Watch AI rewrite a failing ad hook in real time

In this tutorial, the presenter demonstrates a fast, repeatable workflow for identifying and fixing weak video ad hooks using Meta Ads Manager and the Claude large language model. The process begins by creating two custom metrics—Hook Rate (3‑second video plays ÷ impressions) and Hold Rate (50% video plays ÷ impressions)—and adding them to the Ads Manager columns. By examining these metrics, the presenter explains how a Hook Rate below 25% signals a problem with the ad’s opening (the hook), while a high Hook Rate paired with a low Hold Rate points to issues in the ad’s body. For ads with a low Hook Rate, the presenter extracts the hook text (the first line of the creative), feeds it along with a specially crafted prompt into Claude, and receives a ranked list of optimized hook variations predicted to improve performance. The entire loop—from data extraction to AI‑generated hook suggestions—takes less than five minutes, offering a practical method for marketers to quickly iterate on ad copy.










