ThinkAnalytics and Gracenote partner for personalised image solution

Content delivery and viewer insight solutions provider ThinkAnalytics has announced a deal with Gracenote to integrate its personalised imagery tech.

The companies said that the partnership will enable TV providers to improve personalised video search and recommendations. ThinkAnalytics’s images content recommendations algorithm is built on advanced AI and integrated with Gracenote’s offering which provides a differentiated set of images for each TV and movie title. 

The collaboration provides video service operators with a turnkey solution which they say will positively impact key consumption and engagement indicators.

Gracenote’s Personalised Imagery solution delivers a differentiated set of programme images representing distinct aspects of an entertainment title with each individual image tagged with relevant Gracenote Video Descriptors and Celebrity IDs. The Gracenote metadata associated with the imagery is used by ThinkAnalytics’ advanced AI and machine learning algorithms built into its content discovery platform to help surface the optimal image to each viewer based on preferences and history.

Peter Docherty, CTO of ThinkAnalytics, said: “We have proved that viewers connect with content in different ways through visual images, which is a breakthrough for how service providers can recommend content via their UX – and keep viewers engaged. We are excited to leverage Gracenote’s all-new sets of program imagery and associated metadata to bring the gold standard of personalised TV experiences to market.”

Simon Adams, chief product officer at Gracenote, said: “Improving content discovery by making it more personal and visually driven holds the potential to help entertainment providers of all sizes move the needle on key business metrics. We are thrilled to extend our long-running collaboration with ThinkAnalytics resulting in this new turnkey solution enabling customers to maximise engagement with content and viewership on their platforms.”

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