Paras Chopra is founder of Visual Website Optimizer, the world’s easiest A/B testing tool. Used by thousands of companies worldwide across 75+ countries, it allows marketers and designers to create A/B tests and make them live on websites in less than 10 minutes.
Paras Chopra goes into the technical details of multivariate testing. Get to know the types of multivariate tests, the do’s and don’ts and more!
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The attention span on the Web has been decreasing ever since Google had arrived and changed the rules of the game. Now with millions of results available on any topic imaginable, the window to grab a visitor’s attention has decreased significantly (in 2002, the BBC reported it is about 9 seconds). Picture yourself browsing the Web: do you go out of your way to read the text, look at all the graphics, and try to thoroughly understand what the page is about? The answer is most likely to be a straight “no.” With bombardment of information from all around, we have become spoiled kids, not paying enough attention to what a Web page wants to tell us.
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Recently, A/B testing has come under (unjust) criticism from different circles on the Internet. Even though this criticism contains some relevant points, the basic argument against A/B testing is flawed. It seems to confuse the A/B testing methodology with a specific implementation of it (e.g. testing red vs. green buttons and other trivial tests). Let’s look at different criticisms that have surfaced on the Web recently and see why they are unfounded.
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A/B testing isn’t a buzz term. A lot of savvy marketers and designs are using it right now to gain insight into visitor behavior and to increase conversion rate. And yet A/B testing is still not as common as such Internet marketing subjects as SEO, Web analytics and usability.
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