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Click Analytics: Why Every Click Counts

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    Click Analytics: Why Every Click Counts Click Analytics: Why Every Click Counts Presentation Transcript

    • Click Analytics:Why Every ClickCounts
      Tabatha Farney
      Assistant Professor
      University of Colorado at Colorado Springs
      • Click Analytics [klik an-l-it-iks] :
      • a specific metric that interprets web site use by studying clicks on a web page
    • Resons for Click Analytics
      1. Visualize your web site’s usage
      2. Create easy to interpret reports
      3. Test what works/what doesn’t work
    • Examples
      And so on…
    • Analytics
    • Click Analytics Functionality
      • Site Overlay - loads a web page and then overlays it with click data for links* on that page
    • Pros & Cons
      Conclusion
      • Must use hacks to really make it useful.
    • Crazy Egg
    • Click Analytics Functionality
      • Site Overlay –tracks all clicks on a web page
      • Confetti View – clicks are represented as dots on a web page
      • Heat Map – clicks are represented by intensity of color
    • Pros & Cons
      Conclusion
      • A worthy investment, but is not a complete web analytics package.
    • Piwik
      withClickHeat
    • Click Analytics Functionality
      • Heat Map - clicks are represented by intensity of color
    • Pros & Cons
      Conclusion
      • Not as robust as Crazy Egg, but it offers a more rounded web analytics package.
    • Conclusions
      • Supplement to web analytics
      • Does NOT replace usability testing
    • Resources Used
      Google Analytics
      http://www.google.com/analytics/
      Crazy Egg
      http://www.crazyegg.com/
      Piwik
      http://piwik.org/
      LabsMedia’sClickHeat
      http://www.labsmedia.com/clickheat/index.html
    • Great Reads
      Arendt, J. & Wagner, C. Beyond description: Converting Web site
      usage statistics into concrete site improvement ideas. Journal of Web Librarianship, 4(1), 37-54. doi: 10.1080/19322900903547414
      Black, E. Web analytics: A picture of the academic library Web site user. Journal of Web Librarianship, 3(1), 3-14. doi: 10.1080/19322900802660292
      Clifton, B. (2008). Advanced Web metrics with Google Analytics. Serious skills. Indianapolis, Ind: Wiley Pub.
      Fang, W. (2007). Using Google Analytics for improving library Web site content and design: A case study. Library Philosophy and Practice, (Special Issue on Libraries and Google) http://www.webpages.uidaho.edu/~mbolin/fang.htm
      Kaushik, A. (2010). Web analytics 2.0: The art of
      online accountability and science of customer centricity. Indianapolis, Ind: Wiley.
    • ?
      Questions/comments?
      “Um, yes…I have a question.” LOL Cat, http://i16.photobucket.com/albums/b24/going_x_crazy/macros/kat%20macros/cat_question2.jpg