Multivariate testing takes things a step further. Instead of testing just one variable (e.g. your headline), it allows you to conduct a test that evaluates multiple elements at once to see how they interact with each other.
For example, you might test different combinations of headlines, images, and call-to-action buttons on a single landing page.
This approach is more complex and número coreano whatsapp typically requires a larger audience, but it can provide deep insights into how various elements work together to influence user behavior.
As you dive into A/B testing, you’ll quickly realize that it comes with its own set of jargon.
Understanding these terms is crucial because they form the foundation of how you interpret and act on your test results.
Here’s a quick glossary to get you up to speed:
1. Split testing
This is simply another name for A/B testing. It involves comparing two versions of a webpage or element to see which one performs better. The goal is to identify which version drives more conversions or engagement.
2. Control
The control is the original version of your webpage or element. It serves as the baseline against which all variants are tested. Think of it as the “before” in your experiment.
3. Variant
The variant is the new version you’re testing against the control. This could be anything from a different headline to a completely redesigned landing page.
The variant is the “after” that you hope will outperform the control.
