The focus map highlights the parts that viewers will notice in the first 4 seconds by revealing them, and it also hides the design areas that users don’t
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A Clarity score of 100 is not the best result. Hold on with us. We can’t pinpoint a specific number and say that this is the Clarity score golden standard
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Our deep learning algorithm predicts the first 4-5 seconds of user attention on a new stimulus. It relies on pre-collected eye-tracking data to make these
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AI-generated attention heatmaps show which elements in your design are most likely to be noticed by your users. Previously gathered eye tracking data is used
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Clarity benchmark allows you to benchmark your design clarity to your industry standard. The Clarity benchmark diagram shows where your design ranks regarding
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Areas of Interest are the areas or zones that you define on the heatmap to calculate specific data for those zones. There are also automatic areas of interest
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Alexa rank is a global website popularity ranking created by Alexa Internet company, a subsidiary of Amazon. Alexa uses web traffic and visitor engagement data
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Clarity score shows how clear the design is for a new user, whether it is overloaded with elements and clashing colors or clean and clear. An algorithm takes
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Our algorithm defines some areas of interest (buttons, key titles, and images) automatically. However, we cannot stress it enough that users should be defining
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Simple answer: Percentage of Attention provides quantified attention data (a percentage) of certain areas in your design with key elements inside them. By
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