A/B testing involves sending two variations of an email to different segments of your audience to see which performs better. While the concept is simple, executing it can be complex. You need to set up the tests, track the results, and then analyze the data to make informed decisions. This often requires integration with analytics tools and a good understanding of statistical significance.