Web server statistics/analytics
for MU Extension and continuing education web servers
Urchin analytics software
You may create analytics reports from Web server logs since January 2005 using Urchin.
regularly use Web statistics, please bookmark this page, which is accessible
using your pawprint and password. Because Urchin cannot be accessed using your
When you log in to Urchin,
you will see a list of websites.
1. Choose a website
(extension.missouri.edu is #11 -- click Next to get to it).
2. On the left, choose the type of report
you want and the date range you want the report to include.
To quickly get to
county website stats:
Click “Next” at the bottom of the list of websites.
Click on “11. Extension.missouri.edu”
On the left side, click on “Content optimization”
Then, “Content Performance”
Then, “Top content”
You’ll see a pie chart and above it there is a text box with the label “Filter”
In there, type or paste your website name, like this: /Lafayette/
Click the + (you may have to click it twice)
This will show you the stats for all the pages in /Lafayette/
On the left you can change the date range. The larger the date range, the
longer it will take to create the report.
click Directory Drilldown -> Directory by Pages
Drilldown then type your county folder name (e.g. stcharles) in the "filter"
field at the top of the screen
and hit enter on the keyboard.
Then click on the folder next to the name to expand the stats for the county
For an overview on using Urchin
reports, visit Urchin Reporting Help.
To go to another county, click on Directory by Pages Drilldown again and
type another county folder name in the filter box.
ETCS will continue to create
Annual Summary Reports
MU Extension website
MU Extension publications
MU Direct website
MU in the Evening website
MU Conference Office website
Export Readiness Program website
Environmental Quality website
School Mental Health website
Soil Plant Lab website
Food Law Website
Labor Ed Website
A request occurs when a web server is asked to provide a page, graphic or other object. This is frequently called a Hit. Requests may be generated either by visitor going to a page or by the page itself requesting an object (usually a graphic). Using the number of requests to gauge the popularity of a site can be misleading because pages with lots of embedded graphics can generate many more requests than sites with simpler graphics. For that reason, the number of visits or the number of HTML page requests will probably give a more accurate activity picture.
A visit is a collection of requests that represent all the pages and graphics seen by a particular visitor at one time. For example, a visitor to your site may go to 10 HTML pages and indirectly request 25 graphic elements. Those 35 requests represent one visit. The total number of visits is usually more than the total number of visitors because each visitor can visit the site more than once. Visits are just estimates because there is no way to be certain that a series of requests actually belongs to the same person, or, for that matter, to the same person during the same visit. Hit List determines visits based on several factors including IP addresses, cookies and the delay between consecutive requests.
A visitor is usually defined simply as a unique IP address. A particular IP address may represent a unique person but, more often, one IP is shared by many people. If your site uses persistent cookies to better identify people, Hit List can also produce reports that calculate visitors based on a combination of unique IP addresses and cookies.