Streaming Platform Boosts Engagement 40% with AI Recommendations

Generic editorial recommendations were failing to surface long-tail content, leading to high churn after subscribers exhausted hits.

• 1Editorial recommendations missing long-tail content
• 2High post-onboarding churn after subscribers consumed hit content
• 3Limited multi-language and cultural personalization

CloudGate deployed a personalization engine combining collaborative filtering, content embeddings, and contextual bandits.

• Personalized recommendations across home, search, and continue-watching
• Long-tail content discovery via embedding-based similarity
• A/B testing infrastructure for ranking variants

• Personalization now drives 65% of total viewing time