introducing attentionai

Know what works,
before you spend.

AttentionAI predicts how real audiences will engage with your creative - second by second, format by format so only your best ads make it to media.
No media spend required
Results in minutes
Trained on 50B+ data points
The Problem
Of every $100 spent
$0
is spent on impressions nobody actively pays attention to.
Wasted spend (0) Active attention (100)

Most of your media spend isn't working as hard as you think.

Up to 75% of your ad isn't being actively paid attention to. Which means:

Creative is being skipped, or not even seen
Media is being bought without true impact
Performance metrics don't reflect real human behaviour
The solution

How AttentionAI analyses your ad.

AttentionAI reads what’s actually capturing attention frame by frame, second by second by modelling real human viewing behaviour.

  1. 01

    Ingest

    Your creative asset is uploaded into the AttentionAI engine.

  2. 02

    Creative codification

    Each frame is analysed to quantify the impact of faces, objects, motion, and text the creative’s attention DNA.

  3. 03

    Contextual intelligence

    Creative signals are conditioned on platform dynamics and human attention data to predict active, passive, and non-attention.

  4. 04

    Audience generation

    20,000 unique viewing personas are simulated per ad, creating a panel-like attention audience for each media environment.

  5. 05

    Delivery

    Billions of synthetic signals are aggregated into attention decay curves and benchmarks.

One ad in.A complete attention dataset out.
How it works

Four steps from creative to confidence.

No waiting on panels. No commissioned studies. Just upload, model, decide.

01

Upload your creative

Drop in the video you're testing; a finished cut, an alternate edit, or a concept still in review.

02

AI models real human attention

Built on 50B+ real attention data points. Breaks your ad into second-by-second frames, correlating every element against format norms.

03

Receive a complete attention dataset

Creative score, attention decay, hook & hold performance, benchmark comparisons.

04

Optimise before launch

Improve creative, adjust media, reduce waste before a cent is spent.

What you get

Three layers of insight. One unified output.

Creative performance

Diagnose what works inside the cut.

Attention score
Hook & Hold diagnostics
Active vs passive attention
Drop-off and retention insights

Media intelligence

Match every ad to the right placement.

Attention by format and platform
Attention-weighted allocation guidance
Channel efficiency comparisons
creative-2845-attention.csv
30 rows · second-level data
GET /creatives/4562467/synthetic_audience
JSON · prediction_result_ready

Decision-ready outputs

Plug attention into the systems you already run on.

Downloadable datasets (CSV)
Benchmark comparisons
Scalable inputs for planning and modelling
Drop-off and retention insights
What you can do with it

Three decisions you’ll make differently from day one.

01 · Pick the best creative

Choose the best creative before launch.

See which ad actually holds attention, not just which one looks best in the meeting.

“It’s like having attention data from 20,000 people looking at your ad.”
02 · Optimise

Optimise media spend with real signals.

Shift budget toward formats and placements that deliver attention, not just impressions.

TikTok · feed +42%
YouTube · non-skippable -5%
Facebook · feed-28%
03 · Optimise

Reduce wasted spend.

Understand where attention drops off and fix it before it impacts performance.

Attention drop-off · before vs after
+24% attention retained
Early adopters using attentionAI
Why attentionAI

What makes it different.

Built on real human behaviour

Not proxies. Not assumptions.

Trained on one of the world’s largest attention datasets.

Scalable, not one-off

Built for the way teams actually work.

Run it across every creative, every campaign, every channel.

Designed for decisions

Not dashboards for the sake of it.

Outputs you can act on immediately — and integrate into the systems you already run on.

The foundation

Built on real human attention, not assumptions.

AttentionAI is powered by Amplified’s world-leading bespoke research, built over a decade capturing how real people pay attention to ads in live environments.

Unlike lab studies or proxy-based models, this dataset reflects true human behaviour across platforms, formats and contexts — with over 50 billion attention data points collected globally.

50B+
attention data points, globally collected
Credibility
Grounded in observed human attention, not synthetic assumptions.
Granularity
Second-by-second insight into how attention builds and decays.
Robustness
Validated against real-world campaign environments.
Scalability
Apply human-level understanding across every creative, instantly.
attentionai-api · v1POST /creative/synthetic-audience
// 1. Predict attention for a creative
const result = await amp.predict({
  creative: "s3://ads/summer_launch.mp4",
  format:   "feed",
  channel: "tiktok",
});

// 2. Decision-ready response
{
  "attention_score": 73,
  "hook_index": 112, "hold_index": 94,
  "decay": [0.92, 0.95, 0.94, …],
  "benchmark_delta": +12,
  "active_percentage_to_ad_length": 63
...
Rich dataset
More than 1000 datapoints per ad
For teams at scale

Built for scale.
Designed for advantage.

For teams operating at volume, the AttentionAI API and MCP embeds predictive attention directly into your workflow so every creative is tested, optimised and ready before it hits media.

Integrate once, and turn attention into a continuous, automated signal across planning, buying and optimisation.

Stay ahead by making attention not an insight, but infrastructure.

Ready to see how your ads Perform?

Run your first creatives through AttentionAI and see what your media is really delivering.