Stimulusby Tridha · Neural response engine
Sales briefing · Private beta

Find the cut
that wins.

Before the spend.
Stimulus predicts how the brain responds to a film, an image, or a line of copy, and returns it as the number you already report on.
For
Marketing & agency leadership
This briefing
Evidence · field · economics
Tridha
Mumbai · New Delhi
Stimulus · The bet02 / 18
The bet, in one line

A survey asks people to explain a choice the brain has already made. Stimulus reads the choice, from the creative alone, before a rupee of media is committed.

No panel. No scanner at use. A predicted neural response, mapped to the outcome you sell on: recall, preference, conversion.
Stimulus by TridhaThe bet
§0103 / 18
01
§01 · The money on the table

The decision worth the most
is made on the least evidence.

Stimulus by TridhaThe money
§01 · The money on the table04 / 18
The lever

Creative moves half the sales.
The room treats it like a fifth.

49%
Share of incremental sales lift driven by the creative itself. The single largest factor by a wide margin. NCSolutions, about 450 CPG campaigns, 2023.
versus
19%
What marketers believe creative contributes to the sales effect. Advertiser Perceptions survey of 122 marketers, 2024.
The gap between those two numbers is the opening. The most valuable call in the campaign is the one the industry under-resources.
Tridha · 2026The lever
§01 · The money on the table05 / 18
The cost of guessing

A fifth to a half of media spend
runs behind a weak cut.

Independent estimates of digital ad budget wasted on creative that underperforms.
26%
Average spend wasted
Rakuten
45%
Boosted creator spend wasted
CreativeX
55%
Misspent on suboptimal ads, 2022
Performance Marketing World
And the cut is chosen by a focus group, a platform test that lands after the money is committed, or the most senior opinion in the room.
Tridha · 2026The waste
§0206 / 18
02
§02 · The signal

The brain forecasts the market.
What people say does not.

Stimulus by TridhaThe signal
§02 · The signal07 / 18
Twenty years of peer-reviewed evidence

In each case, the brain knew first.

Berns & Moore · 2012
Reward response to song clips tracked national sales three years out.
Stated likability did not predict sales at all. R = 0.32, p = 0.004.
Falk et al. · 2012
Prefrontal response ranked three anti-smoking campaigns in the correct order.
It matched a 2.8x to 32x lift in quit-line calls. Self-report ranked them wrong.
Genevsky & Knutson · 2015–17
Accumbens activity forecast microloan and crowdfunding success.
Beyond what people's own stated choices could explain. "When brain beats behavior."
Venkatraman et al. · 2015
Across six methods on TV ads, neural response explained the most variance in ad elasticity.
Ventral striatum was the single strongest predictor of real market response.
and many more...
Tridha · 2026Evidence
§02 · The signal08 / 18
What we are not claiming

A sharper prior,
not a crystal ball.

The science is real and it is also honest about its limits. We say so on the first call, because a method that over-promises in this category does not survive contact with a CMO.
Origins
The effects are population-level forecasts, not certainty about one viewer.
Honest size
Individual correlations are moderate. The value is direction and ranking at scale, instantly, on every asset, which no panel can match.
We are not selling individual certainty. We are providing a better bet than a survey, at a scale a survey can never reach.
Tridha · 2026Caveat
§0309 / 18
03
§03 · The hard part

A prediction nobody can act on
is a screensaver.

Stimulus by TridhaThe hard part
§03 · The hard part10 / 18
The failure mode in this category

Buyers do not buy brain maps.
They buy recall, preference, conversion.

Every tool that has died in this space died the same way: it produced a beautiful neural readout that no one could put on a media plan. The product has to end where the client already lives, in a number on the report they take to the board.
What loses
A voxel heat-map.
Scientifically true, commercially mute. It does not tell a planner what to ship.
What sells
A predicted recall and preference index.
The same currency the client already forecasts, budgets, and reports against.
The job
Turn signal into that number.
Reliably, on every asset, in minutes. That translation is the whole product.
Tridha · 2026So what
§03 · The hard part11 / 18
From signal to number

Four steps turn a neural response
into a metric you sell on.

Step 01
Predict
The model returns a predicted neural response to the creative, region by region, second by second. No scanner, no panel.
Step 02
Read into systems
Regions group into the systems that matter: attention, memory encoding in the medial temporal lobe, reward and valuation in vmPFC and the striatum, social processing in the face and STS regions, language.
Step 03
Reduce to features
Each system's per-second curve becomes a handful of features: where it peaks, how fast, how long it holds, whether it builds to the brand moment or fades before it.
Step 04
Map to the outcome
Those features regress onto the metric the client reports on: recall, preference, completion, brand lift. This is the step that becomes the product.
The first three steps are table stakes. The fourth is where the value lives.
Tridha · 2026Transformation
§03 · The hard part12 / 18
Where the defensibility lives

The model is not the moat.
The mapping is.

Anyone can predict a neural response. The asset is the calibrated link from that response to a real business outcome. Nielsen's edge was never the EEG; it was the calibration that tied EEG to in-store sales at 62%.
The flywheel
Run a campaign → Compare to the real outcome → Sharpen the mapping
Every campaign makes the next prediction sharper. The data accumulates where a competitor cannot reach it.
The regulatory posture
Encoding, not decoding.
Stimulus predicts a response to content. It does not read a person. Training data is consented and there is no scanning at use. As neural-data rules arrive, that is the clean side of the line to be on.
The compounding asset
Outcomes, not weights.
A growing library of creative-to-outcome pairs, validated against client KPIs. It is the part of the system that is hardest to copy and gets stronger with use.
Tridha · 2026The moat
§0413 / 18
04
§04 · The field & the wedge

A crowded field,
and an empty corner.

Stimulus by TridhaThe field
§04 · The field & the wedge14 / 18
The competitive field

Three kinds of tool.
Nobody checks all four boxes.

The field No scanner or panel Deep cognition, not just gaze Outcome-validated Built for scale
Lab neuromarketing
Nielsen Consumer Neuroscience, fMRI labs
 no yes yes no
Attention & saliency AI
Neurons, Dragonfly, Expoze, Lumen, Realeyes, Tobii
yes gaze only partial yes
Creative-outcome AI
System1, Zappi, Memorable, Swayable, VidMob
 yes non-neural yes yes
Stimulus
Tridha neural response engine
 yes yes yes yes
The lab is deep but slow and small. The AI tools are fast but read gaze or self-report, not memory and reward. The empty corner is deep cognition, outcome-validated, at scale.
Tridha · 2026The field
§04 · The field & the wedge15 / 18
How the market prices the question

From a twenty-euro seat to a three-million-dollar deployment.

Expoze.io / Alpha.One
Self-serve subscription
€19.99 to €399.99 / mo
Attention Insight
Credits
$23 to $479 / mo
System1 Test Your Ad
Per asset
£300 / $450 per ad
Neurons Predict
Quote-based
about $5,000 / yr
Nielsen brand lift
Per project
$7,500 to $15,000
Lumen Research
Enterprise licence
est. $25K to $100K+ / yr
Zappi
Enterprise deployment
about $3.0M / 3 yrs
The baseline it replaces: a lab fMRI study runs under €5,000 and a focus group $6,000 to $12,000. Each returns one answer, on a tiny sample, weeks later.
Most premium vendors are quote-based. Lumen, Neurons and VidMob figures are third-party estimates.
Tridha · 2026Pricing
§04 · The field & the wedge16 / 18
The market

Two named markets, and a much
larger pool underneath them.

$2.5B
Neuromarketing by 2030
About $1.6B in 2025, roughly 9% CAGR.
$6.2B
Attention measurement by 2033
About $2.1B in 2024, roughly 15% CAGR.
20–60%
Efficiency gain from attention over viewability
Buy-side precedent, Adelaide.
The named categories are modest. The pool they sit in front of is not: creative testing and ad pre-flight, the shift to attention as a tradable media currency, and AI across the whole of advertising. Figures vary by definition and are directional.
Tridha · 2026Market
§04 · The field & the wedge17 / 18
Where we start, where it goes

Win the pre-flight test first.
Become the attention layer later.

Now · the wedge
Pre-flight creative testing.
CPG brands and agencies, where creative drives 49% of sales and up to half the spend is at risk. Prove the read against a back-catalogue of ads with known in-market results.
Next · adjacent
Trailers, packaging, memorability.
Scene and trailer testing for studios and streamers, packaging and thumbnail optimisation, and distinctive-asset recall scoring for brand teams.
Then · the layer
An attention currency.
Predicted attention and engagement as a planning and inventory signal, feeding the programmatic stack where buyers already value attention over viewability.
Tridha · 2026Roadmap
§05 · Next step18 / 18
§05 · The ask

Find the cut.
Before the spend.

Design-partner program
A founding cohort.
Selected CPG brands and agencies. We validate the read against your own back-catalogue of ads with known results, reported the way Nielsen reported its sales correlation.
Paid pilot · 14 days
Start before you commit.
Bring one live campaign and three creative pairs. Reports inside ten working days, in the metrics you already report on.
Enterprise
Wired into the workflow.
API, SSO, private workspaces, and the outcome metrics dropped straight into your reporting.
contact@tridha.net
stimulus.tridha.net · Mumbai · New Delhi · 2026
Stimulus by TridhaEnd