Systematizes e-commerce ad creative testing by logging performance data to generate data-driven variants.
The Ecom Learning Loop skill transforms ad creative testing from a manual process into a compounding data system. It enables Claude to maintain a structured registry of creative assets, tags, and performance metrics like CPA and ROAS. By linking specific hooks and angles to actual results, the skill allows users to systematically generate high-probability variants of winning creatives, ensuring that every new ad sprint is backed by historical performance data rather than intuition.
主要功能
01Operating rhythms for daily logging and weekly sprint planning
02Structured creative registry for images, videos, and copy tracking
03Automated variant generation from proven winning ad angles
04Performance metric logging for Spend, CTR, CPA, and ROAS
050 GitHub stars
06Advanced tagging taxonomy including brand, product, hook, and stage
使用场景
01Tracking long-term performance of creative hooks across multiple products
02Scaling winning ad angles by generating 20+ subtle variants of a top performer
03Automating the reporting and iteration cycle for performance marketing teams
