Challenge
One of Europe's largest streaming platforms was struggling with user disengagement. Despite its huge library of movies and TV shows, viewers were spending too much time searching instead of watching. The lack of well-chosen recommendations led to frustration, rapid boredom with the platform, and ultimately to subscription cancellations. The company needed an intelligent solution that would automatically suggest what to watch based on users' previous choices.
Action
- Detailed analysis of viewing history
The iPresso system checked what movies and TV series the user watched and what genres they chose. - Personalized recommendations
The system automatically recommended content based on what other users with similar tastes were watching, and also suggested titles that were similar to those already viewed. - Dynamically changing recommendation frames
The website displayed several recommended movies and TV series, which changed based on previously obtained data. - Tailored notifications
Users received automatic notifications (in the app as mobile push notifications, via text messages, and by email) about new titles that matched their preferences.
Results
- User engagement increased by 25%.
- Viewership of new content increased by 16%.
- The churn rate fell by 21%.
- Customer satisfaction, as measured by NPS surveys, increased by 14%.
