YouTube Ads Creative Analysis- Google Developers Blog

What this post added

This post details a machine learning-based approach for analyzing YouTube ads to improve view-through rate (VTR). It outlines a 5-step process: defining business questions, extracting raw components using Google Cloud Video Intelligence API, engineering features (including AI-based feature engineering with LLMs), modeling with VTR as the target, and interpreting the results. The post highlights the use of LLMs for automated feature engineering and discusses challenges such as feature interactions and the representativeness of historical data.