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Web Analytics 10/90 Rule

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According to the Web Analytics 10/90 rule, 10% of the web analytics expenditure should be on the cost of the tool and vendor professional services and the remaining 90% should be spent on Intelligent resources/analysts to get the highest value from the web analytics implementation.
The basic problems which explains the importance of 10/90 rule are:
• If our website is having many pages with many more visitors per day, the web analytics tool will give us a lot of data and it will be a very tough situation for any person who is having other professional work to understand the complexity of the interactions happening on site.
• Web analytic tools can capture all the clickstream data but they can’t make decisions based on that data. They just spew out data but it will take a lot of intelligence to analyze, understand this raw data and make decisions out of it.
• Now we live in Web Analytics 2.0 world where we need to deal not only with ‘The What’ (Clickstream of data) but also with the qualitative data, quantitative data from …show more content…

Web Analysts role can be split into the following categories:
• Multiple Outcome Analysis - Measuring outcomes are to connect customer behavior to the bottom line of the company. A website delivers three types of outcomes – Increase revenue, reduce cost and improve customer satisfaction. Everything we are doing on our website must improve these three outcomes.
• Understanding Voice of Customer - Using web analytics tool, we can only see the top viewed pages of our website but to understand the voice of customer, we need to know what the customer wanted to see in our website which our tool fails to report. To understand the customer behavior, we need to go through surveys, lab usability testing, remote usability testing, card sorts and more, to get direct feedback from customers from our

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