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Watch Brazil Selects ContentWise Machine Learning Solution to Personalize User Experience

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São Paulo, August 27, 2019 – Watch Brasil, the new on-demand video platform for the Brazilian market, and ContentWise, the global provider of digital experience automation and personalization software for video operators, have signed a contract to integrate machine learning-powered user experience personalization capabilities in the Watch platform.

Watch Brazil is a turn-key streaming platform featuring current and market-relevant content catalogs of movies, series and kids entertainment. Designed for internet service providers and broadband operators, it supports a range of platforms on TV, computer and mobile.

ContentWise’s software introduces unprecedented levels of control and automation in the TV user experience, allowing operators to dynamically personalize the user interface, predict what users may want to watch and therefore improve their services stickiness, increasing content engagement and customer loyalty.

“One of the main pillars of our platform is to select and integrate cutting-edge technology. We already partner with Kaltura and Akamai. Now, by adding ContentWise, we can personalize the user experience using artificial intelligence and machine learning. This helps us assemble a richer profile of each of our customers, while delivering a unique experience, “

said Maurício Almeida, founding partner of Watch Brasil.

“Personalization of the UX is becoming the new way of delivering TV, and the only effective way to maximize the value of long-tail content and expand the reach of VOD services. Operators around the world are realizing the growing importance of customer experience personalized for local audiences tastes. With our technology we can help Watch Brazil offer a product with culturally-relevant experiences that speaks to local broadband subscribers eager to consume OTT services that fit their tastes.”

said Paolo Bozzola, CEO of ContentWise.

With the new technology, the Watch platform will recommend content selections based on the profile and preferences of each viewer. In addition, catalogs can be segmented automatically in micro-genres and themes, while targeted campaigns of new releases and offers can be created by mixing personalization and human editorial curation.

ContentWise works on three fronts: user experience personalization, analytics, and editorial management. ContentWise can show different versions of each page/screen to each user based on the context and the profiling data of the user. It also generates micro-genres, custom lists of content that are specific to each user’s taste. When a user interacts with the service, the solution assembles the ideal layout and populates the content in real-time, to match the viewer profile and optimize for maximum engagement.

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. With offices in Milan, Los Angeles and Singapore, ContentWise counts as customers leading brands worldwide, including Mediaset, SK Broadband, Sky, Telecom Argentina and Telefonica.

About Watch TV

Launched in October 2018 and headquartered in Curitiba (PR), the Brazilian company Watch Brasil is an on-demand video platform that gives internet providers the ability to work with multimedia and deliver 48h signatures and leases of movies from the largest and best studios of Hollywood. The 2.0 version of the platform, to be launched in 2019, will be a content aggregator marketplace, and will feature different applications. The startup already offers content from Sony Pictures, BBC, Paramount +, MTV, Comedy Central, Nick Jr., among others. Learn more: https://watch.tv.br/

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