Multivariate testing, A/B testing’s more sophisticated cousin, helps you identify which content or design variations contribute towards a specific goal (whether it’s getting more signups or driving purchases). This type of testing is typically recommended for websites with very large traffic volumes. It uses the same principles as an A/B test, but instead of creating variations for an entire page, you create variations for several parts of the page. Using software, you can then combine these variations in different ways to inform your redesign or conversion optimization decisions. So how do you go about running these experiments? There are several tools out there that can help.

Which multivariate testing tool should you choose?

We made a list of the best multivariate testing tools to help you review your options. Most of these tools offer A/B testing and multivariate testing in a single platform.

We looked at:

• Implementation time and requirements
• Range of features offered
• Pricing
• Level of support
• Degree of expertise needed to use it