What problem does it solve?
This Skill addresses the challenge of manually managing A/B tests by automating traffic distribution and performance analysis using Thompson Sampling, ensuring your content variants are optimized for maximum conversion.
Core Features & Use Cases
- Automated Optimization: Uses Bayesian Thompson Sampling to balance exploration and exploitation of content variants.
- Experiment Lifecycle Management: Provides a full suite of Drush commands to create, update, monitor, and analyze experiments directly from the CLI.
- Use Case: If you are testing multiple hero banner variations, this Skill automatically shifts traffic toward the highest-performing variant based on real-time conversion data.
Quick Start
Use the rl skill to create a new experiment named hero_cta_test for your module and begin tracking performance.