Attention Predictor™
Get instant AI-powered visual attention insights backed by Real Eye‑tracking data.Pre-test multiple designs, improve and optimize to make them stand out, communicate clearly, and convert better - before going live.
What is Attention Predictor™?
Attention Predictor™ is an AI-powered visual attention prediction tool that instantly reveals where customers will focus on your designs - without the need to recruit testers. From product packaging to ad campaigns, it is trained on RealEye eye-tracking data to deliver the insights you need to create designs that truly capture attention.
Why Use Attention Predictor™?
Attention Predictor™ delivers insights similar to
traditional eye-tracking - but instantly.
With 91% accuracy (8.9%
MAE), it's a fast and reliable solution for understanding user visual
attention.
Perfect for Concept
& Pre-Testing
Get attention data in seconds to speed up your decision-making. Use it early in the design process to improve and iterate on multiple concepts quickly.
Filter Out Ideas Before Further Experiments
Think of it as a smart "funnel": Instead of full‑testing all your 10 concepts, Attention Predictor™ helps you select the most promising 3-5 designs, which you can then validate with real eye-tracking.
Maximize Output,
Minimize Cost
Save time, money, and effort by narrowing down the strongest ideas before investing in full-scale user testing.
What You Get
Visual Attention Insights reveal which parts of your design draw the most attention.
Viewing Path
based on AOIs
→ What's the order of attention?
→ Does your visual hierarchy influence the user's gaze path?
Visual Attention Metrics
based on AOIs
→ Identify attention behaviour using objective visual metrics
→ Measure VAI, Reach, Speed, and
Hold
Comprehensive Attention Predictor™ Report
Multiple analytical components combined to provide comprehensive insights into visual attention patterns.
Inside the Attention Predictor™
The Attention Predictor™ is powered by AI trained on over 1.7M+ real eye‑tracking sessions on 12K+ Unique Items, and 34M+ Fixations. It quickly shows where people are most likely to look on your designs. Using advanced Machine Learning, the model analyzes visual elements such as layout, contrast, and object positioning, and simulates human gaze behavior with a validated Mean Absolute Error (MAE) of just 8.9%.
It provides several key attention metrics: VAI, Speed, Reach, and Hold - measured across different time intervals to offer a detailed understanding of how visual attention evolves.
Learn About Our Models →Explore All Use Cases
Discover how our attention prediction solution works across different industries and applications.
Product Packaging
Optimize packaging and marketing materials
A/B Testing
Compare design variants before expensive testing
Ads & Campaigns
Optimize ad creative and campaign materials for maximum visual impact
Shelf Testing
Optimize product placement and visibility on retail shelves
UI & UX Design (soon)
Validate interface designs and user experience flows
eCommerce Optimization (soon)
Improve online store layouts and product presentations
