Browse categorized A/B test ideas for landing pages, email campaigns, pricing pages, and checkout flows. Each idea includes a hypothesis template, expected impact level, implementation difficulty, and statistical significance calculator for planning experiments.
Add Bayesian statistical significance calculator as alternative to frequentist approach.
Real-world A/B test case studies with screenshots, results, and learnings from known brands.
Plan multivariate tests with multiple variables and interaction effect considerations.
Visual calendar to schedule tests, avoid conflicts, and plan testing roadmaps quarterly.
Estimate annual revenue impact of a successful test based on traffic and conversion lift.
Simple mockup tool to sketch variant A vs B layouts before building the actual test.
Copy the prompt above and paste it into Claude Code. Your testing toolkit will be live in minutes.
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