Streaming Media Platforms

Deliver content to your customers that is personal, relevant & engaging.

Introduction

Today, customers are empowered by choice and expect personalized experiences from their digital content, whether that’s videos, streaming music, or online gaming.

Alie is an AI-powered Recommendation Engine for streaming media platforms that are looking to create a personalized user experience across websites and applications. Alie’s unique machine learning algorithms are designed to analyze user data and recommend personalized content in real-time with impeccable accuracy. Alie helps you differentiate your user’s experience through personalized content.

Highlights

  • Recognize Your Customers
  • Understand the Business Context
  • Personalized Streaming Experience
  • Promote Binge-watching
  • Faster and Efficient Content Discovery
  • Distribute Content Based on Demography

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Recognize your customers

Recognize Your Customers

Identify users and their accounts across your digital streaming media platforms, match anonymous and known users to named profiles, tailor customer identity matching policies, and build more accurate customer records.

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Understand the business context

Understand the Business Context

Automatically catalog all videos, episodes, genres, categories, and associated metadata to power machine learning algorithms. Capture referring source, viewer ratings, viewing history, etc. Catalog Information about the categories, year of release, title, genres, and more.

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Personalized Streaming Experience

Personalized Streaming Experience

Having a recommendation engine lets you focus on every customer’s preferences equally. Whenever a new subscriber joins your OTT channel, he/she expect to find the content matching their preferences. A recommendation engine like Alie provides your customers with what they are looking for instead of showing them non-relevant content.

Personalized-Streaming-Experience

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Promote-binge-watching

Promote binge-watching

Promote Binge-watching

“Binge-watching," describes the habit where subscribers watch multiple episodes of a television show consecutively, unlike weekly tv programs of old times. Recommendation engines have a great role to play when it comes to binge-watching, better the quality of recommendations more the number of people who will watch the recommended content.

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Faster and efficient content discovery

Faster and Efficient Content Discovery

Subscribers will be glued to your streaming platform if they discover the relevant content on the go. Let us understand this with an example - If a subscriber is watching a final episode of a thriller series and finds another thriller series in the recommended content, then the subscriber is most likely to watch a trailer at least. Recommendation System like Alie with its number of data churning algorithms quickly understands the user’s choices and improves the overall content discovery experience.

Faster and Efficient content discovery

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Demography based content

Distribute Content based on Demography

Distribute Content Based on Demography

If your content is targeted towards particular demography it’s always beneficial to consider the user traits of that demography such as - language, race, religion, and age. For example, if you are running a fitness-related app, it is important to consider the audience’s language, age, and other health parameters in your target demography. Alie provides pre-filters using which you can refine your recommendations for particular demography.

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Recommend Personalized Content | Engage Viewers | Provide Personalized User Experience
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