Post on 19-Dec-2015
Click Analytics:Why Every Click Counts
Tabatha FarneyAssistant ProfessorUniversity 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 & ConsPros 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.
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 & ConsPros 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.
Piwik with ClickHeat
Click Analytics Functionality• Heat Map - clicks are represented by
intensity of color
Pros & ConsPros 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 pageConclusion• 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 UsedGoogle Analyticshttp://www.google.com/analytics/
Crazy Egghttp://www.crazyegg.com/
Piwikhttp://piwik.org/
LabsMedia’s ClickHeathttp://www.labsmedia.com/clickheat/index.html
Great ReadsArendt, 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