Tag Archives: axioms

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

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

Posted in Measures & Metrics, Methodology, Web Analytics | Tagged , , , , , , , , , , , , , , , , , , , | 4 Comments

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

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

Visitors vs. Visits

One would think that Visitors and the Visits they make would go hand in hand, but in some cases that is not true for many web analytic solutions. Visits or Sessions have their place in web analytics but not as prominently as one would think. Caution: This is a no spin zone! Let us take a new and honest look at this fundamental concept in web analytic analysis. Continue reading

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

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

Posted in Fundamentals, Web Analytics | Tagged , , , , , , , , , , , , , , , , | 4 Comments