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4 Common A/B Testing Mistakes (And How to Fix Them)

November 22, 2016
Aaron Polmeer

By Carl Hargreaves

AB Testing Mistakes Carl.jpg

When you’re creating content for the web, it’s easy to make assumptions about what you think your audience might respond to — but that’s not necessarily the right mentality.

Enter A/B testing: one of the easiest and most popular forms of conversion rate optimization (CRO) testing known to marketers. And while many businesses have seen the value in using this type of validation to improve their decision making, others have tried it, only to be left with inconclusive results — which is frustrating, to say the least. Download our free introductory guide to A/B testing here.

The trouble is, small mistakes made during A/B testing can lead to round after round of incremental optimizations that fail to producing meaningful results. To combat that, I’ve outlined some of the most common A/B testing mistakes (as well as their remedies) below. These tips are designed to help you keep your testing plans on track so you can start converting more visitors into customers, so let’s dive in …

4 Common A/B Testing Mistakes (And How to Fix Them)

Problem #1: Your testing tool is faulty.

Popularity is a double-edged sword — it’s true for high schoolers and it’s true for A/B testing software.

The ubiquity of A/B testing has led to a wide range of awesome, low-cost software for users to choose from, but it’s not all of equal quality. Of course, differing tools offer differing functionality, but there can also be some more tricky differences between tools. And if you’re unaware of these differences, your A/B tests may be in trouble before you even get started.

For example, did you know that some testing software can significantly slow down your site? This decrease speed can have a harmful impact on your site’s SEO and overall conversion rates.

In fact, on average, just one second of additional load time will result in an 11% decrease in page views, and 7% decline in conversions. This creates a nightmare scenario where the websites you were hoping to improve through A/B testing are actually hindered by your efforts.

It gets worse: Your selection of A/B testing software can actually impact the results of your tests, too. Entrepreneur and influencer, Neil Patel, found that the A/B software he was using was showing significant differences, but when he implemented the new page he failed to see conversions change. His problem turned out to be a faulty testing tool.

So with all these hidden pitfalls, what can you do to make sure your A/B testing software is working fine?

The Fix: Run an A/A test.

Prior to running an A/B test, you should run an A/A test with your software to ensure it’s working without impacting site speed and performance.

For the uninitiated, an A/A test is very similar to an A/B test. The difference is that in an A/A test both groups of users are shown the …read more

Source:: HubSpot Blog

      

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