TY - JOUR
T1 - Web Analytics Reveal User Behavior: TTU Libraries' Experience with Google Analytics
T2 - TTU Libraries' Experience with Google Analytics
AU - Barba, Ian
AU - Cassidy, Dennis
AU - Medina De Leon, Esther
AU - Williams, Blair
PY - 2013/12/19
Y1 - 2013/12/19
N2 - 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
AB - 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
KW - Google Analytics
KW - Web analytics
KW - academic library Web sites
KW - user behavior
UR - http://www.scopus.com/inward/record.url?scp=84890411731&partnerID=8YFLogxK
U2 - 10.1080/19322909.2013.828991
DO - 10.1080/19322909.2013.828991
M3 - Article
VL - 7
SP - 389
EP - 400
JO - Journal of Web Librarianship
JF - Journal of Web Librarianship
IS - 4
ER -