Enter your variant metrics and sample sizes. Find out if your result is statistically significant โ or just noise.
It calculates whether the difference in performance between two email variants (Variant A and Variant B) is statistically significant, using a two-sided Chi-Square test at your chosen confidence level (90%, 95%, or 99%).
For cold email open rate tests, aim for at least 300 sends per variant. For reply rate tests, which have a lower base rate, aim for 500-1000+ sends per variant before drawing conclusions.
95% is the standard default. It means there is only a 5% chance the difference you are seeing is due to random noise rather than a real difference between variants.
Yes. It is a free tool with no signup required. Enter your variant totals and conversions to get an instant statistical significance check.
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