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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

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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.

Once a study is created, CTA buttons are recognized automatically by the algorithm. Other AOI are set by the user.

Clarity score shows how clear the design looks to the users (whether it is overloaded with elements, conflicting colors or it is clean and clear).

The score ranges from 1 to 100 (100 indicates maximum clean design).


Use cases

A/B testing

No media budget required, rapid testing

Easy design approval

Objective data-proven design to save hours of discussion about personal preferences

Purchase funnel improvement

Improve UX, user path and visual flow

Object visibility

Evaluate menus, buttons, text, image position
Let’s grab and keep your customer’s attention. 

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Frequently asked questions (FAQs)

Approximately 30 800 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.