Purpose:
The Python 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 by analyzing weekly performance data.
Purpose:
The Python script processes a DataFrame to extract and categorize information about campaigns, including studio names, feed categories, and language targets.
Purpose:
The Python script updates benchmark dimensions in Marin by copying data from a staging Google Sheet, matching the ‘Abbreviation’ column with the ‘Strategy’ 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 identifies and reports weekly anomalies in campaign performance metrics using configurable thresholds and historical data analysis.
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.
