- What is the downside of a multivariate test?
- Which of the following is a common challenge for implementation of multivariate tests?
- How does an a B test differ from a multivariate test?
What is the downside of a multivariate test?
The single biggest limitation of multivariate testing is the amount of traffic needed to complete the test. Since all experiments are fully factorial, too many changing elements at once can quickly add up to a very large number of possible combinations that must be tested.
Which of the following is a common challenge for implementation of multivariate tests?
The most difficult challenge in executing multivariate tests is the amount of visitor traffic required to reach meaningful results. Because of the fully factorial nature of these tests, the number of variations in a test can add up quickly.
How does an a B test differ from a multivariate test?
A/B tests and multivariate tests are similar in how they're conducted. The main difference is that A/B tests look at the performance of just one variable at a time or the overall page whereas multivariate tests are testing multiple variables at once.