Tag Archives: Google Analytics

Recognizing Paradigm Shifts Towards Maturity

Once getting an operation such as Web Analytics up and running, humming along, and then realizing it must all change because of a “paradigm shift” can be traumatic but in our business not unexpected. This blog examines one teachable moment in this writer’s experience, and he came to view these shifts as welcomed sign post on our path to web analytics maturity and reorganized his approach in response to move to the next level. Continue reading

Posted in Methodology, Uncategorized, Web Analytics | Tagged , , , , , , , , , , , , , , , , , , | 4 Comments

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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Posted in Methodology, Web Analytics | Tagged , , , , , , , , , , , , , , , , , , , , , | 1 Comment

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

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

Posted in Methodology, Web Analytics | Tagged , , , , , , , , , , , , , , | 1 Comment

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

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

Illustration of Skirting Axioms: Unique Visitors

I have presented the 5 fundamental axioms that define web analytics in a previous blog and also have argued that analyst and tools attempt to skirt these assumptions. This provides an illustration of what can happen when a major vendor attempts to skirt one of these fundamental assumptions. Confusion ensues. Continue reading

Posted in Measures & Metrics, Web Analytics | Tagged , , , , , , , , , , , , , | 1 Comment