Interactive Feed Analysis of Your FeedBurner Feeds

By Posted 2007 Updated   BloggingSite News

A new tool called Feed Analysis v1.0 from BlogPerfume provides bloggers with interactive statistics charts of their feedburner feed data to help them understand and analyze their feed traffic better. It is a good idea you test run the tool yourself. See what I found for our site…

Interactive Feed Analysis

By the use of Feed Analysis, the number of subscribers for each month is neatly shown on the column chart. You can also view the number of subscribers, hits, views and clicks for every single day from the line chart. Of course, the best/worst day of the week is also available which is displayed on the pie chart.

To get started – Login to your Feedburner Account, select the feed, then export your feed stats by clicking on Export: “CSV” and save it to your computer. on your hardisc (With MAC, use: Save As – “CSV for Windows” ). Then upload your .csv file in the form on the tool.

My main concern was should I share my private feed statistics with a third party tool. But their FAQ clarified that they do not store any such data on their servers and analyze data on the client side. Hence, all data will be cleared once you close your browser window. Also note that the exported .csv file does not contain any data about yourself or your site.

Our Feedburner feed analysis

I checked my Feedburner feed analysis with the tool and got some cool data.
Estimated 1 Banner Ads Value: $669 / month! (is that too high?)
Estimated Blog Worth: $40,155 – $80,310! (that is a huge range!)
* Best Day of A Week: Monday (Agreed)
* Worst Day of A Week: Saturday (Maybe Sunday?)

Then an analysis of the subscriber base is predicted –
* Growth Rate (Last Month): 4.90%
* Average Subscribers (Current Month): 13,385
* Predicted Subscribers After 3 Months: 15,450
* Predicted Subscribers After 6 Months: 17,833
* Predicted Subscribers After 12 Months: 23,759 (after 1 long year!)

Our Feed Analysis Statistics

Now that chart reveals some interesting feed data over the years. In case you are wondering how the feed count doubled in February, it was because Google data became available to Feedburner.


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