I selected this User Science Journal blog (http://responserequest.com/branchb/) for my first analytics experiment, because I have the ability to add analytics and make changes at will.
Adding the Analytics
Adding analytics to this WordPress blog was relatively simple process. All that was needed was adding the scripts generated by Google Analytics to the site’s header, which is located in the settings. Scripts can also be added to the header of individual pages that are being tracked.
I made the following assumptions about this site prior to data collection with Google Analytics and will explore whether they are supported by the data in this article.
- The majority of users hail from the U.S. and more locally the Seattle area.
- The majority of users will enter the site from the home page.
- The home page is the most popular, because it is a blog and all of the content is available in a continuous scroll.
Preliminary Findings from Data Collection
Overview of all sessions on this site during the collection period Aug 1 to Aug 7.
The majority of users hail from the U.S. and more locally the Seattle area.
As predicted the majority of the users were from the U.S. It is interesting to note, however, that there were international users from both Iraq and India.
Also as predicted the majority of users were located in the Seattle area or in nearby northwest.locales. It was surprising that the 2nd most common “city” was from users not sharing city location at all.
The majority of users will enter the site from the home page.
The home page is the most likely entry point or landing page for users and this was supported by the data collection. Out 18 total sessions, 13 began on the home page, responserequest.com/branchb/.
The home page is the most popular, because it is a blog and all of the content is available in a continuous scroll.
As well as being the most common landing page, the “User Science Journal” home page was also the most popular among users with 34 page views out of 46 total views. Users spent an average time of 01:54 on this page.
Out of Curiosity
I also examined data grouping channel types. The majority of traffic came from a direct source, which would be consistent with my contacts who clicked through a link I sent to them via email. Others came via a link I shared on social media (Facebook).
The remainder came from referral sources I didn’t recognize. Here is a more detailed view.
My preliminary findings, using the data collected with Google Analytics, support all pre-evaluation statements.
I also discovered that, although the majority of traffic came from sources I generated through my personal contacts, 16.67% of traffic was referred by other sources.