What distinguishes multivariate tests from basic A/B tests?

• A. They test only one page at a time.
• B. They require fewer visitors to reach significance.
• C. Multivariate tests simultaneously test variants of two or more elements on a page to find the best combination, while A/B tests focus on a single variable.
• D. They are used only for mobile apps.

Answer: (C)

Multivariate testing looks at how multiple page elements work together by testing different combinations of those elements at once. Instead of changing just one thing and comparing two versions, you create variants that vary several elements (for example, headline, image, and CTA color) and show every combination to visitors. The goal is to find the best overall mix of elements rather than the effect of a single change.

For example, if you test two headlines, two images, and two CTA colors, you’d end up with eight different combinations. You analyze which combination converts best and interpret how those elements interact. This differs from A/B testing, where you typically change one element at a time and compare two versions to see which performs better.

Because multiple elements and their interactions are being evaluated, multivariate testing requires more traffic to reach statistical significance and can be more complex to analyze. If elements don’t interact, the result may resemble running several independent A/B tests, but the key idea is that multivariate testing seeks the optimal combination of several variables simultaneously.