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- Mobile App
Media Company Enhances Reach with Custom OTT Streaming App
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.
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
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.
Project Scope of Custom OTT Streaming App
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.
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Developed OTT app that seamlessly integrates with both web and TV platforms, ensuring a flawless cross-platform performance.
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Implemented a screen mirroring feature to allow users to effortlessly watch their favorite shows on their TVs and desktops.
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Offered personalized recommendations using custom recommendation engine.
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Incorporated AI-powered voice search to enable users to find content quickly using natural language processing (NLP).
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Safeguarded content and prevented unauthorized distribution by protecting your revenue streams using Digital Rights Management (DRM) technology.
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Developed a monetization feature (e.g., AVO, SVOD, TVOD) for managing subscriptions, payment processing, and renewal notifications.
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Provided options for ad placements and targeted advertising to generate additional revenue.
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CDN feature was employed delivering webpages, videos, and other content to users from the closest possible location.
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Powerful Analytics and Reporting was integrated to view real-time insights into how your videos are performing.
Our Approach
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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.
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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.
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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.
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AI Integration
Leveraging artificial intelligence, we used personalized content recommendations, voice search, and predictive analytics to enhance user experience and engagement.
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In-App Purchases
Enabled in-app purchases to allow users to buy additional content, services, or features directly within the app.
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Social Integration
Integrate social media features to allow users to share content and connect with friends directly from the OTT mobile app.
Challenges Encountered by Media Company
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.
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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.
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User Personalization
Developing accurate AI algorithms for personalized content recommendations required significant data analysis and machine learning efforts.
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Content Licensing
Negotiating licensing agreements for streaming rights was complex due to regional variations and exclusivity clauses.
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Bandwidth Optimization
Ensuring smooth streaming even in low-bandwidth conditions posed technical challenges.
AI-Enabled Features Introduced While Custom OTT Streaming App Development
The streaming app incorporates AI-enabled features such as personalized content recommendations, intelligent search, and predictive viewing suggestions.
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Personalized Content Recommendation Engine
Our AI/ML algorithms analyzed user preferences, viewing history, and context to suggest relevant content.
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Content Tagging
AI automatically tagged content based on genre, mood, and actors, enhancing search and discovery.
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Dynamic Ad Insertion
AI-driven ad placement optimized revenue while maintaining a seamless viewing experience.
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Predictive Analytics
AI algorithms predict trending content and viewer preferences to plan future content strategies and optimize advertising.
Business Impact 0f Custom OTT Streaming App
The custom OTT streaming app has enabled the media company to:
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Increase their digital reach by 30%.
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Boost engagement by 25%.
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Increase viewing sessions and reduce churn.
Project Milestones We Achieved
| Milestone | Tasks | Timeline | Responsible |
|---|---|---|---|
| Project Kickoff | – Initial project meeting – Define project scope and objectives – Identify key stakeholders |
Month 1 | Project Manager, Stakeholders |
| Requirements Gathering | – Conduct interviews with stakeholders – Collect and document requirements – Define technical specifications |
Month 1 – Month 2 | Business Analyst, Technical Team |
| Design Phase | – Create wireframes and mockups – Develop UI/UX design – Review and finalize design |
Month 2 – Month 4 | Design Team, Product Manager |
| Development Planning | – Set up development environment – Define architecture and technology stack – Develop project plan |
Month 3 – Month 4 | Technical Lead, Development Team |
| Development Phase | – Build core features (user authentication, content streaming, etc.) – Integrate with backend systems – Implement security measures |
Month 5 – Month 9 | Development Team, QA Team |
| Testing Phase | – Conduct unit testing – Perform integration testing – Execute user acceptance testing (UAT) – Address bugs and issues |
Month 9 – Month 11 | QA Team, Development Team |
| Pre-Launch Preparation | – Prepare marketing and promotional materials – Develop user guides and help documentation – Train support staff |
Month 11 – Month 12 | Marketing Team, Support Team |
| Launch | – Deploy the app to app stores – Execute launch marketing campaign – Monitor app performance and user feedback |
Month 12 | Project Manager, Marketing Team |
| Post-Launch Support | – Provide ongoing technical support – Address user feedback and issues – Release minor updates and improvements |
Month 13 – Month 14 | Support Team, Development Team |
| Project Review & Closure | – Evaluate project success against objectives – Document lessons learned – Conduct final project review meeting |
Month 14 | Project Manager, Stakeholders |
