A/B Testing Significance Calculator
Calculates statistical significance of A/B test results
Control Group (A)
Variant Group (B)
Test Settings
💡 Pro Tips for Lazy Marketers
- • Always ensure your sample size is large enough before making decisions
- • A 95% confidence level is standard, but consider your risk tolerance
- • Don't stop tests early when you see positive results - this can lead to false positives
- • Consider practical significance alongside statistical significance
- • Run tests for at least 1-2 full business cycles to account for variations