A/B testing (split testing) is the process of setting up two versions of one page, and testing which page outperforms the other. Here's how to do it right. Did you know that you can test certain ...

This question originally appeared on Quora: When should A/B testing not be trusted to make decisions? Answer by Edwin Chen, Ex: math and linguistics at MIT, speech recognition at Microsoft Research, ...

How much of your digital strategy is based on things you know rather than things you think you know? As digital marketers, we like to think of ourselves as totally data-driven people -- but the truth ...

Now imagine doing any of these things on a smartphone. Chances are it would take several false starts and -- if you were dedicated to the goal -- a lot of struggle before the job was done. It has ...

Learn how A/B testing and multivariate testing impact SEO and 8 tips to improve your tests and processes to maximize your site's SEO performance. To be successful in SEO, we need to have an ...

A/B testing is an experiment that involves serving two different variations of the same element to website users simultaneously and comparing the results to determine which variation performs better.

A/B-testing should help you get better results—not waste your budget. But without structure or a clear hypothesis, it often becomes a series of tests of random changes. The key is to focus on the ...