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.

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

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

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

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.

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. 

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

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

138 regions.

 

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

There are 391 service providers listed including amazon, RIM,

 

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.

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

 

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.

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.

Comments

[rick]

interesting stuff, but I think you need to change the log scale of the dots, as they make it look like the UK has almost as many as the US. Oh and thanks for the 15s rule. It hasn't served me as well as the 10s rule yet, but it may not be long.