How to Validate Visual Hierarchy with Predictive Eye Tracking
Struggling to know how much attention that image or CTA is drawing? validate your visual hierarchy quickly and easy with predictive eye tracking.
See how you stack up against thousands of real YouTube ads
Predict performance so you only go live with your best ads
Fully AI-powered predictive technology, so you can test quickly and easily
Easy 3-step process, so you can test as many ads in as many markets as you want
Use Areas of Interest to predict exactly how much attention each element receives
Works for everything from advertisements, to product packaging, signage and more
Fully AI-powered predictive technology, so you can test quickly and easily
95% accurate thanks to our own proprietary dataset and neural net
Get started quickly with a postman collection showing all endpoints
Clear and concise documentation for quick setup and troubleshooting
Fully AI-powered predictive technology, so you can test quickly and easily
Our api is full scalable so you can process anywhere from 10 to 10000 predictions

Adrian Novak is a Marketing Analyst at alpha.one with a focus on turning data into insight. With a background in Market Research and Consumer Behavior, he enjoys uncovering the patterns behind what captures attention and drives performance.
At alpha.one, Adrian bridges analytics and creativity, transforming complex findings into practical takeaways that help brands make smarter decisions. He’s passionate about connecting numbers with human behavior to reveal what truly makes marketing work.

Struggling to know how much attention that image or CTA is drawing? validate your visual hierarchy quickly and easy with predictive eye tracking.

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