Solution Retail
AI Content Recommendations for Streaming Platforms
An Azure-based recommendation engine that personalizes content discovery across large catalogues to lift engagement and reduce churn for streaming platforms.
+40%Engagement lift
-18%Subscriber churn
3xLong-tail consumption
Typical outcomes for this kind of engagement. Results depend on your data and starting point.
THE CHALLENGE
Editorial curation works for a handful of hit titles but leaves most of a large catalogue undiscovered.
- Editorial recommendations covering hits while the long tail goes undiscovered
- High churn once subscribers finish the promoted content
- Limited personalization across languages and cultural preferences
OUR APPROACH
CloudGate deploys a personalization engine that combines collaborative filtering, content embeddings and contextual bandits to rank home, search and continue-watching surfaces for each subscriber.
- Personalized ranking across home, search and continue-watching
- Long-tail discovery through embedding-based similarity
- Contextual bandits balancing new content against known preference
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