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 |