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2013•Library Technology ReportsRequires access

Chapter 1: Introducing Google Analytics for Libraries

Tabatha Farney, Nina McHale

Open publisher page 5 citations

Abstract

Google Analytics continues to evolve into a more robust web analytics tool, and libraries must stay informed on these developments to get the most out of the tool. Chapter 1 of Library Technology Reports (vol. 49, no. 4) “Maximizing Google Analytics: Six High-Impact Practices” introduces the high impact practices essential to Google Analytics and provides a brief history of the tool to show how it has developed since first launched in 2005. The authors share the benefits and limitations of Google Analytics and conclude with additional resources to help libraries maximize usage.

About this research paper

What this paper is about

Google Analytics continues to evolve into a more robust web analytics tool, and libraries must stay informed on these developments to get the most out of the tool. Chapter 1 of Library Technology Reports (vol. 49, no. 4) “Maximizing Google Analytics: Six High-Impact Practices” introduces the high impact practices essential to Google Analytics and provides a brief history of the tool to show how it has developed since first launched in 2005. The authors share the benefits and limitations of Google Analytics and conclude with additional resources to help libraries maximize usage.

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OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Google Analytics continues to evolve into a more robust web analytics tool, and libraries must stay informed on these developments to get the most out of the tool. Chapter 1 of Library Technology Reports (vol. 49, no. 4) “Maximizing Google Analytics: Six High-Impact Practices” introduces the high impact practices essential to Google Analytics and provides a brief history of the tool to show how it has developed since first launched in 2005. The authors share the benefits and limitations of Google Analytics and conclude with additional resources to help libraries maximize usage.

Key concepts: Analytics, Web analytics, World Wide Web, Data science, Computer science, Software analytics, Cultural analytics, Semantic analytics

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