A/B Test Significance – free online tool

Determine if your A/B test results are statistically significant and make data-driven decisions with confidence.

How to use the A/B test calculator

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This tool helps you determine if your A/B test results are statistically significant:

  • 1. Enter the number of visitors and conversions for both your control (A) and test (B) groups
  • 2. Select your desired confidence level (typically 95%)
  • 3. Calculate the statistical significance
  • 4. Review the p-value, confidence interval, and relative improvement
  • 5. Get a clear recommendation on whether to implement the tested variation
  • 6. Understand the minimum sample size needed for reliable results All statistical calculations run in your browser – no data transmission required.