TL: | A/B tests are great because they require minimal tagging to set up, they are great for trying new layouts and look and feel changes, and they can also be used to test alternate workflows. Since they generally involve only a few pages, they also require a smaller number of conversions to get statistical significance. On the other hand, multivariate tests are great when it comes to testing dozens or even hundreds of versions of a page. Multivariate tests give you much more granular results, uncover unexpected positive interactions, and once instrumented, allow you to test a lot more content. That said, multivariate tests do require a bit more tagging up front and since they generally cover a larger number of versions of the page, they require more conversions to get conclusive results. In many cases, we’ve seen some of the most successful testers start with an A/B to find the general layout and look and feel that works best and then follow it up with a multivariate test to boost the conversion rate even further. |