A/B testing is synonymous with modern web development. In a simple A/B test, two different versions of a page, an “A” version and a “B” version, are sent to two similar sets of random viewers. This is also known as A/B/n or Split testing.
The A and B versions may be totally different, or may differ only in key areas; for example, the headline, image or call to action.
The goal of an A/B test is to determine which version performs best. Metrics that may be evaluated include email opt-ins, link clicks, bounce rate, or purchases.
Symplify Conversion makes A/B testing easy. To run an A/B test, you need to do these 4 things:
2. Setup the test. Define which visitors should experience the test and which URLs will be included.
3. Track on-page analytics. Symplify Conversion tracks the actions taken by site users; for example, which links they click, how long they stay on the site, which URLs they visit, how many of them opt-in to an email form, etc.
4. Analyze the results. Once you have data on how the “A” and “B” variants perform, analyze the result and determine which variation should be implemented. Just keep in mind, not all negative test results are actually negative.