Haven't set up an A/B test yet? Check out our guide to help get you started.
When you set up an A/B test, you'll see the following:
You may have noticed a number called "Statistical Significance". But what does this number mean?
To keep it basic, statistical significance indicates how accurate your A/B test results are.
We highly recommend running an A/B test until you reach 95%+ statistical significance to get accurate test results. How long this takes will depend on:
- How many variants you're testing
- How much traffic you have seeing the test campaign
- The conversion rate of your baseline (lower = slower significance increase)
- The improvement of variants vs. the baseline (higher improvement = faster significance increase)