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Brief
Realeyes

Realeyes

Creative Analytics & Attention Measurementrealeyesit.com

Realeyes enables brands and agencies to predict the in-market performance of video ads by measuring real audience attention and emotional response via AI-powered facial coding, reducing wasted media spend on underperforming creative.

Last updated Jul 22, 2026 by the ATDb Editorial Team

Founded
2007
HQ
London, United Kingdom
Connections
6

At a glance

Employees
51-200
Funding
$30M
Revenue
$5M-$20M
5integrations

About

A leading specialist in webcam-based facial coding and attention measurement for video advertising, recognized as an innovator in scalable passive biometric research for creative pre-testing.

Realeyes is a pioneering attention and emotion measurement company that leverages webcam-based facial coding, computer vision, and machine learning to quantify how audiences emotionally respond to video advertising content. Founded in 2007 and headquartered in London, the company enables advertisers, agencies, and media owners to pre-test creative assets at scale, predicting in-market performance metrics such as brand recall, purchase intent, and engagement before committing to media budgets. Its opt-in panel of consumers watches content via webcam, and Realeyes' AI analyzes micro-expressions and attention signals in real time. The platform sits at the intersection of creative analytics, attention measurement, and predictive intelligence. Realeyes has developed proprietary attention metrics that have been validated against in-market outcomes, making it a credible tool for both creative optimization and media planning decisions. The company has worked with major global brands and agencies including Unilever, Mars, and GroupM, and has established partnerships with research firms and media measurement bodies to integrate attention data into broader campaign planning workflows. In the broader AdTech and market research ecosystem, Realeyes competes in the growing attention economy space alongside companies like Lumen Research, eye-tracking vendors, and traditional ad testing platforms. Its differentiation lies in scalable, passive facial coding that doesn't require specialized hardware, enabling large sample sizes at lower cost than lab-based biometric research. The company has been an active voice in industry efforts to standardize attention metrics, participating in initiatives led by bodies such as the ARF and WARC.

Business model

SaaS

Target market

Enterprise

What they offer

  • Realeyes Attention

    Measures passive attention signals from webcam footage to score how well video ads capture and hold viewer attention throughout their duration.

  • EmotionAll

    Facial coding platform that analyzes emotional responses (happiness, surprise, confusion, disgust, etc.) frame-by-frame as audiences watch video content.

  • Creative Pre-Testing

    End-to-end solution for testing video ad creative with opt-in panels before launch, delivering predictive scores for brand recall, purchase intent, and shareability.

  • Predictive Analytics Dashboard

    Reporting interface that translates attention and emotion data into actionable creative optimization recommendations and in-market performance predictions.

  • Attention Benchmarks

    Normative database of attention scores across categories, formats, and platforms enabling brands to contextualize their creative performance against industry norms.

Key features

Webcam-based passive facial coding at scaleReal-time emotion and attention signal analysisSecond-by-second video engagement scoringPredictive in-market performance modelingOpt-in consumer panel with global reachAttention benchmarking across categories and formatsIntegration with media planning and research workflowsNo specialist hardware required for participants

Use cases

Pre-testing video ad creative before media spendOptimizing video ad edits to improve attention retentionPredicting brand recall and purchase intent from creativeBenchmarking creative performance against category normsInforming media planning with attention quality dataEvaluating emotional resonance of brand storytellingComparing multiple creative variants for A/B decision-makingMeasuring attention across different video formats and platforms

Customer segments

Global brand advertisersMedia and creative agenciesMedia owners and publishersMarket research firmsCPG and FMCG companiesEntertainment and streaming platforms

Tech & specs

Technology stack

Computer visionMachine learning / deep learningFacial action coding system (FACS)WebRTC (webcam data capture)Cloud-based data processingPredictive modeling and regression analysisPython / data science frameworks

Security & compliance

GDPRCCPAOpt-in consent frameworksISO 27001

Deployment

Cloud

API

Yes

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