A/B testing in campaigns

A/B testing in campaigns involves comparing two versions of a message or advertisement to see which performs better. For example, you might send one version of an email with a blue button and another with a red button to different groups. By measuring how many people click or respond, you can determine which version is more effective. This approach helps marketers make informed decisions, optimize campaign results, and improve future communications based on real data, rather than assumptions.