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A/B Test Duration Calculator

Free Calculator

Estimate how many days your A/B test needs to run to reach your target sample size.

100% private

Runs in your browser β€” no numbers leave your device.

Your numbers

Users needed in each variant to reach significance (from your sample-size calculator).

Include the control β€” a classic A/B test has 2.

How many people enter the test each day, across all variants.

Test duration (days)

10

Total sample Γ· daily visitors.

Weeks

1.4

Round up to full weeks to smooth out weekday effects.

How it works

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Ship stronger variants to test

Reverze generates A/B screenshot variants so you always have a stronger version to test

How long should you run an A/B test?

A/B test duration comes down to simple math: how many users you need versus how fast they arrive. This calculator multiplies your sample size per variant by the number of variants, then divides by your daily visitors to tell you how many days β€” and weeks β€” the test should run.

Pair it with a sample-size calculator to get the per-variant number first, then bring it here. Running long enough to hit that sample is what makes your winner trustworthy instead of a coin flip, so resist calling the test early even when an early lead looks tempting.

Frequently asked questions

How long should I run an A/B test?
Run it until each variant reaches its target sample size. This calculator gives you that in days: total sample needed divided by daily visitors.
Where does the sample size per variant come from?
From a sample-size calculator, which uses your baseline conversion rate, the effect you want to detect, and your confidence level. Bring that number here to convert it into a timeline.
Should I round up to full weeks?
Yes. Traffic and behaviour differ by weekday, so running full weeks avoids skewing your result toward one part of the week.
Can I stop the test as soon as I see a winner?
No. Stopping early inflates false positives. Wait until you reach the sample size and duration this calculator estimates.