Urchin WebAnalytics Software is discontinued and is no longer supported. All Urchin documentation applies only to the Urchin product as it was at the time of discontinuation, and does not apply to any Google Analytics products or services.

Understanding Average Score

Understanding Average Score

Some Urchin reports include the Average Score metric. Average Score is a way of determining which pages are most valuable. It is not useful by itself, rather it is a way of comparing pages and links on your site. Those pages with highest scores are those which were most visited by visitors who later during their visit converted to high value goals.

Average score for a page is calculated as follows:

Total Value of Conversions Subsequent to Page Visit / Total Number of Page Views


Imagine ten visits to your site which result in one conversion for a total value of $100. Five visits take the following path:

Homepage --> page A --> Goal page with a value of $100.

The other five visits take the following path:

Homepage --> page B --> exit site

The average score of each page would be:

Average Score of homepage = 50 (= 5 subsequent conversions * $100 / 10 total page views) Average Score of page A = 100 (= 5 subsequent conversions * $100 / 5 total page views) Average Score of page B = 0 (because no goals were reached)

Average Score may be calculated from goals or e-commerce

Urchin calculates average score from both e-commerce and goal conversions. For e-commerce, the conversion value used to calculate average score is taken directly from transaction revenue. For goals, Urchin calculates average score using the values you assigned to your goals.

Clear search
Close search
Google apps
Main menu
Search Help Center