A/B testing (or “split testing”) are experiments you can run to compare the performance of different alternatives. A classical example is using an A/B test to compare two versions of a landing page, to find out which alternative leads to more registrations. You can use A/B tests to gauge interest in a new feature, response to a feature change, improve the site’s design and copy, and so forth. In s