Gracenote introduces new video popularity scores

Gracenote’s new solution is similar to MIDiA Research’s recently announced MIDiA Index Score. (Gracenote)

Gracenote, which is owned by Nielsen, today launched Gracenote Video Popularity Score, a new product that compiles data to determine the most relevant programming for viewers.

The scores, which are being offered as part of Gracenote’s Advanced Discovery suite of metadata products, are based on a proprietary algorithm which analyzes consumption data covering linear TV, VOD and OTT from Nielsen Total Content Ratings, movie box office data from Gracenote, plus additional raw data from third-party sources. Awareness is calculated based on social media conversation measurement from Nielsen Social Content Ratings combined with engagement data from outside sources.

The idea is that providers can integrate the scores to find the most popular programming and then prioritize it in their user interfaces, personalized recommendations and search results.

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“Gracenote continues to help customers deliver optimal entertainment discovery experiences wherein viewers are connected to the movies and TV shows they want with the least amount of friction,” said Simon Adams, chief product officer at Gracenote, in a statement. “Our new Video Popularity Score empowers entertainment providers to identify and put the most relevant, watched and talked about TV shows and movies front and center. By enhancing content targeting, Video Popularity Score allows for sharper search results, highly topical recommendations and more relevant viewing options from cold-starts where data on user preferences or previous consumption is not available.”

Gracenote’s new solution is similar to MIDiA Research’s recently announced MIDiA Index Score. The service tracks 160 shows across the U.S., U.K., Canada and Australia, and follows market indicators including viewership, brand awareness, demographics, audience demand, subscriber market shares, fandom and social media metrics. The company combines those metrics with its proprietary audience data, and runs them through its Index algorithm.

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