Challenge
One of the leading streaming platforms was struggling with low user engagement and a high churn rate after a short period of use. Despite its extensive content library, many customers had difficulty finding movies and music that interested them, leading to frustration and abandonment of the platform. Standard, general recommendations proved ineffective.
Action
- Data collection and analysis
The iPresso system collected and analyzed a wide range of data, including demographics, viewing history, and preferences. - Use of Feed Manager
By using Feed Manager, the company was able to offer personalized recommendations tailored to the user's interests and activity. - Implementation of personalized recommendations
The company integrated iPresso with Vertex AI, which provided users with dynamic recommendations that changed depending on their actions.
The iPresso system suggested, among other things, the most frequently selected movies, similar to those recently viewed. - Real-time recommendations
Suggestions appeared immediately after viewing, based on recently consumed content. - Push notifications
Users received personalized notifications about new releases and premieres of films from their favorite categories.
Results
- User engagement increased by 24%.
- Time spent on the platform increased by 17%.
- The churn rate decreased by 19% and user retention increased.
