Learn how A/B testing and multivariate testing impact SEO and 8 tips to improve your tests and processes to maximize your site's SEO performance. To be successful in SEO, we need to have an ...

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 ...

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.

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 ...

An increasing number of Web marketers are turning to multivariate testing as an effective means to determine the optimal set of content on their sites. Marketers are testing variations of everything ...

If you were going to send the first OkCupid message to a potential date, how many versions would you come up with? And how would you test to see which one was the best one? Fortunately, there is no ...

With e-Commerce becoming such an essential piece of today’s retail puzzle, web designers and marketers alike must ensure that their online experiences are not just optimized but customized for each ...

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 ...

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 ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Engagement, revenue, loyalty. These are concepts not normally associated ...

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 ...