Real Engagement And Loyalty (REAL)
www.realengagementandloyalty.comCHARACTER & EMOTION Content creates emotional landscapes. How you feel when watching TV is as important as what you watch. REAL generates Character & Emotion data enabling Networks/Publishers to offer a broader contextual targeting palette for Advertisers, improving the ad experience for Consumers globally. OUR TEAM REAL is the for-profit arm of REAL.ORG, a social enterprise of researchers/ethicists whose IP is applied by REAL to products that drive measurable business and ethical outcomes. The REAL team comprises professionals from Marketing (Digital, CX), Media (Linear/Streaming TV), Media Psychology and Data Science. OUR METHODOLOGY REAL's methodology is based on the Character Science of Positive Psychology, proven by decades of research, validated in multiple studies and experiments. The methodology classifies Content using patented, humanistic Character & Emotion metadata. We offer a data dimension additive to behavioral, demographic, category/genre, and location data. OUR SCIENCE Character & Emotion metadata are generated by our patented, scientifically validated algorithms, which ingest and analyze content in any medium and format to generate scores on 24 character strengths. REAL uses machine learning, neural networks, and new data classes to provide customized updates to clients on an ongoing basis to improve their KPI’s. REAL CONTEXT Our launch application is Emotionally Intelligent Contextual Advertising. REAL’s metadata is generated at scale from Streaming content, and with a small integration leveraged in ad stacks to drive measurable KPIs for advertisers. Our approach is interoperable. REAL’s metadata can be integrated with any behavioral, research and ad testing tools, OUR VALUE PROPOSITION REAL goes “Beyond Impressions” and “Beyond Engagement” to offer distinctive value to the Strategy/Sales teams of Advertisers/Publishers. REAL connects Brands to Consumers through meaningful relationships and ensures positively resonant ad experiences.
Read moreCHARACTER & EMOTION Content creates emotional landscapes. How you feel when watching TV is as important as what you watch. REAL generates Character & Emotion data enabling Networks/Publishers to offer a broader contextual targeting palette for Advertisers, improving the ad experience for Consumers globally. OUR TEAM REAL is the for-profit arm of REAL.ORG, a social enterprise of researchers/ethicists whose IP is applied by REAL to products that drive measurable business and ethical outcomes. The REAL team comprises professionals from Marketing (Digital, CX), Media (Linear/Streaming TV), Media Psychology and Data Science. OUR METHODOLOGY REAL's methodology is based on the Character Science of Positive Psychology, proven by decades of research, validated in multiple studies and experiments. The methodology classifies Content using patented, humanistic Character & Emotion metadata. We offer a data dimension additive to behavioral, demographic, category/genre, and location data. OUR SCIENCE Character & Emotion metadata are generated by our patented, scientifically validated algorithms, which ingest and analyze content in any medium and format to generate scores on 24 character strengths. REAL uses machine learning, neural networks, and new data classes to provide customized updates to clients on an ongoing basis to improve their KPI’s. REAL CONTEXT Our launch application is Emotionally Intelligent Contextual Advertising. REAL’s metadata is generated at scale from Streaming content, and with a small integration leveraged in ad stacks to drive measurable KPIs for advertisers. Our approach is interoperable. REAL’s metadata can be integrated with any behavioral, research and ad testing tools, OUR VALUE PROPOSITION REAL goes “Beyond Impressions” and “Beyond Engagement” to offer distinctive value to the Strategy/Sales teams of Advertisers/Publishers. REAL connects Brands to Consumers through meaningful relationships and ensures positively resonant ad experiences.
Read moreCountry
State
New York
City (Headquarters)
New York City
Industry
Employees
1-10
Founded
2019
Social
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Technologies
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