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
[ab_test_calculator]
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.