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CRO Tool

A/B Test Significance Calculator

Check whether a control and variant conversion result has enough evidence to call a meaningful difference.

Uses a two-sided two-proportion z-test approximation. Treat the result as a planning and interpretation estimate, not a reason to stop the moment a test first looks good.
Experiment results
Two-sided test
Total eligible visitors in the control group.
Conversions observed in the control group.
Total eligible visitors in the variant group.
Conversions observed in the variant group.
Decision threshold for the two-sided test.
Control rate
-
conversion rate
Variant rate
-
conversion rate
P-value
-
two-sided result
Absolute lift
-
percentage-point difference
Relative lift
-
versus control
Z-score
-
normal approximation

Enter valid results

The calculator updates automatically as you change the experiment counts.

Needs inputs

How to read it

A lower p-value means the observed conversion-rate gap is less likely under a no-difference assumption.

Before calling a winner

Avoid stopping early just because the result crosses a threshold. Run through complete business cycles and use the decision alongside product judgment.

Practical guardrails

  • Use final assignment counts, not partial analytics snapshots.
  • Check that traffic quality stayed stable across variants.
  • Treat very small samples as directional, even with a good-looking lift.