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CRO

Multivariate testing

Multivariate testing is an experiment that tests multiple page elements, such as a headline, an image and a button colour, in combination at once, measuring not just each element's individual effect but how they interact. It needs meaningfully more traffic than a simple A/B test to reach a reliable result.

Also called: MVT

Why it matters to a buyer

Multivariate testing sounds like a more thorough version of an A/B test, but for most buyers it is the wrong tool: because it splits traffic across every combination of the elements being tested, it needs far more total visitors than a simple two-version test to reach a reliable conclusion on any one combination, which puts it out of reach for most small and mid-sized sites. Understanding this distinction stops a buyer from being sold a multivariate program the site's traffic cannot actually support.

How it is measured or applied

A multivariate test is set up by choosing a small number of elements to vary, each with a small number of variations, since the total combinations multiply quickly and each needs enough traffic on its own. It is applied on genuinely high-traffic pages, where the combined sample can be split many ways and still reach significance for each combination in a reasonable time, and read using the testing platform's own statistical analysis, which reports both each element's individual effect and any interaction between elements. On lower traffic, a sequence of simple A/B tests, one variable at a time, reaches a usable answer faster.

Sources

  1. Multivariate testing, Optimizely

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