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  • 7 January 2019
Data Science

Multivariate Testing in Minutes

Agenda

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
Data Science Dojo
Blair Heckel
Blair holds a Bachelors degree in Marketing from Washington State University and has a background of leading data-driven marketing campaigns.

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