University of Illinois Urbana-Champaign

Discovering Digital Library User Behavior with Google Analytics

Hess, Kirk M.

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Discovering Digital Library User Behavior with Google Analytics.pdf

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https://hdl.handle.net/2142/35261

Description

Title
Discovering Digital Library User Behavior with Google Analytics
Author(s)
Hess, Kirk M.
Issue Date
2012-06-01
Keyword(s)
  • Web Analytics
  • Digital Libraries
  • Library Websites
Date of Ingest
2012-11-27T19:21:04Z
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.
Publisher
Code4Lib Journal
ISSN
1940-5758
Type of Resource
text
Genre of Resource
Article
Language
en
Permalink
http://hdl.handle.net/2142/35261
Copyright and License Information
This work is licensed under a Creative Commons Attribution 3.0 United States License.

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