Four Steps to Running A/B Tests on Low-Traffic Sites
A/B testing helps you to compare two versions of a web page, email, or other marketing asset with just one varying element. It enables you to identify better performing web assets.
It is difficult to perform A/B testing for low traffic websites. To help you tackle an issue, Portent contributor Tim Mehta has shared a four-step process that can be used to perform A/B tests on low-traffic sites.
Mehta says, “In this article, we discuss different tactics on how you can run A/B tests on your site and reach statistical significance without waiting for hundreds of days. We’ll also look at some alternative strategies that can help achieve the same thing as A/B testing: a better-optimized website.
Note: These tactics also apply to low-traffic pages. Maybe your site overall gets a ton of traffic, but there’s a specific page you’d like to optimize that doesn’t get nearly as much.
Tactics for Successful A/B Testing on Low-Traffic Sites
First, let’s define the term “low-traffic.” If your site or page has a few hundred visits a day or less, that would be considered “low-traffic.” Alright, now we can jump in.
Make Big Changes
The higher the MDE (Minimum Detectable Effect) of your proposed variation, the less time that will be needed to reach significance. The MDE, in simple terms, is how impactful you think the variation will be on the conversion rate”.
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