Read the p-value correctly
The p-value measures how unusual the observed difference would be if control and variation truly performed the same. It is not the probability that the variation wins.
Free CRO tool
A/B test significance calculator
Compare control and variation results to determine whether the observed conversion difference is statistically significant.
How to interpret the result
Significance answers one question, not the whole decision.
Use the result together with practical impact, data quality, guardrails, and the sample plan established before launch.
Check practical impact
A statistically significant lift can still be too small to matter. Compare the effect with implementation cost, downstream quality, and business value.
Protect the experiment
Confirm tracking quality, sample ratio, audience consistency, guardrails, and the planned stopping point before making a rollout decision.
Common questions
Before you decide
What does a p-value below 0.05 mean?
At a 95% threshold, it means the observed result is sufficiently inconsistent with the assumption that both conversion rates are equal.
Does significant mean valuable?
No. Statistical evidence and practical value are separate. Review the size of the uplift and its effect on customer and business outcomes.
Can I keep checking until the result is significant?
Not with this fixed-horizon calculation. Repeated checking and stopping early increases false positives unless you use a valid sequential method.
Need help interpreting an experiment?
Turn the statistical result into a clear product decision, rollout plan, and next learning step.
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