Programming Tutorials

  Performance Max (PMax) has fundamentally changed how we manage paid search, shifting control from manual keyword levers to automated, machine-learning-driven intent matching. However, for Data Analysts and PPC Engineers, this shift introduced a significant visibility problem. PMax campaigns are frequently criticized as "black boxes." While you can easily see campaign-level CPA or ROAS, determining exactly  which  headline, image, or video asset triggered that conversion is notoriously difficult. The Google Ads UI buries this data in the "Asset Detail" drawer, making it impossible to analyze at scale across hundreds of asset groups. If you are trying to programmatically retrieve granular asset performance data to build custom dashboards or automate creative refreshes, standard reporting endpoints often return empty rows. This guide provides a robust, technical solution using Google Ads Scripts and GAQL (Google Ads Query Language) to extract asset-level performance ...