A leading provider of AI-driven attention and emotion measurement for video advertising, with one of the largest proprietary databases of human emotional response to ad content.
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 engage with 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 viewability before committing to media budgets. Its opt-in panel of consumers watches content via their webcam, and Realeyes' AI analyzes micro-expressions and attention signals in real time.
The platform sits at the intersection of creative effectiveness and media planning, offering metrics that go beyond traditional survey-based research. Realeyes has developed proprietary attention metrics that are increasingly used in programmatic media contexts, partnering with major platforms and measurement companies to integrate emotional and attention data into campaign planning workflows. The company has worked with major global brands including Unilever, Mars, and GSK, as well as leading agencies.
In the broader AdTech and market research ecosystem, Realeyes competes with biometric research firms and emerging attention measurement vendors. Its differentiation lies in its scalable, remote webcam methodology — enabling large sample sizes at lower cost than traditional lab-based biometric testing — and its growing suite of predictive AI models trained on one of the largest databases of human emotional response to advertising content in the industry.
Webcam-based facial coding at scale using opt-in consumer panelsReal-time AI analysis of micro-expressions and attention signalsSecond-by-second emotional engagement timeline for video contentPredictive KPI modeling for brand recall and purchase intentNormative benchmarking database across categories and marketsIntegration with media planning and programmatic workflowsCross-market and cross-demographic emotional response comparison
Pre-testing video ad creative before media spend to predict performanceIdentifying and editing underperforming moments in video adsBenchmarking creative effectiveness against category normsInforming media planning with attention quality metricsOptimizing video content for connected TV and digital platformsCross-market creative adaptation and localization testingMeasuring emotional response to branded entertainment and sponsorship content
Global FMCG and CPG brandsMedia and entertainment companiesAdvertising holding companies and agenciesMedia owners and publishersMarket research firms