Tag Archives: KPI

Visits are a Wet Blanket

Beware How You Count Events! I am aware that a large segment of the HIPPO market advocate visit based metrics*, but honestly, one can get into trouble if he blindly adheres to “Visits are what count.” All I am saying is perhaps a little more thought should be taken in setting up and serializing events. Quick and non reflective solutions can truly lead to pain down the road. Continue reading

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Segment or Die: The Semantics of Segments

Here we will develop a explicit semantic model of the enterprise and how it operates within a competitive environment for customers. Then show how web analytics through segmentation analysis and customer user management (advance analytics analysis) map to this model and support in-depth analysis of customer experience. Continue reading

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Voice of Customer Analysis

Beyond Voice of the Customer analytics there is analysis. To continue the discussion on VoC I talk with Eric Feinberg of ForeSee Results about the importance of analysis in understanding how satisfaction is a leading driver of performance. Here we cut through the marketing spin to understand the ACSI Methodology and how behavioral and attitudinal analytics combine to provide predictive models of customer behavior. Continue reading

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Voice of the Customer

Can you hear them hollering . . . in your data? There is no doubt that one of the most important complementary additions to a quantitative Web Analytic view is the qualitative view from the voice of the customer. Web analytics uses conversions to measure how visitors interact with the web property. Completion of visitor tasks is just as important in understanding why visitor’s come to the site and are successful in completing their tasks. VoC offerings such as iPerceptions 4Q allow for quick and easy access to this data. The question is how to make your tasks and visitor’s tasks align for business success? Lets take a look. Continue reading

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From Worst to Best: How to Report Metrics & Measures

No issue is more controversial and yet more fundamental than visitors vs visits. Several experts have put forward strong cases for unique visitors being “the worst metric”, “wildly inaccurate”, “no basis in reality”, the methods for determining unique visitors “render the resulting numbers useless!” I have taken a fundamentally different position in what I consider my best advice to web analysis. Caught in the head lights of expert opinion, it looks like I have some “splaning” to do. So do I crash burn or do these experts even have a chance. Read on to see how I work my way out of this predicament. Continue reading

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Desperately Tracking Susan: Online / Offline Behavior

Now I realize choosing a variation on a movie title that is 25 years old (gad, has it been that long) has it’s risks. But consider a want Ad now called a tweet seeking an allusive enigmatic person, think customer, and searching here and there for Madonna, obsession with connecting online and offline behavior. It seems to capture the gestalt, wouldn’t you agree? Continue reading

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Funnels and the Paths They Make

My attitude is that funnels form a compelling prerequisite for action and should be an element of every actionable report. Let me demonstrate. But first we need to deal with the train wreck between funnels and paths in current web analytic tools. Continue reading

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The Axioms of Web Analytics

The subtitle for this is “And How Analyst and Tools Attempt to Skirt Them”. Axioms are suppose to be immutable and unchallengeable, but hey, in this day and age is there anything that does not go unchallenged. Is it possible that there is logic to Web Analytics? This argues yes – as simple as 10th grade Geometry. Continue reading

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