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Mediaprobe’s three-piece research technology suite is the new standard for
media measurement. Fueled by advanced machine learning, Emotional Impact
Score (EIS) is measured by three components: a sensor, an app, and a platform.
The proprietary, wireless, hand-held sensor accurately captures panelists’ emotional signals second-by-second using galvanic skin response (GSR).
The mobile app flawlessly synchronizes the emotional data points with the precise moment of media content.
The platform identifies insights from the integrated scores and the “tagged” program elements, such as characters on screen, voiceovers, advertisements, and more.
Mediaprobe’s platform is the only way to measure true emotional attention.
Viewers can also answer custom surveys for additional information.
Viewers consciously track their emotions in real time using a dial on their phone to provide information about likes and dislikes during program content and promotional messages.
Mediaprobe is the most advanced research technology for tracking audience engagement with media — and the only way to measure emotion. Thousands of data points are quickly reviewed to derive insights that enable broadcasters, content creators and media sellers to optimize content and editorial decisions in real time and for the future — and prove the value of advertising and sponsorship investments.
Mediaprobe’s groundbreaking methodology is the first to reliably measure impression quality for every second of an audiovisual broadcast. The resulting scores have been shown to predict and prevent viewer loss. They also enable broadcasters to see how engagement varies across different contexts (live or streaming) and platforms (TVs, mobile screens), as well as benchmark Mediaprobe data vs. thousands of other data points.
By understanding viewer connection and optimizing program elements, broadcasters and content owners can grow their audiences, fan bases and advertisers.
All ad spots or editorial aspects — such as characters, announcers, camera angles — may be isolated using the Events Tagging tool, so the emotional impact metric for each event can be characterized and compared.
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