Nielsen's Gracenote Launches 'Audience Predict' Tool

Nielsen's entertainment data provider Gracenote has launched a content analytics tool called Audience Predict, which forecasts the potential of future programming performance.

Acquired by Nielsen in 2016, Gracenote connects consumers to TV shows, movies, music and sports, and analyses their behavior. Audience Predict uses its content metadada, syndicated Nielsen audience measurement data, and advanced machine learning technology to provide real-time insights into how programs will perform and who they will attract, in order to inform buying and selling activities.

The new tool analyzes relationships between streaming service or network distribution outlets and anticipated potential program performance, using years of proprietary Nielsen viewing data. This is used to forecast potential audience size, composition, reach, and viewing minutes under different distribution scenarios, by considering program genre and drop patterns for streaming content or airdate, airtime and lead-in for linear content. Using machine learning, the model will iteratively improve and can be trained to output new program performance metrics based on customer needs.

Chief Product Officer Simon Adams (pictured) comments: 'By helping the content community see into the future around program performance today, we're helping them solve one of the most vexing issues they face - distribution complexity. This expands our larger Content Analytics offerings which help the entire media industry make more informed decisions'.

Web site: www.gracenote.com .

All articles 2006-23 written and edited by Mel Crowther and/or Nick Thomas, 2024- by Nick Thomas, unless otherwise stated.

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