Design That Sticks: Applying Neuroscience to Predict Attention
Release Date: 05/17/2026
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info_outlineWhy do so many beautifully designed websites, ads and digital experiences still fail to convert?
In this episode of The Digital Marketing Podcast, Daniel Rowles is joined by Kramer Reeves, CEO of EyeQuant, alongside neuroscientist Professor Peter König, one of the company’s founders and a leading expert in visual attention and cognitive science. Together, they explore how neuroscience and AI are reshaping the way marketers, designers and brands understand attention.
The conversation dives into the hidden mechanics behind how people actually experience digital content. From subconscious processing and visual saliency through to cognitive overload and design clarity, this episode challenges many of the assumptions marketers make about what users notice, understand and act on.
The discussion also explores how AI-powered predictive attention modelling can help teams test creative assets before launch, reducing guesswork and improving performance across websites, ads, landing pages and social content.
If you work in UX, creative, digital marketing or conversion optimisation, this episode offers a fascinating blend of neuroscience theory and highly practical design advice.
In This Episode
Why the human brain is poorly adapted to navigating modern web experiences
What happens cognitively in the first few seconds after landing on a webpage
Why designers often view their own work very differently from first-time users
How “system one” thinking drives most user behaviour online
What visual saliency means, and why it matters for conversion
How cluttered creative and overloaded messaging dilute attention
Why visual hierarchy, contrast and scale shape user behaviour
The importance of creating a clear visual storyline through a page or ad
How AI models can predict where users are most likely to look
Why neuroscience is becoming increasingly important in modern marketing and UX
How EyeQuant uses predictive attention modelling to help brands optimise creative before launch
Why objective testing is becoming essential in an AI-generated content landscape
Key Takeaways
Attention is highly selective. You cannot make everything on a page the top priority simultaneously
The brain processes visual information subconsciously long before conscious reasoning begins
First impressions are heavily influenced by saliency and visual contrast
Designers are often too familiar with their own creative to judge it objectively
Reducing visual noise can significantly improve clarity and conversion potential
Motion, scale and contrast naturally attract human attention because of evolutionary wiring
Effective design is not just about aesthetics. It is about guiding behaviour
AI-driven predictive testing can dramatically speed up optimisation workflows
Clear intent and defined outcomes are becoming increasingly important inputs for creative analysis
Objective attention data helps teams move beyond subjective design debates
📥 Access the show notes, tools, and links at: https://targetinternet.com/resources/design-that-sticks-applying-neuroscience-to-predict-attention