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During discovery, we review the baseline analytics to look for potential problem issues. We then collaborate with the analytics team to conduct the goals analysis, connecting high-level user and business goals to measurable user behaviors. During design, we collaborate with the optimization team to identify and generate design variants for A/B and multivariate testing. And then post-launch, we supplement analytics data with user surveys and usability testing, providing the "why" for the "what." Then we repeat steps one through four.

What I want to develop is a web analytics maturity model encompassing the most important factors of success, basically, the Critical Success Factors of web analytics.

One of the most important things about improving is making it a way of life, so that it happens over and over. What's keeping you from using analytics to optimize your marketing?

Thank you pages typically don't receive much design or marketing attention. After all, by the time a site visitor sees a Thank You page the chase is over, right? The visitor purchased a widget, filled out the signup form, or downloaded a white paper - in other words, the web site has won, and another conversion stat has been chalked up in the company's analytics package. Success! Check out our positive ROI!