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Multivariate testing refers to a situation where you make several changes on your web pages at the same time, and then test the different versions against one another.
This is clearly more complex and involved than running simple back to back tests, because every alteration that you make between pages is going to be a factor that contributes to the popularity (or lack of popularity) of any particular page.
Whilst split testing can be done in a reasonably effective way manually, it is almost totally impossible to run any kind of meaningful multivariate testing campaign without software that will enable you to do so.
Given the relative complexity of analyzing the results from using multivariate testing methodology, it is perhaps no surprise that a lot of the commercially available software is relatively expensive.
For example, a sophisticated program like Kaizen Track will take care of almost every aspect of testing and tracking for you, but it will do so at a price that might be beyond the pocket of many online businesses or internet marketers.
And a perhaps more surprising thing is that you do not need to buy complex or expensive software at all. There is an excellent program that will allow you to run and track multivariate testing campaigns available for free.
When we were looking at back to back split testing, we focused on modifying only one aspect of your page. Whilst this makes such a testing program relatively simple, it also tends to ignore one very basic idea about people who visit your webpage.
This is the fact that all website visitors take in the total experience of landing on any particular webpage, and they do not focus on one specific area of the page. A the same time, research has shown that most web site visitors will leave within a few seconds unless they find a compelling reason to stay on the page that they have just arrived at.
This is the reason for multivariate testing, because once you accept that a webpage is viewed as a whole, rather than a series of component sections, then it becomes clear that testing complete web pages against each other should be your primary consideration.
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