media optimisation with attentionAI
AttentionAI helps media teams understand how creative is likely to perform across platforms, formats and audiences - before budget is committed.
By turning every creative asset into a modelled attention dataset, teams can make smarter decisions about where to place media, which formats to prioritise and how to reduce wasted spend.
Platforms
Formats
Audiences
Real Human Attention
the problem
Impressions, reach, frequency and CPM tell you what was bought or served. They don’t tell you whether people actually paid attention.
That means media can look efficient on paper, while still failing to give creative enough time or context to land.
what was served
Impressions
Reach
Frequency
CPM
tells you what was bought
what people paid attention to
Active Attention
Attention Decay
Hook & Hold
Active vs Passive
tells you what actually landed
the attentionAI advantage
AttentionAI predicts how audiences are likely to engage with a creative across media environments.
Each asset is assessed against a modelled audience of 20,000 impressions, helping media teams understand how attention is likely to vary across platforms, formats and audience segments before budget is allocated.
it helps answer the questions media teams need to know
01
Which platform gives this creative the best chance to earn attention?
02
Which format helps the message land?
03
Where does attention drop too quickly?
04
Which audiences are most likely to stay engaged?
05
Where is spend likely to be wasted?
what you get
For every creative, AttentionAI can return attention performance across relevant platforms, formats and demographics.
outputs include
Attention performance by format
Second-by-second attention decay
Active and passive attention signals
Benchmarks against format norms
Hook & Hold performance
Audience-level attention views
Structured datasets for planning and modelling
So media teams can move beyond “where can this run?” to “where will this actually work?”
scenario comparison
Base vs brand-uplift optimised at ±10% and ±30% tolerance, same total budget
Metric
Base (today)
Optimised ±10%
Optimised ±30%
Active attention seconds per reach
11.4
12.5
+9.6%
14.3
+25.4%
Predicted STAS index
104.8
107.1
112.6
Brand uplift (STAS points)
+8.8
+9.1
+10.6
Reach (indicative)
600M
616M
+2.6%
639M
+6.5%
Brand lift per A$1M
0.88 pts
0.92 pts
0.98 pts
Efficiency gain vs base
—
+3.1%
+9.3%
Equivalent free brand-building
—
~A$0.3M
~A$0.9M
Extra budget
—
A$0
A$0
how media teams can use it
Four ways teams put predictive attention to work across planning, budget allocation and optimisation.
01
Identify the formats and platforms where your creative is most likely to earn and sustain attention.
Use this to guide planning, format selection and budget weighting.
02
Spot placements where attention drops too early or where the creative is unlikely to deliver enough active engagement.
Shift spend before budget is lost in-market.
03
AttentionAI helps teams understand whether performance is being driven by the asset, the format, or the interaction between both.
This makes it easier to separate creative issues from media environment constraints.
04
Use AttentionAI outputs as a decision layer inside planning tools, dashboards, MMMs, forecasting models or internal optimisation workflows.
Attention becomes a usable media input, not a standalone report.
why it matters
When media teams understand how attention is likely to build, drop and sustain, they can make sharper calls across the whole plan.
Allocate budget with more confidence
Choose formats based on likely attention, not just cost
Improve creative and media alignment
Reduce inefficient delivery
Build more human-centred media plans
built for scale
AttentionAI can support media optimisation within the way your teams already work.
self-serve
Test and compare in the platform
rest · json · AGENTIC
Attention inside your systems
insights
Brand-specific insights & recommendations
pipelines
Attention into internal systems
Whether you’re testing a campaign, comparing formats, or embedding attention into planning infrastructure, AttentionAI is designed to scale with your workflow.
make attention part of media optimisation
AttentionAI gives media teams a clearer view of where creative is likely to earn attention and where spend can work harder. Use predictive attention data to plan smarter, optimise earlier and make media decisions based on real human behaviour.
