Media Company Enhances Reach with Custom OTT Streaming App

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The leading media company in the United States, renowned for its diverse range of television channels, including news, entertainment, sports, and lifestyle. With a strong presence in traditional broadcasting, they sought to expand their reach and engage audiences from traditional broadcasting to OTT broadcasting.

Client Background

With a revenue of $1.5 billion and a workforce of 6,000 employees, Media company is one of the largest media companies operating several television networks and produce a wide array of content, from live sports events and breaking news to hit TV shows and documentaries. The growing trend of over-the-top (OTT) streaming was recognized by the organization to strengthen their digital footprint.

Industry

Entertainment & Media

Client Location

United States

Project Duration

14 months

Team Size

A Dedicated Team of 25 Professionals

Key Technologies

Swift (iOS), Kotlin (Android), Python, AWS, TensorFlow, PyTorch, OAuth 2.0, DRM

Project

Project Scope

The goal was to provide a seamless, user-friendly platform that supports multiple devices, offers personalized recommendations, and integrate advanced AI features to enhance user engagement.

Developed OTT app that seamlessly integrates with both web and TV platforms, ensuring a flawless cross-platform performance.

Implemented a screen mirroring feature to allow users to effortlessly watch their favorite shows on their TVs and desktops.

Offered personalized recommendations using custom recommendation engine.

Incorporated AI-powered voice search to enable users to find content quickly using natural language processing (NLP).

Safeguarded content and prevented unauthorized distribution by protecting your revenue streams using Digital Rights Management (DRM) technology.

Developed a monetization feature (e.g., AVO, SVOD, TVOD) for managing subscriptions, payment processing, and renewal notifications.

Provided options for ad placements and targeted advertising to generate additional revenue.

CDN feature was employed delivering webpages, videos, and other content to users from the closest possible location.

Powerful Analytics and Reporting was integrated to view real-time insights into how your videos are performing.

Approach

Our Approach

  • Market Research and Planning

    We conducted extensive market research understanding the target audience’s preferences and their viewing habits to identify key features and areas for improvement.

  • OTT App Design

    Our team created a responsive design to support web and TV platforms using industry-leading technologies to ensure compatibility across devices and impeccable integration with existing systems.

  • OTT Streaming App Development and Integration

    Developed a screen mirroring feature, integrated a CDN feature, and utilized DRM technology to deliver a superior multi-channel streaming experience to your audience.

  • AI Integration

    Leveraging artificial intelligence, we used personalized content recommendations, voice search, and predictive analytics to enhance user experience and engagement.

  • In-App Purchases

    Enabled in-app purchases to allow users to buy additional content, services, or features directly within the app.

  • Social Integration

    Integrate social media features to allow users to share content and connect with friends directly from the OTT mobile app.

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Challenges

Challenges Encountered

Offering live streaming app development services, the team listed challenges faced by Media company while integrating multiple OTT platforms seamlessly and optimizing performance for a diverse user base.

Content Delivery Optimization

Ensuring high-quality video streaming without buffering was a critical challenge. We implemented advanced content delivery network (CDN) solutions to optimize streaming performance.

User Personalization

Developing accurate AI algorithms for personalized content recommendations required significant data analysis and machine learning efforts.

Content Licensing

Negotiating licensing agreements for streaming rights was complex due to regional variations and exclusivity clauses.

Bandwidth Optimization

Ensuring smooth streaming even in low-bandwidth conditions posed technical challenges.

AI-ENABLED FEATURES

AI-Enabled Features Introduced

The streaming app incorporates AI-enabled features such as personalized content recommendations, intelligent search, and predictive viewing suggestions.

Personalized Content Recommendation Engine

Our AI/ML algorithms analyzed user preferences, viewing history, and context to suggest relevant content.

Content Tagging

AI automatically tagged content based on genre, mood, and actors, enhancing search and discovery, driving 3X user growth.

Dynamic Ad Insertion

AI-driven ad placement optimized revenue while maintaining a seamless viewing experience.

Predictive Analytics

AI algorithms predict trending content and viewer preferences to plan future content strategies and optimize advertising.

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Impact

Business Impact

The custom OTT streaming app has enabled the media company to:

3x

User Growth

3X user growth within an year of launch.

30%

Digital Reach

Increase their digital reach by 30%.

25%

Boost engagement

Boost engagement by 25%.

Viewing Sessions

Increase viewing sessions and reduce churn.