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A/B test significance calculator

Enter sends and opens for both variants — see whether the difference is real or just noise.

NoteStatistical significance depends on adequate sample size — with very few sends, this result may not be reliable even if it says 'significant'.

How this works

A higher open rate in a small test doesn't always mean a subject line actually won — with too few sends, differences can easily be random chance. This calculator runs a standard statistical significance test on your two variants.

Frequently asked questions

How many sends do I need for a reliable result?

There's no fixed number — it depends on the size of the difference between variants. As a rough guide, tests with fewer than a few hundred sends per variant often can't detect anything but very large differences.

What does '95% confidence' actually mean?

It means that if there were truly no difference between the variants, a gap this large (or larger) would only show up by chance about 5% of the time — not that you're 95% certain which one is better.