Web Metrics on Frozen Kindle 3 post

One week ago, I posted on my experience contacting Amazon.com tech support regarding a frozen Kindle 3.  The following are a bunch of metric analytics I'll use to describe my post 7 days old.  Note: I am using this as an example of what I can figure out now on any post I put on this blog.

There are some interesting market research and intelligence I am figuring out  about users around the world who hit my post.  For example, understanding what keywords people are searching for helps develop better content.  I can also get leads on companies looking for data center content and how much interest there is in content in different geographic locations.

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First after 7 days, if you Google search "frozen Kindle 3" my blog post my post shows up #1.

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Here is the traffic through Feedburner for the post.  311 feed readers and 106 clicks back.  Nothing particularly big.

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Going to Google Analytics, here is the traffic over the past week. 

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There were 897 views with average time on page of 4:49 which means a lot of people were taking time reading and referencing the post as they were trying to fix their Kindle 3.  The bounce rate is 96.14% as the readers didn't have an in interest in green data centers, but it was since to know that 3.86% read something else on my blog.

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Looking at the keywords typed in Google Search here are the top 15.  The #1 entry is the 106 unique page views that came from the same 106 reported in Feedburner for clicks to content based on my RSS subscribers.  #2 and on are the order in frequency of page views from keywords typed in that users eventually clicked on my post. 

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The list of keywords goes up to 241 down to one click entries.

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There are a total 45 countries who have used Google Search to find the post.  The following are top 10.

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138 regions.

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To get more specific here are the top 10 out of 500 cities.

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There are 391 service providers listed including amazon, RIM,

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What type of users are the Kindle 3 user base?  Windows, Mac, Linux.  Here are the top 13 which should work as a pretty good sample to figure out a user mix and there other devices.  Note the # of Apple users - Mac, iPhone, iPad, and iPod.

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And the browser mix illustrates the Apple loyalists with the high Safari hits.

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And, what search engines did people use. My Microsoft friends ask why I don't use Bing more.  well when more than 95% of my search traffic comes from Google, I keep to the same mindset of my users.

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I'll write about analytics on a green data center technical topic.  But, the main one I am studying is the 2,000 hits I have on the Top 5 data center construction companies.  I am quite surprised at how much traffic I get to that post, and how it stays up there in traffic.