Webinars
On-demand sessions on design performance, visual attention science, and getting more from EyeQuant.
How to predict your video’s attention, recall and impact
A view tells you someone watched. It doesn't tell you whether they'll remember it when it counts. But what if you could see - before a single viewer watches - whether your video will hold attention, land its message and be remembered when the buying decision actually happens? On June 18 our CEO, Kramer Reeves and Head of Product, Andrew Draper, are giving a first look at EyeQuant's new video intelligence models - a suite of predictive capabilities that extend attention science into motion for the first time: You'll get an early look at: Recall - a predictive score for whether your creative will be remembered through the multi-touch path to purchase, not just whether it was seen Attention Over Time - predict how much attention your product, logo or CTA owns as the video plays (frame by frame, through motion, scene changes and competing objects) Clarity & Excitingness for video - pre-test storyboard frames before you commit to production spend You'll also hear a quick update on what else is new at EyeQuant, including our benchmarking agent and smarter recommendations that make predicting attention before you launch even easier. Can't make it live? Register and we'll send you the recording after the event.
Closing the validation gap
Most optimisation still happens after launch. Teams wait for data, react to what breaks, and iterate from there. It works - but it's expensive, slow and leaves a lot of value on the table. AI-first teams work differently. By combining behavioural frameworks, AI, and predictive attention modelling earlier in the process, they're validating creative and UX decisions before anyone ever sees the page. In this live session, Giovanni Pola - founder of Vertelya - will show how this works in practice, using their NEKTAR framework: a six-stage model that maps the full journey from user need to action, integrating data and insight at every step. You'll hear about: The NEKTAR methodology - how Vertelya structures their approach to digital experience, and why it starts long before launch Predictive attention in the workflow - where EyeQuant fits, and what it reveals that post-launch testing can't Enel: a real case study - how this approach was applied with global energy brand, Enel, delivering +14% CTR and +15% CR
The Neuroscience of Attention
Most user behaviour happens below conscious awareness. People don’t carefully read and evaluate. They scan, filter and react - in milliseconds. And that’s where many designs fail. Key messages are missed. Calls-to-action go unseen. Even well-designed experiences underperform. In this live session, we’re joined by Professor Peter König (University of Osnabrück), one of the world’s leading experts in visual neuroscience. Together, we’ll explore how the brain actually processes visual information - and what that means for how you design. Why this matters Visual confusion alone can reduce conversion rates by 30–50%. Not because teams aren’t trying - but because human perception doesn’t work the way we think it does. Understanding how people actually see, process and decide gives you a powerful advantage in design and optimisation. What you’ll learn How attention actually works - and why “obvious” things get missed Why users don’t see what you design (and how to fix it) How subconscious processing shapes decisions and behaviour Practical ways to guide attention and reduce cognitive load How to design experiences that are clearer, more engaging - and convert better At EyeQuant, this approach is built on over 20 years of neuroscience research - translated into tools that help teams predict attention and optimise designs, in seconds, before they go live. Who this session is for Designers working on digital or visual experiences UX, CRO and product teams improving performance Marketing teams responsible for creative effectiveness
Stop guessing if your creative will work
Most teams only discover how creative performs after it goes live. But what if you could understand how users will experience a design - and see how it stacks up against competitors before launch (and in under 5 seconds)? In this live session, we’ll walk through the latest updates in EyeQuant and show how teams are using them to predict attention, benchmark creative and make clearer decisions earlier in the process. You’ll see how these new capabilities fit directly into real workflows - h elping teams test ideas sooner, reduce guesswork and move from design to launch faster. What we’ll cover: Multi-region analysis: Analyse long pages and complex designs in a single run. Understand how attention flows across different sections without needing to crop or run multiple analyses. Benchmarking insights: See how your creative compares with competitors and industry patterns, helping you quickly identify where attention is working - and where opportunities exist. Enhanced presentation reports: Create polished, auto-generated, presentation-ready summaries of your EyeQuant analyses - with insights, recommendations and optional branding (your or your client’s logo and colours) for easy sharing with teams and stakeholders. Who is this session for? Designers working on landing pages, campaigns or product interfaces Marketing teams responsible for creative performance CRO and UX teams validating designs before launch Anyone interested in understanding how users actually see and interact with creative Whether you’re already using EyeQuant or just curious about how predictive attention can improve your creative workflow, this session will give you a practical look at what’s new and how teams are putting it to work. Register now to save your spot!
Your First Test For Every Creative
What does attention prediction actually look like in day-to-day design work? In this webinar, we’ll be joined by leading European digital agency +Pluswerk, who’ll share how EyeQuant supported a high-pressure design project - balancing multiple client demands, an internal startup MVP and a fast-approaching launch. This is a practical walkthrough of how attention prediction fits into real creative workflows - from early design choices and layout decisions through to final validation and stakeholder sign-off. You’ll see how attention prediction was used on a real print and landing page project where EyeQuant was used to: Make fast, objective decisions without rounds of testing Reduce iteration when deadlines left no margin for error Pressure-test personal bias when working solo Lock in visual hierarchy and attention priorities before launch. We’ll also be joined by EyeQuant’s CEO for a short walkthrough of what’s new inside the platform - including recent releases designed to make attention insights faster and easier to use in real workflows. Who this is for? Designers working on digital or print projects Marketing and UX teams validating creative before launch Anyone curious how attention prediction is actually used in the real world.
Where Attention Prediction is Heading in 2026
The way teams predict attention is changing fast. Join Andrew Draper (Head of Product) and Kramer Reeves (CEO) on Thursday 22 January at 3pm (UK) for a live session exploring where attention prediction is heading next , straight from the team building it. We’ll talk about some of our upcoming innovations, plus, you’ll be able to see some of our newest features in action: AI summaries & recommendations , the new chat tool and a faster, clearer UI - helping teams predict attention faster, smarter and more confidently than ever. Whether you’re already using predictive attention tools or just curious about what’s next, this session gives a clear view of the future of attention prediction in 2026. Can’t make the session? Register anyway and we’ll send the recording after the event.
Predict Attention. Test in your workflow.
Content moves fast - decisions need to move faster. EyeQuant is designed to fit seamlessly into your workflow, helping you validate attention, spot risks and improve creative before anything goes live. Join us for a live session to see how teams are testing creative at any stage, scoring visual attention in seconds and launching work with confidence - without slowing down production. During the session, we’ll cover how to: Test instantly inside your existing workflow: Plugins, browser tools, and simple uploads make it easy to analyze visuals in seconds, even at the last minute. Tailor insights to what success looks like for you: Add your objective and format (ad, landing page, email, etc.) so analysis reflects your real goals - not generic benchmarks. Cut through debate with fast, AI-driven clarity: Summaries and recommendations highlight what’s working, what’s not, and where to improve - making decisions faster and easier. Plus: We’ll be joined by Fabien Caublot, Experience Optimisation Director at Jellyfish, sharing how EyeQuant fits into their workflow - and how insights translate into real UX improvements. And, we’ll be unveiling a brand-new innovation during the session - something we’re really excited about, and you won’t want to miss. If you want a faster, easier way to validate attention and optimise creative before launch, this webinar is for you.
How Tinuiti’s CRO Program Manager uses EyeQuant to predict attention and power better creative decisions
Curious how leading agencies use Artificial Intelligence to make smarter creative decisions?This webinar is for you. Spencer Gray, CRO Program Manager at global marketing agency Tinuiti, will give a behind-the-scenes look at how his team uses EyeQuant to: Validate creative concepts before launch Strengthen client pitches with data-backed visuals Combine behavioural data with visual insights for deeper understanding You’ll also get a first look at what’s new and what's coming at EyeQuant - including our AI-powered chat tool and smart summary recommendations, which deliver targeted, action-oriented tips with every analysis. Together, these new tools make it easier than ever to predict attention, explore ideas, and understand how your creative will be received - helping you make confident, data-backed design decisions in less time.
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