Chapter 2: Getting to Know Web Analytics
DOI:
https://doi.org/10.5860/ltr.47n5Abstract
This chapter of Using Web Analytics in the Library provides guidelines for selecting and implementing web analytics tools in a library context. The author examines different variables that determine which tool might be appropriate and offers suggestions determining which tools meet different needs.
References
Avinash Kaushik,
Web Analytics: An Hour a Day
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Web Analytics,
n“About Cookies: Are All Cookies the Same?” www.allaboutcookies.org/cookies/cookies-the-same.htmlnSebastian Tonkin, “Top Ten Myths about Google Analytics,” May 28, 2009, Google Analytics blog, http://analytics.blogspot.com/2009/05/top-ten-myths-about-google-analytics.htmlnJason Burby, Angie Brown, and WAA Standards Committee,
Web Analytics Definitions
(Washington DC: WAA, Aug. 16, 2007), as quoted in Avinash Kaushik, “Web Analytics Standards: 26 New Metrics Definitions.” Occam’s Razor, Aug. 23, 2007, www.kaushik.net/avinash/2007/08/web-analytics-standards-26-new-metrics-definitions.htmlnAvinash Kaushik, “Standard Metrics Revisited: #2: Top Exit Pages,” Occam’s Razor, Dec. 27, 2006, www.kaushik.net/avinash/2006/12/standard-metrics-revisited-top-exit-pages.htmlnBrian Clifton,
Advanced Web Metrics with Google Analytics,
nd ed. (Indianapolis, IN: Wiley Publishing, 2010), 6.nKaushik,
Web Analytics,
nClifton, Advanced Web Metrics, 11.n
