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.