One of the most popular questions app publishers ask is how much traffic they need to run valid A/B tests. Unfortunately, there is no answer with a magic number that will fit every single experiment. An optimal traffic volume for mobile A/B testing is individual and depends on such factors as a traffic source, app’s conversion rate, and targeting.
Now let’s get to the main point: how to determine the sample size for A/B tests? It’s really important to have a full understanding of it as sample size has a considerable effect on checking the significance of the observed difference in variations performance.
In this post, we’ll also review one of the A/B test sample size measuring methods which is widely used and helps to make a statistically valid decision based on the results of your mobile A/B testing.