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 ...
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 ...
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 ...
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.
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 ...
Interest in multivariate testing (MVT) is now growing at an accelerating rate, with many organisations announcing firm intentions in this area. While three years ago, MVT was new to the UK market and ...
Appboy, a marketing automation platform for mobile apps, announced new multivariate testing capabilities designed to help marketers test variations of headlines, copy and content on multiple messaging ...
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.
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 ...
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 ...
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