Como usar: A/B Test Significance Calculator
- Enter the visitors and conversions for version A, your control.
- Enter the same for version B.
- Pick a confidence level. 95% is the usual choice.
- Read the result, then check the p-value and the range of the difference.
What statistical significance means
Random variation means two identical pages rarely show identical rates. A significance test asks how likely a difference this large would be if the versions performed the same. That chance is the p-value. At 95% confidence, a result counts as significant when the p-value is below 0.05.
How it’s calculated
This tool uses a two-sided, two-proportion z-test. The formula is z = (rate B − rate A) ÷ √(p(1 − p)(1/visitors A + 1/visitors B)), where p is the combined conversion rate.
Avoid common mistakes
- Don’t stop early. Checking daily and stopping at the first significant result produces false winners.
- Plan your sample. Use the A/B Test Sample Size Calculator before you start.
- Run full weeks. Weekday and weekend visitors behave differently.
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