What is A/B Test Significance?

A/B test significance is a statistical measure that tells you if the difference in performance between two versions (A and B) is likely due to the changes you made or just random chance.

What p-value should I look for?

In marketing and CRO, a p-value of 0.05 or lower is typically considered statistically significant. This means there is a 95% confidence level that the results are valid.

Why do I need a significance calculator?

Without calculating significance, you might declare a "winner" that actually performed better purely by luck. This can lead to implementing changes that don't actually help your business grow.

How much data do I need for a significant result?

The required sample size depends on your baseline conversion rate and the "Minimum Detectable Effect" (MDE) you are looking for. Larger differences require less data to reach significance.

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A/B Test Significance Calculator

Calculate statistical significance of your A/B tests to make data-driven decisions.

A/B Test Significance Calculator

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