Digital NeuroLab

An American Digital Marketing Incorporation

Results without risk.

DNL helps brands reach precise, capital-scale outcomes — de-risked by the neurophysiology of attention.

Client case

Millions into marketing. Zero proof.

Cost columnevery month

Payroll40%

Offline advertising30%

Content production30%

Budget spent100%

Profit columnmarketing's share

of proven contribution

Videographers, studios, agencies, one specialist after another — the result could neither be confirmed nor denied.

At the end of every month marketing appeared in the costs — and never in the profit.

The brief for DNL

Two hard problems.

Build marketing that actually moves the buyer.

Not "nice content" — frame, sound and edit engineered around how attention actually works, and bringing in leads.

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Prove those leads came from the marketing.

Tie a view to a person, a place and a purchase — with hard data, not assumptions or a survey at the door.

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The first problem turned out to be the easier one.

Problem 01 · why it is solvable

We know how attention works.

Behind DNL sits a database of millions of records on human attention: measured reactions to frame, light, rhythm and sound — folded into laws that repeat from market to market.

2,754

cataloged laws

4 tiers

visual · technical · audio · neuro

Let me show the laws on brands you already know.

Selected work

Huawei and VALORANT.

Two campaigns engineered on attention physics.

Valorant — VALORANT Masters Bangkok — «Dawn of the Duelist» (Riot Games)

Laws of visual perception

What holds the gaze.

Technical laws of the frame

How it is shot.

Laws of auditory perception

How it sounds.

Neurophysiological laws

How the brain reads it.

2,754 laws — cataloged and applied.

Figma · live board

Neuroscience is why we can promise.

The laws of attention are measured in the lab: gaze, sound, motion, the brain's response to a frame. That is what stops a video from being a lottery — and lets us sign a money-back contract.

Problem 02

Now — prove it.

The laws solved the first problem: content that genuinely moves the buyer. What remained was the second one — the point where every marketing report usually stops.

How everyone does it

Views, reach, "brand awareness".

Numbers that cannot be put into the profit column. Nobody knows which of those people ever reached a purchase.

How DNL does it

A view → a person → a place → a visit.

We measure not attention to a video, but the movement of a person after it: where they were when they watched, and where they ended up next.

Next — exactly how that works.

Case · full metric catalog

VALORANT

The official YouTube channel of Riot Games' tactical shooter: cinematics, trailers and esports.

youtube.com/@valorant · Mar 2020 — Jun 2026 · 258 metrics · 13 groups · 76 months

104.4B

viewer records in the DNL graph

on screen 104 · other 104,382,911,100

nickname · platform · watch time

space — closer

Attribution control

From a view to a footstep.

The system that ties social-media marketing to real sales — no surveys, no guesswork.

The signal

A view is never anonymous to the network.

Every play leaves two independent traces of place and time.

Channel 01 · Wi-Fi

Every network the device has joined.

Home, metro, office, café, gym, mall — a Wi-Fi history is the map of a person's day.

Channel 02 · Mobile carrier

Three towers pin the exact point.

Signal strength and timestamp from each tower — location within metres, minute by minute.

Both channels

We know where and when the video was watched.

One verified record per viewer: play time, place, and the route afterwards.

space ▸

Measured outcome

5,000 watched. 200 walked in.

Every dot is a person. Grey — everyone who saw the video. Blue — those who were inside a store within five minutes.

Reach

5,000 people watched the video.

Each grey dot is one viewer, at their own place and time.

5,000

views of the video

200

in a store ≤ 5 min

4.0%

offline conversion

The 200 blue dots are not a model's estimate — they are recorded visits: play time, location, store entry.

space ▸

How it works in the interface

Type a nickname — and the whole day is there.

One query. Wi-Fi activity on your videos, plotted on the map — and, separately, whose videos this person watches.

DNL · Audience console

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found: 1 of 104.4B

Wi-Fi activity what they watch

Viewer profile

xr4ven_

YT · IG · TT · one phone

cityAlmaty

first record11.03.2024

your videos seen37

Wi-Fi points19

store visits4

watch time6.4 h

Data is pseudonymous: nickname and network events, no personal documents.

Which videos they watched