Initial Google Analytics web statistics review

TRIO SSP created a free Google Analytics account and began tracking stats on July 9, 2007. So, we have a good base set of customer generated statistics to work from.

How well is our content performing at this point in time?

Note: pdf samples from our tracking tool are provided for your review. From the Dashboard Overview we can see that from July 9, 07 through August 8, 07 there have been 549 visits and 803 pageviews. So, it looks like there are people visiting the site.

We can see that about 62% of our visitors are coming from search engine traffic. We might infer from this that the majority of our visitors are not familiar with the site, or have not bookmarked the location — because they would otherwise come through as direct traffic.

The bounce rate is listed as 80.69%. This seems like a high number. However, we should not correlate this number as potential customers immediately leaving the Web site — they may be following a link to another WMU Web site that does not have the traffic analysis tools installed. Otherwise said, for now, just ignore this number.

If we look at the Map detail report, we can see that the majority of our customers are coming from Michgian. However, there is some international traffic. The largest regional source is Kalamazoo, with Allendale and Pontiac following.

The Content report shows us that the home page is the most viewed page. Next is ‘staff’, ‘about us’, and resource information.

The Keyword detail report shows us that of the 62% of total web traffic originating from search engines that 151 visitors found the site by searching for ‘academic calendar’, 71 searched for ‘fye’, and 5 searched for ‘fall welcome’. Our initial impression should be that the search results are not correlating well with what content is being provided by the SSP Web site.

It is important to note that in the initial project team meeting we learned that this is not a ‘busy’ time of year for SSP. So these statistics should not necessarily be considered as representative of all anticipated traffic. We can still form some conclusions about areas to explore further:

  1. We should look closer at the keyword and search engine results to find where ‘academic calendar’ appears in the SSP Web site.
  2. We should see if the user traffic to the home, about, and staff pages correlate with the content SSP believes is most important for their customers.
  3. We should see if the geographical source of user traffic is representative of where SSP participants are located

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