The Python script evaluates campaign performance by comparing key metrics against benchmarks and assigns performance tags accordingly.
Purpose
The Python script detects anomalies in campaign performance metrics by comparing actual values against forecasted values using statistical methods.
Purpose
The script extracts the country code from a group name by identifying the segment before the first hyphen and assigns it to a ‘Country Code’ dimension.
Purpose
Python script that identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
The script automates the extraction and tagging of the “Country Code” dimension from campaign names for Carburant’s Square Enix, excluding Meta publishers.
Purpose
Lookup new month’s spend target and update via strategy bulk file
Purpose
The script identifies and tags the top 10 keywords as “Top Performer” based on conversion metrics and cost efficiency over the last 60 days.
Purpose
The script identifies and tags the top 10 keywords as “Top Performer” based on conversion metrics over the last 60 days.
Purpose
The script identifies and tags the top 10 performing keywords based on conversion metrics and cost efficiency over the last 60 days.
Purpose
The script identifies and tags AdGroups with abnormally high Cost Per Acquisition (CPA) performance within a campaign over a 30-day lookback period, excluding the most recent 3 days.
Purpose
The script identifies and tags AdGroups with abnormally high Cost Per Acquisition (CPA) performance within a campaign over a 30-day lookback period, excluding the most recent 3 days.
Purpose
Python script that takes the unspent Strategy Spend Target from the previous month and adds it to the current Spend Target.
Purpose
The script extracts and assigns a campaign type from a campaign name based on a specific tag format.
Purpose
The script extracts a project number from a campaign name and assigns it to a specific dimension called ‘Numero de Projet’.
Purpose
The script updates the ‘Campaign CPA This Quarter’ column with the current quarter’s CPA values for each campaign.
Purpose
The Python script automates the process of updating strategy spend targets by copying program budgets from Google Sheets and aligning them with existing strategies.
Purpose
SBA Campaign Budget Pacing - Minimize Lost IS (Budget)
Purpose
Python script to copy values from the ‘Strategy’ and ‘Strategy Target’ columns to the ‘SBA Strategy’ and ‘SBA Campaign Budget’ columns, respectively.
Purpose
Python script to pause campaigns when the monthly spend reaches the monthly budget stored in the strategy.
Purpose
Tag AdGroup if CPA performance is abnormally high within Campaign 30-lookback excluding recent 3 days
Purpose The Python script identifies and tags AdGroups with abnormally high Cost Per Acquisition (CPA) performance within a campaign using a 30-day lookback period, excluding the most recent 3 days....
Purpose
The Python script identifies and tags AdGroups with abnormally high Cost Per Acquisition (CPA) performance within a campaign over a 30-day lookback period, excluding the most recent day.
Purpose
The script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
This Python script generates a performance anomaly report for pay-per-click marketing campaigns.
Purpose
The Python script automates the process of pausing and resuming advertising campaigns based on their monthly budget and current spending, using dimension tags for monitoring.
Purpose
The script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
The Python script automates the process of tagging campaigns with program manager information using data from Google Sheets.
Purpose
The Python script automates the process of pausing and resuming advertising campaigns based on their monthly budget and current spending, using dimension tags for monitoring.
Purpose
The Python script updates strategy spend targets by copying monthly budget data from Google Sheets to a staging area, matching abbreviations with strategies.
Purpose
The script processes campaign data to extract and categorize geographical, segment, targeting, and platform information from campaign names.
Purpose
The Python script optimizes the allocation of campaign budgets to minimize lost impression share due to budget constraints.
Purpose
The Python script processes campaign data to extract and tag audience and segment information based on predefined keywords.
Purpose
The Python script identifies and tags geographical regions in campaign names based on predefined keywords.
Purpose
The Python script processes campaign data to extract and tag platform and targeting information from campaign names.
Purpose
The Python script extracts and categorizes geo, segment, targeting, and platform information from campaign names in a dataset.
Purpose
The script calculates the total publication cost and its percentage for each ‘SBA Strategy’ and ‘Campaign’ group in a dataset.
Purpose
The Python script extracts keyword match types from campaign names and updates a data frame accordingly.
Purpose
The Python script identifies and tags the intent of marketing campaigns based on specific keywords in their names.
Purpose
The script processes campaign names to extract and assign topics, updating a dataset accordingly.
Purpose
The Python script manages campaign budgets by pausing campaigns when the month-to-date (MTD) spend approaches or exceeds the monthly budget set in a strategy.
Purpose
Python script to pause and resume campaigns based on monthly budget spend.
Purpose
The script extracts and assigns a specific tag from campaign names to a designated column in a dataset.
Purpose
The Python script optimizes the allocation of campaign budgets to minimize lost impression share due to budget constraints.
Purpose
The Python script extracts and categorizes tags from non-brand campaign names based on a specified separator.
Purpose
The Python script calculates and adjusts daily budgets for marketing campaigns based on structured budget allocation and pacing compliance.
Purpose
Python script that allocates budgets to campaigns based on various factors such as remaining budget, weekdays in the month, historical spend, and minimum daily budget.
Purpose
The script identifies campaigns with significant discrepancies between the reported two-year publisher cost and the actual publisher cost over the last two years.
Purpose
The script alerts a Program Manager when the percentage difference in a dataset is 15% or more, either positively or negatively.
Purpose
Campaigns Anomaly
Purpose
This script calculates the percentage difference between the current daily budget and the SBA recommended daily budget for campaigns.
Purpose
Python script to pause ad groups in select model-based new vehicle campaigns if there are 3 or fewer vehicles in stock.
Purpose
The script automatically tags marketing campaigns as either “Brand” or “NonBrand” based on their names.
Purpose
Automating Dimension Tagging with the landing page in the dimension “Landing Page Dim” and the keyword and match type combination in the dimension “Keyword MatchType Dim”.
Purpose
Python script to pause and resume campaigns based on Dimension tags (SBA Strategy and SBA Monthly Budget) by monitoring bi-hourly intraday spend.
Purpose
This Python script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds and historical data analysis.
Purpose
Python script to parse campaign names and add campaign-level Marin Dimensions Tag for Category.
Purpose
Python script to parse campaign names and add campaign-level Marin Dimensions Tag for campaign type.
Purpose
Campaign Performance Anomaly Report with Summary
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of advertising campaigns to different bidding strategies based on their creation date.
Purpose
The script automates the assignment of advertising campaigns to different bidding strategies based on their creation date.
Purpose
The script automates the assignment of advertising campaigns to different bidding strategies based on their creation date.
Purpose
The script automates the assignment of advertising campaigns to different bidding strategies based on their creation date.
Purpose The script automates the assignment of a bidding strategy to campaigns based on their creation date, switching from a “Data Gathering” strategy to a “Performance Bidding” strategy after seven...
Purpose
The script automates the assignment of advertising campaigns to different bidding strategies based on their creation date.
Purpose
The script automates the assignment of advertising campaigns to different bidding strategies based on their creation date.
Purpose
Python script that allocates budgets to campaigns based on various factors such as remaining budget, weekdays in the month, historical spend, and minimum daily budget.
Purpose
The script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
Python script to add a tag to a campaign name based on a specified separator.
Purpose
This Python script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
The script updates the “Keyword Cost/Conv Performance” dimension for keywords whose cost per conversion is 30% greater than their campaign’s cost per conversion.
Purpose
The Python script optimizes campaign budget allocation to minimize lost impression share due to budget constraints by considering historical spend, remaining budget, and other factors.
Purpose
Python script that identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
The script updates the “Campaign 30 Day Cost per Conversion” dimension to support keyword-level anomaly detection for cost per conversion.
Purpose
Pause Poor performing Keywords with 0 Conv. and QS <5
Purpose
The script identifies campaigns where the previous day’s spending was at least 90% of the daily budget and flags them as “Budget Capped” if certain conditions are met.
Purpose
The Python script identifies and tags advertising campaigns that have nearly exhausted their daily budget based on specific criteria.
Purpose
The Python script identifies and tags advertising campaigns that have nearly exhausted their daily budget based on specific criteria.
Purpose
The script identifies campaigns where the previous day’s spending is at least 90% of the daily budget and flags them as “Budget Capped” if certain conditions are met.
Purpose
The Python script identifies and tags advertising campaigns that have nearly exhausted their daily budget based on specific criteria.
Purpose
The Python script identifies and tags advertising campaigns that have nearly exhausted their daily budget based on specific criteria.
Purpose
The Python script identifies and tags advertising campaigns that have nearly exhausted their daily budget based on specific criteria.
Purpose
The Python script identifies and tags advertising campaigns that have nearly exhausted their daily budget based on specific criteria.
Purpose The Python script identifies campaigns where the previous day’s spending is at least 90% of the daily budget and flags them as “Budget Capped” if certain conditions are met....
Purpose The Python script identifies campaigns where the previous day’s spending is at least 90% of the daily budget and flags them as “Budget Capped” if certain conditions are met....
Purpose The Python script identifies campaigns where the previous day’s spending is at least 90% of the daily budget and flags them as “Budget Capped” if certain conditions are met....
Purpose The Python script identifies campaigns where the previous day’s spending is at least 90% of the daily budget and flags them as “Budget Capped” if certain conditions are met....
Purpose The Python script identifies campaigns where the previous day’s spending is at least 90% of the daily budget and flags them as “Budget Capped” if certain conditions are met....
Purpose The Python script identifies campaigns where the previous day’s spending was at least 90% of the daily budget and flags them as “Budget Capped” if certain conditions are met....
Purpose
The Python script identifies campaigns where the previous day’s spending is at least 90% of the daily budget and flags them for budget capping.
Purpose
The script identifies anomalies in campaign performance by comparing actual metrics against forecasted values using statistical methods.
Purpose
Parse Campaign Name and add Campaign-level Marin Dimensions Tag for Placement.
Purpose
Campaign Performance Anomaly Report with Summary
Purpose
The Python script identifies anomalies in campaign performance by comparing actual metrics against day-of-week forecasts using adjustable thresholds for interquartile range (IQR) and deviation.
Purpose
Python script to pause and resume campaigns based on Dimension tags (SBA Strategy and SBA Monthly Budget) by monitoring bi-hourly intraday spend.
Purpose
The Python script automates the process of pausing and resuming advertising campaigns based on their monthly budget and current spending, using dimension tags for monitoring.
Purpose
The script identifies keywords with duplicate MKWID values and prepares them for re-upload with blank custom parameters.
Purpose
The Python script optimizes budget allocation for marketing campaigns to minimize lost impression share due to budget constraints.
Purpose
Auto Tag Campaign with Tipo de Campanha Dimension
Purpose
The Python script identifies anomalies in campaign performance by analyzing day-of-week forecasts and calculating deviations using adjustable thresholds.
Purpose
Automatically tags campaigns with ‘Brand’ or ‘NonBrand’ based on specific keywords in the campaign name.
Purpose
Auto Tag the funnel stage of campaigns based on the campaign name.
Purpose
The Python script generates negative keywords for each account in a dataset to optimize single keyword campaigns.
Purpose
Calculates the difference between SBA allocation and the percentage of total publication cost.
Purpose
The Python script identifies anomalies in campaign performance by comparing actual metrics against forecasted values using day-of-week forecasts and adjustable thresholds.
Purpose
The script calculates the total publication cost and its percentage for each ‘SBA Strategy’ and ‘Campaign’ group in a dataset.
Purpose
The Python script identifies and reports campaign-level outliers in key conversion metrics, such as Total AMU Sign-Ups, by calculating anomalies using adjustable thresholds.
Purpose
The script automates the process of copying and updating monthly budget allocations from Google Sheets to a structured budget allocation system by matching campaign strategies.
Purpose
The Python script optimizes budget allocation for marketing campaigns to minimize lost impression share due to budget constraints.
Purpose
The script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
Python script that pauses and re-enables campaigns based on their monthly spend and budget.
Purpose
SBA Campaign Budget Pacing - Minimize Lost IS (Budget)
Purpose
The Python script extracts and organizes specific information from campaign names into a structured format for further analysis.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing cycles and specific conditions.
Purpose
The Python script calculates pacing metrics for digital advertising campaigns to ensure they meet their budget and performance goals.
Purpose
The Python script extracts start and end dates from campaign names and updates them in a structured format for further analysis.
Purpose
The Python script extracts and updates pacing start and end dates from campaign names in a dataset.
Purpose
The Python script identifies and reports anomalies in campaign performance metrics by comparing actual data against forecasted values using statistical methods.
Purpose
This Python script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
Remove the dollar sign ($) from the SBA Campaign Budget column in a given input dataframe.
Purpose
The Python script extracts and updates pacing start and end dates from campaign names in a dataset.
Purpose
The Python script extracts and updates pacing start and end dates from campaign names in a dataset.
Purpose
The script extracts and updates pacing start and end dates from campaign names in a dataset.
Purpose
The Python script extracts and updates pacing start and end dates from campaign names in a dataset.
Purpose
Python script to filter and process campaign data based on specific criteria.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing cycles and specific conditions.
Purpose This Python script calculates various metrics and values for a campaign, such as total impressions, total clicks, total views, pacing cycle start and end dates, daily targets, expected spend...
Purpose
The Python script calculates pacing metrics and recommended daily budgets for digital advertising campaigns based on various campaign parameters and goals.
Purpose
Python script to filter and process campaign data based on specific criteria.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing cycles and specific conditions.
Purpose This Python script calculates various metrics and values for a campaign, such as total impressions, total clicks, total views, pacing cycle start and end dates, daily targets, expected spend...
Purpose
The Python script calculates pacing metrics and recommended daily budgets for digital advertising campaigns based on various campaign parameters and goals.
Purpose
Python script to filter and manipulate data from a primary data source based on specific criteria.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing and traffic conditions.
Purpose This Python script calculates various metrics and values for a campaign, such as total impressions, total clicks, total views, pacing cycle start and end dates, daily targets, expected spend...
Purpose
The Python script calculates pacing metrics for digital advertising campaigns to ensure they meet their budget and performance goals.
Purpose
Python script to filter and manipulate data from a primary data source based on specific criteria.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing cycles and specific conditions.
Purpose This Python script calculates various metrics and values for a campaign, such as total impressions, total clicks, total views, pacing cycle start and end dates, daily targets, expected spend...
Purpose
The Python script calculates pacing metrics and recommended daily budgets for digital advertising campaigns based on various campaign parameters and goals.
Purpose
Python script to filter and process campaign data based on specific criteria.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing cycles and specific conditions.
Purpose This Python script calculates various metrics and values for a campaign, such as total impressions, total clicks, total views, pacing cycle start and end dates, daily targets, expected spend...
Purpose
The Python script calculates pacing metrics and recommended daily budgets for digital advertising campaigns based on various campaign parameters and goals.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing cycles and specific criteria.
Purpose
The script calculates and manages pacing metrics for digital advertising campaigns to ensure they meet their budget and performance goals.
Purpose
Python script to filter and process campaign data based on specific criteria.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing cycles and specific conditions.
Purpose This Python script solves the problem of calculating various metrics and values for a campaign, such as total pub cost, total impressions, total clicks, total views, pacing cycle start...
Purpose
The Python script calculates pacing metrics and recommended daily budgets for digital advertising campaigns based on various campaign parameters and goals.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing and traffic conditions.
Purpose
The Python script calculates pacing metrics and recommended daily budgets for digital advertising campaigns based on various campaign parameters and goals.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing cycles and specific conditions.
Purpose
The script pauses advertisements if they have zero conversions after spending $100.
Purpose
Pauses ads that have a CPA of $150+ over the previous 7 days
Purpose
The Python script calculates and manages pacing metrics for digital advertising campaigns to ensure they meet their budget and performance goals.
Purpose
The script automates the assignment of dimension tags to campaigns based on their names.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing and traffic conditions.
Purpose
The Python script calculates and stores the average cost-per-click (CPC) for the last 28 days in a dimension called “Test.”
Purpose
The script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
Python script that identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
The script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
Python script that identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
The script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
Python script that identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
The script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
This Python script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
Python script that identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
The script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
Python script that identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
The Python script automates the process of pausing and resuming advertising campaigns based on their monthly budget and current spending, using dimension tags for monitoring.
Purpose
The Python script optimizes the allocation of campaign budgets to minimize lost impression share due to budget constraints.
Purpose Python script that solves the problem of allocating budgets to campaigns based on various factors such as remaining budget, weekdays in the month, historical spend, and minimum daily budget....
Purpose The Python script identifies anomalies in campaign performance by analyzing day-of-week forecasts and rolling up performance metrics to dimensions such as Product Category and Brand/Generic, using adjustable IQR and...
Purpose
The Python script identifies ad groups within a campaign that have abnormally high Cost Per Acquisition (CPA) performance, tagging them as outliers.
Purpose
The Python script automates the pausing and resuming of advertising campaigns based on monthly budget constraints and dimension tags, monitoring spending bi-hourly.
Purpose
The script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
Campaign Anomaly Detection
Purpose
Python script solves the problem of generating a performance anomaly report for pay-per-click marketing data.
Purpose
The Python script automatically pauses or resumes marketing campaigns based on their month-to-date (MTD) spending relative to a predefined budget cap.
Purpose
The Python script extracts pacing dates and goals from campaign names in a dataset to enhance data analysis.
Purpose
The Python script extracts pacing dates and goals from campaign names in a dataset.
Purpose
The script automatically tags marketing campaigns as “Brand” or “Non-Brand” based on the campaign name, specifically tagging as “Non-Brand” if the name starts with ‘EEE’.
Purpose
The Python script extracts pacing dates and goals from campaign names in a dataset.
Purpose
The Python script automates the tagging of campaign data by combining ‘School’ and ‘Program’ dimensions into a ‘School_Program’ tag and assigns it to the SBA Strategy.
Purpose
Python script that combines the ‘School’ and ‘Program’ columns into a new column called ‘School_Program’ and assigns the created tag to the ‘School_Program’ column.
Purpose
The script parses campaign names to automatically tag them with a program identifier based on a specific naming convention.
Purpose
The script parses campaign names to automatically tag them with a school identifier based on a specific naming convention.
Purpose
The Python script extracts pacing dates and goals from campaign names in a dataset.
Purpose
The Python script extracts pacing dates and goals from campaign names in a dataset.
Purpose
The Python script extracts pacing dates and goals from campaign names in a dataset.
Purpose
Example of what Budget Pacing through script could look like
Purpose
The script parses campaign names to automatically tag them with a region dimension based on specific patterns.
Purpose
The script extracts pacing dates and goals from campaign names in a dataset to populate missing information.
Purpose
The script extracts pacing dates and goals from campaign names in a dataset to populate missing information.
Purpose
The script extracts pacing dates and goals from campaign names in a dataset to populate missing information.
Purpose
This Python script solves the problem of calculating various metrics and values for pacing and budget allocation in a digital advertising campaign.
Purpose
The Python script optimizes daily budget allocation for Search SBA strategies by considering factors like remaining budget, weekdays, historical spend, and campaign activity.
Purpose
The script assigns Meta ABO Budget values at the group level for active Meta Ad sets, removing any previously assigned values at the campaign level.
Purpose
The Python script identifies paused CCT groups with single-word keywords that have been paused within the last five days.
Purpose
The Python script identifies paused CCT groups with single-word keywords that have been paused within the last five days.
Purpose
The Python script identifies and filters paused CCT groups based on a specific date range.
Purpose
The Python script identifies and filters paused CCT groups based on a specific date range.
Purpose
The Python script automates the process of pausing specific groups in a campaign based on keyword and studio conditions.
Purpose
The Python script automates the process of pausing specific groups in a campaign based on keyword and studio conditions.
Purpose
The Python script automates the process of pausing specific groups in a campaign based on keyword and studio conditions.
Purpose
SBA Campaign Budget Pacing - Minimize Lost IS (Budget)
Purpose The Python script identifies and tags AdGroups with abnormally high Cost Per Acquisition (CPA) performance within a campaign using a 30-day lookback period, excluding the most recent 3 days....
Purpose
The Python script monitors campaign spending and recommends pausing campaigns if projected costs exceed the monthly budget.
Purpose
SBA Campaigns Watcher
Purpose
The Python script identifies and filters paused CCT groups based on a specific date range.
Purpose
The Python script identifies paused CCT groups with single-word keywords that have been paused within the last five days.
Purpose
The Python script assigns geographic values to a campaign’s Geo dimension based on specific keywords in the campaign name.
Purpose
The Python script extracts pacing dates and goals from campaign names in a dataset.
Purpose
Pace Daily Budget for each Strategy
Purpose
The script automates the tagging of campaigns as either “Brand” or “Generic” based on specific keywords in account and campaign names.
Purpose
Python script that looks for duplicate campaigns created by Dynamic Campaigns and sets the status to “Deleted” for any older campaigns.
Purpose
The script assigns corrected budget values at the campaign level and labels campaigns using ABO Budgets.
Purpose
The Python script processes campaign data to aggregate and deduplicate information based on specific criteria.
Purpose
The Python script optimizes budget allocation for marketing campaigns to minimize lost impression share due to budget constraints.
Purpose
The Python script identifies campaigns with significant budget overspend or underspend by comparing publication costs to daily budgets.
Purpose
Python script to update campaign information based on specified conditions.
Purpose
The script identifies anomalies in campaign performance metrics for hotels by comparing actual data against forecasts and calculating deviation scores.
Purpose
The Python script extracts and updates pacing start and end dates from campaign names in a dataset.
Purpose
The script extracts and updates pacing start and end dates from campaign names in a dataset.
Purpose
The script extracts and updates pacing start and end dates from campaign names in a dataset.
Purpose
The Python script extracts and updates pacing start and end dates from campaign names in a dataset.
Purpose
The script extracts and updates specific campaign details from campaign names in a dataset.
Purpose
The Python script extracts and updates pacing start and end dates from campaign names in a dataset.
Purpose
The Python script identifies duplicate keywords within the same publisher and account, recommends which keywords to pause based on performance metrics, and sends an email report.
Purpose
The Python script calculates the remaining days for each campaign based on its specified end date.
Purpose
The script updates a historical quality score dimension with the current quality score value for the first of the month.
Purpose
Tag Brand vs Non Brand dimension automatically
Purpose
Parse out and populate Pacing - Start Date and Pacing - End Date in ISO format from the Campaign column of a DataFrame.
Purpose
The Python script assigns dimension values to campaigns based on whether they are categorized as “Brand,” “Local,” or “Emergency.”
Purpose
Python script to detect anomalies in campaign data and generate an anomaly report.
Purpose
The Python script detects anomalies in campaign performance metrics for different campaign types and accounts.
Purpose
Analyze campaign data to identify anomalies and calculate anomaly scores for each product and account.
Purpose
Python script to tag ad groups if their CPA performance is abnormally high within a campaign.
Purpose
The Python script calculates the “Set Rate” for campaigns by aggregating six months of data, excluding the most recent 30 days, to account for latency.
Purpose
Tag AdGroup if CPA performance is abnormally high within Campaign
Purpose The Python script adjusts the daily budget of Bing campaigns by 5% if their ROAS performance exceeds 3.5% and they have a lost impression share due to budget of...
Purpose
The Python script automates the process of copying and updating Epicor monthly budgets from Google Sheets to a staging area on the first day of each month.
Purpose
The Python script identifies and tags AdGroups with abnormally low Cost/Conversion performance within a campaign over a specified lookback period.
Purpose
Python script to pause and re-enable campaigns based on budget allocation.
Purpose
The script processes and merges data from two sources to generate a structured output for offline import.
Purpose
The Python script processes and merges data from two sources to generate a structured dataset for advertising campaigns, ensuring URLs are correctly formatted and populated.
Purpose
The Python script processes and merges data from two sources to prepare a structured dataset for offline import, ensuring URLs are correctly assigned based on specific conditions.
Purpose
The Python script processes and merges data from two sources to format email campaign information for Memira DK.
Purpose
Python script to auto-push a subset of suggested keywords from a keyword recommendations grid.
Purpose
The Python script processes marketing data to determine and populate the “NTB Uplift” value based on specific business conditions.
Purpose
Set dimensions based on campaign name.
Purpose
The Python script manages campaign statuses by pausing them when the month-to-date (MTD) spend reaches the Epicor Monthly Budget.
Purpose
The script automates the process of setting all active Google Product Groups to Bid Override with no end date.
Purpose
The Python script identifies inactive campaigns based on their publication costs and predicted user visits within a structured budget allocation framework.
Purpose
Python script to tag campaigns based on their performance metrics compared to benchmarks.
Purpose
Python script to tag campaigns based on their performance metrics compared to benchmarks.
Purpose
Python script to tag campaigns based on their performance metrics compared to benchmarks.
Purpose
Python script to tag campaigns based on their performance metrics compared to benchmarks.
Purpose
Python script to tag campaigns based on their performance metrics compared to benchmarks.
Purpose
Python script to tag campaigns based on their performance metrics compared to benchmarks.
Purpose
Python script to tag campaigns based on their performance metrics compared to benchmarks.
Purpose
Python script to tag campaigns based on their performance metrics compared to benchmarks.
Purpose
Tag Dimensions based on CVR, CPL, CPC, CTR, Performance compared to previous 6 months.
Purpose
Tag Dimensions based on CVR, CPL, CPC, CTR Performance compared to previous 6 months.
Purpose
Tag Dimensions based on CVR, CPL, CPC, CTR Performance compared to previous 6 months.
Purpose
Tag Dimensions based on CVR, CPL, CPC, CTR Performance to previous 6 months.
Purpose
Tag Dimensions based on CRV, CPL, CPC, CTR performance compared to previous 6 months.
Purpose
Tag Dimensions based on CVR, CPL, CPC, CTR Performance compared to previous 6 months.
Purpose
The Python script processes and merges data from two sources to generate a structured dataset for advertising campaigns, ensuring URLs are correctly formatted and assigned.
Purpose
The script updates campaign parameters such as status, daily budget, and target CPA for new launch campaigns based on specified ROAS criteria.
Purpose
The Python script automates the updating of campaign statuses, bid strategies, and target CPA values for new launch campaigns based on specific performance metrics.
Purpose
Python script to tag campaigns based on their performance metrics compared to benchmarks.
Purpose
The script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The Python script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The Python script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The Python script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The script adjusts keyword headroom based on historical performance data to optimize advertising budgets.
Purpose
The Python script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The Python script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The Python script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The Python script updates the “Amazon Portfolio” column in a DataFrame to match the “Portfolio” column when they differ or when “Amazon Portfolio” is empty.
Purpose
The Python script updates the status, target CPA, bid strategy, and maturity of new launch campaigns based on specific performance criteria.
Purpose
The Python script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
This Python script is used to merge data from a primary data source and a reference data source, and then generate an output dataframe.
Purpose
The Python script processes and merges data from two sources to update and format URLs based on specific conditions for Memira SE’s email import.
Purpose
Python script for media type tagging.
Purpose
The Python script categorizes media campaigns by assigning media types and subtypes based on specific criteria related to publisher names and campaign details.
Purpose
The Python script categorizes media campaigns by assigning media types and subtypes based on specific criteria.
Purpose
Python script for tagging media types and subtypes in a dataset.
Purpose
The Python script categorizes media types and sub-types based on specific keywords found in account and campaign data.
Purpose
The Python script categorizes media types and subtypes based on specific keywords found in account and group names within a dataset.
Purpose
The Python script categorizes media types and sub-types based on specific account and group criteria within a dataset.
Purpose
The Python script automates the tagging of media types and subtypes based on account and campaign information in a dataset.
Purpose
Tag Dimensions based on CVR, CPL, CPC, CTR Performance compared to previous 6 months
Purpose
Python script to tag campaigns based on the comparison between the publisher cost and the daily budget.
Purpose
Tag Dimensions based on CVR, CPL, CPC, and CTR Performance compared to Preset Benchmarks
Purpose
The Python script is designed to clear the “Conversion Influencers” dimension values in a dataset.
Purpose
The script identifies and labels the top 10 keywords based on cost per conversion over the last 60 days, requiring at least one conversion to be considered.
Purpose
The Python script allocates daily budgets for each Epicor Budget Group by considering remaining budgets, weekdays, historical spending, and campaign activity.
Purpose
The Python script processes input data to update specific columns with predefined values for managing backorder keywords in a marketing context.
Purpose
The Python script processes input data to set specific default values for certain columns related to advertising campaigns.
Purpose
The Python script processes input data to update specific columns with predefined values for managing backorder keywords in a marketing context.
Purpose
The Python script processes input data to set specific default values for certain columns related to advertising campaigns.
Purpose
The Python script processes input data to set specific default values for certain columns related to advertising campaigns.
Purpose
The Python script processes input data to update specific columns with predefined values for managing backorder keywords in a marketing context.
Purpose
The Python script processes input data to update specific columns with predefined values for managing backorder keywords in a marketing context.
Purpose
The Python script processes input data to update specific columns with predefined values for structured budget allocation (SBA) purposes.
Purpose
The Python script processes input data to update specific columns with predefined values for structured budget allocation (SBA) purposes.
Purpose
The Python script processes input data to update specific columns with predefined values for structured budget allocation (SBA) purposes.
Purpose
The script updates custom parameters for keywords containing “NOLS,” “NOLM,” or “Backorder” in a specific column of a landing page result.
Purpose
Python script for negative keyword expansion.
Purpose
Python script solves the problem of adjusting the Publisher Target ROAS for Google campaigns based on the daily spend goal and publisher cost.
Purpose
The script updates custom parameters for keywords containing “NOLS,” “NOLM,” or “Backorder” in a specific column of a landing page result.
Purpose
The Python script adjusts search bids and bid overrides for keywords in advertising campaigns based on specific performance criteria.
Purpose
Python script to assign campaign dimension values based on strategy/targeting type and campaign tactic.
Purpose
The Python script updates campaign dimension values based on specific patterns found in campaign names.
Purpose
Reduce the daily budget of campaigns by 20% if the GAAP profit from the previous day is less than 0.
Purpose
The Python script assigns a specific campaign strategy and updates related fields when the “CPA Date” matches the current date.
Purpose
The Python script adjusts search bids for advertising campaigns based on specific criteria and conditions.
Purpose The Python script evaluates advertising campaigns and promotes them to a new publisher bidding strategy if they meet specified minimum thresholds for spend and Return on Advertising Spend (ROAS)....
Purpose
The script categorizes Yahoo DSP ad groups into ‘New’, ‘Mature I’, and ‘Mature II’ based on their spending over the previous 7 days.
Purpose
The script adjusts the daily budget of campaigns by increasing it by 20% if the daily spend exceeds 60% of the current daily budget.
Purpose
The script adjusts the “FullFunnel” strategy for marketing campaigns based on specific ratio criteria.
Purpose
The script ensures that the SBA Pause Date remains within one month of the current date to allow the tool to unpause it.
Purpose
Pushes new Strategy Targets at start of month
Purpose
The Python script analyzes campaign data to assign marketing strategies based on performance metrics over specific time periods.
Purpose
The Python script evaluates the pacing of campaigns against their structured budget allocation targets to identify underperformance or satisfactory pacing.
Purpose
Tag AdGroup if CPA performance is abnormally high within Campaign
Purpose
Python script for tagging campaigns as “Brand” or “Non Brand” based on the campaign name.
Purpose
The script transfers yesterday’s cost data from a report to a bulk data format for further processing.
Purpose
The script transfers yesterday’s cost data from a report to a bulk data format for further processing.
Purpose
The script transfers yesterday’s cost data from a report column to a bulk column for further processing.
Purpose
The Python script transfers yesterday’s publication cost data to a new column for further processing or analysis.
Purpose
The script updates a DataFrame by copying the ‘Pub. Cost $’ column to a new ‘Yesterdays Cost’ column.
Purpose
The Python script updates a DataFrame by copying yesterday’s cost data from one column to another for structured budget allocation purposes.
Purpose
Python script to populate the “Campaign Category” column in a DataFrame based on specific rules.
Purpose
The script updates a DataFrame by copying yesterday’s cost from a publication cost column.
Purpose
The Python script processes keyword data to manage and update advertising campaign statuses based on specific criteria.
Purpose Python script that recommends changes to tROAS (target ROAS) and daily budget for Google Ads campaigns based on the performance of non-brand new customer ROAS over the last 30...
Purpose The script ensures that the traffic dimension is consistently aligned across each SBA bucket by setting all campaigns in a bucket to the maximum traffic value found within that...
Purpose
The Python script updates a DataFrame by copying yesterday’s cost data from one column to another.
Purpose
Python script to add dimensions tag based on campaign name.
Purpose
Python script to add a dimensions tag based on the campaign name.
Purpose
Python script to add dimensions tag based on campaign name.
Purpose
Python script to add a dimensions tag based on the campaign name.
Purpose
Python script to add a dimensions tag based on the campaign name.
Purpose
The script adjusts the target Cost Per Acquisition (tCPA) and daily budget of Google campaigns based on Return on Advertising Spend (ROAS) and spend over the previous hours.
Purpose
The script identifies and pauses mature advertising campaigns with low Return on Ad Spend (ROAS) over the past 14 days.
Purpose
The script assigns market identifiers to campaigns based on specific patterns in campaign names.
Purpose
The script adjusts the target cost-per-action (tCPA) for campaigns based on their current cost per conversion, increasing it if the cost is below a specified threshold.
Purpose
The script checks if the “IB Last Updated” date is two or more days old and flags such entries for alerting purposes.
Purpose
The Python script categorizes marketing campaigns as either “Brand” or “Non-Brand” based on specific naming patterns.
Purpose
The script adjusts the target CPA and daily budget of Google campaigns labeled as ‘Mature’ based on their ROAS over the previous 14 days.
Purpose
The Python script categorizes ExplorAds and Yahoo DSP campaigns into maturity levels based on their spending over the past year.
Purpose
The script automates the process of pausing keywords and labeling them with the ‘AutoPause’ dimension based on specific criteria related to creation date, accumulated clicks, and spend.
Purpose
The script automates the process of tagging campaigns as either “Brand” or “Non-Brand” based on the presence of the word “Brand” in the campaign name.
Purpose
The script updates the bidding strategy of new campaigns to Target CPA if they meet specified spend and ROAS thresholds.
Purpose
The script pauses new Google ad campaigns with low Return on Advertising Spend (ROAS) based on predefined criteria.
Purpose
The script increases the daily budget for campaigns with an impression share greater than a specified percentage over the last specified number of days.
Purpose The Python script adjusts the target CPA and daily budget of Google campaigns labeled as ‘New Launch’ through ‘New - Round 5’ based on their ROAS over the past...
Purpose
The script tags campaigns as ‘Brand’ or ‘Non-Brand’ based on the presence of the word ‘Brand’ in the campaign name.
Purpose
The Python script categorizes campaigns into “Brand” or “Non-Brand” based on the presence of the word “Brand” in their names.
Purpose
The script identifies campaigns containing ‘FR’ with a blank maturity status and assigns them a ‘France’ maturity label.
Purpose
Auto Pause After Event Date
Purpose
The Python script assigns marketing campaigns to specific strategies based on campaign name, creation date, and accumulated clicks.
Purpose
The Python script assigns marketing campaigns to specific strategies based on campaign name, creation date, and accumulated clicks.
Purpose
The Python script assigns a marketing strategy to campaigns based on their name, creation date, and accumulated clicks.
Purpose
The Python script assigns marketing campaigns to specific strategies based on campaign name, creation date, and accumulated clicks.
Purpose
The Python script assigns marketing campaigns to specific strategies based on campaign name, creation date, and accumulated clicks.
Purpose
The script assigns marketing campaigns to specific strategies based on campaign name, creation date, and accumulated clicks.
Purpose
The script calculates and applies auction bid boosts for specific groups in marketing campaigns based on various conditions and metrics.
Purpose
The script parses campaign names to extract and assign a tag to each campaign based on a specific naming convention.
Purpose
The script adjusts SBA targets by applying a target factor to the raw target values.
Purpose
Reset Campaign Daily Budget by either 50% or pre-defined amount at start of each month.
Purpose
The Python script tags AdGroups with a dynamic action value based on historical and target ROAS (Return on Advertising Spend) to optimize bid adjustments.
Purpose
Clear Daily Winner and Overspend labels daily
Purpose
Tag AdGroup Dimensions per ROAS/CPA Performance
Purpose
The script enforces monthly budget caps for strategies and campaigns by pausing those that exceed their allocated budgets, using data from Google Sheets.
Purpose The script automates the creation of suggested keywords from a keyword expansion report, focusing on long keywords with six or more tokens and setting them with specific match types...
Purpose
The Python script identifies and tags campaigns with significantly lower Return on Advertising Spend (ROAS) compared to their peers within the same account.
Purpose
The Python script identifies and tags AdGroups with abnormally low ROAS performance within a campaign over a specified lookback period.
Purpose
The script reassigns marketing strategies to campaigns based on their Month-to-Date conversion levels.
Purpose
Tag AdGroup if CPA performance is abnormally high within Campaign 30-lookback excluding recent 3 days
Purpose
The Python script adjusts campaign budgets by increasing them by 5% if their CPA performance is 10% better than the average of their peers within the same account.
Purpose
The Python script adjusts the budget for non-brand advertising campaigns based on their cost-per-acquisition (CPA) performance compared to peer averages.
Purpose
Pause campaigns with no active groups.
Purpose
The Python script identifies and tags AdGroups with a Cost Per Acquisition (CPA) significantly higher than their peers within the same campaign over a 30-day period.
Category Reference Datasource - None
Purpose
The Python script processes and analyzes marketing strategy data to evaluate performance against targets and generate insights for optimization.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds and a lookback period.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds and a lookback period.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds and historical data analysis.
Purpose
The Python script automates the pausing and re-enabling of advertising campaigns based on their monthly budget targets.
Purpose
The Python script manages the pausing and resuming of advertising campaigns based on their monthly budget utilization.
Purpose
The Python script automates the process of allocating and updating daily budgets for advertising campaigns based on recommended values from a data source.
Purpose
The Python script extracts and tags a specific segment from campaign names based on a defined delimiter.
Purpose
The script extracts and tags a numerical identifier from campaign names based on a specific format.
Purpose
The Python script extracts and updates pacing start and end dates from campaign names in a dataset.
Purpose
The Python script dynamically allocates temporary traffic budgets based on recommended daily budgets from input data.
Purpose
The Python script calculates pacing metrics and recommended daily budgets for digital advertising campaigns based on various campaign parameters and goals.
Purpose
The Python script filters and processes campaign data to update daily budget alerts for campaigns with a “Checked” status.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing cycles and specific conditions.
Purpose
The Python script extracts pacing dates and goals from campaign names in a dataset.
Purpose The Python script identifies and tags AdGroups with abnormally high Cost Per Acquisition (CPA) performance within a campaign over a specified lookback period, excluding recent days due to conversion...
Purpose
The Python script tags campaigns based on their performance metrics compared to predefined benchmarks.
Purpose
The Python script identifies duplicate keywords within advertising campaigns and recommends which keywords to pause based on performance metrics.
Purpose
The Python script identifies and recommends pausing keywords that are at least 30 days old, have zero conversions, and a quality score below 5.
Purpose
The script qualifies suggested keywords based on conversion rates, cost-per-acquisition (CPA) thresholds, and token count limits.
Purpose
The Python script assigns a strategy to campaigns that are currently marked as ‘Unassigned’ based on a specific naming pattern.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing and traffic conditions.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds for outlier detection.
Purpose
The script automatically tags PS Clients based on keywords found in campaign names.
Purpose
The Python script identifies and reports weekly anomalies in campaign performance metrics using configurable thresholds and historical data analysis.
Purpose
The Python script identifies and reports weekly anomalies in campaign performance metrics over the last eight weeks, using configurable thresholds for outlier detection.
Purpose
The script automatically tags manufacturer names based on keywords found in campaign names.
Purpose
The Python script calculates the pacing of advertising strategies at the campaign level by comparing month-to-date spending against expected spending based on the total budget and elapsed days.
Purpose
The Python script calculates the adjusted daily budget for advertising strategies at the campaign level based on remaining budget and days left in the month.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds and historical data analysis.
Purpose
The Python script calculates predictive revenue values at the campaign level using gross lead data and program-level revenue and conversion rates.
Purpose
The Python script sets benchmarks for individual campaigns and all campaigns mapped to a strategy to evaluate their performance.
Purpose
The script identifies and tags county codes within campaign names in a DataFrame for further processing.
Purpose
The Python script identifies anomalies in campaign performance by comparing actual metrics against forecasted values using day-of-week forecasts and adjustable thresholds.
Purpose
The Python script adjusts bid ratios for mobile, tablet, and desktop devices based on gross profit-weighted average bids for advertising campaigns.
Purpose
The Python script transfers values from the “Portfolio” column to the “Amazon Portfolio” column in a dataset.
Purpose
The Python script calculates the adjusted daily budget for different strategies based on their remaining budget and the number of days left in the current month.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds for outlier detection.
Purpose
The Python script calculates and manages pacing metrics for digital advertising campaigns, ensuring they meet their budget and impression goals efficiently.
Purpose
The Python script calculates and manages campaign pacing and budget allocation for digital marketing campaigns.
Purpose
The Python script processes and transforms input data related to various digital product transactions, adjusting specific fields based on predefined conditions.
Purpose
The script tags the “Current Organic Average Position” dimension with the previous day’s data from Google Search Console.
Purpose
The script tags the “Current Organic Average Position” dimension with the previous day’s data from Google Search Console.
Purpose
Automatically tags the “Product” dimension based on the product detail page URL of an ad.
Purpose
The Python script identifies outliers in weekly campaign performance metrics using adjustable thresholds and generates a report for the last eight weeks to accommodate conversion lag.
Purpose
The Python script identifies and reports anomalies in weekly campaign metrics using configurable thresholds and historical data analysis.
Purpose
The Python script identifies and reports anomalies in weekly campaign metrics using configurable thresholds for outliers and deviations.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds for outlier detection.
Purpose
The script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds for outlier detection.
Purpose
The Python script identifies and reports anomalies in weekly campaign metrics using configurable thresholds for outlier detection and deviation.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds for outlier detection.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds and historical data analysis.
Purpose
The script identifies and reports anomalies in weekly campaign metrics using configurable thresholds for outlier detection and deviation.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds for outliers and deviations.
Purpose
The Python script automatically tags marketing campaigns with a service dimension based on the campaign name.
Purpose
The Python script tags product types based on campaign names in a DataFrame.
Purpose
The script identifies and tags U.S. states mentioned in campaign names within a dataset.
Purpose
The script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds and historical data analysis.
Purpose
The Python script identifies and reports conversion anomalies at the campaign level using configurable metrics and thresholds.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds for outlier detection.
Purpose
The script ensures that any campaign with a daily budget below $50 is adjusted to meet this minimum threshold.
Purpose
The Python script automates the tagging of media types and subtypes based on specific account and campaign criteria.
Purpose
The Python script automates the tagging of media types and subtypes based on account and campaign information in a dataset.
Purpose
The script enforces a Target CPA Cap of $1000 for all active strategies or campaigns.
Purpose
The Python script identifies and analyzes anomalies in weekly campaign metrics to detect outliers and trends for performance optimization.
Purpose
The Python script clears existing dimension values to ensure only the top 20 keywords are labeled in the next day’s dimension script.
Purpose
The Python script identifies and labels the top-performing keywords from a sorted report based on cost per conversion.
Purpose
The script identifies and tags the top 10 keywords with the highest cost per conversion from a Google Ads report.
Purpose
The Python script identifies and analyzes anomalies in weekly campaign performance metrics over the past eight weeks for Powpow Enterprise Retail.
Purpose
The Python script processes and uploads daily budget data from a primary data source, ensuring unique entries based on specific criteria.
Purpose
The script assigns dimension labels to campaigns based on their naming conventions and campaign types.
Purpose
Automates the process of populating a remarketing dimension based on specific campaign name values in a dataset.
Purpose
Automates the process of populating the brand dimension in a dataset based on specific rules applied to campaign name values.
Purpose
Automates the categorization of campaigns by analyzing campaign names and assigning appropriate categories based on predefined rules.
Purpose
Automates the process of populating device and match type dimensions based on campaign name values in a dataset.
Purpose
Automates the process of determining and populating subregion dimensions based on campaign name values in a dataset.
Purpose
The script assigns the ‘Auto Pause Status’ of ‘traffic’ to new campaigns that are part of a strategy but do not yet have this status applied.
Purpose
The Python script categorizes PPC scores into letter grades ranging from A to D based on predefined score ranges.
Purpose
Automates the process of updating ‘utmgroup’ dimensions based on ad group names by replacing spaces with plus signs.
Purpose
Automates the process of populating utmcampaign and utmmedium dimensions based on campaign name and campaign type values, respectively.
Purpose
The Python script processes and displays the initial rows of a primary data source for further analysis.
Purpose
The script automatically pauses campaigns in a dataset if their associated event dates have passed.
Purpose
The Python script identifies anomalies in campaign performance by analyzing day-of-week forecasts and calculating deviations using adjustable thresholds.
Purpose
The Python script processes keyword data to generate a structured keyword template based on specific group terms.
Purpose
The script parses campaign names to extract and tag seminar details such as format, location, registration target, and seminar code.
Purpose
The Python script analyzes marketing strategy performance by comparing actual results against targets and categorizing deviations for further insights.
Purpose
The Python script parses campaign names to automatically tag hotel-related dimensions, handling special cases for specific account names.
Purpose
The Python script identifies and reports anomalies in campaign performance metrics using day-of-week forecasts and adjustable thresholds.
Purpose
The Python script manages campaign budgets by pausing campaigns when the month-to-date (MTD) spend reaches the monthly budget specified in the strategy.
Purpose
The Python script identifies and reports conversion anomalies at the campaign level by analyzing metrics over a specified period.
Purpose
The script identifies and tags the 10 most underperforming keywords in both “Brand” and “NonBrand” categories based on conversion metrics.
Purpose
The script identifies and tags the top 10 keywords as “Top Performer” based on cost per conversion over the last 60 days for each school program.
Purpose
The Python script identifies and reports conversion anomalies at the campaign level for a dental network, using configurable metrics and thresholds.
Purpose
The Python script processes a DataFrame to extract and categorize information about campaigns, such as studio names, feed categories, and language targets.
Purpose
The Python script processes a DataFrame to extract and replace search phrases from keywords based on a given title, creating a new column with the modified keyword.
Purpose
The Python script extracts a title from the “Group” column using a regex pattern and inserts it into the “Title” column.
Purpose
Automates the process of populating utmcampaign and utmmedium dimensions based on campaign name and campaign type values.
Purpose
The Python script identifies and reports weekly anomalies in campaign performance metrics using configurable thresholds for outlier detection.
Purpose
The Python script calculates and tags campaigns with strategy-level benchmark scores for metrics such as MTD Gross Lead, CPL, CPL Trend, and Interview Rate.
Purpose
The script identifies and reports weekly anomalies in campaign performance metrics using configurable thresholds for outliers and deviations.
Purpose
The Python script filters and processes campaign data to update daily budget alerts for campaigns with a “Checked” status.
Purpose
The script filters and processes campaign data to identify and update daily budget alerts for campaigns marked as “Checked.”
Purpose
The script filters and processes campaign data to identify and update daily budget alerts for campaigns marked as “Checked.”
Purpose
The script filters and processes campaign data to identify and update daily budget alerts for campaigns marked as “Checked.”
Purpose
The script filters and processes campaign data to identify and update daily budget alerts for campaigns marked as “Checked.”
Purpose
The Python script filters and processes campaign data to identify and update daily budget alerts for campaigns marked as “Checked.”
Purpose
The Python script filters and processes campaign data to update daily budget alerts for campaigns with a “Checked” status.
Purpose
The script filters and processes campaign data to identify and update daily budget alerts for campaigns marked as “Checked.”
Purpose
The script filters and processes campaign data to identify and update daily budget alerts for campaigns marked as “Checked.”
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds for outliers and deviations.
Purpose
The Python script identifies and reports weekly anomalies in campaign performance metrics using configurable thresholds for outlier detection.
Purpose
The script alerts when the error rate in revenue processing for a file exceeds a specified threshold.
Purpose
The script filters and processes campaign data to identify and update daily budget alerts for campaigns marked as “Checked.”
Purpose
The Python script identifies advertisements with expired or soon-to-expire application deadlines across various publishers.
Purpose
The Python script tags Meta Ads campaigns at the ad level based on performance metrics, using specific business rules to determine if campaigns are “winning” or “losing.”
Purpose
The Python script tags ad group performance based on specific business rules for reach, traffic, and conversion metrics.
Purpose
The Python script calculates pacing metrics and recommended daily budgets for digital advertising campaigns based on various campaign parameters and goals.
Purpose
The Python script automates the tagging of media types and sub-types for marketing campaigns based on specific account and publisher information.
Purpose
The Python script automates the tagging of media types and sub-types for marketing campaigns based on specific account and publisher information.
Purpose
The Python script automates the tagging of media types and sub-types for marketing campaigns based on specific account and publisher information.
Purpose
The script extracts and assigns a country code from a group name into a designated ‘Country Code’ dimension.
Purpose
The script extracts and categorizes campaign types and game names from campaign names in a dataset.
Purpose
The Python script automates the tagging of media types and sub-types for marketing campaigns based on specific account and publisher information.
Purpose
The Python script tags Marin Dimensions for Meta campaigns based on performance metrics such as CPM and CTR.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics, focusing on conversions.
Purpose
The Python script identifies and reports conversion anomalies at the campaign level using configurable metrics and thresholds.
Purpose
The script identifies and recommends pausing keywords that are at least 30 days old, have zero conversions, and a quality score below 5.
Purpose
The script identifies and tags the 10 most underperforming keywords in both “Brand” and “NonBrand” categories based on conversion metrics.
Purpose
The Python script identifies and reports on campaign performance anomalies by detecting outliers in key metrics using configurable thresholds and generates a weekly report accommodating conversion lag.
Purpose
The Python script aligns the SBA Strategy Name and Targets with those of the Dynamic Allocation Strategy.
Purpose
The script identifies and tags the 10 most underperforming keywords in both “Brand” and “NonBrand” categories based on conversion metrics.
Purpose
The script identifies and tags the 10 most underperforming keywords in both “Brand” and “NonBrand” categories based on conversion metrics.
Purpose
This script identifies and tags the 10 most underperforming keywords within both “Brand” and “NonBrand” categories based on their conversion metrics.
Purpose
The script identifies and tags the 10 most underperforming keywords in both “Brand” and “NonBrand” categories based on conversion metrics.
Purpose
The script identifies and tags AdGroups with abnormally high Cost Per Acquisition (CPA) performance within a campaign over a 30-day lookback period, excluding the most recent day.
Purpose
The script compares the Cost Per Acquisition (CPA) for campaigns between the current quarter and the last week, flagging those with significant deviations.
Purpose
The Python script is designed to clear the ‘AUTOMATION - Outlier’ column in a data table to prepare it for further processing.
Purpose
The Python script is designed to clear the ‘AUTOMATION - Outlier’ column in a data table to reset or prepare it for new data processing.
Purpose
The Python script processes a data source to clear and prepare a specific column for further automation tasks related to outlier detection.
Purpose
The Python script processes a data source to clear and prepare a specific column for further automation tasks related to outlier detection.
Purpose
The script identifies and tags AdGroups with abnormally high Cost Per Acquisition (CPA) performance within a campaign using a 30-day lookback period, excluding the most recent day.
Purpose
The script identifies and tags the top 10 performing keywords based on conversion and cost per conversion metrics over the last 60 days.
Purpose
The Python script evaluates campaign performance by comparing key metrics against benchmarks and assigns performance tags accordingly.
Purpose
The Python script detects anomalies in campaign performance metrics by comparing actual values against forecasted values using statistical methods.
Purpose
The script extracts the country code from a group name by identifying the segment before the first hyphen and assigns it to a ‘Country Code’ dimension.
Purpose
Python script that identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
The script automates the extraction and tagging of the “Country Code” dimension from campaign names for Carburant’s Square Enix, excluding Meta publishers.
Purpose
The Python script processes GEM data to apply a latency curve adjustment for conversion and revenue calculations.
Purpose
The Python script processes GEM data to apply a latency curve adjustment for conversion and revenue metrics.
Purpose
The Python script processes GEM data to apply a latency curve adjustment to conversion and revenue metrics.
Purpose
The script identifies and tags the top 10 keywords as “Top Performer” based on conversion metrics and cost efficiency over the last 60 days.
Purpose
The script identifies and tags the top 10 keywords as “Top Performer” based on conversion metrics over the last 60 days.
Purpose
The script identifies and tags the top 10 performing keywords based on conversion metrics and cost efficiency over the last 60 days.
Purpose
The script identifies and tags AdGroups with abnormally high Cost Per Acquisition (CPA) performance within a campaign over a 30-day lookback period, excluding the most recent 3 days.
Purpose
The script identifies and tags AdGroups with abnormally high Cost Per Acquisition (CPA) performance within a campaign over a 30-day lookback period, excluding the most recent 3 days.
Purpose
Python script that takes the unspent Strategy Spend Target from the previous month and adds it to the current Spend Target.
Purpose
The script extracts and assigns a campaign type from a campaign name based on a specific tag format.
Purpose
The script extracts a project number from a campaign name and assigns it to a specific dimension called ‘Numero de Projet’.
Purpose
The script updates the ‘Campaign CPA This Quarter’ column with the current quarter’s CPA values for each campaign.
Purpose
SBA Campaign Budget Pacing - Minimize Lost IS (Budget)
Purpose
Python script to copy values from the ‘Strategy’ and ‘Strategy Target’ columns to the ‘SBA Strategy’ and ‘SBA Campaign Budget’ columns, respectively.
Purpose
Python script to pause campaigns when the monthly spend reaches the monthly budget stored in the strategy.
Purpose
Tag AdGroup if CPA performance is abnormally high within Campaign 30-lookback excluding recent 3 days
Purpose The Python script identifies and tags AdGroups with abnormally high Cost Per Acquisition (CPA) performance within a campaign using a 30-day lookback period, excluding the most recent 3 days....
Purpose
The Python script identifies and tags AdGroups with abnormally high Cost Per Acquisition (CPA) performance within a campaign over a 30-day lookback period, excluding the most recent day.
Purpose
The script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
This Python script generates a performance anomaly report for pay-per-click marketing campaigns.
Purpose
The Python script automates the process of pausing and resuming advertising campaigns based on their monthly budget and current spending, using dimension tags for monitoring.
Purpose
The script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
The Python script automates the process of pausing and resuming advertising campaigns based on their monthly budget and current spending, using dimension tags for monitoring.
Purpose
The script processes campaign data to extract and categorize geographical, segment, targeting, and platform information from campaign names.
Purpose
The Python script optimizes the allocation of campaign budgets to minimize lost impression share due to budget constraints.
Purpose
The Python script processes campaign data to extract and tag audience and segment information based on predefined keywords.
Purpose
The Python script identifies and tags geographical regions in campaign names based on predefined keywords.
Purpose
The Python script processes campaign data to extract and tag platform and targeting information from campaign names.
Purpose
The Python script extracts and categorizes geo, segment, targeting, and platform information from campaign names in a dataset.
Purpose
The script calculates the total publication cost and its percentage for each ‘SBA Strategy’ and ‘Campaign’ group in a dataset.
Purpose
The Python script extracts keyword match types from campaign names and updates a data frame accordingly.
Purpose
The Python script identifies and tags the intent of marketing campaigns based on specific keywords in their names.
Purpose
The script processes campaign names to extract and assign topics, updating a dataset accordingly.
Purpose
The Python script manages campaign budgets by pausing campaigns when the month-to-date (MTD) spend approaches or exceeds the monthly budget set in a strategy.
Purpose
Python script to pause and resume campaigns based on monthly budget spend.
Purpose
The script extracts and assigns a specific tag from campaign names to a designated column in a dataset.
Purpose
The Python script optimizes the allocation of campaign budgets to minimize lost impression share due to budget constraints.
Purpose
The Python script extracts and categorizes tags from non-brand campaign names based on a specified separator.
Purpose
The Python script calculates and adjusts daily budgets for marketing campaigns based on structured budget allocation and pacing compliance.
Purpose
Python script that allocates budgets to campaigns based on various factors such as remaining budget, weekdays in the month, historical spend, and minimum daily budget.
Purpose
The script identifies campaigns with significant discrepancies between the reported two-year publisher cost and the actual publisher cost over the last two years.
Purpose
The script alerts a Program Manager when the percentage difference in a dataset is 15% or more, either positively or negatively.
Purpose
Campaigns Anomaly
Purpose
This script calculates the percentage difference between the current daily budget and the SBA recommended daily budget for campaigns.
Purpose
Python script to pause ad groups in select model-based new vehicle campaigns if there are 3 or fewer vehicles in stock.
Purpose
The script automatically tags marketing campaigns as either “Brand” or “NonBrand” based on their names.
Purpose
Automating Dimension Tagging with the landing page in the dimension “Landing Page Dim” and the keyword and match type combination in the dimension “Keyword MatchType Dim”.
Purpose
Python script to pause and resume campaigns based on Dimension tags (SBA Strategy and SBA Monthly Budget) by monitoring bi-hourly intraday spend.
Purpose
This Python script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds and historical data analysis.
Purpose
Python script to parse campaign names and add campaign-level Marin Dimensions Tag for Category.
Purpose
Python script to parse campaign names and add campaign-level Marin Dimensions Tag for campaign type.
Purpose
Campaign Performance Anomaly Report with Summary
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of advertising campaigns to different bidding strategies based on their creation date.
Purpose
The script automates the assignment of advertising campaigns to different bidding strategies based on their creation date.
Purpose
The script automates the assignment of advertising campaigns to different bidding strategies based on their creation date.
Purpose
The script automates the assignment of advertising campaigns to different bidding strategies based on their creation date.
Purpose The script automates the assignment of a bidding strategy to campaigns based on their creation date, switching from a “Data Gathering” strategy to a “Performance Bidding” strategy after seven...
Purpose
The script automates the assignment of advertising campaigns to different bidding strategies based on their creation date.
Purpose
The script automates the assignment of advertising campaigns to different bidding strategies based on their creation date.
Purpose
Python script that allocates budgets to campaigns based on various factors such as remaining budget, weekdays in the month, historical spend, and minimum daily budget.
Purpose
The script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
Python script to add a tag to a campaign name based on a specified separator.
Purpose
This Python script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
The script updates the “Keyword Cost/Conv Performance” dimension for keywords whose cost per conversion is 30% greater than their campaign’s cost per conversion.
Purpose
The Python script optimizes campaign budget allocation to minimize lost impression share due to budget constraints by considering historical spend, remaining budget, and other factors.
Purpose
Python script that identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
The script updates the “Campaign 30 Day Cost per Conversion” dimension to support keyword-level anomaly detection for cost per conversion.
Purpose
Pause Poor performing Keywords with 0 Conv. and QS <5
Purpose
The script identifies campaigns where the previous day’s spending was at least 90% of the daily budget and flags them as “Budget Capped” if certain conditions are met.
Purpose
The Python script identifies and tags advertising campaigns that have nearly exhausted their daily budget based on specific criteria.
Purpose
The Python script identifies and tags advertising campaigns that have nearly exhausted their daily budget based on specific criteria.
Purpose
The script identifies campaigns where the previous day’s spending is at least 90% of the daily budget and flags them as “Budget Capped” if certain conditions are met.
Purpose
The Python script identifies and tags advertising campaigns that have nearly exhausted their daily budget based on specific criteria.
Purpose
The Python script identifies and tags advertising campaigns that have nearly exhausted their daily budget based on specific criteria.
Purpose
The Python script identifies and tags advertising campaigns that have nearly exhausted their daily budget based on specific criteria.
Purpose
The Python script identifies and tags advertising campaigns that have nearly exhausted their daily budget based on specific criteria.
Purpose The Python script identifies campaigns where the previous day’s spending is at least 90% of the daily budget and flags them as “Budget Capped” if certain conditions are met....
Purpose The Python script identifies campaigns where the previous day’s spending is at least 90% of the daily budget and flags them as “Budget Capped” if certain conditions are met....
Purpose The Python script identifies campaigns where the previous day’s spending is at least 90% of the daily budget and flags them as “Budget Capped” if certain conditions are met....
Purpose The Python script identifies campaigns where the previous day’s spending is at least 90% of the daily budget and flags them as “Budget Capped” if certain conditions are met....
Purpose The Python script identifies campaigns where the previous day’s spending is at least 90% of the daily budget and flags them as “Budget Capped” if certain conditions are met....
Purpose The Python script identifies campaigns where the previous day’s spending was at least 90% of the daily budget and flags them as “Budget Capped” if certain conditions are met....
Purpose
The Python script identifies campaigns where the previous day’s spending is at least 90% of the daily budget and flags them for budget capping.
Purpose
The script identifies anomalies in campaign performance by comparing actual metrics against forecasted values using statistical methods.
Purpose
Parse Campaign Name and add Campaign-level Marin Dimensions Tag for Placement.
Purpose
Campaign Performance Anomaly Report with Summary
Purpose
The Python script identifies anomalies in campaign performance by comparing actual metrics against day-of-week forecasts using adjustable thresholds for interquartile range (IQR) and deviation.
Purpose
Python script to pause and resume campaigns based on Dimension tags (SBA Strategy and SBA Monthly Budget) by monitoring bi-hourly intraday spend.
Purpose
The Python script automates the process of pausing and resuming advertising campaigns based on their monthly budget and current spending, using dimension tags for monitoring.
Purpose
The script identifies keywords with duplicate MKWID values and prepares them for re-upload with blank custom parameters.
Purpose
The Python script optimizes budget allocation for marketing campaigns to minimize lost impression share due to budget constraints.
Purpose
Auto Tag Campaign with Tipo de Campanha Dimension
Purpose
The Python script identifies anomalies in campaign performance by analyzing day-of-week forecasts and calculating deviations using adjustable thresholds.
Purpose
Automatically tags campaigns with ‘Brand’ or ‘NonBrand’ based on specific keywords in the campaign name.
Purpose
Auto Tag the funnel stage of campaigns based on the campaign name.
Purpose
The Python script generates negative keywords for each account in a dataset to optimize single keyword campaigns.
Purpose
Calculates the difference between SBA allocation and the percentage of total publication cost.
Purpose
The Python script identifies anomalies in campaign performance by comparing actual metrics against forecasted values using day-of-week forecasts and adjustable thresholds.
Purpose
The script calculates the total publication cost and its percentage for each ‘SBA Strategy’ and ‘Campaign’ group in a dataset.
Purpose
The Python script identifies and reports campaign-level outliers in key conversion metrics, such as Total AMU Sign-Ups, by calculating anomalies using adjustable thresholds.
Purpose
The Python script optimizes budget allocation for marketing campaigns to minimize lost impression share due to budget constraints.
Purpose
The script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
Python script that pauses and re-enables campaigns based on their monthly spend and budget.
Purpose
SBA Campaign Budget Pacing - Minimize Lost IS (Budget)
Purpose
The Python script extracts and organizes specific information from campaign names into a structured format for further analysis.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing cycles and specific conditions.
Purpose
The Python script calculates pacing metrics for digital advertising campaigns to ensure they meet their budget and performance goals.
Purpose
The Python script extracts start and end dates from campaign names and updates them in a structured format for further analysis.
Purpose
The Python script extracts and updates pacing start and end dates from campaign names in a dataset.
Purpose
The Python script identifies and reports anomalies in campaign performance metrics by comparing actual data against forecasted values using statistical methods.
Purpose
This Python script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
Remove the dollar sign ($) from the SBA Campaign Budget column in a given input dataframe.
Purpose
The Python script extracts and updates pacing start and end dates from campaign names in a dataset.
Purpose
The Python script extracts and updates pacing start and end dates from campaign names in a dataset.
Purpose
The script extracts and updates pacing start and end dates from campaign names in a dataset.
Purpose
The Python script extracts and updates pacing start and end dates from campaign names in a dataset.
Purpose
Python script to filter and process campaign data based on specific criteria.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing cycles and specific conditions.
Purpose This Python script calculates various metrics and values for a campaign, such as total impressions, total clicks, total views, pacing cycle start and end dates, daily targets, expected spend...
Purpose
The Python script calculates pacing metrics and recommended daily budgets for digital advertising campaigns based on various campaign parameters and goals.
Purpose
Python script to filter and process campaign data based on specific criteria.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing cycles and specific conditions.
Purpose This Python script calculates various metrics and values for a campaign, such as total impressions, total clicks, total views, pacing cycle start and end dates, daily targets, expected spend...
Purpose
The Python script calculates pacing metrics and recommended daily budgets for digital advertising campaigns based on various campaign parameters and goals.
Purpose
Python script to filter and manipulate data from a primary data source based on specific criteria.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing and traffic conditions.
Purpose This Python script calculates various metrics and values for a campaign, such as total impressions, total clicks, total views, pacing cycle start and end dates, daily targets, expected spend...
Purpose
The Python script calculates pacing metrics for digital advertising campaigns to ensure they meet their budget and performance goals.
Purpose
Python script to filter and manipulate data from a primary data source based on specific criteria.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing cycles and specific conditions.
Purpose This Python script calculates various metrics and values for a campaign, such as total impressions, total clicks, total views, pacing cycle start and end dates, daily targets, expected spend...
Purpose
The Python script calculates pacing metrics and recommended daily budgets for digital advertising campaigns based on various campaign parameters and goals.
Purpose
Python script to filter and process campaign data based on specific criteria.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing cycles and specific conditions.
Purpose This Python script calculates various metrics and values for a campaign, such as total impressions, total clicks, total views, pacing cycle start and end dates, daily targets, expected spend...
Purpose
The Python script calculates pacing metrics and recommended daily budgets for digital advertising campaigns based on various campaign parameters and goals.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing cycles and specific criteria.
Purpose
The script calculates and manages pacing metrics for digital advertising campaigns to ensure they meet their budget and performance goals.
Purpose
Python script to filter and process campaign data based on specific criteria.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing cycles and specific conditions.
Purpose This Python script solves the problem of calculating various metrics and values for a campaign, such as total pub cost, total impressions, total clicks, total views, pacing cycle start...
Purpose
The Python script calculates pacing metrics and recommended daily budgets for digital advertising campaigns based on various campaign parameters and goals.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing and traffic conditions.
Purpose
The Python script calculates pacing metrics and recommended daily budgets for digital advertising campaigns based on various campaign parameters and goals.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing cycles and specific conditions.
Purpose
The script pauses advertisements if they have zero conversions after spending $100.
Purpose
Pauses ads that have a CPA of $150+ over the previous 7 days
Purpose
The Python script calculates and manages pacing metrics for digital advertising campaigns to ensure they meet their budget and performance goals.
Purpose
The script automates the assignment of dimension tags to campaigns based on their names.
Purpose
The Python script analyzes campaign-level forecasts to identify profit-maximizing targets and generates a bulk sheet to update these targets for Google Smart Bidding strategies.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing and traffic conditions.
Purpose
The Python script calculates and stores the average cost-per-click (CPC) for the last 28 days in a dimension called “Test.”
Purpose
The script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
Python script that identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
The script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
Python script that identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
The script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
Python script that identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
The script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
This Python script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
Python script that identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
The script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
Python script that identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
The script analyzes campaign-level forecasts to identify profit-maximizing targets and generates a bulk sheet to update these targets for Google Smart Bidding strategies.
Purpose
The Python script automates the process of pausing and resuming advertising campaigns based on their monthly budget and current spending, using dimension tags for monitoring.
Purpose
The Python script optimizes the allocation of campaign budgets to minimize lost impression share due to budget constraints.
Purpose Python script that solves the problem of allocating budgets to campaigns based on various factors such as remaining budget, weekdays in the month, historical spend, and minimum daily budget....
Purpose The Python script identifies anomalies in campaign performance by analyzing day-of-week forecasts and rolling up performance metrics to dimensions such as Product Category and Brand/Generic, using adjustable IQR and...
Purpose
The Python script identifies ad groups within a campaign that have abnormally high Cost Per Acquisition (CPA) performance, tagging them as outliers.
Purpose
The Python script automates the pausing and resuming of advertising campaigns based on monthly budget constraints and dimension tags, monitoring spending bi-hourly.
Purpose
The script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
Campaign Anomaly Detection
Purpose
Python script solves the problem of generating a performance anomaly report for pay-per-click marketing data.
Purpose
The Python script automatically pauses or resumes marketing campaigns based on their month-to-date (MTD) spending relative to a predefined budget cap.
Purpose
The Python script extracts pacing dates and goals from campaign names in a dataset to enhance data analysis.
Purpose
The Python script extracts pacing dates and goals from campaign names in a dataset.
Purpose
The script automatically tags marketing campaigns as “Brand” or “Non-Brand” based on the campaign name, specifically tagging as “Non-Brand” if the name starts with ‘EEE’.
Purpose
The Python script extracts pacing dates and goals from campaign names in a dataset.
Purpose
The Python script automates the tagging of campaign data by combining ‘School’ and ‘Program’ dimensions into a ‘School_Program’ tag and assigns it to the SBA Strategy.
Purpose
Python script that combines the ‘School’ and ‘Program’ columns into a new column called ‘School_Program’ and assigns the created tag to the ‘School_Program’ column.
Purpose
The script parses campaign names to automatically tag them with a program identifier based on a specific naming convention.
Purpose
The script parses campaign names to automatically tag them with a school identifier based on a specific naming convention.
Purpose
The Python script extracts pacing dates and goals from campaign names in a dataset.
Purpose
The Python script extracts pacing dates and goals from campaign names in a dataset.
Purpose
The Python script extracts pacing dates and goals from campaign names in a dataset.
Purpose
Example of what Budget Pacing through script could look like
Purpose
The script parses campaign names to automatically tag them with a region dimension based on specific patterns.
Purpose
The script extracts pacing dates and goals from campaign names in a dataset to populate missing information.
Purpose
The script extracts pacing dates and goals from campaign names in a dataset to populate missing information.
Purpose
The script extracts pacing dates and goals from campaign names in a dataset to populate missing information.
Purpose
This Python script solves the problem of calculating various metrics and values for pacing and budget allocation in a digital advertising campaign.
Purpose
The Python script optimizes daily budget allocation for Search SBA strategies by considering factors like remaining budget, weekdays, historical spend, and campaign activity.
Purpose
The script assigns Meta ABO Budget values at the group level for active Meta Ad sets, removing any previously assigned values at the campaign level.
Purpose
The Python script identifies paused CCT groups with single-word keywords that have been paused within the last five days.
Purpose
The Python script identifies paused CCT groups with single-word keywords that have been paused within the last five days.
Purpose
The Python script identifies and filters paused CCT groups based on a specific date range.
Purpose
The Python script identifies and filters paused CCT groups based on a specific date range.
Purpose
The Python script automates the process of pausing specific groups in a campaign based on keyword and studio conditions.
Purpose
The Python script automates the process of pausing specific groups in a campaign based on keyword and studio conditions.
Purpose
The Python script automates the process of pausing specific groups in a campaign based on keyword and studio conditions.
Purpose
SBA Campaign Budget Pacing - Minimize Lost IS (Budget)
Purpose The Python script identifies and tags AdGroups with abnormally high Cost Per Acquisition (CPA) performance within a campaign using a 30-day lookback period, excluding the most recent 3 days....
Purpose
The Python script monitors campaign spending and recommends pausing campaigns if projected costs exceed the monthly budget.
Purpose
SBA Campaigns Watcher
Purpose
The Python script identifies and filters paused CCT groups based on a specific date range.
Purpose
The Python script identifies paused CCT groups with single-word keywords that have been paused within the last five days.
Purpose
The Python script assigns geographic values to a campaign’s Geo dimension based on specific keywords in the campaign name.
Purpose
The Python script extracts pacing dates and goals from campaign names in a dataset.
Purpose
Pace Daily Budget for each Strategy
Purpose
The script automates the tagging of campaigns as either “Brand” or “Generic” based on specific keywords in account and campaign names.
Purpose
Python script that looks for duplicate campaigns created by Dynamic Campaigns and sets the status to “Deleted” for any older campaigns.
Purpose
The script assigns corrected budget values at the campaign level and labels campaigns using ABO Budgets.
Purpose
The Python script processes campaign data to aggregate and deduplicate information based on specific criteria.
Purpose
The Python script optimizes budget allocation for marketing campaigns to minimize lost impression share due to budget constraints.
Purpose
The Python script identifies campaigns with significant budget overspend or underspend by comparing publication costs to daily budgets.
Purpose
Python script to update campaign information based on specified conditions.
Purpose
The script identifies anomalies in campaign performance metrics for hotels by comparing actual data against forecasts and calculating deviation scores.
Purpose
The Python script extracts and updates pacing start and end dates from campaign names in a dataset.
Purpose
The script extracts and updates pacing start and end dates from campaign names in a dataset.
Purpose
The script extracts and updates pacing start and end dates from campaign names in a dataset.
Purpose
The Python script extracts and updates pacing start and end dates from campaign names in a dataset.
Purpose
The script extracts and updates specific campaign details from campaign names in a dataset.
Purpose
The Python script extracts and updates pacing start and end dates from campaign names in a dataset.
Purpose
The Python script identifies duplicate keywords within the same publisher and account, recommends which keywords to pause based on performance metrics, and sends an email report.
Purpose
The Python script calculates the remaining days for each campaign based on its specified end date.
Purpose
The script updates a historical quality score dimension with the current quality score value for the first of the month.
Purpose
Tag Brand vs Non Brand dimension automatically
Purpose
Parse out and populate Pacing - Start Date and Pacing - End Date in ISO format from the Campaign column of a DataFrame.
Purpose
The Python script assigns dimension values to campaigns based on whether they are categorized as “Brand,” “Local,” or “Emergency.”
Purpose
Python script to detect anomalies in campaign data and generate an anomaly report.
Purpose
The Python script detects anomalies in campaign performance metrics for different campaign types and accounts.
Purpose
Analyze campaign data to identify anomalies and calculate anomaly scores for each product and account.
Purpose
Python script to tag ad groups if their CPA performance is abnormally high within a campaign.
Purpose
The Python script calculates the “Set Rate” for campaigns by aggregating six months of data, excluding the most recent 30 days, to account for latency.
Purpose
Tag AdGroup if CPA performance is abnormally high within Campaign
Purpose The Python script adjusts the daily budget of Bing campaigns by 5% if their ROAS performance exceeds 3.5% and they have a lost impression share due to budget of...
Purpose
The Python script identifies and tags AdGroups with abnormally low Cost/Conversion performance within a campaign over a specified lookback period.
Purpose
Python script to pause and re-enable campaigns based on budget allocation.
Purpose
Python script to auto-push a subset of suggested keywords from a keyword recommendations grid.
Purpose
The Python script processes marketing data to determine and populate the “NTB Uplift” value based on specific business conditions.
Purpose
Set dimensions based on campaign name.
Purpose
The Python script manages campaign statuses by pausing them when the month-to-date (MTD) spend reaches the Epicor Monthly Budget.
Purpose
The script automates the process of setting all active Google Product Groups to Bid Override with no end date.
Purpose
The Python script identifies inactive campaigns based on their publication costs and predicted user visits within a structured budget allocation framework.
Purpose
Python script to tag campaigns based on their performance metrics compared to benchmarks.
Purpose
Python script to tag campaigns based on their performance metrics compared to benchmarks.
Purpose
Python script to tag campaigns based on their performance metrics compared to benchmarks.
Purpose
Python script to tag campaigns based on their performance metrics compared to benchmarks.
Purpose
Python script to tag campaigns based on their performance metrics compared to benchmarks.
Purpose
Python script to tag campaigns based on their performance metrics compared to benchmarks.
Purpose
Python script to tag campaigns based on their performance metrics compared to benchmarks.
Purpose
Python script to tag campaigns based on their performance metrics compared to benchmarks.
Purpose
Tag Dimensions based on CVR, CPL, CPC, CTR, Performance compared to previous 6 months.
Purpose
Tag Dimensions based on CVR, CPL, CPC, CTR Performance compared to previous 6 months.
Purpose
Tag Dimensions based on CVR, CPL, CPC, CTR Performance compared to previous 6 months.
Purpose
Tag Dimensions based on CVR, CPL, CPC, CTR Performance to previous 6 months.
Purpose
Tag Dimensions based on CRV, CPL, CPC, CTR performance compared to previous 6 months.
Purpose
Tag Dimensions based on CVR, CPL, CPC, CTR Performance compared to previous 6 months.
Purpose
The script updates campaign parameters such as status, daily budget, and target CPA for new launch campaigns based on specified ROAS criteria.
Purpose
The Python script automates the updating of campaign statuses, bid strategies, and target CPA values for new launch campaigns based on specific performance metrics.
Purpose
Python script to tag campaigns based on their performance metrics compared to benchmarks.
Purpose
The script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The Python script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The Python script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The Python script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The script adjusts keyword headroom based on historical performance data to optimize advertising budgets.
Purpose
The Python script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The Python script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The Python script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The Python script updates the “Amazon Portfolio” column in a DataFrame to match the “Portfolio” column when they differ or when “Amazon Portfolio” is empty.
Purpose
The Python script updates the status, target CPA, bid strategy, and maturity of new launch campaigns based on specific performance criteria.
Purpose
The Python script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
Python script for media type tagging.
Purpose
The Python script categorizes media campaigns by assigning media types and subtypes based on specific criteria related to publisher names and campaign details.
Purpose
The Python script categorizes media campaigns by assigning media types and subtypes based on specific criteria.
Purpose
Python script for tagging media types and subtypes in a dataset.
Purpose
The Python script categorizes media types and sub-types based on specific keywords found in account and campaign data.
Purpose
The Python script categorizes media types and subtypes based on specific keywords found in account and group names within a dataset.
Purpose
The Python script categorizes media types and sub-types based on specific account and group criteria within a dataset.
Purpose
The Python script automates the tagging of media types and subtypes based on account and campaign information in a dataset.
Purpose
Tag Dimensions based on CVR, CPL, CPC, CTR Performance compared to previous 6 months
Purpose
Python script to tag campaigns based on the comparison between the publisher cost and the daily budget.
Purpose
Tag Dimensions based on CVR, CPL, CPC, and CTR Performance compared to Preset Benchmarks
Purpose
The Python script is designed to clear the “Conversion Influencers” dimension values in a dataset.
Purpose
The script identifies and labels the top 10 keywords based on cost per conversion over the last 60 days, requiring at least one conversion to be considered.
Purpose
The Python script allocates daily budgets for each Epicor Budget Group by considering remaining budgets, weekdays, historical spending, and campaign activity.
Purpose
The Python script processes input data to update specific columns with predefined values for managing backorder keywords in a marketing context.
Purpose
The Python script processes input data to set specific default values for certain columns related to advertising campaigns.
Purpose
The Python script processes input data to update specific columns with predefined values for managing backorder keywords in a marketing context.
Purpose
The Python script processes input data to set specific default values for certain columns related to advertising campaigns.
Purpose
The Python script processes input data to set specific default values for certain columns related to advertising campaigns.
Purpose
The Python script processes input data to update specific columns with predefined values for managing backorder keywords in a marketing context.
Purpose
The Python script processes input data to update specific columns with predefined values for managing backorder keywords in a marketing context.
Purpose
The Python script processes input data to update specific columns with predefined values for structured budget allocation (SBA) purposes.
Purpose
The Python script processes input data to update specific columns with predefined values for structured budget allocation (SBA) purposes.
Purpose
The Python script processes input data to update specific columns with predefined values for structured budget allocation (SBA) purposes.
Purpose
The script updates custom parameters for keywords containing “NOLS,” “NOLM,” or “Backorder” in a specific column of a landing page result.
Purpose
Python script for negative keyword expansion.
Purpose
Python script solves the problem of adjusting the Publisher Target ROAS for Google campaigns based on the daily spend goal and publisher cost.
Purpose
The script updates custom parameters for keywords containing “NOLS,” “NOLM,” or “Backorder” in a specific column of a landing page result.
Purpose
The Python script adjusts search bids and bid overrides for keywords in advertising campaigns based on specific performance criteria.
Purpose
Python script to assign campaign dimension values based on strategy/targeting type and campaign tactic.
Purpose
The Python script updates campaign dimension values based on specific patterns found in campaign names.
Purpose
Reduce the daily budget of campaigns by 20% if the GAAP profit from the previous day is less than 0.
Purpose
The Python script assigns a specific campaign strategy and updates related fields when the “CPA Date” matches the current date.
Purpose
The Python script adjusts search bids for advertising campaigns based on specific criteria and conditions.
Purpose The Python script evaluates advertising campaigns and promotes them to a new publisher bidding strategy if they meet specified minimum thresholds for spend and Return on Advertising Spend (ROAS)....
Purpose
The script categorizes Yahoo DSP ad groups into ‘New’, ‘Mature I’, and ‘Mature II’ based on their spending over the previous 7 days.
Purpose
The script adjusts the daily budget of campaigns by increasing it by 20% if the daily spend exceeds 60% of the current daily budget.
Purpose
The script adjusts the “FullFunnel” strategy for marketing campaigns based on specific ratio criteria.
Purpose
The script ensures that the SBA Pause Date remains within one month of the current date to allow the tool to unpause it.
Purpose
Pushes new Strategy Targets at start of month
Purpose
The Python script analyzes campaign data to assign marketing strategies based on performance metrics over specific time periods.
Purpose
The Python script evaluates the pacing of campaigns against their structured budget allocation targets to identify underperformance or satisfactory pacing.
Purpose
Tag AdGroup if CPA performance is abnormally high within Campaign
Purpose
Python script for tagging campaigns as “Brand” or “Non Brand” based on the campaign name.
Purpose
The script transfers yesterday’s cost data from a report to a bulk data format for further processing.
Purpose
The script transfers yesterday’s cost data from a report to a bulk data format for further processing.
Purpose
The script transfers yesterday’s cost data from a report column to a bulk column for further processing.
Purpose
The Python script transfers yesterday’s publication cost data to a new column for further processing or analysis.
Purpose
The script updates a DataFrame by copying the ‘Pub. Cost $’ column to a new ‘Yesterdays Cost’ column.
Purpose
The Python script updates a DataFrame by copying yesterday’s cost data from one column to another for structured budget allocation purposes.
Purpose
Python script to populate the “Campaign Category” column in a DataFrame based on specific rules.
Purpose
The script updates a DataFrame by copying yesterday’s cost from a publication cost column.
Purpose
The Python script processes keyword data to manage and update advertising campaign statuses based on specific criteria.
Purpose Python script that recommends changes to tROAS (target ROAS) and daily budget for Google Ads campaigns based on the performance of non-brand new customer ROAS over the last 30...
Purpose The script ensures that the traffic dimension is consistently aligned across each SBA bucket by setting all campaigns in a bucket to the maximum traffic value found within that...
Purpose
The Python script updates a DataFrame by copying yesterday’s cost data from one column to another.
Purpose
Python script to add dimensions tag based on campaign name.
Purpose
Python script to add a dimensions tag based on the campaign name.
Purpose
Python script to add dimensions tag based on campaign name.
Purpose
Python script to add a dimensions tag based on the campaign name.
Purpose
Python script to add a dimensions tag based on the campaign name.
Purpose
The script adjusts the target Cost Per Acquisition (tCPA) and daily budget of Google campaigns based on Return on Advertising Spend (ROAS) and spend over the previous hours.
Purpose
The script identifies and pauses mature advertising campaigns with low Return on Ad Spend (ROAS) over the past 14 days.
Purpose
The script assigns market identifiers to campaigns based on specific patterns in campaign names.
Purpose
The script adjusts the target cost-per-action (tCPA) for campaigns based on their current cost per conversion, increasing it if the cost is below a specified threshold.
Purpose
The script checks if the “IB Last Updated” date is two or more days old and flags such entries for alerting purposes.
Purpose
The Python script categorizes marketing campaigns as either “Brand” or “Non-Brand” based on specific naming patterns.
Purpose
The script adjusts the target CPA and daily budget of Google campaigns labeled as ‘Mature’ based on their ROAS over the previous 14 days.
Purpose
The Python script categorizes ExplorAds and Yahoo DSP campaigns into maturity levels based on their spending over the past year.
Purpose
The script automates the process of pausing keywords and labeling them with the ‘AutoPause’ dimension based on specific criteria related to creation date, accumulated clicks, and spend.
Purpose
The script automates the process of tagging campaigns as either “Brand” or “Non-Brand” based on the presence of the word “Brand” in the campaign name.
Purpose
The script updates the bidding strategy of new campaigns to Target CPA if they meet specified spend and ROAS thresholds.
Purpose
The script pauses new Google ad campaigns with low Return on Advertising Spend (ROAS) based on predefined criteria.
Purpose
The script increases the daily budget for campaigns with an impression share greater than a specified percentage over the last specified number of days.
Purpose The Python script adjusts the target CPA and daily budget of Google campaigns labeled as ‘New Launch’ through ‘New - Round 5’ based on their ROAS over the past...
Purpose
The script tags campaigns as ‘Brand’ or ‘Non-Brand’ based on the presence of the word ‘Brand’ in the campaign name.
Purpose
The Python script categorizes campaigns into “Brand” or “Non-Brand” based on the presence of the word “Brand” in their names.
Purpose
The script identifies campaigns containing ‘FR’ with a blank maturity status and assigns them a ‘France’ maturity label.
Purpose
Auto Pause After Event Date
Purpose
The Python script assigns marketing campaigns to specific strategies based on campaign name, creation date, and accumulated clicks.
Purpose
The Python script assigns marketing campaigns to specific strategies based on campaign name, creation date, and accumulated clicks.
Purpose
The Python script assigns a marketing strategy to campaigns based on their name, creation date, and accumulated clicks.
Purpose
The Python script assigns marketing campaigns to specific strategies based on campaign name, creation date, and accumulated clicks.
Purpose
The Python script assigns marketing campaigns to specific strategies based on campaign name, creation date, and accumulated clicks.
Purpose
The script assigns marketing campaigns to specific strategies based on campaign name, creation date, and accumulated clicks.
Purpose
The script calculates and applies auction bid boosts for specific groups in marketing campaigns based on various conditions and metrics.
Purpose
The script parses campaign names to extract and assign a tag to each campaign based on a specific naming convention.
Purpose
The script adjusts SBA targets by applying a target factor to the raw target values.
Purpose
Reset Campaign Daily Budget by either 50% or pre-defined amount at start of each month.
Purpose
The Python script tags AdGroups with a dynamic action value based on historical and target ROAS (Return on Advertising Spend) to optimize bid adjustments.
Purpose
Clear Daily Winner and Overspend labels daily
Purpose
Tag AdGroup Dimensions per ROAS/CPA Performance
Purpose The script automates the creation of suggested keywords from a keyword expansion report, focusing on long keywords with six or more tokens and setting them with specific match types...
Purpose
The Python script identifies and tags campaigns with significantly lower Return on Advertising Spend (ROAS) compared to their peers within the same account.
Purpose
The Python script identifies and tags AdGroups with abnormally low ROAS performance within a campaign over a specified lookback period.
Purpose
The script reassigns marketing strategies to campaigns based on their Month-to-Date conversion levels.
Purpose
Tag AdGroup if CPA performance is abnormally high within Campaign 30-lookback excluding recent 3 days
Purpose
The Python script adjusts campaign budgets by increasing them by 5% if their CPA performance is 10% better than the average of their peers within the same account.
Purpose
The Python script adjusts the budget for non-brand advertising campaigns based on their cost-per-acquisition (CPA) performance compared to peer averages.
Purpose
Pause campaigns with no active groups.
Purpose
The Python script identifies and tags AdGroups with a Cost Per Acquisition (CPA) significantly higher than their peers within the same campaign over a 30-day period.
Category Item Changed - Campaign
Purpose
The Python script automates the pausing and re-enabling of advertising campaigns based on their monthly budget targets.
Purpose
The Python script manages the pausing and resuming of advertising campaigns based on their monthly budget utilization.
Purpose
The Python script automates the process of allocating and updating daily budgets for advertising campaigns based on recommended values from a data source.
Purpose
The Python script extracts and tags a specific segment from campaign names based on a defined delimiter.
Purpose
The script extracts and tags a numerical identifier from campaign names based on a specific format.
Purpose
The Python script extracts and updates pacing start and end dates from campaign names in a dataset.
Purpose
The Python script dynamically allocates temporary traffic budgets based on recommended daily budgets from input data.
Purpose
The Python script calculates pacing metrics and recommended daily budgets for digital advertising campaigns based on various campaign parameters and goals.
Purpose
The Python script filters and processes campaign data to update daily budget alerts for campaigns with a “Checked” status.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing cycles and specific conditions.
Purpose
The Python script extracts pacing dates and goals from campaign names in a dataset.
Purpose
The Python script tags campaigns based on their performance metrics compared to predefined benchmarks.
Purpose
The Python script assigns a strategy to campaigns that are currently marked as ‘Unassigned’ based on a specific naming pattern.
Purpose
The script automates the process of merging campaign budget data from a primary data source with override data from Google Sheets for daily budget allocation.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing and traffic conditions.
Purpose
The script automatically tags PS Clients based on keywords found in campaign names.
Purpose
The script automatically tags manufacturer names based on keywords found in campaign names.
Purpose
The Python script calculates the pacing of advertising strategies at the campaign level by comparing month-to-date spending against expected spending based on the total budget and elapsed days.
Purpose
The Python script calculates the adjusted daily budget for advertising strategies at the campaign level based on remaining budget and days left in the month.
Purpose
The Python script sets benchmarks for individual campaigns and all campaigns mapped to a strategy to evaluate their performance.
Purpose
The script identifies and tags county codes within campaign names in a DataFrame for further processing.
Purpose
The Python script transfers values from the “Portfolio” column to the “Amazon Portfolio” column in a dataset.
Purpose
The Python script calculates and manages pacing metrics for digital advertising campaigns, ensuring they meet their budget and impression goals efficiently.
Purpose
The Python script calculates and manages campaign pacing and budget allocation for digital marketing campaigns.
Purpose
The Python script synchronizes daily budget allocations for marketing campaigns between a primary data source and a Google Sheets reference, ensuring up-to-date budget information.
Purpose
The Python script automatically tags marketing campaigns with a service dimension based on the campaign name.
Purpose
The Python script tags product types based on campaign names in a DataFrame.
Purpose
The script identifies and tags U.S. states mentioned in campaign names within a dataset.
Purpose
The script ensures that any campaign with a daily budget below $50 is adjusted to meet this minimum threshold.
Purpose
The script enforces a Target CPA Cap of $1000 for all active strategies or campaigns.
Purpose
The script assigns dimension labels to campaigns based on their naming conventions and campaign types.
Purpose
Automates the process of populating a remarketing dimension based on specific campaign name values in a dataset.
Purpose
Automates the process of populating the brand dimension in a dataset based on specific rules applied to campaign name values.
Purpose
Automates the categorization of campaigns by analyzing campaign names and assigning appropriate categories based on predefined rules.
Purpose
Automates the process of populating device and match type dimensions based on campaign name values in a dataset.
Purpose
Automates the process of determining and populating subregion dimensions based on campaign name values in a dataset.
Purpose
The script assigns the ‘Auto Pause Status’ of ‘traffic’ to new campaigns that are part of a strategy but do not yet have this status applied.
Purpose
The Python script categorizes PPC scores into letter grades ranging from A to D based on predefined score ranges.
Purpose
Automates the process of populating utmcampaign and utmmedium dimensions based on campaign name and campaign type values, respectively.
Purpose
The Python script processes and displays the initial rows of a primary data source for further analysis.
Purpose
The script parses campaign names to extract and tag seminar details such as format, location, registration target, and seminar code.
Purpose
The Python script automates the process of enabling a campaign override flag when adjusted recommendations exceed predefined caps set in Google Sheets.
Purpose
The Python script parses campaign names to automatically tag hotel-related dimensions, handling special cases for specific account names.
Purpose
The Python script manages campaign budgets by pausing campaigns when the month-to-date (MTD) spend reaches the monthly budget specified in the strategy.
Purpose
The Python script processes a DataFrame to extract and categorize information about campaigns, such as studio names, feed categories, and language targets.
Purpose
The Python script updates benchmark dimensions in Marin by copying benchmarks from a staging Google Sheet, matching them with strategies using the ‘Abbreviation’ column.
Purpose
Automates the process of populating utmcampaign and utmmedium dimensions based on campaign name and campaign type values.
Purpose
The Python script calculates and tags campaigns with strategy-level benchmark scores for metrics such as MTD Gross Lead, CPL, CPL Trend, and Interview Rate.
Purpose
The Python script filters and processes campaign data to update daily budget alerts for campaigns with a “Checked” status.
Purpose
The script filters and processes campaign data to identify and update daily budget alerts for campaigns marked as “Checked.”
Purpose
The script filters and processes campaign data to identify and update daily budget alerts for campaigns marked as “Checked.”
Purpose
The script filters and processes campaign data to identify and update daily budget alerts for campaigns marked as “Checked.”
Purpose
The script filters and processes campaign data to identify and update daily budget alerts for campaigns marked as “Checked.”
Purpose
The Python script filters and processes campaign data to identify and update daily budget alerts for campaigns marked as “Checked.”
Purpose
The Python script filters and processes campaign data to update daily budget alerts for campaigns with a “Checked” status.
Purpose
The script filters and processes campaign data to identify and update daily budget alerts for campaigns marked as “Checked.”
Purpose
The script filters and processes campaign data to identify and update daily budget alerts for campaigns marked as “Checked.”
Purpose
The script filters and processes campaign data to identify and update daily budget alerts for campaigns marked as “Checked.”
Purpose
The Python script calculates pacing metrics and recommended daily budgets for digital advertising campaigns based on various campaign parameters and goals.
Purpose
The Python script automates the tagging of media types and sub-types for marketing campaigns based on specific account and publisher information.
Purpose
The Python script automates the tagging of media types and sub-types for marketing campaigns based on specific account and publisher information.
Purpose
The Python script automates the tagging of media types and sub-types for marketing campaigns based on specific account and publisher information.
Purpose
The script extracts and categorizes campaign types and game names from campaign names in a dataset.
Purpose
The Python script automates the tagging of media types and sub-types for marketing campaigns based on specific account and publisher information.
Purpose
The Python script tags Marin Dimensions for Meta campaigns based on performance metrics such as CPM and CTR.
Purpose
The Python script aligns the SBA Strategy Name and Targets with those of the Dynamic Allocation Strategy.
Purpose
The Python script evaluates campaign performance by comparing key metrics against benchmarks and assigns performance tags accordingly.
Purpose
The script automates the extraction and tagging of the “Country Code” dimension from campaign names for Carburant’s Square Enix, excluding Meta publishers.
Purpose
The script extracts and assigns a campaign type from a campaign name based on a specific tag format.
Purpose
The script extracts a project number from a campaign name and assigns it to a specific dimension called ‘Numero de Projet’.
Purpose
The script updates the ‘Campaign CPA This Quarter’ column with the current quarter’s CPA values for each campaign.
Purpose
SBA Campaign Budget Pacing - Minimize Lost IS (Budget)
Purpose
Python script to copy values from the ‘Strategy’ and ‘Strategy Target’ columns to the ‘SBA Strategy’ and ‘SBA Campaign Budget’ columns, respectively.
Purpose
Python script to pause campaigns when the monthly spend reaches the monthly budget stored in the strategy.
Purpose
The Python script automates the process of pausing and resuming advertising campaigns based on their monthly budget and current spending, using dimension tags for monitoring.
Purpose
The Python script automates the process of tagging campaigns with program manager information using data from Google Sheets.
Purpose
The Python script automates the process of pausing and resuming advertising campaigns based on their monthly budget and current spending, using dimension tags for monitoring.
Purpose
The script processes campaign data to extract and categorize geographical, segment, targeting, and platform information from campaign names.
Purpose
The Python script optimizes the allocation of campaign budgets to minimize lost impression share due to budget constraints.
Purpose
The Python script processes campaign data to extract and tag audience and segment information based on predefined keywords.
Purpose
The Python script identifies and tags geographical regions in campaign names based on predefined keywords.
Purpose
The Python script processes campaign data to extract and tag platform and targeting information from campaign names.
Purpose
The Python script extracts and categorizes geo, segment, targeting, and platform information from campaign names in a dataset.
Purpose
The script calculates the total publication cost and its percentage for each ‘SBA Strategy’ and ‘Campaign’ group in a dataset.
Purpose
The Python script extracts keyword match types from campaign names and updates a data frame accordingly.
Purpose
The Python script identifies and tags the intent of marketing campaigns based on specific keywords in their names.
Purpose
The script processes campaign names to extract and assign topics, updating a dataset accordingly.
Purpose
The Python script manages campaign budgets by pausing campaigns when the month-to-date (MTD) spend approaches or exceeds the monthly budget set in a strategy.
Purpose
Python script to pause and resume campaigns based on monthly budget spend.
Purpose
The script extracts and assigns a specific tag from campaign names to a designated column in a dataset.
Purpose
The Python script optimizes the allocation of campaign budgets to minimize lost impression share due to budget constraints.
Purpose
The Python script extracts and categorizes tags from non-brand campaign names based on a specified separator.
Purpose
The Python script calculates and adjusts daily budgets for marketing campaigns based on structured budget allocation and pacing compliance.
Purpose
Python script that allocates budgets to campaigns based on various factors such as remaining budget, weekdays in the month, historical spend, and minimum daily budget.
Purpose
The script identifies campaigns with significant discrepancies between the reported two-year publisher cost and the actual publisher cost over the last two years.
Purpose
The script alerts a Program Manager when the percentage difference in a dataset is 15% or more, either positively or negatively.
Purpose
This script calculates the percentage difference between the current daily budget and the SBA recommended daily budget for campaigns.
Purpose
The script automatically tags marketing campaigns as either “Brand” or “NonBrand” based on their names.
Purpose
Python script to pause and resume campaigns based on Dimension tags (SBA Strategy and SBA Monthly Budget) by monitoring bi-hourly intraday spend.
Purpose
Python script to parse campaign names and add campaign-level Marin Dimensions Tag for Category.
Purpose
Python script to parse campaign names and add campaign-level Marin Dimensions Tag for campaign type.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of advertising campaigns to different bidding strategies based on their creation date.
Purpose
The script automates the assignment of advertising campaigns to different bidding strategies based on their creation date.
Purpose
The script automates the assignment of advertising campaigns to different bidding strategies based on their creation date.
Purpose
The script automates the assignment of advertising campaigns to different bidding strategies based on their creation date.
Purpose The script automates the assignment of a bidding strategy to campaigns based on their creation date, switching from a “Data Gathering” strategy to a “Performance Bidding” strategy after seven...
Purpose
The script automates the assignment of advertising campaigns to different bidding strategies based on their creation date.
Purpose
The script automates the assignment of advertising campaigns to different bidding strategies based on their creation date.
Purpose
Python script that allocates budgets to campaigns based on various factors such as remaining budget, weekdays in the month, historical spend, and minimum daily budget.
Purpose
Python script to add a tag to a campaign name based on a specified separator.
Purpose
The Python script optimizes campaign budget allocation to minimize lost impression share due to budget constraints by considering historical spend, remaining budget, and other factors.
Purpose
The script updates the “Campaign 30 Day Cost per Conversion” dimension to support keyword-level anomaly detection for cost per conversion.
Purpose
The script identifies campaigns where the previous day’s spending was at least 90% of the daily budget and flags them as “Budget Capped” if certain conditions are met.
Purpose
The Python script identifies and tags advertising campaigns that have nearly exhausted their daily budget based on specific criteria.
Purpose
The Python script identifies and tags advertising campaigns that have nearly exhausted their daily budget based on specific criteria.
Purpose
The script identifies campaigns where the previous day’s spending is at least 90% of the daily budget and flags them as “Budget Capped” if certain conditions are met.
Purpose
The Python script identifies and tags advertising campaigns that have nearly exhausted their daily budget based on specific criteria.
Purpose
The Python script identifies and tags advertising campaigns that have nearly exhausted their daily budget based on specific criteria.
Purpose
The Python script identifies and tags advertising campaigns that have nearly exhausted their daily budget based on specific criteria.
Purpose
The Python script identifies and tags advertising campaigns that have nearly exhausted their daily budget based on specific criteria.
Purpose The Python script identifies campaigns where the previous day’s spending is at least 90% of the daily budget and flags them as “Budget Capped” if certain conditions are met....
Purpose The Python script identifies campaigns where the previous day’s spending is at least 90% of the daily budget and flags them as “Budget Capped” if certain conditions are met....
Purpose The Python script identifies campaigns where the previous day’s spending is at least 90% of the daily budget and flags them as “Budget Capped” if certain conditions are met....
Purpose The Python script identifies campaigns where the previous day’s spending is at least 90% of the daily budget and flags them as “Budget Capped” if certain conditions are met....
Purpose The Python script identifies campaigns where the previous day’s spending is at least 90% of the daily budget and flags them as “Budget Capped” if certain conditions are met....
Purpose The Python script identifies campaigns where the previous day’s spending was at least 90% of the daily budget and flags them as “Budget Capped” if certain conditions are met....
Purpose
The Python script identifies campaigns where the previous day’s spending is at least 90% of the daily budget and flags them for budget capping.
Purpose
Parse Campaign Name and add Campaign-level Marin Dimensions Tag for Placement.
Purpose
Python script to pause and resume campaigns based on Dimension tags (SBA Strategy and SBA Monthly Budget) by monitoring bi-hourly intraday spend.
Purpose
The Python script automates the process of pausing and resuming advertising campaigns based on their monthly budget and current spending, using dimension tags for monitoring.
Purpose
The Python script optimizes budget allocation for marketing campaigns to minimize lost impression share due to budget constraints.
Purpose
Auto Tag Campaign with Tipo de Campanha Dimension
Purpose
Automatically tags campaigns with ‘Brand’ or ‘NonBrand’ based on specific keywords in the campaign name.
Purpose
Auto Tag the funnel stage of campaigns based on the campaign name.
Purpose
Calculates the difference between SBA allocation and the percentage of total publication cost.
Purpose
The script calculates the total publication cost and its percentage for each ‘SBA Strategy’ and ‘Campaign’ group in a dataset.
Purpose
The script automates the process of copying and updating monthly budget allocations from Google Sheets to a structured budget allocation system by matching campaign strategies.
Purpose
The Python script optimizes budget allocation for marketing campaigns to minimize lost impression share due to budget constraints.
Purpose
Python script that pauses and re-enables campaigns based on their monthly spend and budget.
Purpose
SBA Campaign Budget Pacing - Minimize Lost IS (Budget)
Purpose
The Python script extracts and organizes specific information from campaign names into a structured format for further analysis.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing cycles and specific conditions.
Purpose
The Python script calculates pacing metrics for digital advertising campaigns to ensure they meet their budget and performance goals.
Purpose
The Python script extracts start and end dates from campaign names and updates them in a structured format for further analysis.
Purpose
The Python script extracts and updates pacing start and end dates from campaign names in a dataset.
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Remove the dollar sign ($) from the SBA Campaign Budget column in a given input dataframe.
Purpose
The Python script extracts and updates pacing start and end dates from campaign names in a dataset.
Purpose
The Python script extracts and updates pacing start and end dates from campaign names in a dataset.
Purpose
The script extracts and updates pacing start and end dates from campaign names in a dataset.
Purpose
The Python script extracts and updates pacing start and end dates from campaign names in a dataset.
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Python script to filter and process campaign data based on specific criteria.
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The Python script processes campaign data to adjust daily budgets based on pacing cycles and specific conditions.
Purpose This Python script calculates various metrics and values for a campaign, such as total impressions, total clicks, total views, pacing cycle start and end dates, daily targets, expected spend...
Purpose
The Python script calculates pacing metrics and recommended daily budgets for digital advertising campaigns based on various campaign parameters and goals.
Purpose
Python script to filter and process campaign data based on specific criteria.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing cycles and specific conditions.
Purpose This Python script calculates various metrics and values for a campaign, such as total impressions, total clicks, total views, pacing cycle start and end dates, daily targets, expected spend...
Purpose
The Python script calculates pacing metrics and recommended daily budgets for digital advertising campaigns based on various campaign parameters and goals.
Purpose
Python script to filter and manipulate data from a primary data source based on specific criteria.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing and traffic conditions.
Purpose This Python script calculates various metrics and values for a campaign, such as total impressions, total clicks, total views, pacing cycle start and end dates, daily targets, expected spend...
Purpose
The Python script calculates pacing metrics for digital advertising campaigns to ensure they meet their budget and performance goals.
Purpose
Python script to filter and manipulate data from a primary data source based on specific criteria.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing cycles and specific conditions.
Purpose This Python script calculates various metrics and values for a campaign, such as total impressions, total clicks, total views, pacing cycle start and end dates, daily targets, expected spend...
Purpose
The Python script calculates pacing metrics and recommended daily budgets for digital advertising campaigns based on various campaign parameters and goals.
Purpose
Python script to filter and process campaign data based on specific criteria.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing cycles and specific conditions.
Purpose This Python script calculates various metrics and values for a campaign, such as total impressions, total clicks, total views, pacing cycle start and end dates, daily targets, expected spend...
Purpose
The Python script calculates pacing metrics and recommended daily budgets for digital advertising campaigns based on various campaign parameters and goals.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing cycles and specific criteria.
Purpose
The script calculates and manages pacing metrics for digital advertising campaigns to ensure they meet their budget and performance goals.
Purpose
Python script to filter and process campaign data based on specific criteria.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing cycles and specific conditions.
Purpose This Python script solves the problem of calculating various metrics and values for a campaign, such as total pub cost, total impressions, total clicks, total views, pacing cycle start...
Purpose
The Python script calculates pacing metrics and recommended daily budgets for digital advertising campaigns based on various campaign parameters and goals.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing and traffic conditions.
Purpose
The Python script calculates pacing metrics and recommended daily budgets for digital advertising campaigns based on various campaign parameters and goals.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing cycles and specific conditions.
Purpose
The Python script calculates and manages pacing metrics for digital advertising campaigns to ensure they meet their budget and performance goals.
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The script automates the assignment of dimension tags to campaigns based on their names.
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The Python script analyzes campaign-level forecasts to identify profit-maximizing targets and generates a bulk sheet to update these targets for Google Smart Bidding strategies.
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The Python script processes campaign data to adjust daily budgets based on pacing and traffic conditions.
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The Python script calculates and stores the average cost-per-click (CPC) for the last 28 days in a dimension called “Test.”
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The script analyzes campaign-level forecasts to identify profit-maximizing targets and generates a bulk sheet to update these targets for Google Smart Bidding strategies.
Purpose
The Python script automates the process of pausing and resuming advertising campaigns based on their monthly budget and current spending, using dimension tags for monitoring.
Purpose
The Python script optimizes the allocation of campaign budgets to minimize lost impression share due to budget constraints.
Purpose Python script that solves the problem of allocating budgets to campaigns based on various factors such as remaining budget, weekdays in the month, historical spend, and minimum daily budget....
Purpose
The Python script automates the pausing and resuming of advertising campaigns based on monthly budget constraints and dimension tags, monitoring spending bi-hourly.
Purpose
The Python script automatically pauses or resumes marketing campaigns based on their month-to-date (MTD) spending relative to a predefined budget cap.
Purpose
The Python script extracts pacing dates and goals from campaign names in a dataset to enhance data analysis.
Purpose
The Python script extracts pacing dates and goals from campaign names in a dataset.
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The script automatically tags marketing campaigns as “Brand” or “Non-Brand” based on the campaign name, specifically tagging as “Non-Brand” if the name starts with ‘EEE’.
Purpose
The Python script extracts pacing dates and goals from campaign names in a dataset.
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The Python script automates the tagging of campaign data by combining ‘School’ and ‘Program’ dimensions into a ‘School_Program’ tag and assigns it to the SBA Strategy.
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Python script that combines the ‘School’ and ‘Program’ columns into a new column called ‘School_Program’ and assigns the created tag to the ‘School_Program’ column.
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The script parses campaign names to automatically tag them with a program identifier based on a specific naming convention.
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The script parses campaign names to automatically tag them with a school identifier based on a specific naming convention.
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The Python script extracts pacing dates and goals from campaign names in a dataset.
Purpose
The Python script extracts pacing dates and goals from campaign names in a dataset.
Purpose
The Python script extracts pacing dates and goals from campaign names in a dataset.
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Example of what Budget Pacing through script could look like
Purpose
The script parses campaign names to automatically tag them with a region dimension based on specific patterns.
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The script extracts pacing dates and goals from campaign names in a dataset to populate missing information.
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The script extracts pacing dates and goals from campaign names in a dataset to populate missing information.
Purpose
The script extracts pacing dates and goals from campaign names in a dataset to populate missing information.
Purpose
This Python script solves the problem of calculating various metrics and values for pacing and budget allocation in a digital advertising campaign.
Purpose
The Python script optimizes daily budget allocation for Search SBA strategies by considering factors like remaining budget, weekdays, historical spend, and campaign activity.
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SBA Campaign Budget Pacing - Minimize Lost IS (Budget)
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The Python script monitors campaign spending and recommends pausing campaigns if projected costs exceed the monthly budget.
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SBA Campaigns Watcher
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The Python script assigns geographic values to a campaign’s Geo dimension based on specific keywords in the campaign name.
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The Python script extracts pacing dates and goals from campaign names in a dataset.
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Pace Daily Budget for each Strategy
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The script automates the tagging of campaigns as either “Brand” or “Generic” based on specific keywords in account and campaign names.
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Python script that looks for duplicate campaigns created by Dynamic Campaigns and sets the status to “Deleted” for any older campaigns.
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The script assigns corrected budget values at the campaign level and labels campaigns using ABO Budgets.
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The Python script processes campaign data to aggregate and deduplicate information based on specific criteria.
Purpose
The Python script optimizes budget allocation for marketing campaigns to minimize lost impression share due to budget constraints.
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Python script to update campaign information based on specified conditions.
Purpose
The Python script extracts and updates pacing start and end dates from campaign names in a dataset.
Purpose
The script extracts and updates pacing start and end dates from campaign names in a dataset.
Purpose
The script extracts and updates pacing start and end dates from campaign names in a dataset.
Purpose
The Python script extracts and updates pacing start and end dates from campaign names in a dataset.
Purpose
The script extracts and updates specific campaign details from campaign names in a dataset.
Purpose
The Python script extracts and updates pacing start and end dates from campaign names in a dataset.
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The Python script calculates the remaining days for each campaign based on its specified end date.
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Tag Brand vs Non Brand dimension automatically
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Parse out and populate Pacing - Start Date and Pacing - End Date in ISO format from the Campaign column of a DataFrame.
Purpose
The Python script assigns dimension values to campaigns based on whether they are categorized as “Brand,” “Local,” or “Emergency.”
Purpose
The Python script calculates the “Set Rate” for campaigns by aggregating six months of data, excluding the most recent 30 days, to account for latency.
Purpose The Python script adjusts the daily budget of Bing campaigns by 5% if their ROAS performance exceeds 3.5% and they have a lost impression share due to budget of...
Purpose
The Python script automates the process of copying and updating Epicor monthly budgets from Google Sheets to a staging area on the first day of each month.
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Python script to pause and re-enable campaigns based on budget allocation.
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Set dimensions based on campaign name.
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The Python script manages campaign statuses by pausing them when the month-to-date (MTD) spend reaches the Epicor Monthly Budget.
Purpose
Python script to tag campaigns based on their performance metrics compared to benchmarks.
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Python script to tag campaigns based on their performance metrics compared to benchmarks.
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Python script to tag campaigns based on their performance metrics compared to benchmarks.
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Python script to tag campaigns based on their performance metrics compared to benchmarks.
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Python script to tag campaigns based on their performance metrics compared to benchmarks.
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Python script to tag campaigns based on their performance metrics compared to benchmarks.
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Python script to tag campaigns based on their performance metrics compared to benchmarks.
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Python script to tag campaigns based on their performance metrics compared to benchmarks.
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Tag Dimensions based on CVR, CPL, CPC, CTR, Performance compared to previous 6 months.
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Tag Dimensions based on CVR, CPL, CPC, CTR Performance compared to previous 6 months.
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Tag Dimensions based on CVR, CPL, CPC, CTR Performance compared to previous 6 months.
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Tag Dimensions based on CVR, CPL, CPC, CTR Performance to previous 6 months.
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Tag Dimensions based on CRV, CPL, CPC, CTR performance compared to previous 6 months.
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Tag Dimensions based on CVR, CPL, CPC, CTR Performance compared to previous 6 months.
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The script updates campaign parameters such as status, daily budget, and target CPA for new launch campaigns based on specified ROAS criteria.
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The Python script automates the updating of campaign statuses, bid strategies, and target CPA values for new launch campaigns based on specific performance metrics.
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Python script to tag campaigns based on their performance metrics compared to benchmarks.
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The Python script updates the “Amazon Portfolio” column in a DataFrame to match the “Portfolio” column when they differ or when “Amazon Portfolio” is empty.
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The Python script updates the status, target CPA, bid strategy, and maturity of new launch campaigns based on specific performance criteria.
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Python script for media type tagging.
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The Python script categorizes media campaigns by assigning media types and subtypes based on specific criteria related to publisher names and campaign details.
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The Python script categorizes media campaigns by assigning media types and subtypes based on specific criteria.
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Python script for tagging media types and subtypes in a dataset.
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Tag Dimensions based on CVR, CPL, CPC, CTR Performance compared to previous 6 months
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Python script to tag campaigns based on the comparison between the publisher cost and the daily budget.
Purpose
Tag Dimensions based on CVR, CPL, CPC, and CTR Performance compared to Preset Benchmarks
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The Python script allocates daily budgets for each Epicor Budget Group by considering remaining budgets, weekdays, historical spending, and campaign activity.
In a Nutshell
The script automatically pauses PPC campaigns that exceed their monthly budget caps.
Purpose
Python script solves the problem of adjusting the Publisher Target ROAS for Google campaigns based on the daily spend goal and publisher cost.
Purpose
Python script to assign campaign dimension values based on strategy/targeting type and campaign tactic.
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The Python script updates campaign dimension values based on specific patterns found in campaign names.
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Reduce the daily budget of campaigns by 20% if the GAAP profit from the previous day is less than 0.
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The Python script assigns a specific campaign strategy and updates related fields when the “CPA Date” matches the current date.
Purpose The Python script evaluates advertising campaigns and promotes them to a new publisher bidding strategy if they meet specified minimum thresholds for spend and Return on Advertising Spend (ROAS)....
Purpose
The script adjusts the daily budget of campaigns by increasing it by 20% if the daily spend exceeds 60% of the current daily budget.
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The script ensures that the SBA Pause Date remains within one month of the current date to allow the tool to unpause it.
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The Python script analyzes campaign data to assign marketing strategies based on performance metrics over specific time periods.
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The Python script evaluates the pacing of campaigns against their structured budget allocation targets to identify underperformance or satisfactory pacing.
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Python script for tagging campaigns as “Brand” or “Non Brand” based on the campaign name.
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The script transfers yesterday’s cost data from a report to a bulk data format for further processing.
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The script transfers yesterday’s cost data from a report to a bulk data format for further processing.
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The script transfers yesterday’s cost data from a report column to a bulk column for further processing.
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The Python script transfers yesterday’s publication cost data to a new column for further processing or analysis.
Purpose
The script updates a DataFrame by copying the ‘Pub. Cost $’ column to a new ‘Yesterdays Cost’ column.
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The Python script updates a DataFrame by copying yesterday’s cost data from one column to another for structured budget allocation purposes.
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Python script to populate the “Campaign Category” column in a DataFrame based on specific rules.
Purpose
The script updates a DataFrame by copying yesterday’s cost from a publication cost column.
In a Nutshell
The script updates the region information for PPC campaigns based on campaign naming conventions.
Purpose Python script that recommends changes to tROAS (target ROAS) and daily budget for Google Ads campaigns based on the performance of non-brand new customer ROAS over the last 30...
Purpose The script ensures that the traffic dimension is consistently aligned across each SBA bucket by setting all campaigns in a bucket to the maximum traffic value found within that...
Purpose
The Python script updates a DataFrame by copying yesterday’s cost data from one column to another.
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Python script to add dimensions tag based on campaign name.
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Python script to add a dimensions tag based on the campaign name.
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Python script to add dimensions tag based on campaign name.
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Python script to add a dimensions tag based on the campaign name.
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Python script to add a dimensions tag based on the campaign name.
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The script adjusts the target Cost Per Acquisition (tCPA) and daily budget of Google campaigns based on Return on Advertising Spend (ROAS) and spend over the previous hours.
Purpose
The script identifies and pauses mature advertising campaigns with low Return on Ad Spend (ROAS) over the past 14 days.
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The script assigns market identifiers to campaigns based on specific patterns in campaign names.
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The script adjusts the target cost-per-action (tCPA) for campaigns based on their current cost per conversion, increasing it if the cost is below a specified threshold.
Purpose
The Python script categorizes marketing campaigns as either “Brand” or “Non-Brand” based on specific naming patterns.
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The script adjusts the target CPA and daily budget of Google campaigns labeled as ‘Mature’ based on their ROAS over the previous 14 days.
Purpose
The Python script categorizes ExplorAds and Yahoo DSP campaigns into maturity levels based on their spending over the past year.
Purpose
The script automates the process of tagging campaigns as either “Brand” or “Non-Brand” based on the presence of the word “Brand” in the campaign name.
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The script updates the bidding strategy of new campaigns to Target CPA if they meet specified spend and ROAS thresholds.
Purpose
The script pauses new Google ad campaigns with low Return on Advertising Spend (ROAS) based on predefined criteria.
Purpose
The script increases the daily budget for campaigns with an impression share greater than a specified percentage over the last specified number of days.
Purpose The Python script adjusts the target CPA and daily budget of Google campaigns labeled as ‘New Launch’ through ‘New - Round 5’ based on their ROAS over the past...
Purpose
The script tags campaigns as ‘Brand’ or ‘Non-Brand’ based on the presence of the word ‘Brand’ in the campaign name.
Purpose
The Python script categorizes campaigns into “Brand” or “Non-Brand” based on the presence of the word “Brand” in their names.
Purpose
The script identifies campaigns containing ‘FR’ with a blank maturity status and assigns them a ‘France’ maturity label.
Purpose
The Python script assigns marketing campaigns to specific strategies based on campaign name, creation date, and accumulated clicks.
Purpose
The Python script assigns marketing campaigns to specific strategies based on campaign name, creation date, and accumulated clicks.
Purpose
The Python script assigns a marketing strategy to campaigns based on their name, creation date, and accumulated clicks.
Purpose
The Python script assigns marketing campaigns to specific strategies based on campaign name, creation date, and accumulated clicks.
Purpose
The Python script assigns marketing campaigns to specific strategies based on campaign name, creation date, and accumulated clicks.
Purpose
The script assigns marketing campaigns to specific strategies based on campaign name, creation date, and accumulated clicks.
Purpose
The script parses campaign names to extract and assign a tag to each campaign based on a specific naming convention.
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The script adjusts SBA targets by applying a target factor to the raw target values.
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Reset Campaign Daily Budget by either 50% or pre-defined amount at start of each month.
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The script enforces monthly budget caps for strategies and campaigns by pausing those that exceed their allocated budgets, using data from Google Sheets.
Purpose
The Python script identifies and tags campaigns with significantly lower Return on Advertising Spend (ROAS) compared to their peers within the same account.
Purpose
The script reassigns marketing strategies to campaigns based on their Month-to-Date conversion levels.
Purpose
The Python script adjusts campaign budgets by increasing them by 5% if their CPA performance is 10% better than the average of their peers within the same account.
Purpose
The Python script adjusts the budget for non-brand advertising campaigns based on their cost-per-acquisition (CPA) performance compared to peer averages.
Purpose
Pause campaigns with no active groups.
Category Featured
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The Python script ingests media plan spend targets from a Google Sheets document and maps them to strategies for the current month.
Purpose
Python script that takes the unspent Strategy Spend Target from the previous month and adds it to the current Spend Target.
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The script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
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This Python script generates a performance anomaly report for pay-per-click marketing campaigns.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds and historical data analysis.
Purpose
The script analyzes campaign-level forecasts to identify profit-maximizing targets and generates a bulk sheet to update these targets for Google Smart Bidding strategies.
Purpose
The Python script automates the pausing and resuming of advertising campaigns based on monthly budget constraints and dimension tags, monitoring spending bi-hourly.
Purpose
SBA Campaign Budget Pacing - Minimize Lost IS (Budget)
Purpose
The script identifies anomalies in campaign performance metrics for hotels by comparing actual data against forecasts and calculating deviation scores.
In a Nutshell
The script automatically pauses PPC campaigns that exceed their monthly budget caps.
Purpose
The Python script processes keyword data to manage and update advertising campaign statuses based on specific criteria.
Purpose
The script parses campaign names to extract and assign a tag to each campaign based on a specific naming convention.
Purpose
The script enforces monthly budget caps for strategies and campaigns by pausing those that exceed their allocated budgets, using data from Google Sheets.
Purpose The script automates the creation of suggested keywords from a keyword expansion report, focusing on long keywords with six or more tokens and setting them with specific match types...
Purpose
The script reassigns marketing strategies to campaigns based on their Month-to-Date conversion levels.
Purpose
Tag AdGroup if CPA performance is abnormally high within Campaign 30-lookback excluding recent 3 days
Purpose
The Python script adjusts campaign budgets by increasing them by 5% if their CPA performance is 10% better than the average of their peers within the same account.
Category Action Type - Bulk Upload
Purpose
The Python script automates the pausing and re-enabling of advertising campaigns based on their monthly budget targets.
Purpose
The Python script automates the process of allocating and updating daily budgets for advertising campaigns based on recommended values from a data source.
Purpose
The Python script extracts and updates pacing start and end dates from campaign names in a dataset.
Purpose
The Python script dynamically allocates temporary traffic budgets based on recommended daily budgets from input data.
Purpose
The Python script calculates pacing metrics and recommended daily budgets for digital advertising campaigns based on various campaign parameters and goals.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing cycles and specific conditions.
Purpose
The Python script extracts pacing dates and goals from campaign names in a dataset.
Purpose
The Python script assigns a strategy to campaigns that are currently marked as ‘Unassigned’ based on a specific naming pattern.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing and traffic conditions.
Purpose
The script updates monthly budgets for strategies by matching them with concatenated values from a Google Sheet.
Purpose
The script automatically tags manufacturer names based on keywords found in campaign names.
Purpose
The Python script calculates the pacing of advertising strategies at the campaign level by comparing month-to-date spending against expected spending based on the total budget and elapsed days.
Purpose
The Python script calculates the adjusted daily budget for advertising strategies at the campaign level based on remaining budget and days left in the month.
Purpose
The Python script sets benchmarks for individual campaigns and all campaigns mapped to a strategy to evaluate their performance.
Purpose
The script identifies and tags county codes within campaign names in a DataFrame for further processing.
Purpose
The Python script transfers values from the “Portfolio” column to the “Amazon Portfolio” column in a dataset.
Purpose
The Python script automates the process of tagging groups with fund types by matching data from a primary data source with a reference Google Sheets document.
Purpose
The Python script calculates and manages pacing metrics for digital advertising campaigns, ensuring they meet their budget and impression goals efficiently.
Purpose
The Python script calculates and manages campaign pacing and budget allocation for digital marketing campaigns.
Purpose
The script tags the “Current Organic Average Position” dimension with the previous day’s data from Google Search Console.
Purpose
The script tags the “Current Organic Average Position” dimension with the previous day’s data from Google Search Console.
Purpose
Automatically tags the “Product” dimension based on the product detail page URL of an ad.
Purpose
The Python script automatically tags marketing campaigns with a service dimension based on the campaign name.
Purpose
The Python script tags product types based on campaign names in a DataFrame.
Purpose
The script identifies and tags U.S. states mentioned in campaign names within a dataset.
Purpose
The Python script automates the tagging of media types and subtypes based on specific account and campaign criteria.
Purpose
The Python script automates the tagging of media types and subtypes based on account and campaign information in a dataset.
Purpose
The script enforces a Target CPA Cap of $1000 for all active strategies or campaigns.
Purpose
The Python script clears existing dimension values to ensure only the top 20 keywords are labeled in the next day’s dimension script.
Purpose
The Python script identifies and labels the top-performing keywords from a sorted report based on cost per conversion.
Purpose
The script identifies and tags the top 10 keywords with the highest cost per conversion from a Google Ads report.
Purpose
The script assigns dimension labels to campaigns based on their naming conventions and campaign types.
Purpose
Automates the process of populating a remarketing dimension based on specific campaign name values in a dataset.
Purpose
Automates the process of populating the brand dimension in a dataset based on specific rules applied to campaign name values.
Purpose
Automates the categorization of campaigns by analyzing campaign names and assigning appropriate categories based on predefined rules.
Purpose
Automates the process of populating device and match type dimensions based on campaign name values in a dataset.
Purpose
Automates the process of determining and populating subregion dimensions based on campaign name values in a dataset.
Purpose
The Python script categorizes PPC scores into letter grades ranging from A to D based on predefined score ranges.
Purpose
Automates the process of updating ‘utmgroup’ dimensions based on ad group names by replacing spaces with plus signs.
Purpose
Automates the process of populating utmcampaign and utmmedium dimensions based on campaign name and campaign type values, respectively.
Purpose
The Python script processes keyword data to generate a structured keyword template based on specific group terms.
Purpose
The Python script manages campaign budgets by pausing campaigns when the month-to-date (MTD) spend reaches the monthly budget specified in the strategy.
Purpose
The script identifies and tags the 10 most underperforming keywords in both “Brand” and “NonBrand” categories based on conversion metrics.
Purpose
The script identifies and tags the top 10 keywords as “Top Performer” based on cost per conversion over the last 60 days for each school program.
Purpose
The Python script processes a DataFrame to extract and categorize information about campaigns, such as studio names, feed categories, and language targets.
Purpose
The Python script updates benchmark dimensions in Marin by copying benchmarks from a staging Google Sheet, matching them with strategies using the ‘Abbreviation’ column.
Purpose
The Python script processes a DataFrame to extract and replace search phrases from keywords based on a given title, creating a new column with the modified keyword.
Purpose
The Python script extracts a title from the “Group” column using a regex pattern and inserts it into the “Title” column.
Purpose
The Python script calculates and tags campaigns with strategy-level benchmark scores for metrics such as MTD Gross Lead, CPL, CPL Trend, and Interview Rate.
Purpose
The Python script filters and processes campaign data to update daily budget alerts for campaigns with a “Checked” status.
Purpose
The script filters and processes campaign data to identify and update daily budget alerts for campaigns marked as “Checked.”
Purpose
The script filters and processes campaign data to identify and update daily budget alerts for campaigns marked as “Checked.”
Purpose
The script filters and processes campaign data to identify and update daily budget alerts for campaigns marked as “Checked.”
Purpose
The script filters and processes campaign data to identify and update daily budget alerts for campaigns marked as “Checked.”
Purpose
The Python script filters and processes campaign data to identify and update daily budget alerts for campaigns marked as “Checked.”
Purpose
The Python script filters and processes campaign data to update daily budget alerts for campaigns with a “Checked” status.
Purpose
The script filters and processes campaign data to identify and update daily budget alerts for campaigns marked as “Checked.”
Purpose
The script filters and processes campaign data to identify and update daily budget alerts for campaigns marked as “Checked.”
Purpose
The script filters and processes campaign data to identify and update daily budget alerts for campaigns marked as “Checked.”
Purpose
The Python script tags Meta Ads campaigns at the ad level based on performance metrics, using specific business rules to determine if campaigns are “winning” or “losing.”
Purpose
The Python script tags ad group performance based on specific business rules for reach, traffic, and conversion metrics.
Purpose
The Python script automates the tagging of media types and sub-types for marketing campaigns based on specific account and publisher information.
Purpose
The Python script automates the tagging of media types and sub-types for marketing campaigns based on specific account and publisher information.
Purpose
The Python script automates the tagging of media types and sub-types for marketing campaigns based on specific account and publisher information.
Purpose
The script extracts and assigns a country code from a group name into a designated ‘Country Code’ dimension.
Purpose
The script extracts and categorizes campaign types and game names from campaign names in a dataset.
Purpose
The Python script automates the tagging of media types and sub-types for marketing campaigns based on specific account and publisher information.
Purpose
The Python script tags Marin Dimensions for Meta campaigns based on performance metrics such as CPM and CTR.
Purpose
The script identifies and recommends pausing keywords that are at least 30 days old, have zero conversions, and a quality score below 5.
Purpose
The script identifies and tags the 10 most underperforming keywords in both “Brand” and “NonBrand” categories based on conversion metrics.
Purpose
The Python script aligns the SBA Strategy Name and Targets with those of the Dynamic Allocation Strategy.
Purpose
The script identifies and tags the 10 most underperforming keywords in both “Brand” and “NonBrand” categories based on conversion metrics.
Purpose
The script identifies and tags the 10 most underperforming keywords in both “Brand” and “NonBrand” categories based on conversion metrics.
Purpose
This script identifies and tags the 10 most underperforming keywords within both “Brand” and “NonBrand” categories based on their conversion metrics.
Purpose
The script identifies and tags the 10 most underperforming keywords in both “Brand” and “NonBrand” categories based on conversion metrics.
Purpose
The script identifies and tags AdGroups with abnormally high Cost Per Acquisition (CPA) performance within a campaign over a 30-day lookback period, excluding the most recent day.
Purpose
The Python script is designed to clear the ‘AUTOMATION - Outlier’ column in a data table to prepare it for further processing.
Purpose
The Python script is designed to clear the ‘AUTOMATION - Outlier’ column in a data table to reset or prepare it for new data processing.
Purpose
The Python script processes a data source to clear and prepare a specific column for further automation tasks related to outlier detection.
Purpose
The Python script processes a data source to clear and prepare a specific column for further automation tasks related to outlier detection.
Purpose
The script identifies and tags AdGroups with abnormally high Cost Per Acquisition (CPA) performance within a campaign using a 30-day lookback period, excluding the most recent day.
Purpose
The script identifies and tags the top 10 performing keywords based on conversion and cost per conversion metrics over the last 60 days.
Purpose
The Python script evaluates campaign performance by comparing key metrics against benchmarks and assigns performance tags accordingly.
Purpose
The script extracts the country code from a group name by identifying the segment before the first hyphen and assigns it to a ‘Country Code’ dimension.
Purpose
The script automates the extraction and tagging of the “Country Code” dimension from campaign names for Carburant’s Square Enix, excluding Meta publishers.
Purpose
The script identifies and tags the top 10 keywords as “Top Performer” based on conversion metrics and cost efficiency over the last 60 days.
Purpose
The script identifies and tags the top 10 keywords as “Top Performer” based on conversion metrics over the last 60 days.
Purpose
The script identifies and tags the top 10 performing keywords based on conversion metrics and cost efficiency over the last 60 days.
Purpose
The script identifies and tags AdGroups with abnormally high Cost Per Acquisition (CPA) performance within a campaign over a 30-day lookback period, excluding the most recent 3 days.
Purpose
The script identifies and tags AdGroups with abnormally high Cost Per Acquisition (CPA) performance within a campaign over a 30-day lookback period, excluding the most recent 3 days.
Purpose
The script extracts and assigns a campaign type from a campaign name based on a specific tag format.
Purpose
The script extracts a project number from a campaign name and assigns it to a specific dimension called ‘Numero de Projet’.
Purpose
The script updates the ‘Campaign CPA This Quarter’ column with the current quarter’s CPA values for each campaign.
Purpose
The Python script automates the process of updating strategy spend targets by copying program budgets from Google Sheets and aligning them with existing strategies.
Purpose
SBA Campaign Budget Pacing - Minimize Lost IS (Budget)
Purpose
Python script to copy values from the ‘Strategy’ and ‘Strategy Target’ columns to the ‘SBA Strategy’ and ‘SBA Campaign Budget’ columns, respectively.
Purpose The Python script identifies and tags AdGroups with abnormally high Cost Per Acquisition (CPA) performance within a campaign using a 30-day lookback period, excluding the most recent 3 days....
Purpose
The Python script identifies and tags AdGroups with abnormally high Cost Per Acquisition (CPA) performance within a campaign over a 30-day lookback period, excluding the most recent day.
Purpose
The Python script automates the process of tagging campaigns with program manager information using data from Google Sheets.
Purpose
The Python script optimizes the allocation of campaign budgets to minimize lost impression share due to budget constraints.
Purpose
The Python script processes campaign data to extract and tag audience and segment information based on predefined keywords.
Purpose
The Python script extracts and categorizes geo, segment, targeting, and platform information from campaign names in a dataset.
Purpose
The script calculates the total publication cost and its percentage for each ‘SBA Strategy’ and ‘Campaign’ group in a dataset.
Purpose
The Python script extracts keyword match types from campaign names and updates a data frame accordingly.
Purpose
The Python script identifies and tags the intent of marketing campaigns based on specific keywords in their names.
Purpose
The script processes campaign names to extract and assign topics, updating a dataset accordingly.
Purpose
The Python script manages campaign budgets by pausing campaigns when the month-to-date (MTD) spend approaches or exceeds the monthly budget set in a strategy.
Purpose
Python script to pause and resume campaigns based on monthly budget spend.
Purpose
The script extracts and assigns a specific tag from campaign names to a designated column in a dataset.
Purpose
The Python script optimizes the allocation of campaign budgets to minimize lost impression share due to budget constraints.
Purpose
The Python script extracts and categorizes tags from non-brand campaign names based on a specified separator.
Purpose
The Python script calculates and adjusts daily budgets for marketing campaigns based on structured budget allocation and pacing compliance.
Purpose
Python script that allocates budgets to campaigns based on various factors such as remaining budget, weekdays in the month, historical spend, and minimum daily budget.
Purpose
The script identifies campaigns with significant discrepancies between the reported two-year publisher cost and the actual publisher cost over the last two years.
Purpose
The script alerts a Program Manager when the percentage difference in a dataset is 15% or more, either positively or negatively.
Purpose
Python script to pause ad groups in select model-based new vehicle campaigns if there are 3 or fewer vehicles in stock.
Purpose
The script automatically tags marketing campaigns as either “Brand” or “NonBrand” based on their names.
Purpose
Python script to parse campaign names and add campaign-level Marin Dimensions Tag for Category.
Purpose
Python script to parse campaign names and add campaign-level Marin Dimensions Tag for campaign type.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of bidding strategies to campaigns based on their creation date.
Purpose
The script automates the assignment of advertising campaigns to different bidding strategies based on their creation date.
Purpose
The script automates the assignment of advertising campaigns to different bidding strategies based on their creation date.
Purpose
The script automates the assignment of advertising campaigns to different bidding strategies based on their creation date.
Purpose
The script automates the assignment of advertising campaigns to different bidding strategies based on their creation date.
Purpose The script automates the assignment of a bidding strategy to campaigns based on their creation date, switching from a “Data Gathering” strategy to a “Performance Bidding” strategy after seven...
Purpose
The script automates the assignment of advertising campaigns to different bidding strategies based on their creation date.
Purpose
The script automates the assignment of advertising campaigns to different bidding strategies based on their creation date.
Purpose
Python script that allocates budgets to campaigns based on various factors such as remaining budget, weekdays in the month, historical spend, and minimum daily budget.
Purpose
The script updates the “Keyword Cost/Conv Performance” dimension for keywords whose cost per conversion is 30% greater than their campaign’s cost per conversion.
Purpose
The Python script optimizes campaign budget allocation to minimize lost impression share due to budget constraints by considering historical spend, remaining budget, and other factors.
Purpose
The script updates the “Campaign 30 Day Cost per Conversion” dimension to support keyword-level anomaly detection for cost per conversion.
Purpose
Pause Poor performing Keywords with 0 Conv. and QS <5
Purpose
The script identifies campaigns where the previous day’s spending was at least 90% of the daily budget and flags them as “Budget Capped” if certain conditions are met.
Purpose
The Python script identifies and tags advertising campaigns that have nearly exhausted their daily budget based on specific criteria.
Purpose
The Python script identifies and tags advertising campaigns that have nearly exhausted their daily budget based on specific criteria.
Purpose
The script identifies campaigns where the previous day’s spending is at least 90% of the daily budget and flags them as “Budget Capped” if certain conditions are met.
Purpose
The Python script identifies and tags advertising campaigns that have nearly exhausted their daily budget based on specific criteria.
Purpose
The Python script identifies and tags advertising campaigns that have nearly exhausted their daily budget based on specific criteria.
Purpose
The Python script identifies and tags advertising campaigns that have nearly exhausted their daily budget based on specific criteria.
Purpose
The Python script identifies and tags advertising campaigns that have nearly exhausted their daily budget based on specific criteria.
Purpose The Python script identifies campaigns where the previous day’s spending is at least 90% of the daily budget and flags them as “Budget Capped” if certain conditions are met....
Purpose The Python script identifies campaigns where the previous day’s spending is at least 90% of the daily budget and flags them as “Budget Capped” if certain conditions are met....
Purpose The Python script identifies campaigns where the previous day’s spending is at least 90% of the daily budget and flags them as “Budget Capped” if certain conditions are met....
Purpose The Python script identifies campaigns where the previous day’s spending is at least 90% of the daily budget and flags them as “Budget Capped” if certain conditions are met....
Purpose The Python script identifies campaigns where the previous day’s spending is at least 90% of the daily budget and flags them as “Budget Capped” if certain conditions are met....
Purpose The Python script identifies campaigns where the previous day’s spending was at least 90% of the daily budget and flags them as “Budget Capped” if certain conditions are met....
Purpose
The Python script identifies campaigns where the previous day’s spending is at least 90% of the daily budget and flags them for budget capping.
Purpose
Parse Campaign Name and add Campaign-level Marin Dimensions Tag for Placement.
Purpose
The script identifies keywords with duplicate MKWID values and prepares them for re-upload with blank custom parameters.
Purpose
The Python script optimizes budget allocation for marketing campaigns to minimize lost impression share due to budget constraints.
Purpose
Auto Tag Campaign with Tipo de Campanha Dimension
Purpose
Automatically tags campaigns with ‘Brand’ or ‘NonBrand’ based on specific keywords in the campaign name.
Purpose
Auto Tag the funnel stage of campaigns based on the campaign name.
Purpose
Calculates the difference between SBA allocation and the percentage of total publication cost.
Purpose
The script calculates the total publication cost and its percentage for each ‘SBA Strategy’ and ‘Campaign’ group in a dataset.
Purpose
The Python script optimizes budget allocation for marketing campaigns to minimize lost impression share due to budget constraints.
Purpose
SBA Campaign Budget Pacing - Minimize Lost IS (Budget)
Purpose
The Python script extracts and organizes specific information from campaign names into a structured format for further analysis.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing cycles and specific conditions.
Purpose
The Python script calculates pacing metrics for digital advertising campaigns to ensure they meet their budget and performance goals.
Purpose
The Python script extracts start and end dates from campaign names and updates them in a structured format for further analysis.
Purpose
The Python script extracts and updates pacing start and end dates from campaign names in a dataset.
Purpose
Remove the dollar sign ($) from the SBA Campaign Budget column in a given input dataframe.
Purpose
The Python script extracts and updates pacing start and end dates from campaign names in a dataset.
Purpose
The Python script extracts and updates pacing start and end dates from campaign names in a dataset.
Purpose
The script extracts and updates pacing start and end dates from campaign names in a dataset.
Purpose
The Python script extracts and updates pacing start and end dates from campaign names in a dataset.
Purpose
Python script to filter and process campaign data based on specific criteria.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing cycles and specific conditions.
Purpose This Python script calculates various metrics and values for a campaign, such as total impressions, total clicks, total views, pacing cycle start and end dates, daily targets, expected spend...
Purpose
Python script to filter and process campaign data based on specific criteria.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing cycles and specific conditions.
Purpose This Python script calculates various metrics and values for a campaign, such as total impressions, total clicks, total views, pacing cycle start and end dates, daily targets, expected spend...
Purpose
The Python script calculates pacing metrics and recommended daily budgets for digital advertising campaigns based on various campaign parameters and goals.
Purpose
Python script to filter and manipulate data from a primary data source based on specific criteria.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing and traffic conditions.
Purpose This Python script calculates various metrics and values for a campaign, such as total impressions, total clicks, total views, pacing cycle start and end dates, daily targets, expected spend...
Purpose
The Python script calculates pacing metrics for digital advertising campaigns to ensure they meet their budget and performance goals.
Purpose
Python script to filter and manipulate data from a primary data source based on specific criteria.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing cycles and specific conditions.
Purpose This Python script calculates various metrics and values for a campaign, such as total impressions, total clicks, total views, pacing cycle start and end dates, daily targets, expected spend...
Purpose
The Python script calculates pacing metrics and recommended daily budgets for digital advertising campaigns based on various campaign parameters and goals.
Purpose
Python script to filter and process campaign data based on specific criteria.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing cycles and specific conditions.
Purpose This Python script calculates various metrics and values for a campaign, such as total impressions, total clicks, total views, pacing cycle start and end dates, daily targets, expected spend...
Purpose
The Python script calculates pacing metrics and recommended daily budgets for digital advertising campaigns based on various campaign parameters and goals.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing cycles and specific criteria.
Purpose
The script calculates and manages pacing metrics for digital advertising campaigns to ensure they meet their budget and performance goals.
Purpose
Python script to filter and process campaign data based on specific criteria.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing cycles and specific conditions.
Purpose This Python script solves the problem of calculating various metrics and values for a campaign, such as total pub cost, total impressions, total clicks, total views, pacing cycle start...
Purpose
The Python script calculates pacing metrics and recommended daily budgets for digital advertising campaigns based on various campaign parameters and goals.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing and traffic conditions.
Purpose
The Python script calculates pacing metrics and recommended daily budgets for digital advertising campaigns based on various campaign parameters and goals.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing cycles and specific conditions.
Purpose
The Python script calculates and manages pacing metrics for digital advertising campaigns to ensure they meet their budget and performance goals.
Purpose
The Python script processes campaign data to adjust daily budgets based on pacing and traffic conditions.
Purpose
The Python script calculates and stores the average cost-per-click (CPC) for the last 28 days in a dimension called “Test.”
Purpose
The Python script automates the pausing and resuming of advertising campaigns based on monthly budget constraints and dimension tags, monitoring spending bi-hourly.
Purpose
The Python script automatically pauses or resumes marketing campaigns based on their month-to-date (MTD) spending relative to a predefined budget cap.
Purpose
The Python script extracts pacing dates and goals from campaign names in a dataset to enhance data analysis.
Purpose
The Python script extracts pacing dates and goals from campaign names in a dataset.
Purpose
The script automatically tags marketing campaigns as “Brand” or “Non-Brand” based on the campaign name, specifically tagging as “Non-Brand” if the name starts with ‘EEE’.
Purpose
The Python script extracts pacing dates and goals from campaign names in a dataset.
Purpose
The Python script automates the tagging of campaign data by combining ‘School’ and ‘Program’ dimensions into a ‘School_Program’ tag and assigns it to the SBA Strategy.
Purpose
Python script that combines the ‘School’ and ‘Program’ columns into a new column called ‘School_Program’ and assigns the created tag to the ‘School_Program’ column.
Purpose
The script parses campaign names to automatically tag them with a program identifier based on a specific naming convention.
Purpose
The script parses campaign names to automatically tag them with a school identifier based on a specific naming convention.
Purpose
The Python script extracts pacing dates and goals from campaign names in a dataset.
Purpose
The Python script extracts pacing dates and goals from campaign names in a dataset.
Purpose
The Python script extracts pacing dates and goals from campaign names in a dataset.
Purpose
The script extracts pacing dates and goals from campaign names in a dataset to populate missing information.
Purpose
The script extracts pacing dates and goals from campaign names in a dataset to populate missing information.
Purpose
The script extracts pacing dates and goals from campaign names in a dataset to populate missing information.
Purpose
The Python script optimizes daily budget allocation for Search SBA strategies by considering factors like remaining budget, weekdays, historical spend, and campaign activity.
Purpose
The script assigns Meta ABO Budget values at the group level for active Meta Ad sets, removing any previously assigned values at the campaign level.
Purpose
The Python script automates the process of pausing specific groups in a campaign based on keyword and studio conditions.
Purpose
The Python script automates the process of pausing specific groups in a campaign based on keyword and studio conditions.
Purpose
The Python script automates the process of pausing specific groups in a campaign based on keyword and studio conditions.
Purpose
SBA Campaign Budget Pacing - Minimize Lost IS (Budget)
Purpose
The Python script assigns geographic values to a campaign’s Geo dimension based on specific keywords in the campaign name.
Purpose
The Python script extracts pacing dates and goals from campaign names in a dataset.
Purpose
Pace Daily Budget for each Strategy
Purpose
The script automates the tagging of campaigns as either “Brand” or “Generic” based on specific keywords in account and campaign names.
Purpose
Python script that looks for duplicate campaigns created by Dynamic Campaigns and sets the status to “Deleted” for any older campaigns.
Purpose
The script assigns corrected budget values at the campaign level and labels campaigns using ABO Budgets.
Purpose
The Python script optimizes budget allocation for marketing campaigns to minimize lost impression share due to budget constraints.
Purpose
The Python script extracts and updates pacing start and end dates from campaign names in a dataset.
Purpose
The script extracts and updates pacing start and end dates from campaign names in a dataset.
Purpose
The script extracts and updates pacing start and end dates from campaign names in a dataset.
Purpose
The Python script extracts and updates pacing start and end dates from campaign names in a dataset.
Purpose
The Python script extracts and updates pacing start and end dates from campaign names in a dataset.
Purpose
The script updates a historical quality score dimension with the current quality score value for the first of the month.
Purpose
Tag Brand vs Non Brand dimension automatically
Purpose
The Python script assigns dimension values to campaigns based on whether they are categorized as “Brand,” “Local,” or “Emergency.”
Purpose
Python script to tag ad groups if their CPA performance is abnormally high within a campaign.
Purpose
The Python script calculates the “Set Rate” for campaigns by aggregating six months of data, excluding the most recent 30 days, to account for latency.
Purpose The Python script adjusts the daily budget of Bing campaigns by 5% if their ROAS performance exceeds 3.5% and they have a lost impression share due to budget of...
Purpose
The Python script automates the process of copying and updating Epicor monthly budgets from Google Sheets to a staging area on the first day of each month.
Purpose
The Python script identifies and tags AdGroups with abnormally low Cost/Conversion performance within a campaign over a specified lookback period.
Purpose
The script processes and merges data from two sources to generate a structured output for offline import.
Purpose
The Python script processes and merges data from two sources to generate a structured dataset for advertising campaigns, ensuring URLs are correctly formatted and populated.
Purpose
The Python script processes and merges data from two sources to prepare a structured dataset for offline import, ensuring URLs are correctly assigned based on specific conditions.
Purpose
The Python script processes and merges data from two sources to format email campaign information for Memira DK.
Purpose
The Python script processes marketing data to determine and populate the “NTB Uplift” value based on specific business conditions.
Purpose
Set dimensions based on campaign name.
Purpose
The Python script manages campaign statuses by pausing them when the month-to-date (MTD) spend reaches the Epicor Monthly Budget.
Purpose
Python script to tag campaigns based on their performance metrics compared to benchmarks.
Purpose
Python script to tag campaigns based on their performance metrics compared to benchmarks.
Purpose
Python script to tag campaigns based on their performance metrics compared to benchmarks.
Purpose
Python script to tag campaigns based on their performance metrics compared to benchmarks.
Purpose
Python script to tag campaigns based on their performance metrics compared to benchmarks.
Purpose
Python script to tag campaigns based on their performance metrics compared to benchmarks.
Purpose
Python script to tag campaigns based on their performance metrics compared to benchmarks.
Purpose
Python script to tag campaigns based on their performance metrics compared to benchmarks.
Purpose
Tag Dimensions based on CVR, CPL, CPC, CTR, Performance compared to previous 6 months.
Purpose
Tag Dimensions based on CVR, CPL, CPC, CTR Performance compared to previous 6 months.
Purpose
Tag Dimensions based on CVR, CPL, CPC, CTR Performance compared to previous 6 months.
Purpose
Tag Dimensions based on CVR, CPL, CPC, CTR Performance to previous 6 months.
Purpose
Tag Dimensions based on CRV, CPL, CPC, CTR performance compared to previous 6 months.
Purpose
Tag Dimensions based on CVR, CPL, CPC, CTR Performance compared to previous 6 months.
Purpose
The Python script processes and merges data from two sources to generate a structured dataset for advertising campaigns, ensuring URLs are correctly formatted and assigned.
Purpose
Python script to tag campaigns based on their performance metrics compared to benchmarks.
Purpose
The script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The Python script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The Python script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The Python script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The script adjusts keyword headroom based on historical performance data to optimize advertising budgets.
Purpose
The Python script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The Python script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The Python script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The Python script updates the “Amazon Portfolio” column in a DataFrame to match the “Portfolio” column when they differ or when “Amazon Portfolio” is empty.
Purpose
The Python script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The Python script processes and merges data from two sources to update and format URLs based on specific conditions for Memira SE’s email import.
Purpose
Python script for media type tagging.
Purpose
The Python script categorizes media campaigns by assigning media types and subtypes based on specific criteria related to publisher names and campaign details.
Purpose
The Python script categorizes media campaigns by assigning media types and subtypes based on specific criteria.
Purpose
Python script for tagging media types and subtypes in a dataset.
Purpose
The Python script categorizes media types and sub-types based on specific keywords found in account and campaign data.
Purpose
The Python script categorizes media types and subtypes based on specific keywords found in account and group names within a dataset.
Purpose
The Python script categorizes media types and sub-types based on specific account and group criteria within a dataset.
Purpose
The Python script automates the tagging of media types and subtypes based on account and campaign information in a dataset.
Purpose
Tag Dimensions based on CVR, CPL, CPC, CTR Performance compared to previous 6 months
Purpose
Python script to tag campaigns based on the comparison between the publisher cost and the daily budget.
Purpose
Tag Dimensions based on CVR, CPL, CPC, and CTR Performance compared to Preset Benchmarks
Purpose
The Python script is designed to clear the “Conversion Influencers” dimension values in a dataset.
Purpose
The script identifies and labels the top 10 keywords based on cost per conversion over the last 60 days, requiring at least one conversion to be considered.
Purpose
The Python script allocates daily budgets for each Epicor Budget Group by considering remaining budgets, weekdays, historical spending, and campaign activity.
Purpose
The Python script processes input data to update specific columns with predefined values for managing backorder keywords in a marketing context.
Purpose
The Python script processes input data to set specific default values for certain columns related to advertising campaigns.
Purpose
The Python script processes input data to update specific columns with predefined values for managing backorder keywords in a marketing context.
Purpose
The Python script processes input data to set specific default values for certain columns related to advertising campaigns.
Purpose
The Python script processes input data to set specific default values for certain columns related to advertising campaigns.
Purpose
The Python script processes input data to update specific columns with predefined values for managing backorder keywords in a marketing context.
Purpose
The Python script processes input data to update specific columns with predefined values for managing backorder keywords in a marketing context.
Purpose
The Python script processes input data to update specific columns with predefined values for structured budget allocation (SBA) purposes.
Purpose
The Python script processes input data to update specific columns with predefined values for structured budget allocation (SBA) purposes.
Purpose
The Python script processes input data to update specific columns with predefined values for structured budget allocation (SBA) purposes.
Purpose
The script updates custom parameters for keywords containing “NOLS,” “NOLM,” or “Backorder” in a specific column of a landing page result.
Purpose
The script updates custom parameters for keywords containing “NOLS,” “NOLM,” or “Backorder” in a specific column of a landing page result.
Purpose
Python script to assign campaign dimension values based on strategy/targeting type and campaign tactic.
Purpose
The Python script adjusts search bids for advertising campaigns based on specific criteria and conditions.
Purpose
The script adjusts the “FullFunnel” strategy for marketing campaigns based on specific ratio criteria.
Purpose
The script ensures that the SBA Pause Date remains within one month of the current date to allow the tool to unpause it.
Purpose
The Python script evaluates the pacing of campaigns against their structured budget allocation targets to identify underperformance or satisfactory pacing.
Purpose
Python script for tagging campaigns as “Brand” or “Non Brand” based on the campaign name.
Purpose
The script transfers yesterday’s cost data from a report to a bulk data format for further processing.
Purpose
The script transfers yesterday’s cost data from a report to a bulk data format for further processing.
Purpose
The script transfers yesterday’s cost data from a report column to a bulk column for further processing.
Purpose
The Python script transfers yesterday’s publication cost data to a new column for further processing or analysis.
Purpose
The script updates a DataFrame by copying the ‘Pub. Cost $’ column to a new ‘Yesterdays Cost’ column.
Purpose
The Python script updates a DataFrame by copying yesterday’s cost data from one column to another for structured budget allocation purposes.
Purpose
Python script to populate the “Campaign Category” column in a DataFrame based on specific rules.
Purpose
The script updates a DataFrame by copying yesterday’s cost from a publication cost column.
In a Nutshell
The script updates the region information for PPC campaigns based on campaign naming conventions.
In a Nutshell
The script processes PPC campaign data to update event names based on specific patterns in group names.
Purpose Python script that recommends changes to tROAS (target ROAS) and daily budget for Google Ads campaigns based on the performance of non-brand new customer ROAS over the last 30...
Purpose The script ensures that the traffic dimension is consistently aligned across each SBA bucket by setting all campaigns in a bucket to the maximum traffic value found within that...
Purpose
The Python script updates a DataFrame by copying yesterday’s cost data from one column to another.
Purpose
Python script to add dimensions tag based on campaign name.
Purpose
Python script to add a dimensions tag based on the campaign name.
Purpose
Python script to add a dimensions tag based on the campaign name.
Purpose
The script assigns market identifiers to campaigns based on specific patterns in campaign names.
Purpose
The script checks if the “IB Last Updated” date is two or more days old and flags such entries for alerting purposes.
Purpose
The Python script categorizes marketing campaigns as either “Brand” or “Non-Brand” based on specific naming patterns.
Purpose
The script automates the process of tagging campaigns as either “Brand” or “Non-Brand” based on the presence of the word “Brand” in the campaign name.
Purpose
The script tags campaigns as ‘Brand’ or ‘Non-Brand’ based on the presence of the word ‘Brand’ in the campaign name.
Purpose
Auto Pause After Event Date
Purpose
The Python script assigns marketing campaigns to specific strategies based on campaign name, creation date, and accumulated clicks.
Purpose
The Python script assigns marketing campaigns to specific strategies based on campaign name, creation date, and accumulated clicks.
Purpose
The Python script assigns a marketing strategy to campaigns based on their name, creation date, and accumulated clicks.
Purpose
The Python script assigns marketing campaigns to specific strategies based on campaign name, creation date, and accumulated clicks.
Purpose
The Python script assigns marketing campaigns to specific strategies based on campaign name, creation date, and accumulated clicks.
Purpose
The script assigns marketing campaigns to specific strategies based on campaign name, creation date, and accumulated clicks.
Purpose
The script calculates and applies auction bid boosts for specific groups in marketing campaigns based on various conditions and metrics.
Purpose
The script adjusts SBA targets by applying a target factor to the raw target values.
Purpose
Reset Campaign Daily Budget by either 50% or pre-defined amount at start of each month.
Purpose
The Python script tags AdGroups with a dynamic action value based on historical and target ROAS (Return on Advertising Spend) to optimize bid adjustments.
Purpose
Clear Daily Winner and Overspend labels daily
Purpose
Tag AdGroup Dimensions per ROAS/CPA Performance
Purpose
The Python script identifies and tags AdGroups with abnormally low ROAS performance within a campaign over a specified lookback period.
Category Item Changed - Keyword
Purpose
The Python script identifies and recommends pausing keywords that are at least 30 days old, have zero conversions, and a quality score below 5.
Purpose
The script qualifies suggested keywords based on conversion rates, cost-per-acquisition (CPA) thresholds, and token count limits.
Purpose
The script tags the “Current Organic Average Position” dimension with the previous day’s data from Google Search Console.
Purpose
The script tags the “Current Organic Average Position” dimension with the previous day’s data from Google Search Console.
Purpose
The Python script clears existing dimension values to ensure only the top 20 keywords are labeled in the next day’s dimension script.
Purpose
The Python script identifies and labels the top-performing keywords from a sorted report based on cost per conversion.
Purpose
The script identifies and tags the top 10 keywords with the highest cost per conversion from a Google Ads report.
Purpose
The Python script processes keyword data to generate a structured keyword template based on specific group terms.
Purpose
The script identifies and tags the 10 most underperforming keywords in both “Brand” and “NonBrand” categories based on conversion metrics.
Purpose
The script identifies and tags the top 10 keywords as “Top Performer” based on cost per conversion over the last 60 days for each school program.
Purpose
The Python script processes a DataFrame to extract and replace search phrases from keywords based on a given title, creating a new column with the modified keyword.
Purpose
The script identifies conflicting keywords between current and negative keywords in an account.
Purpose
The script identifies and recommends pausing keywords that are at least 30 days old, have zero conversions, and a quality score below 5.
Purpose
The script identifies and tags the 10 most underperforming keywords in both “Brand” and “NonBrand” categories based on conversion metrics.
Purpose
The script identifies and tags the 10 most underperforming keywords in both “Brand” and “NonBrand” categories based on conversion metrics.
Purpose
The script identifies and tags the 10 most underperforming keywords in both “Brand” and “NonBrand” categories based on conversion metrics.
Purpose
This script identifies and tags the 10 most underperforming keywords within both “Brand” and “NonBrand” categories based on their conversion metrics.
Purpose
The script identifies and tags the 10 most underperforming keywords in both “Brand” and “NonBrand” categories based on conversion metrics.
Purpose
The script identifies and tags the top 10 performing keywords based on conversion and cost per conversion metrics over the last 60 days.
Purpose
The script identifies and tags the top 10 keywords as “Top Performer” based on conversion metrics and cost efficiency over the last 60 days.
Purpose
The script identifies and tags the top 10 keywords as “Top Performer” based on conversion metrics over the last 60 days.
Purpose
The script identifies and tags the top 10 performing keywords based on conversion metrics and cost efficiency over the last 60 days.
Purpose
Automating Dimension Tagging with the landing page in the dimension “Landing Page Dim” and the keyword and match type combination in the dimension “Keyword MatchType Dim”.
Purpose
The script updates the “Keyword Cost/Conv Performance” dimension for keywords whose cost per conversion is 30% greater than their campaign’s cost per conversion.
Purpose
Pause Poor performing Keywords with 0 Conv. and QS <5
Purpose
The script identifies keywords with duplicate MKWID values and prepares them for re-upload with blank custom parameters.
Purpose
The Python script generates negative keywords for each account in a dataset to optimize single keyword campaigns.
Purpose
The script updates a historical quality score dimension with the current quality score value for the first of the month.
Purpose
Python script to auto-push a subset of suggested keywords from a keyword recommendations grid.
Purpose
The Python script processes marketing data to determine and populate the “NTB Uplift” value based on specific business conditions.
Purpose
The script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The Python script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The Python script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The Python script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The script adjusts keyword headroom based on historical performance data to optimize advertising budgets.
Purpose
The Python script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The Python script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The Python script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The Python script adjusts keyword headroom based on historical performance data to optimize budget allocation.
Purpose
The Python script is designed to clear the “Conversion Influencers” dimension values in a dataset.
Purpose
The script identifies and labels the top 10 keywords based on cost per conversion over the last 60 days, requiring at least one conversion to be considered.
Purpose
Python script for negative keyword expansion.
Purpose
The Python script adjusts search bids and bid overrides for keywords in advertising campaigns based on specific performance criteria.
Purpose
The Python script adjusts search bids for advertising campaigns based on specific criteria and conditions.
Purpose
The script adjusts the “FullFunnel” strategy for marketing campaigns based on specific ratio criteria.
Purpose
The Python script processes keyword data to manage and update advertising campaign statuses based on specific criteria.
Purpose
The script automates the process of pausing keywords and labeling them with the ‘AutoPause’ dimension based on specific criteria related to creation date, accumulated clicks, and spend.
Purpose The script automates the creation of suggested keywords from a keyword expansion report, focusing on long keywords with six or more tokens and setting them with specific match types...
Category Reference Datasource - Google Sheets
Purpose
The Python script processes offline booking data by copying it from a primary data source to an output data frame, allowing for custom output columns.
Purpose
The script automates the process of merging campaign budget data from a primary data source with override data from Google Sheets for daily budget allocation.
Purpose
The Python script processes and exports account data from a primary data source without modifications.
Purpose
The script updates monthly budgets for strategies by matching them with concatenated values from a Google Sheet.
Purpose
The script updates monthly budget targets for strategies by matching them with concatenated values from a Google Sheet.
Purpose
The Python script automates the process of tagging groups with fund types by matching data from a primary data source with a reference Google Sheets document.
Purpose
The Python script tags groups with a FUND dimension based on abbreviations found in group names.
Purpose
The Python script synchronizes daily budget allocations for marketing campaigns between a primary data source and a Google Sheets reference, ensuring up-to-date budget information.
Purpose
The script processes and merges data from two sources to produce a structured output for wishlist ingestion.
Purpose
The Python script automates the process of enabling a campaign override flag when adjusted recommendations exceed predefined caps set in Google Sheets.
Purpose
The Python script updates benchmark dimensions in Marin by copying benchmarks from a staging Google Sheet, matching them with strategies using the ‘Abbreviation’ column.
Purpose
The Python script ingests media plan spend targets from a Google Sheets document and maps them to strategies for the current month.
Purpose
Lookup new month’s spend target and update via strategy bulk file
Purpose
The Python script automates the process of updating strategy spend targets by copying program budgets from Google Sheets and aligning them with existing strategies.
Purpose
The Python script automates the process of tagging campaigns with program manager information using data from Google Sheets.
Purpose
The Python script updates strategy spend targets by copying monthly budget data from Google Sheets to a staging area, matching abbreviations with strategies.
Purpose
The script automates the process of copying and updating monthly budget allocations from Google Sheets to a structured budget allocation system by matching campaign strategies.
Purpose
The Python script automates the process of copying and updating Epicor monthly budgets from Google Sheets to a staging area on the first day of each month.
Purpose
The script processes and merges data from two sources to generate a structured output for offline import.
Purpose
The Python script processes and merges data from two sources to generate a structured dataset for advertising campaigns, ensuring URLs are correctly formatted and populated.
Purpose
The Python script processes and merges data from two sources to prepare a structured dataset for offline import, ensuring URLs are correctly assigned based on specific conditions.
Purpose
The Python script processes and merges data from two sources to format email campaign information for Memira DK.
Purpose
The Python script processes and merges data from two sources to generate a structured dataset for advertising campaigns, ensuring URLs are correctly formatted and assigned.
Purpose
This Python script is used to merge data from a primary data source and a reference data source, and then generate an output dataframe.
Purpose
The Python script processes and merges data from two sources to update and format URLs based on specific conditions for Memira SE’s email import.
Purpose
The script enforces monthly budget caps for strategies and campaigns by pausing those that exceed their allocated budgets, using data from Google Sheets.
Category Item Changed - Strategy
Purpose
The script updates monthly budgets for strategies by matching them with concatenated values from a Google Sheet.
Purpose
The script updates monthly budget targets for strategies by matching them with concatenated values from a Google Sheet.
Purpose
The Python script calculates the adjusted daily budget for different strategies based on their remaining budget and the number of days left in the current month.
Purpose
The Python script ingests media plan spend targets from a Google Sheets document and maps them to strategies for the current month.
Purpose
Lookup new month’s spend target and update via strategy bulk file
Purpose
Python script that takes the unspent Strategy Spend Target from the previous month and adds it to the current Spend Target.
Purpose
The Python script automates the process of updating strategy spend targets by copying program budgets from Google Sheets and aligning them with existing strategies.
Purpose
The Python script updates strategy spend targets by copying monthly budget data from Google Sheets to a staging area, matching abbreviations with strategies.
Purpose
Pushes new Strategy Targets at start of month
Category Item Changed - Ad
Purpose
Automatically tags the “Product” dimension based on the product detail page URL of an ad.
Purpose
The Python script tags Meta Ads campaigns at the ad level based on performance metrics, using specific business rules to determine if campaigns are “winning” or “losing.”
Purpose
The script pauses advertisements if they have zero conversions after spending $100.
Purpose
Pauses ads that have a CPA of $150+ over the previous 7 days
Purpose
The script processes and merges data from two sources to generate a structured output for offline import.
Purpose
The Python script processes and merges data from two sources to generate a structured dataset for advertising campaigns, ensuring URLs are correctly formatted and populated.
Purpose
The Python script processes and merges data from two sources to prepare a structured dataset for offline import, ensuring URLs are correctly assigned based on specific conditions.
Purpose
The Python script processes and merges data from two sources to format email campaign information for Memira DK.
Purpose
The Python script processes and merges data from two sources to generate a structured dataset for advertising campaigns, ensuring URLs are correctly formatted and assigned.
Purpose
The Python script processes and merges data from two sources to update and format URLs based on specific conditions for Memira SE’s email import.
Category Action Type - Email Report
Purpose
The Python script processes and analyzes marketing strategy data to evaluate performance against targets and generate insights for optimization.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds and a lookback period.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds and a lookback period.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds and historical data analysis.
Purpose
The Python script identifies duplicate keywords within advertising campaigns and recommends which keywords to pause based on performance metrics.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds for outlier detection.
Purpose
The Python script identifies and reports weekly anomalies in campaign performance metrics using configurable thresholds and historical data analysis.
Purpose
The Python script identifies and reports weekly anomalies in campaign performance metrics over the last eight weeks, using configurable thresholds for outlier detection.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds and historical data analysis.
Purpose
The Python script calculates predictive revenue values at the campaign level using gross lead data and program-level revenue and conversion rates.
Purpose
The Python script identifies anomalies in campaign performance by comparing actual metrics against forecasted values using day-of-week forecasts and adjustable thresholds.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds for outlier detection.
Purpose
The Python script identifies outliers in weekly campaign performance metrics using adjustable thresholds and generates a report for the last eight weeks to accommodate conversion lag.
Purpose
The Python script identifies and reports anomalies in weekly campaign metrics using configurable thresholds and historical data analysis.
Purpose
The Python script identifies and reports anomalies in weekly campaign metrics using configurable thresholds for outliers and deviations.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds for outlier detection.
Purpose
The script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds for outlier detection.
Purpose
The Python script identifies and reports anomalies in weekly campaign metrics using configurable thresholds for outlier detection and deviation.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds for outlier detection.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds and historical data analysis.
Purpose
The script identifies and reports anomalies in weekly campaign metrics using configurable thresholds for outlier detection and deviation.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds for outliers and deviations.
Purpose
The script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds and historical data analysis.
Purpose
The Python script identifies and reports conversion anomalies at the campaign level using configurable metrics and thresholds.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds for outlier detection.
Purpose
The Python script identifies and analyzes anomalies in weekly campaign metrics to detect outliers and trends for performance optimization.
Purpose
The Python script identifies and analyzes anomalies in weekly campaign performance metrics over the past eight weeks for Powpow Enterprise Retail.
Purpose
The Python script identifies anomalies in campaign performance by analyzing day-of-week forecasts and calculating deviations using adjustable thresholds.
Purpose
The Python script analyzes marketing strategy performance by comparing actual results against targets and categorizing deviations for further insights.
Purpose
The Python script identifies and reports anomalies in campaign performance metrics using day-of-week forecasts and adjustable thresholds.
Purpose
The Python script identifies and reports conversion anomalies at the campaign level by analyzing metrics over a specified period.
Purpose
The Python script identifies and reports conversion anomalies at the campaign level for a dental network, using configurable metrics and thresholds.
Purpose
The Python script identifies and reports weekly anomalies in campaign performance metrics using configurable thresholds for outlier detection.
Purpose
The script identifies and reports weekly anomalies in campaign performance metrics using configurable thresholds for outliers and deviations.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds for outliers and deviations.
Purpose
The Python script identifies and reports weekly anomalies in campaign performance metrics using configurable thresholds for outlier detection.
Purpose
The script alerts when the error rate in revenue processing for a file exceeds a specified threshold.
Purpose
The Python script identifies advertisements with expired or soon-to-expire application deadlines across various publishers.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics, focusing on conversions.
Purpose
The Python script identifies and reports conversion anomalies at the campaign level using configurable metrics and thresholds.
Purpose
The Python script identifies and reports on campaign performance anomalies by detecting outliers in key metrics using configurable thresholds and generates a weekly report accommodating conversion lag.
Purpose
The script compares the Cost Per Acquisition (CPA) for campaigns between the current quarter and the last week, flagging those with significant deviations.
Purpose
The Python script detects anomalies in campaign performance metrics by comparing actual values against forecasted values using statistical methods.
Purpose
Python script that identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
The script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
This Python script generates a performance anomaly report for pay-per-click marketing campaigns.
Purpose
The script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
Campaigns Anomaly
Purpose
This Python script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds and historical data analysis.
Purpose
Campaign Performance Anomaly Report with Summary
Purpose
The script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
This Python script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
Python script that identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
The script identifies anomalies in campaign performance by comparing actual metrics against forecasted values using statistical methods.
Purpose
Campaign Performance Anomaly Report with Summary
Purpose
The Python script identifies anomalies in campaign performance by comparing actual metrics against day-of-week forecasts using adjustable thresholds for interquartile range (IQR) and deviation.
Purpose
The Python script identifies anomalies in campaign performance by analyzing day-of-week forecasts and calculating deviations using adjustable thresholds.
Purpose
The Python script identifies anomalies in campaign performance by comparing actual metrics against forecasted values using day-of-week forecasts and adjustable thresholds.
Purpose
The Python script identifies and reports campaign-level outliers in key conversion metrics, such as Total AMU Sign-Ups, by calculating anomalies using adjustable thresholds.
Purpose
The script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
The Python script identifies and reports anomalies in campaign performance metrics by comparing actual data against forecasted values using statistical methods.
Purpose
This Python script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
The script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
Python script that identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
The script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
Python script that identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
The script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
Python script that identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
The script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
This Python script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
Python script that identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
The script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
Python script that identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose The Python script identifies anomalies in campaign performance by analyzing day-of-week forecasts and rolling up performance metrics to dimensions such as Product Category and Brand/Generic, using adjustable IQR and...
Purpose
The script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
Campaign Anomaly Detection
Purpose
Python script solves the problem of generating a performance anomaly report for pay-per-click marketing data.
Purpose
The Python script identifies paused CCT groups with single-word keywords that have been paused within the last five days.
Purpose
The Python script identifies paused CCT groups with single-word keywords that have been paused within the last five days.
Purpose
The Python script identifies and filters paused CCT groups based on a specific date range.
Purpose
The Python script identifies and filters paused CCT groups based on a specific date range.
Purpose
The Python script identifies and filters paused CCT groups based on a specific date range.
Purpose
The Python script identifies paused CCT groups with single-word keywords that have been paused within the last five days.
Purpose
The Python script identifies campaigns with significant budget overspend or underspend by comparing publication costs to daily budgets.
Purpose
The script identifies anomalies in campaign performance metrics for hotels by comparing actual data against forecasts and calculating deviation scores.
Purpose
The Python script identifies duplicate keywords within the same publisher and account, recommends which keywords to pause based on performance metrics, and sends an email report.
Purpose
Python script to detect anomalies in campaign data and generate an anomaly report.
Purpose
The Python script detects anomalies in campaign performance metrics for different campaign types and accounts.
Purpose
Analyze campaign data to identify anomalies and calculate anomaly scores for each product and account.
Purpose
The Python script identifies inactive campaigns based on their publication costs and predicted user visits within a structured budget allocation framework.
Purpose
This Python script is used to merge data from a primary data source and a reference data source, and then generate an output dataframe.
Category Item Changed - None
Purpose
The Python script processes and analyzes marketing strategy data to evaluate performance against targets and generate insights for optimization.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds and a lookback period.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds and a lookback period.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds and historical data analysis.
Purpose
The Python script attributes quality call conversions to keywords based on their click weight.
Purpose
The Python script identifies duplicate keywords within advertising campaigns and recommends which keywords to pause based on performance metrics.
Purpose
The Python script processes offline booking data by copying it from a primary data source to an output data frame, allowing for custom output columns.
Purpose
The Python script processes and exports account data from a primary data source without modifications.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds for outlier detection.
Purpose
The Python script identifies and reports weekly anomalies in campaign performance metrics using configurable thresholds and historical data analysis.
Purpose
The Python script identifies and reports weekly anomalies in campaign performance metrics over the last eight weeks, using configurable thresholds for outlier detection.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds and historical data analysis.
Purpose
The Python script calculates predictive revenue values at the campaign level using gross lead data and program-level revenue and conversion rates.
Purpose
The Python script identifies anomalies in campaign performance by comparing actual metrics against forecasted values using day-of-week forecasts and adjustable thresholds.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds for outlier detection.
Purpose
The Python script processes and transforms input data related to various digital product transactions, adjusting specific fields based on predefined conditions.
Purpose
The Python script identifies outliers in weekly campaign performance metrics using adjustable thresholds and generates a report for the last eight weeks to accommodate conversion lag.
Purpose
The Python script identifies and reports anomalies in weekly campaign metrics using configurable thresholds and historical data analysis.
Purpose
The Python script identifies and reports anomalies in weekly campaign metrics using configurable thresholds for outliers and deviations.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds for outlier detection.
Purpose
The script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds for outlier detection.
Purpose
The Python script identifies and reports anomalies in weekly campaign metrics using configurable thresholds for outlier detection and deviation.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds for outlier detection.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds and historical data analysis.
Purpose
The script identifies and reports anomalies in weekly campaign metrics using configurable thresholds for outlier detection and deviation.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds for outliers and deviations.
Purpose
The script processes and merges data from two sources to produce a structured output for wishlist ingestion.
Purpose
The script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds and historical data analysis.
Purpose
The Python script identifies and reports conversion anomalies at the campaign level using configurable metrics and thresholds.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds for outlier detection.
Purpose
The Python script identifies and analyzes anomalies in weekly campaign metrics to detect outliers and trends for performance optimization.
Purpose
The Python script identifies and analyzes anomalies in weekly campaign performance metrics over the past eight weeks for Powpow Enterprise Retail.
Purpose
The Python script processes and uploads daily budget data from a primary data source, ensuring unique entries based on specific criteria.
Purpose
The Python script identifies anomalies in campaign performance by analyzing day-of-week forecasts and calculating deviations using adjustable thresholds.
Purpose
The Python script analyzes marketing strategy performance by comparing actual results against targets and categorizing deviations for further insights.
Purpose
The Python script identifies and reports anomalies in campaign performance metrics using day-of-week forecasts and adjustable thresholds.
Purpose
The Python script identifies and reports conversion anomalies at the campaign level by analyzing metrics over a specified period.
Purpose
The Python script identifies and reports conversion anomalies at the campaign level for a dental network, using configurable metrics and thresholds.
Purpose
The Python script identifies and reports weekly anomalies in campaign performance metrics using configurable thresholds for outlier detection.
Purpose
The script identifies and reports weekly anomalies in campaign performance metrics using configurable thresholds for outliers and deviations.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds for outliers and deviations.
Purpose
The Python script identifies and reports weekly anomalies in campaign performance metrics using configurable thresholds for outlier detection.
Purpose
The script alerts when the error rate in revenue processing for a file exceeds a specified threshold.
Purpose
The Python script identifies advertisements with expired or soon-to-expire application deadlines across various publishers.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics, focusing on conversions.
Purpose
The Python script identifies and reports conversion anomalies at the campaign level using configurable metrics and thresholds.
Purpose
The Python script identifies and reports on campaign performance anomalies by detecting outliers in key metrics using configurable thresholds and generates a weekly report accommodating conversion lag.
Purpose
The script compares the Cost Per Acquisition (CPA) for campaigns between the current quarter and the last week, flagging those with significant deviations.
Purpose
The Python script detects anomalies in campaign performance metrics by comparing actual values against forecasted values using statistical methods.
Purpose
Python script that identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
The Python script processes GEM data to apply a latency curve adjustment for conversion and revenue calculations.
Purpose
The Python script processes GEM data to apply a latency curve adjustment for conversion and revenue metrics.
Purpose
The Python script processes GEM data to apply a latency curve adjustment to conversion and revenue metrics.
Purpose
The script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
This Python script generates a performance anomaly report for pay-per-click marketing campaigns.
Purpose
The script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
Campaigns Anomaly
Purpose
This Python script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds and historical data analysis.
Purpose
Campaign Performance Anomaly Report with Summary
Purpose
The script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
This Python script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
Python script that identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
The script identifies anomalies in campaign performance by comparing actual metrics against forecasted values using statistical methods.
Purpose
Campaign Performance Anomaly Report with Summary
Purpose
The Python script identifies anomalies in campaign performance by comparing actual metrics against day-of-week forecasts using adjustable thresholds for interquartile range (IQR) and deviation.
Purpose
The Python script identifies anomalies in campaign performance by analyzing day-of-week forecasts and calculating deviations using adjustable thresholds.
Purpose
The Python script identifies anomalies in campaign performance by comparing actual metrics against forecasted values using day-of-week forecasts and adjustable thresholds.
Purpose
The Python script identifies and reports campaign-level outliers in key conversion metrics, such as Total AMU Sign-Ups, by calculating anomalies using adjustable thresholds.
Purpose
The script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
The Python script identifies and reports anomalies in campaign performance metrics by comparing actual data against forecasted values using statistical methods.
Purpose
This Python script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
The script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
Python script that identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
The script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
Python script that identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
The script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
Python script that identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
The script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
This Python script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
Python script that identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
The script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
Python script that identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose The Python script identifies anomalies in campaign performance by analyzing day-of-week forecasts and rolling up performance metrics to dimensions such as Product Category and Brand/Generic, using adjustable IQR and...
Purpose
The script identifies performance anomalies in PPC campaigns by comparing actual data against forecasts based on historical trends.
Purpose
Campaign Anomaly Detection
Purpose
Python script solves the problem of generating a performance anomaly report for pay-per-click marketing data.
Purpose
The Python script identifies paused CCT groups with single-word keywords that have been paused within the last five days.
Purpose
The Python script identifies paused CCT groups with single-word keywords that have been paused within the last five days.
Purpose
The Python script identifies and filters paused CCT groups based on a specific date range.
Purpose
The Python script identifies and filters paused CCT groups based on a specific date range.
Purpose
The Python script identifies and filters paused CCT groups based on a specific date range.
Purpose
The Python script identifies paused CCT groups with single-word keywords that have been paused within the last five days.
Purpose
The Python script identifies campaigns with significant budget overspend or underspend by comparing publication costs to daily budgets.
Purpose
The script identifies anomalies in campaign performance metrics for hotels by comparing actual data against forecasts and calculating deviation scores.
Purpose
The Python script identifies duplicate keywords within the same publisher and account, recommends which keywords to pause based on performance metrics, and sends an email report.
Purpose
Python script to detect anomalies in campaign data and generate an anomaly report.
Purpose
The Python script detects anomalies in campaign performance metrics for different campaign types and accounts.
Purpose
Analyze campaign data to identify anomalies and calculate anomaly scores for each product and account.
Purpose
The Python script identifies inactive campaigns based on their publication costs and predicted user visits within a structured budget allocation framework.
Purpose
This Python script is used to merge data from a primary data source and a reference data source, and then generate an output dataframe.
Category Item Changed - Product Group
Purpose
The script automates the process of setting all active Google Product Groups to Bid Override with no end date.
Category Linked Datasource - FTP/Email Feed
Purpose
The Python script processes and analyzes marketing strategy data to evaluate performance against targets and generate insights for optimization.
Purpose
The Python script processes offline booking data by copying it from a primary data source to an output data frame, allowing for custom output columns.
Purpose
The Python script processes and exports account data from a primary data source without modifications.
Purpose
The Python script processes and transforms input data related to various digital product transactions, adjusting specific fields based on predefined conditions.
Purpose
The script processes and merges data from two sources to produce a structured output for wishlist ingestion.
Purpose
The Python script processes and uploads daily budget data from a primary data source, ensuring unique entries based on specific criteria.
Purpose
The Python script analyzes marketing strategy performance by comparing actual results against targets and categorizing deviations for further insights.
Purpose
The script alerts when the error rate in revenue processing for a file exceeds a specified threshold.
Purpose
The Python script processes GEM data to apply a latency curve adjustment for conversion and revenue calculations.
Purpose
The Python script processes GEM data to apply a latency curve adjustment for conversion and revenue metrics.
Purpose
The Python script processes GEM data to apply a latency curve adjustment to conversion and revenue metrics.
Purpose
The Python script analyzes campaign-level forecasts to identify profit-maximizing targets and generates a bulk sheet to update these targets for Google Smart Bidding strategies.
Purpose
The script analyzes campaign-level forecasts to identify profit-maximizing targets and generates a bulk sheet to update these targets for Google Smart Bidding strategies.
Category Action Type - Revenue Upload
Purpose
The Python script attributes quality call conversions to keywords based on their click weight.
Purpose
The script processes and merges data from two sources to produce a structured output for wishlist ingestion.
Purpose
The Python script processes and uploads daily budget data from a primary data source, ensuring unique entries based on specific criteria.
Purpose
The Python script processes GEM data to apply a latency curve adjustment for conversion and revenue calculations.
Purpose
The Python script processes GEM data to apply a latency curve adjustment for conversion and revenue metrics.
Purpose
The Python script processes GEM data to apply a latency curve adjustment to conversion and revenue metrics.
Category Reference Datasource - M1 Report
Purpose
The Python script attributes quality call conversions to keywords based on their click weight.
Purpose
The script identifies conflicting keywords between current and negative keywords in an account.
Category Action Type - Revenue Upload (Preview)
Purpose
The Python script processes offline booking data by copying it from a primary data source to an output data frame, allowing for custom output columns.
Purpose
The Python script processes and exports account data from a primary data source without modifications.
Purpose
The Python script processes and transforms input data related to various digital product transactions, adjusting specific fields based on predefined conditions.
![Script 1277: [Demo] Ingest Media Plan](/marinone-scripts/assets/images/m1-icon-grey.png){kind=icon}