Let’s start with A/B testing, which is a simpler approach when compared to other testing methods.
A/B testing focuses on comparing two distinct romania phone number list versions of a webpage, making it ideal for binary changes to one particular element (like the color of your call-to-action button).
With multivariate testing, you can test multiple elements simultaneously, which means you can run through all the possible combinations of multiple variables within a single page.
Multivariate testing requires a lot of traffic to reach statistical significance, since all the possible combinations of test elements need to be shown to many different website visitors to judge their effectiveness. The amount of traffic you have will affect the trustworthiness of your test results.
Therefore, if you’re trying to optimize a low-traffic page, it might be better to use traditional A/B testing instead of performing a multivariate test.
It will be much easier to hit the minimum sample size for statistically significant results when you’re only showing two versions of a web page to your visitors instead of nine combinations (or more).
