Tag Archives: Web Analytics

None Is Not An Option!

“None” is a telling symptom of a problem and “None is Not an Option” encapsulates an approach to diagnosing and resolving the problem. When reports are designed such that None is Not Option and “None” appears in a report, it becomes an important tool for diagnosing the problem. The resulting reports not only cover all user behaviors but with discipline allow the reports to address multiple questions and with extra diligence support multiple actions.
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Cloud Computing: 3 Reasons Why Analytics Should Care

From my blog analytics, I can actually see the eyes rolling as my audience quickly skirts my Cloud Computing posts to go to the old stuff (back when I was funny). In some ways I understand the ambivalence but I will give you three reasons to reconsider that ambivalence. As you may be aware, I am not big with posts that give lists of simple answers that can be quickly absorbed and just as easily forgotten. In this case will make exception and try not to spin the topic into simplistic babble. Continue reading

Posted in Technology, Web Analytics | Tagged , , , , , , , , , , , , , , , , , , , | 3 Comments

Clouds of Hadoop

We have been living in the age of Hadoop. I know this for certain because Yahoo! has recently announced it’s commitment to making Hadoop a commercial platform. Yahoo! has nearly a perfect record of picking winning technologies that have already crossed the finish line.
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Segment or Die: The Mechanics of Segments

If you have not yet discovered that segments are the life blood of analytics then consider the following as a quick review of how segmentation is used to convert measures into actionable insights. In part 1 I deal with the basic survival skills of segmentation analysis. I use the much maligned and debated bounce rate metric to illustrate the mechanics of segmentation. For all others you treat this as a quick review before we get to the hard stuff. Continue reading

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Segments, Segments Everywhere

“But not a one I can use.” This is likely a conversation that still takes place today between marketing and analytics. Indeed it is likely that of all things in web analytics, segments and the different ways segments are used is the most confusing aspect. Everyone uses the term in different disciplines assuming that the other understands exactly what she or he means. They don’t! 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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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

Posted in Fundamentals, Measures & Metrics, Methodology | Tagged , , , , , , , , , , , , , , , , | 3 Comments

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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