Tips to improve your Split Tests and A/B Tests
Looking to improve the performance of your split tests or better understand how to use a split test calculator? You should read our article on Where Most People Go Wrong When Split Testing.
Split Test Calculator
Check if Your Split Test Results are Statistically Significant
Enter your numbers of Visitors and Conversions for your Control and Variation in the split test calculator to see if your results are statistically significant.
Winner!
Control
33.3%
Winner!
Variation
56.25%
What is Statistical Significance in a split test?
When running a split test or AB testing, statistical significance is how reliable your results are, and that the difference between your control and test version isn’t due to error or random chance.
For example, if you run a split test with a 95% significance level, you can be 95% confident that the differences are real.
Split Test Results:
99% Significant
99% Significant
+68.8%
Your variation's conversion rate of 56.25% is 68.8% higher than the control. You can be 99% confident that the variation will perform better than the control.
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