Documentation
README
E-Commerce A/B Testing
Master A/B testing for e-commerce across all platforms. Test product pages, pricing, ads, emails, and checkout flows with statistical rigor to maximize conversion and revenue.
Capabilities
- A/B testing methodology for e-commerce
- Platform-specific testing: Amazon Experiments, Shopify, Google Optimize
- Test prioritization frameworks (ICE, PIE, RICE)
- Statistical significance and sample size calculators
- Product page element testing hierarchy
- Price testing methodology and guard rails
- Ad creative A/B testing (Meta, Google, TikTok)
- Email and SMS A/B testing best practices
This is the opening of the README. Read the full README on GitHub.