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Analyzing Blog Activities – January 2010

I’ve decided to do various experiments to see the true affect of certain actions on a live blog. Having read a number of guides, reports and pro-blogger’s advice I felt it was time to put it all into practice and see the outcome first hand.

Point I

One of the main advice given in many a guides/reports is to blog consistently on a regular basis – as this is what drives traffic to a website/blog. So for this month (January) I decided to experiment on this by posting very little in way of blog posts.

Response codes (also called status codes) are the coded results of a server’s attempt to understand and satisfy a request. Web server responses indicate whether a Web object (Web page, graphics file, CGI script, etc.) was successfully retrieved or executed and, if not, the reason for the unsuccessful result. Unsuccessful results are also referred to as server error codes.

Log files record these codes, and the Visitor Statistics tool includes a report on them.

The following codes are some of the most common responses:

* Code 200 – OK: The request was fulfilled. The Web page was successfully downloaded without error.

This is the second part of a 3 part posts – if you have not read the first part please do so in order to understand and follow the flow of the topic. Click here to read “Understanding Web Statistics” part I – opens in a new window!

Visitor Statistics tools tracks the following information about visitor activity (usage) on your site: files, hits, kbytes, pages, referrers, response codes, unique search strings, sites, unique URLs, unique user agents, usernames and visits.

7 Easy Steps To Understanding Web Statistics

Understanding what your visitors do on your site is crucial information.  If your visitors proceed to purchase a product but then a large majority leaves the site when they get to a specific page in the order process, you need to know about it. It could be that this page is confusing or hard to use. Fixing it could increase your sales by 200%. This is just an example; there are many reasons why you want a detailed analysis of your site visitors.