Research method
Predictive Attention Analysis
- Explore
- Focus
A model trained on eye-tracking data predicts where people will look first on a page, ad or design. It gives a quick read on visual hierarchy without recruiting anyone, but it predicts attention, not understanding or conversion.
When to reach for it
Check whether the headline, offer and call to action draw attention on a hero, landing page or PDP.
Compare the visual hierarchy of design options before a 5 second test.
Check ad creative and packaging for clear focal points.
Often paired with Heatmaps.
Pros
Instant results on a static design, before anything is built or live.
Cheap enough to run on every design iteration.
Grounded in real eye-tracking data rather than a general language model.
Cons
Attention is not comprehension, motivation or conversion. A well-seen element can still confuse or fail to persuade.
It works on static images, so it misses scrolling, interaction and intent.
Vendors report accuracy with undefined metrics that cannot be compared.
Practical considerations: sample sizes, tools, logistics
Practical considerations
Pair it
Follow with a 5 Second Test or Heatmaps from real visitors to check that what draws attention is also understood.
Use it for hierarchy
Treat it as a design check, not as evidence a change will lift conversion.
Never in isolation
Recipes that use Predictive Attention Analysis
A method earns its value when its signal corroborates others. Here is where this one does its work.
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