Web Analytics 2.0: The Art of Online Accountability and Science of Customer Centricity
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Web Analytics 2.0: The Art of Online Accountability and Science of Customer Centricity
The folks who create dashboards live in a silo. They rarely go out and collect enough tribal knowledge to fully grasp the organizational actions behind the trends and patterns observed in the data being reported.
This is because people all tend to search differently; for example, what I type to find snack foods might be different from what you type. Hence, key phrases rather than keywords will appear with only a few visits.
Web data is almost completely anonymous, usually incomplete, and highly unstructured. These issues can severely compromise your ability to deliver insights from traditional data mining and predictive analytics approaches.
Have you doubled the team? Do you have free shipping this year? How much did you spend on AdWords or affiliates in each year? Did you kick off any optimization efforts? How much
That’s because member behavior after they join is what adds value to the
Focus your PPC efforts on monetizing the long tail. It is difficult to rank high in search results for category terms that apply to many companies and websites.
You can also do additional analysis in SbKT, such as identify keywords below a certain cost or keywords in specific categories or keywords for specific brands. For a more detailed tutorial on how to use SbKT, please visit http://zqi.me/sbktak.
When you present data, you need to change the focus from silly, unactionable aggregated numbers like Visits or Average Page Views per Visitor and instead highlight key sources of traffic.