Not many people have heard of A/A testing, but those that have know it can cause a lot of debate: is it a useful best practice or a waste of time? This article takes a look.
Instead of going headlong and finding a “DIY” solution to increasing conversion rates, it is often better to take a step back to: 1/ Identify the real problem at the source of poor performance, 2/ Establish a hypothesis that could be at the root of the problem. This article will show you how.
We’re enriching our conversion rate optimization platform with a server-side A/B testing solution! Now you can get even more creative with your A/B tests. Read our article to see how.
Flickering is when an original page is briefly displayed before the alternative appears during testing. The good news is that there are several best practices to effectively mask the flickering effect.
Note: This article was written by Hubert Wassner, Chief Data Scientist at AB Tasty. Some of you may have noticed … Read more
This is my personal response to a study done by ConversionXL. Rémi Aubert, CEO at AB Tasty. Context On May 18th, … Read more
How exactly can you optimize your conversions with A/B Testing? Learn lessons from companies that have emerged as shining examples of A/B testing genius.
In 2014, retail e-commerce sales during the Christmas holiday season accounted for23.4% of total annual retail e-commerce revenue and 50% … Read more
With over five years’ experience, AB Tasty’s teams have witnessed the implementation of thousands of tests, optimization ideas and ways … Read more
In digital marketing, you should always aim for the best user experience. Don’t put up with status quo – every … Read more
Companies often opt for one or the other of these tests without realising the benefits of using them together. Given … Read more
How long should an A/B test last before you can draw conclusions from it? At what point can you end a test that appears to be yielding results?
The independent business software review site TrustRadius publishes today its very first Buyer’s Guide to A/B Testing Software, in which … Read more
If you’re familiar with A/B testing, you know that you should base it on data. However, this quantitative statistical data is just one part of the equation. In order to get a true understanding of the behaviour of your users and choose the most relevant tests to set up, you must use qualitative data.