Portland Community College | Portland, Oregon

Internal traffic

Sample analytics chart

Sample traffic chart

Who are these people that visit our site? How many are there? Where do they come from? What are they looking for? There are lots of questions – some easier to answer then others. By looking at our internal traffic statistics, we can better understand and serve our visitors.

Note that we don't track any uniquely identifiable information, just trends over time. Your secret identity is safe from us.

Site-wide analytics

We use Google's powerful analytics tool to view charts and graphs on visitor segmentation, location, browser types, navigational routes and many other important areas. Goals can be set to track specific funnel navigation. If you're a content manager for a site within the pcc.edu domain, you can contact the web team to request access to Google Analytics.

Server logs

For the web team, server logs are the purest form of raw data. Every time a a request is made for a file (such as a web page), our servers log a record of it. We started compiling monthly queries of the server logs in 2000. Dive in and grab some server log data.

Search reports

Starting in 2006, we switched from a hosted search to an in-house supported google mini server. We use it to provide search over the public site. It provides us with detailed logs and reports about how users are searching the website. This information is vital for evaluating site architecture and labeling terminology.

External ranking

Ranking statistics

Are we popular? It may seem like a shallow question, but when it comes to the Internet, popularity is very important. We need to ensure that our users can find us. Search engine ranking ensures this is possible. There are many tools available to evaluate popularity and ranking, but none are perfect. They should be only be use to indicate trend.

Alexa is a basic analytics tool that shows ranking. See how PCC ranks according to Alexa.
Google Trends
Rather then looking at hit statistics, Google Trends evaluates search terms over time. For instance, are people searching for the word "college" or "university"? See the trends when "portland community college" was placed along side the names of some other local colleges.