AttentionAI helps teams understand how real audiences are likely to engage with creative before media spend is committed. By analysing each asset second-by-second against a modelled audience of 20,000 viewers, AttentionAI shows what earns attention, where people drop off, and how the creative can work harder across platforms, formats and demographics.
second-by-second
attention decay
hook & hold
performance
per format
benchmarks
01
the problem
Too often, teams only learn which assets worked after the campaign has gone live. By then budget has been spent, optimisation windows are smaller, and weak creative has already had a chance to underperform.
02
the advantage
AttentionAI turns every creative asset into a modelled attention dataset, helping teams answer the questions that decide a campaign.
01
Does the ad earn attention quickly?
02
Does it hold attention long enough for the message to land?
03
Where does attention start to decay?
04
Which platform or format gives the creative its best chance?
05
Which audience segments are most likely to engage?
03
why 20,000 Matters
20,000
modelled viewers assessed against every single asset
A detailed view of how attention is likely to build, drop and sustain.
01
Not one number, but a full distribution of likely responses across a modelled audience.
02
A second-by-second, segment-aware read grounded in real human attention behaviour.
03
Helps identify what to keep, what to improve, and where the creative is most likely to work.
04
what you get
For every asset, AttentionAI can provide a complete attention read so teams move from subjective creative debate to evidence-led optimisation.
A single 0–100 read on attention performance.
How fast it grabs attention and how long it keeps it.
See exactly where attention starts to fall away.
Distinguish engaged viewing from background exposure.
Performance set against norms by format.
How engagement shifts across segments.
Export the raw read for deeper analysis.
From subjective debate to evidence-led optimisation.
05
in practice
01
Compare creative variants and identify which executions are most likely to earn and sustain attention. Use attention data to support decisions before media spend is committed.
02
See where attention drops, where audiences stay engaged, and whether the brand or message lands while people are still watching. Use these insights to refine hooks, pacing, branding and other key creative moments.
03
The same creative performs differently depending on where it runs. See how an asset is likely to behave across platforms and formats, and tailor it to the media environment.
04
AttentionAI gives teams a shared dataset to work from, helping reduce guesswork and align decisions around what people are actually likely to pay attention to.
06
why it matters
When teams know how attention is likely to behave before launch, every downstream decision gets sharper.
Reduce wasted spend on weaker assets
Improve creative before it reaches market
Select the right formats for each execution
Make faster, more confident decisions
Build campaigns around real human attention
07
built for workflows
Whether you’re testing one asset or building attention into every creative decision, AttentionAI is designed to scale with your workflow.
01
Initial validation with no commitment required
02
Creative review, led from the dashboard.
03
For high-volume creative workflows.
04
Integrate attention insights into agentic AI workflows
05
Tailored reports and data export.
one test
every creative decision
