Email A/B testing


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Enabled for Public preview Early access General availability
End users, automatically - This feature is released. Aug 2, 2019 This feature is released. Oct 1, 2019

Feature details

One of the best ways to find out which of several possible email designs will produce the best results is to try each design on a different subset of your audience and then analyze interaction records to see how each design was received. Marketers call this A/B testing.

We've now built this capability right into the Marketing product by allowing marketers to create alternative versions of a message and define their business goals for it. The system establishes a few small test groups within the target segment and sends a different version of the message to each group, followed by statistical analysis that automatically identifies the winning design based on the stated business goal. The winner is then delivered to the rest of the segment.

A/B testing process overview diagram

See also

Feature exploration (video)

August update and early access (blog)

Design and run A/B test on your email designs (docs)