Multivariate testing stands out as a sophisticated testing method that goes beyond traditional A/B testing. It allows you to test more than one variable to optimize conversion rates effectively.
In this article, we’ll dig into why you might v want to do multivariate testing, explore how to accomplish it, and provide some great examples.
Keep reading!
What is multivariate testing?
What is the difference between multivariate testing and A/B testing?
What are the benefits of multivariate tests?
A step-by-step guide to multivariate testing
2 real-life examples of multivariate testing
A smarter way to run multivariate tests
Top 4 multivariate testing tools
What is multivariate testing?
Multivariate testing, also known as A/B/n testing, is like a more complex version of regular A/B testing.
It helps you figure out how different parts of your webpage work together to convert your visitors. Instead of just comparing two versions of the same page, you can mix and match different elements like headlines, copy, and images to discover how they interact.
In multivariate testing, you carefully mix and show all these test variations to people who visit your page. Each group of visitors sees a unique mix of elements. This way, you can test ideas that involve many various elements.
For instance, you might test a few different headlines, product descriptions, and buttons. The test will tell you which combination of these turns most of your visitors into happy customers.
Multivariate testing allows for the exploration of a wide variety of combinations, highlighting the extensive testing variations that can be assessed to optimize conversion rates.
