Duration and Sampling Calculator for A/B Testing

Find out how long your A/B tests need to run and how many visitors you need to reach, to achieve a statistically significant result.

Duration and Sampling Calculator for A/B Testing

Find out how long your A/B tests need to run and how many visitors you need to reach, to achieve a statistically significant result.

How many visitors do you need to run your A/B tests and how long does it take?

Current conversion rate (%)

Minimum improvement you want to achieve (%):

Number of variations (including control):

Average number of daily visitors:

Number (%) of visitors included in the test:

To obtain a 95% certainty of the result, you need to have 1247 users. For this reason, you should run the test for at least 1.25 days.

Statistical Significance Number of days Number of visitors
95% 1.25 1247
80% 0.77 767