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7

A/B Test Significance

Fast calculator flows with instant feedback and cleaner layouts.

Fast calculator flows with instant feedback and cleaner layouts.

Variant A

Conv. Rate: 10.00%

Variant B

Conv. Rate: 12.00%

Not Significant

—

Collect more data

A/B Test Significance

UseDaily's free A/B test significance calculator tells you whether the difference in conversion rates between two variants is statistically significant. Enter visitor counts and conversions for Variant A and B to get a confidence level and a clear recommendation.

How to Use

Enter the number of visitors and conversions for Variant A and Variant B. The calculator returns a statistical confidence percentage and tells you whether to declare a winner or collect more data.

Who Is This For?

1

Growth Teams

Evaluate experiment results before shipping a winning variant to production.

2

Product Managers

Make data-driven decisions about feature changes based on statistical evidence.

3

Marketing Teams

Determine which landing page, email subject line, or CTA performs meaningfully better.

Key Features

Statistical Significance

Uses Z-score analysis to determine if the conversion rate difference is statistically meaningful.

Confidence Percentage

Returns a clear confidence level (e.g. 95%) rather than raw p-values.

Clear Recommendation

Tells you whether Variant B is a statistically significant winner or if you need more data.

Privacy Focused

All processing happens in your browser. Your data is never sent to any server.

Frequently Asked Questions

Yes. UseDaily's A/B test significance calculator is completely free to use.
95% confidence is the industry standard for declaring a test winner. Some teams use 90% for faster iteration.
The calculator uses a two-proportion Z-test, the standard approach for comparing conversion rates between two variants.
It depends on your baseline conversion rate and the minimum effect size you care about. Generally, hundreds to thousands of conversions per variant are needed for reliable results.