The A/B testing feature allows marketers to test two versions of an email campaign to identify which version performs better with the audience. It helps optimize email performance by using real user engagement data instead of assumptions.

This feature improves key metrics such as open rates, click-through rates, and conversions, ensuring that the most effective version of the email is delivered to a larger audience.

This is most requested feature as it saves time and help to understand which campaign will perform better.