Nielsen’s Gracenote Launches New Audience Prediction Tool


EMERYVILLE, California.—Nielsen’s Gracenote unveiled Audience Predict, a new content analysis tool that predicts the potential future performance of entertainment programming.

Audience Predict leverages Gracenote content metadata, Nielsen audience measurement data, and advanced machine learning technology to provide distributors and content owners with predictive information that will help them maximize their return on investment in programming, the company said.

Audience Predict joins Inclusion Analytics in Gracenote’s new suite of content analytics offerings, designed to equip the entertainment industry with tools to help businesses better understand what to produce, who to stream, and where to place programming to maximize audience reach and return on investment, Gracenote mentioned.

“The media ecosystem primarily combines Gracenote with advanced search and content discovery that enables TV providers to connect viewers to programming, but our cutting-edge entertainment metadata and identifiers have equally powerful applications fueling news. analytics that inform smarter business decisions, ”said Simon Adams, chief product officer, Gracenote. “By helping the content community envision the future of program performance today, we’re helping them solve one of the most difficult issues they face – the complexity of distribution. This expands our broader content analytics offerings that help the entire media industry make more informed decisions.

Audience Predict analyzes the relationships between the streaming service or networked distribution points and the anticipated potential performance of the program using years of proprietary audience data from Nielsen, the company said.

The solution predicts the size, composition, reach and potential listening minutes of the audience in different distribution scenarios taking into account the genre of the program and the drop-out patterns for the streaming content or the broadcast date. , airtime and intro for linear content. Using machine learning, the model will iteratively improve and can be trained to generate new measures of program performance based on client needs.

Additionally, Gracenote said Audience Predict can help content creators and owners identify the most potentially beneficial streaming platforms or networks for their content and develop compelling program packages for target buyers. The solution enables data-driven decision-making regarding program acquisitions, renewals or cancellations for streaming and linear content distributors, predicting what shows they have the potential to attract the largest audiences. global or the best target segments.

More information on Audience Predict is available at www.gracenote.com/video/audience-predict/.


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