A B split testing is a way that you can compare two versions of an email for the best performance. Marketers commonly use split testing to compare a change in one variable, such as subject lines or copy, to an original version by sending both to a sample of subscribers. The performance results of email A and B are observed, and the best version is sent to all subscribers.
Split testing is used to optimize email campaign responses including open rates, click-throughs, and, ultimately, conversions.
By analyzing the results of your split test, you can then optimize your email campaign’s effectiveness in open rates, click-throughs, and, ultimately, conversions.