ATTEX
Vol. IThe digital ground truthest. 2025 · spin-off from Tobii

The human attention database.

Half of our waking life now happens on screens — and no one can say what actually happens there. ATTEX can: the first complete record of how we actually live online, with real eye-tracking at its core. A shared, auditable database that media, AI and the marketing industry can build on, compare against, and trust.

Measuring nowDesktopMobileusing Tobii eye-tracking technologyTobii
GDPR-compliant · consented, paid panel
Built with — and for — the global media ecosystem
WPP MediaPublicisToyotaSchibstedATGScreamKommunal
Also working with Omnicom · Mastercard · SEB · Fortum · Odyssey · Arvid Nordquist
20+ years of Tobii eye-tracking
Full WPP Media license — Nordics
GDPR · auditable lineage on every metric
§ 01Voices from the ecosystem
01 / 05
Understanding attention is key to building better advertising and consumer experiences. ATTEX Data's unique technology and Tobii's heritage in eye tracking make this a game changer for how we plan, optimize, and measure media.
WPP Media
Elias Bjerkeryd
Product Director · WPP Media
Press release · Nov 2025
§ 02The problem

Billions in ad spend vanish every year — because human attention data isn't used.

The blind internet — what advertisers are actually buying
53%
of internet traffic is now automated — humans are the minority at 47%.
Thales / Imperva Bad Bot Report 2026
~50%
of new articles are AI-written — and AI images are published in the billions.
Graphite, 2025
30%
of ads that do render in front of a human ever get looked at — the other 70% of that budget is wasted.
ATTEX Data
Where $700bn of desktop + mobile ad spend goes — 2026
$700bndesktop + mobilead spend · 2026
Ad spend — desktop + mobile$700bn
bots, fraud & slop$370bn
reaches a human, never looked at$230bn
= Actually seen by a human$100bn

85% is lost — ~$600bn a year buys ads no human ever sees.

And the flood keeps rising: AI makes content infinite — human attention stays fixed at ~8 hours a day. Infinite supply chasing a finite resource makes attention the scarcest asset in media — and the most valuable thing to measure.

§ 03How it works

Local, passive, always-on human eye-tracking panels — running quietly through people's real days.

Three interactive views on the ATTEX dataset. Numbers are illustrative. Not every view is in the public API today — but it's all in the data we're already collecting.

A person, their screen —
and the gaze between them, recorded.
The five layers — click to explore

One continuous record. Five connected layers.

AttentionEngagementBehaviourDemographicsChannels & context
Layer · 1 of 5

Attention

Real gaze data — where eyes actually land

Sub-second eye-tracking. Fixations, saccades, gaze duration on every visible element.

Avg fixation time
287 ms
Gaze on creative
62%
Skipped impressions
31%
The top layer, live — drag to fixate

Real gaze, on a real creative.

Tap & drag
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Total attention time
0.0s
cumulative on creative
Modeled recall lift
+0
weighted by zone
Dwell per zone
  • Handle & Sponsored0.0s
  • Headline0.0s
  • Product hero0.0s
  • Learn more band0.0s
  • Caption & actions0.0s

With the real eye-tracking panel, every blob is millisecond-accurate gaze. Your cursor is just a stand-in — the metrics, joins and outputs are exactly the same.

Live, always-on — watch it stream

A passive panel capturing the full digital day — on desktop and mobile.

~1,050
monthly active panelists
~1 TB
data / month
Desktop + mobile
Chrome ext · Android app
SE·NO·DK·FI
always-on
Panelist session · live ingest
Awaiting events from panelist…
    These views use illustrative data

    Want to look at the real thing? One day of impressions, gaze and accessibility tree — yours after a 3-field form.

    Download a day of data
    § 05Case studies

    Media buyers optimise against ATTEX data — so the ads actually get seen.

    WPPUplift across categories
    +107%
    attention rate uplift
    CategoryAd recallConsideration
    Retail+18%+10%
    Insurance+19%+15%
    FMCG+19%+15%
    Average+19%+13%
    Live campaigns — optimised against ATTEX data
    Performance campaign
    +23%
    Conversion · −5% CPA
    ToyotaWPP
    Branding campaign · cross-device
    +65%
    Attention desktop · +38% mobile
    Publicis Groupe
    Performance campaign
    +42%
    Conversion · −31% CPA
    ATGWPP
    Branding campaign
    +79%
    Fixation duration · +28% fixation rate
    KommunalScream
    Independent validation — academic research
    Schibsted Media Group

    “Schibsted Attention Study 2023” — a published study on brand lift and ad fixation, built on ATTEX data.

    Read the study (PDF)
    Supervised by
    Erik Modig
    Marketing expert, Stockholm School of Economics (Handelshögskolan)

    Independent academic supervision. The study compares fixation, dwell time and brand lift across Schibsted's desktop and mobile inventory using ATTEX's passive eye-tracking panel.

    § 06For agencies & ad-tech

    One database. Plug it into your stack.

    We are not a dashboard vendor. ATTEX is the shared foundation — a transparent, auditable database that media, AI and the marketing industry can build on, compare against, and trust.

    Raw export or API

    Stream to S3, BigQuery or Snowflake — or query the JSON API directly. Same schema either way.

    Real-time streaming

    Push events into your bidder, MMM, MTA model or LLM training set as they happen.

    Joinable identifiers

    Stable panelist IDs, creative IDs, surface and content IDs — built to join with your stack.

    Auditable & licensed

    Consented panel, GDPR-grade documentation. Auditable lineage on every metric.

    attex-sdk · node
    v1
    // Pull verified attention + behaviour for a creative
    const r = await attex.query({
      audience: { age: [25, 44], gender: "female", market: "SE" },
      surface: ["ig_feed", "tiktok", "ctv"],
      creative: "volvo_ex30_q2_15s",
      metrics: ["attention_rate", "fixation_ms", "co_exposure"],
      window: "last_14d",
    });
    
    // → joinable to your DSP, MMM, brand-lift study, ID graph or LLM
    attex.streamTo(s3 ?? bigquery ?? snowflake);
    

    Same calls, same schema — whether you stream raw events, batch-export to your warehouse or query the JSON API.