Data Collection in Multivariate Testing

There are two main design approaches used in multivariate testing: full factorial and fractional factorial. Before you get too far in planning your multivariate testing, you’ll need to understand the advantages and disadvantages…
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Tuning Multiple-Page Conversion Flows

Much of the attention in website conversion optimization is on testing and tuning individual landing pages. However, there are many online campaigns that require a visitor to pass through a series of pages…
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Multivariate Testing: Parametric Data Analysis

The purpose of multivariate testing is to simultaneously gather information about multiple variables, and then conduct an analysis of the data to determine which recipe results in the best performance. Multivariate data can…
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What Do Your Visitors Want to Do?

Digital marketers are consumers and end-users, too. Why then is it so difficult for us to understand what our online visitors are trying to accomplish on our websites?  Most of us forget what…
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Multivariate Test Construction

There are two primary types of multivariate test designs: unconstrained designs and constrained designs. Let’s discuss these further. Unconstrained Designs Unconstrained design test variables can be created and displayed independently of each other…
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Which Brain Is Your Website Selling To?

Most people would like to believe that they make decisions based on the careful, deliberate processing of information. But the truth is, for all its complexity, the human brain seems to have a…
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