Tag: Personalization

Dynamic Pricing on Sports OTT: Maximizing Revenue through Personalization and Effective Monetization Strategies

Sports organizations can maximize profits and better engage with fans by using dynamic pricing in their OTT platforms. This includes tailoring prices to user engagement, demand, and loyalty, as well as tiered subscriptions, in-app purchases, pay-per-view, and advertising partnerships. Win-win solutions benefit both the organization and the fan.

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Wall Street Declares Netflix is Back – How the Streamer is Thriving Through Diversification, Personalization, And…

Netflix has made several strategic moves to remain competitive in the streaming market, leveraging user data and AI for personalization, creating omnichannel experiences, diversifying into retail, gaming, and live entertainment, as well as introducing advertising tiers and flexible subscription options. These initiatives have enabled Netflix to reduce churn and gain new subscribers.Netflix has made several strategic moves to remain competitive in the streaming market, leveraging user data and AI for personalization, creating omnichannel experiences, diversifying into retail, gaming, and live entertainment, as well as introducing advertising tiers and flexible subscription options. These initiatives have enabled Netflix to reduce churn and gain new subscribers.

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Wall Street Declares Netflix is Back – How the Streamer is Thriving Through Diversification, Personalization, And…

Netflix leveraged data, AI, and gaming to diversify its programming and optimize user experience. Features such as pausing, password restrictions, and ads helped enhance customer engagement and retention while expanding into live events, retail stores, and gaming added new possibilities.Netflix leveraged data, AI, and gaming to diversify its programming and optimize user experience. Features such as pausing, password restrictions, and ads helped enhance customer engagement and retention while expanding into live events, retail stores, and gaming added new possibilities.

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For Content Personalization, ‘Taste’ is All in the Data

Content personalization engines monitor viewer preferences to recommend similar content, resulting in increased viewership and linear TV viewing. Channels watched also increase by 30%. Such engines benefit broadcasters and help reduce churn and keep viewers engaged, using tools such as AI, voice-based search, and image recognition. Ensuring user privacy must be maintained for trust.Content personalization engines monitor viewer preferences to recommend similar content, resulting in increased viewership and linear TV viewing. Channels watched also increase by 30%. Such engines benefit broadcasters and help reduce churn and keep viewers engaged, using tools such as AI, voice-based search, and image recognition. Ensuring user privacy must be maintained for trust.

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Streaming Success Depends on the Flexibility to Choose When to Curate and When to Automate

Content discovery is integral to streaming user experience, and automating content curation and personalizing the user experience are two ways to ensure people find something they want to watch easily. Automated curation can be used to create collections of video assets based on criteria such as genre or release year, while personalization places similar assets in front of individual users. Personalization has been shown to result in viewers watching almost twice as much content.

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Netflix Launches New Personalized Hub Tab on Mobile Phones

Netflix has launched My Netflix, a personalized mobile hub tab for easier discoverability of its series and films. With shortcuts to downloads, show reminders, and quicker access to content than ever before, the one-stop shop enables more control over programming choices than the streaming giant’s algorithmically suggested suggestions. The tab also gives notifications, reminders, and other features. Interact with Netflix to build content tailored to user preference.

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The Benefits of Content Personalization for Digital Publishing

Artificial Intelligence (AI) and Machine Learning (ML) make it easy to create personalized user experiences. If you are a digital publisher, you can use AI/ML to display and recommend content that is tailored to the interests of an individual user. Personalization can improve customer satisfaction, increase user engagement, and reduce the workload of editorial and content creation staff. This blog post discusses how you can use Amazon Personalize , an AI/ML service from Amazon Web Services (AWS), to customize your publications. The benefits of personalization The value of personalization is proven across multiple industries. A 2021 report from McKinsey & Company found that 71% of customers expect companies to deliver personalized interactions online and preferred companies that recommended content and products based on their preferences. Companies that implemented personalization saw a 10 to 15% revenue lift from those activities. Digital publishers achieve similar benef…

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