A/B testing (also known as split testing) is a method of comparing two versions of a webpage or app against each other to determine which one performs better. AB testing is essentially an experiment where two or more variants of a page are shown to users at random, and statistical analysis is used to determine which variation performs better for a given conversion goal.
Running an AB test takes the guesswork out of website optimization and enables data-informed decisions that shift business conversations from "we think" to "we know." By measuring the impact that changes have on your metrics, you can ensure that every change produces positive results.
Want to know how the world's leading companies are using A/B testing to drive growth and improve conversion rates? Download our FREE ebook of 43 A/B testing case studies for ideas and inspiration for how you can optimize your business!
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