A/B testing is a user experience research methodology. It consists of a randomized experiment with two variants, A and B. It includes application of statistical hypothesis testing or “two-sample hypothesis testing” as used in the field of statistics.

SeedProd contributor Stacey Corrin has published a step-by-step guide to running Google Optimize A/B testing.

She says, “Do you want to test and optimize elements on your website or landing pages?

With A/B testing, you can experiment with different website elements to see which variations lead to the best conversion rates. But the world of conversion rate optimization is challenging if you don’t know where to start.

That’s why in this article, we’ll show you how to run Google Optimize A/B testing easily, step-by-step.

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