- data science
Multivariate testing in minutes
Blair Heckel
Multivariate testing is a technique for testing a hypothesis in which multiple variables are modified. In this tutorial, we will explain how a multivariate test differs from an A/B Test, how to create and conduct a multivariate test, and what questions you should be asking about your test. The goal of multivariate testing is to determine which combination of variations performs the best out of all of the possible combinations.
What you’ll learn
- Introduction to multivariate testing
- Advantages and disadvantages to doing A/B vs multivariate testing