Category Archives: Web 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
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
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.
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
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
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
Voice of Customer Analysis: UPDATE At the same time I interviewed Eric, he was also doing a pod cast with Beyond Web Analytics, which is now available at Voice of Customer with Eric Feinberg. This gives a great introduction to … Continue reading
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