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Click Analytics: Why Every Click Counts

Click analytics provide crucial insights into how users interact with a website by tracking clicks on various elements. This metric helps visualize site usage, create interpretable reports, and test functionalities to identify effective strategies. Tools like Crazy Egg and Piwik offer features such as site overlays, heat maps, and confetti views that visualize click data. While these tools supplement web analytics, they do not replace usability testing. This guide explores the functionality, pros, cons, and conclusions on utilizing click analytics for improving website performance.

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Click Analytics: Why Every Click Counts

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  1. Tabatha Farney Assistant Professor University of Colorado at Colorado Springs Click Analytics:Why Every ClickCounts

  2. Click Analytics [klik an-l-it-iks] : • a specific metric that interprets web site use by studying clicks on a web page

  3. 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.

  8. Crazy Egg

  9. 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

  10. Pros & Cons • Conclusion • A worthy investment, but is not a complete web analytics package.

  11. Piwik withClickHeat

  12. Click Analytics Functionality • Heat Map - clicks are represented by intensity of color

  13. Pros & Cons • Conclusion • Not as robust as Crazy Egg, but it offers a more rounded web analytics package.

  14. Conclusions • Supplement to web analytics • Does NOT replace usability testing

  15. 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

  16. 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.

  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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