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A/B Test Sample Size Calculator

The A/B Test Sample Size Calculator estimates how many visitors each variant of a test needs before you can trust the results, based on your baseline conversion rate and the smallest effect you want to detect.

Enter your numbers and get a quick estimate of visitors per variant -- calculated instantly using a standard rule-of-thumb formula.

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How to Use the A/B Test Sample Size Calculator

  1. Open the A/B Test Sample Size Calculator.
  2. Enter your baseline conversion rate.
  3. Enter the minimum detectable effect you want to catch.
  4. Read the estimated visitors needed per variant and in total.

Frequently Asked Questions

What is a minimum detectable effect?

It's the smallest change in conversion rate you want your test to reliably detect -- a smaller effect requires a larger sample size to detect confidently.

What confidence level does this assume?

This estimate uses a common rule-of-thumb formula targeting roughly 95% statistical significance and 80% power.

Is this exact enough for a rigorous experiment?

It's a solid quick estimate for planning purposes -- for a rigorous, formal experiment, confirm with a dedicated statistics tool or consult a statistician.

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