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AI-Powered design analytics
Attention insight platform instantly predicts, where users will look when engaging with content.

Implement A/B testing in minutes and understand user’s attention shifts without data collection.
Pilots with:
How to analyse design?
The Heatmap is a visual representation of how powerfully each part of the design captivates the user’s attention. Heatmaps use different colors to depict the number of visual fixations for different parts. Warm colors like red and yellow represent which areas attracted more fixations.
Areas Of Interest represent objects (i.e call to action) , that a user want to test in the design.
Each AOI calculates the percentage (%) of attention that a particular object received. AOI are set by the user when the test is created in our system.
Complexity shows, how complex web page looks like for new users.
The score ranges 1-100 (100 is super complex) and help to decide if there are not too many elements or colors on the screen.
Partners:
Artificial intelligence

A system is based on deep learning and trained with previous eye tracking studies data.

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Aggregate eye tracking studies data
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Accuracy of prediction for websites and 94% for general AI model.
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Designs analysed
Let’s grab and keep your customer’s attention. 
If you want to test your website and get RECOMMENDATIONS of our designers, write us an email right now:
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Popular FAQs

Approximately 30 300 images.

The age of each study participant varies from 7 years old to about 60+ years old. However, most participants fell into the 21–30 age bracket.

Most eye-tracking studies have almost equal gender distribution. On average, every study has been tested by 58 % women and 42 % men.

Although, we publish that accuracy of prediction for websites is 90 %, our inside number is 93 %. The reason is that we don’t have enough users per study to get a reliable golden number yet.

An eye-tracking device has been recording the participants’ eye movement for 4 s.

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