Multivariate Testing
Test method that evaluates several elements of a page or campaign in many combinations at once to find the strongest variant.
Also known as: MVT, Multivariate Test
Multivariate testing evaluates several elements of a page or campaign at the same time in different combinations. Unlike an A/B test with a single variable, many variants run in parallel, for example different headlines combined with different images and call to action buttons. The goal is to identify the strongest combination.
How the math works
The total number of combinations follows from the number of variants per element. Three headlines, two images and two call to action variants yield twelve combinations. Each variant needs enough participants to deliver statistically robust results, far more than a simple A/B test. On small lists the method is therefore rarely practical.
When the effort pays off
Multivariate tests pay off where traffic is high and you want to understand interaction effects between elements. A headline may work with one image but flop with another. A classic A/B test does not surface such interactions. It works best to define hypotheses up front instead of testing every possible combination blindly.
Relevance to JD Mail
In JD Mail you can run several variants of a campaign in parallel, for example different subject lines, sender names and content blocks. With a large enough list this becomes a multivariate setup, and the winning combination can be sent automatically to the rest of the audience. Reporting metrics such as open rate and click rate show the impact per variant.