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Discovering Digital Library User Behavior with Google Analytics

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Title: Discovering Digital Library User Behavior with Google Analytics
Author(s): Hess, Kirk M.
Subject(s): Web Analytics Digital Libraries Library Websites
Abstract: Google Analytics has advanced features for tracking search queries, events such as clicking external links or downloading files, which you can use to track user behavior that is normally difficult to track with traditional web logging software. By tracking behavior, you can use Google Analytics API to extract data and integrate it with data from your digital repository to show granular data about individual items. Using this information, digital libraries can learn how users use the site without extensive HCI studies, and can use this information to improve the user experience.
Issue Date: 2012-06-01
Publisher: Code4Lib Journal
Citation Info: Hess, Kirk. "Discovering Digital Library User Behavior with Google Analytics." Code4Lib Journal 18 (2012).
Genre: Article
Type: Text
Language: English
URI: http://hdl.handle.net/2142/35261
ISSN: 1940-5758
Publication Status: published or submitted for publication
Peer Reviewed: is peer reviewed
Rights Information: This work is licensed under a Creative Commons Attribution 3.0 United States License.
Date Available in IDEALS: 2012-11-27
 

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