Blog Analysis and Optimization with Eyetracking -- or "Oh, oh, that blog's writing needs fixing"
Eyetools testing showed that the original "Navigation Bar" blog wasn't written as well as I'd thought... here's what I found, and what I did about it.
This is what happens when you have easy access to eyetracking testing: you start wondering how well you're doing writing about it... and after wondering very briefly, you test it and find that it needs improvement. Alas.
Our first blog: All that red at the top shows that everyone reads our title and the first 1-line paragraph, but that they start dropping off in the middle of the "story" paragraph (guess the writing wasn't as good as I thought :-).
The "statistics" section held good information, but only 60% of people read it. Can I do better?
And the "punch line" certainly is getting wasted down there (50% and mostly skimming). No big surprise. Shouldn't have been so egotistical to believe that I could actually hold people's attention ALL the way to the end, but that final point was important, so I'm moving it.
So, I'm going to tweak the text of the original blog and post it as a new one. I've still got a bunch of people who will be coming through for this study so I'll test that as well! Crossing fingers... I'm going to go write the new version now...

Is it possible that people scrolled the article up, and so the punchline was actually being read in the "red zone," rather than ignored?
Posted by: Liz Lawley | February 12, 2005 at 06:17 PM
Liz, the heatmap takes into account scrolling, so, much to my initial chagrin, they really weren't reading it. I need to hurry up and made some changes and re-post the "improved" version as a new blog (with eye testing to see if it's "better").
Posted by: Greg | February 12, 2005 at 06:57 PM
Another thing you may want to check out is the demographic differences between customers. In China they read right to left in vertical columns traditionally.
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Posted by: ernest | June 07, 2008 at 03:28 AM
Another alternative to human-based eyetracking is based on computer vision research results. Currently we can take into account both low level (color, edge, texture, ...) and high level (text, object recognition, ...) result and train a system based on 100.000 examples generated by real people. Finally, we can reach >80% of similarity having less then 1 minute processing time (most of it spent to download a webpage) and ability to run as many test as we want.
http://www.youtube.com/watch?v=bZOVcmwHZZk
Posted by: tsishkou | July 15, 2008 at 04:17 AM
Another alternative to human-based eyetracking is based on computer vision research results. Currently we can take into account both low level (color, edge, texture, ...) and high level (text, object recognition, ...) result and train a system based on 100.000 examples generated by real people. Finally, we can reach >80% of similarity having less then 1 minute processing time (most of it spent to download a webpage) and ability to run as many test as we want.
http://www.youtube.com/watch?v=bZOVcmwHZZk
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Do Google Analytics offer heat map?
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