Calculate statistical significance for your A/B tests. Get conversion rates, uplift, Z-score, P-value, and determine if your results are statistically significant.
Enter the number of visitors and conversions for both control and test groups.
Get our free PDF with A/B testing best practices, sample size formulas, and statistical significance guidelines.
A/B testing helps you make data-driven decisions by comparing two versions of a webpage or app. Our calculator uses statistical methods to determine if differences are meaningful.
What is statistical significance?
Statistical significance indicates whether the difference between your control and test groups is likely due to the changes you made, rather than random chance.
What is a good sample size?
Larger sample sizes provide more reliable results. Use our Sample Size Calculator to determine the minimum visitors needed before running your test.