What Is A/B Testing in Email Marketing and How Do Algorithms Assist?
A/B testing is a method used to compare two versions of an email to see which one performs better. Algorithms facilitate this by automating the testing process and analyzing the results. They can quickly determine which elements (like subject lines, images, or calls to action) drive better engagement, allowing marketers to make data-driven decisions.