Web Analytics Reveal User Behavior: TTU Libraries' Experience with Google Analytics

Ian Barba, Dennis Cassidy, Esther Medina De Leon, Blair Williams

Research output: Contribution to journalArticle

Abstract

Proper planning and assessment surveys of projects for academic library Web sites will not always be predictive of real world use, no matter how many responses they might receive. In this case, multiple-phase development, librarian focus groups, and patron surveys performed before implementation of such a project inaccurately overrated utility and positive impact. The Web Site Support Team of Texas Tech University Libraries conducted post-assessment usage of a locally developed reference tool using Google Analytics, which revealed a significant disparity between expectations and results. Web analytics tools, while not able to predict users' needs, are adept at describing users' behavior. This user-provided evidence is invaluable for informing the decisions that academic libraries make about their Web sites. While the initial incarnation of the reference tool failed to provide the intended service, Web analytics allowed the team to refine, modify, and integrate elements of the tool int
Original languageEnglish
Pages (from-to)389-400
JournalDefault journal
StatePublished - Dec 19 2013

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