Purpose:
The Python script tags campaigns based on their performance metrics compared to predefined benchmarks, assigning tags like “Over Target,” “Under Target,” and “On Target.”
Purpose:
The Python script identifies anomalies in campaign performance by comparing actual metrics 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
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 metrics based on a specified latency model.
