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AI-Powered design analytics

Attention insight platform instantly predicts where users look when engaging with your designs.

Implement A/B testing in minutes and understand user’s attention shifts without data collection.

Make objective decisions before product launch
Improve visual engagement
Optimise content visibility
Create effective advertising campaigns

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 areas that attracted more fixations.

Areas Of Interest (AOI) represent objects (e.g. call to action buttons) that a user wants to test in the design.

Each AOI calculates the percentage (%) of attention that particular object received. AOI are set by the user during study creation.

Complexity score shows how complicated the design looks to  users.

The score ranges between 1 to 100 (100 being the maximum) and shows you when the design has too many elements or conflicting colors (or when the opposite is true).

Partners

Artificial intelligence
A system based on deep learning and trained with eye tracking studies data.
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To get a result
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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 design and get RECOMMENDATIONS from our team, send us a message right now:

Or just sign up for a free trial.

Frequently asked questions (FAQs)

Approximately 30 300 images.

The age of each study participant varies from 7 years old to about 60+ years old. 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.

An eye-tracking device recorded the participants’ eye movement for 4 s.

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

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