ContentWise and Vionlabs partner to deliver advanced video personalization, uplifting recommendation accuracy up to 83%

Milan, Stockholm – October 20th,  2021

As the global arms race for streaming content and subscribers heats up, the M&E industry is looking at technology partners to deliver richer data, a more engaging user experience, and better business outcomes.

To help broadcast, cable, satellite, OTT, and streaming operators elevate their services’ user experience, ContentWise and Vionlabs have inked a partnership that combines their respective personalization and video analysis solutions.

ContentWise, a pioneer in UX personalization for video operators, helps media brands deliver rich, bespoke, and smart digital customer experiences at every touchpoint. ContentWise’s AI personalization technology is used by OTT and streaming operators to process usage data and content metadata to orchestrate and personalize, in real-time, the UI and user experience of millions of subscribers, while providing a unique, individual experience to each.

Vionlabs utilizes computer vision and machine learning to automatically generate previously unavailable video fingerprinting data such as mood. With its AI video content analysis technology, Vionlabs extracts granular metadata from videos in 16 different dimensions, such as scene mood (e.g. “captivating” or “high-octane”) and binge markers. Vionlabs’​ technology enriches content metadata by making the elusive emotional gradient that images and sound convey explicit and measurable.

Combined, the two technologies enable unprecedented levels of recommendation accuracy and new, distinctive personalization use cases. In particular:

• Vionlabs mood categories, coupled with ContentWise dynamic categories, which automatically create personalized micro-genre collections for every user, power mood-based personalized recommendations. Users can enjoy very specific and individual genres based on their moods and past behaviors;
• Thanks to ContentWise’s advanced management of serialized and episodic content, and Vionlabs’ automatic AI-detection of intro, recap and credit, operators are able to readily deploy smooth, seamless binge-watching use cases;
• They overcome the lack of rich metadata by automatically generating meta-information processing video frames for any content and by introducing potent new similarity  attributes. As a result, personalized recommendation use cases can better foster serendipitous discovery thanks to surprising and unusual selections a user might not have otherwise discovered.

After running detailed experiments, smartly combining and integrating Vionlabs fingerprints to a standard set of metadata, ContentWise finds an increment in accuracy improvement up to 83% in the typical scenario seen at most operators. Plus, the solutions synergies contribute up to 56% catalog coverage improvements.

About ContentWise

ContentWise is the AI-powered customer experience company that provides leading video operators, digital publishers, and online retailers with the software and expertise they need to create rich, personal and smart CX at every digital touchpoint.

Thanks to personalization and automation technology, ContentWise helps marketing, editorial, and merchandising teams understand what each customer needs, wants and values, maximizing each customer’s lifetime value.

By enriching catalog data, analyzing users’ behavior, personalizing interactions, enabling discovery, automating editorial tasks and orchestrating the entire digital customer experience, ContentWise increases customer conversions, loyalty, and retention.

About Vionlabs

Vionlabs was founded to solve the issue of a lack of meaningful data in online video, which is crucial for media businesses to make better decisions throughout video acquisition, production and distribution processes, the need for which is becoming more pronounced as the streaming wars intensify. It addresses this through a series of highly innovative AI-networks that use multi-layered deep scene-by-scene content analysis to create the industry’s most advanced analysis of video content, taking into account key factors such as audio, pace and color to create a unique fingerprint of each content asset.