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Click Analytics: Why Every Click Counts

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Click Analytics: Why Every Click Counts Presentation Transcript

  • 1. Click Analytics:Why Every ClickCounts
    Tabatha Farney
    Assistant Professor
    University of Colorado at Colorado Springs
  • 2.
    • Click Analytics [klik an-l-it-iks] :
    • 3. 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
  • 4. Examples
    And so on…
  • 5. Analytics
  • 6. Click Analytics Functionality
    • Site Overlay - loads a web page and then overlays it with click data for links* on that page
  • 7. Pros & Cons
    Conclusion
    • Must use hacks to really make it useful.
  • Crazy Egg
  • 8. Click Analytics Functionality
    • Site Overlay –tracks all clicks on a web page
    • 9. Confetti View – clicks are represented as dots on a web page
    • 10. Heat Map – clicks are represented by intensity of color
  • 11.
  • 12.
  • 13. Pros & Cons
    Conclusion
    • A worthy investment, but is not a complete web analytics package.
  • Piwik
    withClickHeat
  • 14. Click Analytics Functionality
    • Heat Map - clicks are represented by intensity of color
  • 15. Pros & Cons
    Conclusion
    • Not as robust as Crazy Egg, but it offers a more rounded web analytics package.
  • Conclusions
    • Supplement to web analytics
    • 16. 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
  • 17. 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.
  • 18. ?
    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