Purpose:
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds and historical data analysis.
Purpose:
The Python script analyzes and summarizes the performance of marketing strategies by comparing actual results against targets, categorizing them based on management levels, and providing insights for optimization.
Purpose
The Python script identifies and reports anomalies in weekly campaign performance metrics using configurable thresholds and historical data analysis.
Purpose:
The Python script processes marketing data to determine and populate the ‘NTB Uplift’ metric based on specific conditions related to revenue and new customer acquisition.
Purpose:
The Python script categorizes pacing percentages into descriptive tags such as ‘On Target’, ‘Under Pacing’, ‘Over Pacing’, etc., based on predefined ranges.
Purpose:
The Python script automatically maps advertising campaigns to specific strategies based on conversion rates and Return on Advertising Spend (ROAS) metrics over defined periods.