A Tubi
success story
Hyper-personalized user experiences drive increased advertising revenue
The need
Partnering with over 250 media companies, Tubi has more than 30,000 movies and TV shows globally. As a free ad-supported platform, Tubi is an ideal alternative to paid streaming subscriptions services. Tubi’s platform is fueled by a robust content recommendation engine that pairs viewers with the content they love, which is a huge draw for Tubi’s growing young and diverse audience and the brands looking to reach these audiences. Tubi has low ad loads and frequency optimization offering the ideal ad experience for both consumers and brands.
As Tubi’s popularity rose, the development team was working around the clock trying to scale the existing systems with more hardware. Simultaneously, the development team was trying to improve the user experience by adding layers of machine learning driven recommendations to further individualize the customer experience.
The challenge
Tubi was in search of a single platform that could:
- provide the always on, responsive experience their demographic have come to expect
- automatically scale on demand
- handle the complexity that comes with a Video On Demand service
- bring together big data and machine learning for hyper-personalized content recommendations
- enable developers to focus on business logic, not break-fix bandaids across a distributed system
- easy and robust integration with numerous technologies already in use such as gRPC, ScyllaDB, Postgres, Datadog, Spark, AWS, etc.
The chosen solution also needed to be able to keep up with Tubi’s fast pace of innovation and be implemented quickly to keep pace with business goals.