A clear definition of what multivariate testing is and how it differs from another common type of testing: A/B testing. How testing provides a foundation for continuous improvement of your Web ...

As Web marketers seek new ways to boost conversion rates and improve their mobile visitors' site experience, interest in mobile multivariate testing is on a feverish rise. But those unfamiliar with ...

Less than a quarter of marketers are satisfied with the conversion rates they achieve today. Peter Jobes shows the many ways how A/B and multivariate testing can open a window of conversion ...

We all know that A/B and multivariate testing is important for successful landing pages, but did you know that these testing methods started back in the 1700’s with the answer for scurvy? It’s time ...

In my previous article, I looked at defining your success goals and what to measure when running multivariate tests. Let's now look at your site factors and learn how to select the right ones to test.

The first time I had to create a landing page, I spent endless hours editing and tweaking. “Was the copy the most persuasive it could be? Does my form have too many fields? Does it have too few? Is my ...

Multivariate testing, with its many combinations, creative needs, and more demanding implementation, is a great place for larger organizations to implement more rigorous processes. Testing helps build ...

Maxymiser’s Mark Simpson is to reveal how the company’s multivariate testing system delivered a 13% increase to LOVEFiLM’s online customer conversion figures. Speaking at next week’s Internet World ...

This sponsored post is produced in association with MailChimp. If you’re buying a new car, you don’t just walk into a dealer and open up your checkbook when you see a vehicle that has a pretty color.

Split testing is an important marketing tactic in which you compare two versions of something to figure out which is better. For example, testing two sales scripts might show that one if far superior ...

Multivariate statistical inference encompasses methods that evaluate multiple outcomes or parameters jointly, allowing researchers to understand complex interdependencies within data. Permutation ...

Multivariate normality testing plays a critical role in modern statistical analysis by evaluating whether a multivariate dataset conforms to the assumptions of a normal distribution. Such assessments ...