Gracenote unveils future programming performance predictor

Nielsen-owned metadata and technology specialist Gracenote has launched Audience Predict, a new content analytics tool that is designed to forecast potential future entertainment programming performance.

Using Gracenote content metadata, syndicated Nielsen audience measurement data and machine learning technology, Audience Predict equips content distributors and owners with predictive insights to make strategic decisions, according to the company.

Gracenote Audience Predict analyzes relationships between streaming service or network distribution outlets and anticipated potential programme performance utilizing cumulative proprietary Nielsen viewership data.

The service forecasts potential audience size, composition, reach, and viewing minutes under different distribution scenarios by considering programme genre and drop patterns for streaming content or airdate, airtime and lead-in for linear content.

Using machine learning, Gracenote says that the model will iteratively improve and can be trained to output new programme performance metrics based on customer needs.

According to Gracenote, Audience Predict can help content creators and owners identify the most potentially advantageous streaming platforms or networks for their content and develop packages for target buyers.

The solution is aimed to enable data-driven decision-making on programme acquisitions, renewals or cancellations for streaming and linear content distributors, forecasting which shows have the potential to draw the largest overall audience or best target segments.

“The media ecosystem primarily associates Gracenote with advanced search and content discovery enabling TV providers to connect viewers to programming, but our industry-leading entertainment metadata and IDs have equally strong applications powering new analytics which inform smarter business decisions,” said Simon Adams, chief product officer, Gracenote.

“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.”

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