Testing Significance Calculator

A/B/n Split Test Significance Calculator

Use this calculator to see if your optimization test results are statistically accurate.

A split test must reach a minimum of 95% statistical accuracy to be reliable. Statistical accuracy is used so that you can be sure your winning variation hasn’t outperformed the losing variations because of luck. Simply enter your data into the calculator below and find out the statistical accuracy of your split tests.

# Visitors
Variation 1

The winning variation is
the at a % confidence level.

You need 95% or more to trust the test results.

"Trinity Insight executed usability work for Charlotte Russe that uncovered some interesting opportunities and potential site enhancements. We were able to get real customer feedback in a mechanism that was cost effective and rapid. I definitely recommend Trinity for retailers who are looking to improve their customer experience and drive improved conversion rates."Craig Gillan | eCommerce Director, Charlotte Russe

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