Tag Archives: LinkedIn

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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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

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

Posted in Methodology, 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

A Day Being Mark

What is it like to get into the mind of an author that has the unique and superlative ability to illustrate complex technologies in their simplest form – the “Hello World” of Web 3.0 artificial intelligence. A review of “Scripting Intelligence, Web 3.0 Information Gathering and Processing” by Mark Watson from APress. Continue reading

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How Web Analytics Sees Reality

A question on Web Analytic Association Group got me dusting off old proxy server code to see what is happening. How do we track the various plug-ins and mashups that are driving Web 2.0 push for personalization and social media? Can your web analytic tools see the revolution as it is happening? Continue reading

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