*** Welcome to piglix ***

Multivariate testing in marketing


In marketing, multivariate testing or multi-variable testing techniques apply statistical hypothesis testing on multi-variable systems, typically consumers on websites. Techniques of multivariate statistics are used.

In internet marketing, multivariate testing is a process by which more than one component of a website may be tested in a live environment. It can be thought of in simple terms as numerous A/B tests performed on one page at the same time. A/B tests are usually performed to determine the better of two content variations; multivariate testing uses multiple variables to find the ideal combination. The only limits on the number of combinations and the number of variables in a multivariate test are the amount of time it will take to get a statistically valid sample of visitors and computational power.

Multivariate testing is usually employed in order to ascertain which content or creative variation produces the best improvement in the defined goals of a website, whether that be user registrations or successful completion of a checkout process (that is, conversion rate). Dramatic increases can be seen through testing different copy text, form layouts and even landing page images and background colours. However, not all elements produce the same increase in conversions, and by looking at the results from different tests, it is possible to identify those elements that consistently tend to produce the greatest increase in conversions.

Testing can be carried out on a dynamically generated website by setting up the server to display the different variations of content in equal proportions to incoming visitors. Statistics on how each visitor went on to behave after seeing the content under test must then be gathered and presented. Outsourced services can also be used to provide multivariate testing on websites with minor changes to page coding. These services insert their content to predefined areas of a site and monitor user behavior.

In a nutshell, multivariate testing can be seen as allowing website visitors to vote with their clicks for which content they prefer and will stand the most chance of their proceeding to a defined goal. The testing is transparent to the visitor with all commercial solutions capable of ensuring that each visitor is shown the same content on every visit.

Some websites benefit from constant 24/7 continuous optimization as visitor response to creatives and layouts differ by time of day/week or even season.


...
Wikipedia

...