Click Analytics: Why Every Click Counts

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Click Analytics: Why Every Click Counts

  1. 1. Tabatha Farney Assistant Professor University of Colorado at Colorado Springs
  2. 2.  Click Analytics [klik an-l-it-iks] :  a specific metric that interprets web site use by studying clicks on a web page
  3. 3.  1. Visualize your web site’s usage  2. Create easy to interpret reports  3. Test what works/what doesn’t work
  4. 4. And so on…
  5. 5. Analytics
  6. 6. • Site Overlay - loads a web page and then overlays it with click data for links* on that page
  7. 7. Pros Cons • FREE • Fairly easy to use • Must archive old designs • NO export functionality • Doesn’t (easily) track outbound links • Not easy to segment data Conclusion • Must use hacks to really make it useful.
  8. 8. Crazy Egg
  9. 9. • 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
  10. 10. Pros Cons • three different tools/views • Easy to archive • Easy to segment data • Fee based • Limited export functionality Conclusion • A worthy investment, but is not a complete web analytics package.
  11. 11. Piwikwith ClickHeat
  12. 12. • Heat Map - clicks are represented by intensity of color
  13. 13. Pros Cons • FREE • Open Source (customizable) • Real time data • ClickHeat must be added to PiWik installation • NO export functionality • No segmentation of data • Slows down web page Conclusion • Not as robust as Crazy Egg, but it offers a more rounded web analytics package.
  14. 14.  Supplement to web analytics  Does NOT replace usability testing
  15. 15. Google Analytics http://www.google.com/analytics/ Crazy Egg http://www.crazyegg.com/ Piwik http://piwik.org/ LabsMedia’s ClickHeat http://www.labsmedia.com/clickheat/index.html
  16. 16. 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.
  17. 17. 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

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