🔬 A/B Test Calculator

Measure statistical significance and determine your winning variant

🔬 A/B Testing Fundamentals:

Conversion Rate = (Conversions / Visitors) × 100%

Statistical Significance: Typically requires 95% confidence (p-value < 0.05)

Run tests until you reach statistical significance to make confident decisions.

🅰️ Variant A (Control)

Your original/control version

Conversion Rate

0.00%

🅱️ Variant B (Test)

Your test/challenger version

Conversion Rate

0.00%

📊 Test Results

Improvement

0.00%

Confidence Level

0%

P-Value

-

Significant?

-

📈 Conversion Rate Comparison

Variant A 0.00%
Variant B 0.00%

📝 Test Notes & Learnings

📚 Recommended Reading

Trustworthy Online Controlled Experiments → Check on Amazon

Ron Kohavi, Diane Tang, Ya Xu

The definitive guide to A/B testing from Microsoft's experimentation platform team. Covers statistics, pitfalls, and best practices.

Testing Business Ideas → Check on Amazon

David J. Bland & Alexander Osterwalder

Practical framework for designing and running experiments to validate business hypotheses and reduce risk.

The Lean Startup → Check on Amazon

Eric Ries

Foundational book on validated learning and the Build-Measure-Learn loop through continuous experimentation.

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