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Free A/B test significance calculator

Is your A/B test winner real?

Enter visitors and conversions for the control and the variant. You get the conversion rates, the lift, the p-value, a confidence interval and a plain-English verdict.

Your results

Use the numbers from your testing tool or analytics for the whole test period.

Verdict

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Conversion rate A
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Conversion rate B
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Relative lift
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p-value (two-sided)
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Lift confidence interval
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Get help running your tests

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How to read the result

A significant result means the difference is unlikely to be pure chance, not that the lift is exactly the number you see. The confidence interval shows the range the true lift probably falls in. If it is wide, the real effect could be much smaller than the observed one.

The calculator uses a two-sided two-proportion z-test. It is the right check for conversion rates when the test ran to its planned sample size. It is not a license to stop a test the moment it turns green.

Before you call a winner

If the result is flat, read what to do when an A/B test is inconclusive.

FAQ

Frequently asked questions

What p-value means significant?

At 95% confidence, a p-value below 0.05. It means a difference this large would be unlikely if there were really no difference. It does not tell you how big the true effect is.

Is this a one-sided or two-sided test?

Two-sided. It checks whether B is better or worse than A, which is the safer default for most tests.

My test is significant after two days. Can I stop?

No. Early results swing a lot. Run to the sample size you planned and at least two full weeks, then read the result once. See when to call an A/B test.

Can I use this for revenue per visitor?

Not directly. This calculator is for conversion rates. Revenue per visitor needs a test on averages, which your testing tool or a t-test on order-level data can do.

Let’s talk

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