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, ...

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 ...

In today’s fast-paced digital landscape, where user expectations are constantly evolving and competition is only a click away, building successful products is no longer about guesswork or intuition—it ...

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 ...

Since the earliest days of SMS campaigns, mobile devices? growing capabilities have brought us increasingly sophisticated marketing efforts. Yet when it comes to measuring the impact of messaging sent ...