Web Analytics 2.0: The Art of Online Accountability and Science of Customer Centricity
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Web Analytics 2.0: The Art of Online Accountability and Science of Customer Centricity

In my career I have developed a bias toward indexed scores because I have found that when people know the upper and lower limits, they can more quickly internalize the data. BEI does this by using a scale of 0 to 100. All in all, the Weighted Mean methodology also helps accomplish our purpose. You can use the methodology that best suits your unique
... See moreOnline we may be able to use predictive analytics to mine years of data to predict when a particular customer may buy next, to predict the behavior of paid search visitors over the next 12 months, or to predict which prospect we can best target via a specific online channel. In this segment I’ll cover that last type of predictive analytics.
A quick glance at job boards shows that data plays an increasingly important secondary role in traditional non-analyst roles, such as marketers, site owners, and campaign optimization specialists.
measure the impact on your business of the traffic that comes from organic search (from all search engines),
there a difference in internal site searches done by Visitors from yahoo.com vs. those from google.com?
Look at two reports: Referring URLs and Search Keywords. You will almost always be surprised at how people find you.
There is an entry in your log file (weblog or JavaScript tag—it does not matter) that would read, “Someone has requested the website home page file at 10:00.”
you have 90 percent confidence in the data, then make a decision. Don’t
The benefit of comparing segmented trends is that instead of figuring out which of 1,800 variables is causing an impact, you can identify and then investigate just a few relevant variables.