A/B Test Significance Calculator
Check if your A/B test result is statistically significant.
Result
How to use
- Enter your values in the fields above.
- Press Calculate to see your result instantly.
- Use the Share button to copy a link to your result.
About this calculator
This calculator runs a two-proportion z-test to check whether the difference between two conversion rates is statistically significant, computing a pooled standard error from both sample sizes and conversion counts, then comparing the resulting z-score against a chosen significance threshold.
Product managers, growth marketers, and UX researchers use it after running an A/B test on a landing page, email subject line, or checkout flow to decide whether a lift in conversions is real or just random noise. Enter the visitors and conversions for both variants to get the significance and p-value.
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