A/B Test with Confidence.js
Here at sendwithus, we know how important it is to have enough data to confidently choose a winning variation. If you stop your A/B test before enough data has been collected, the variant you select might not deliver the results you’re expecting. We have worked hard to understand the statistics and math behind A/B testing so you don’t have to.
In our research we found that most A/B testing resources can really put a person to sleep.
We decided to open-source the library that we use at sendwithus so that everyone can understand their A/B tests without doing all the complicated math by hand. You have the power: whether you want use it to build a user interface, make in-house statistic calculations, or do some other magical amazing thing!