How Netflix and Spotify Use Churn Prediction to Keep Subscribers

Netflix and Spotify lose millions of subscribers every quarter to voluntary churn. In this episode, Lucas and Luna dive into how both companies build churn prediction models using behavioral data like pause patterns, skip rates, and playlist abandonment. They examine a specific case: how Spotify's churn model flagged users who stopped saving new songs for three weeks, and how Netflix's model watches for the 'half-watch' signal on originals. The conversation explores the data points these models use, the false positive problem, and what happens when a streaming service knows you're about to cancel before you do. A grounded look at retention engineering that doesn't require a data science degree to follow. #Netflix #Spotify #ChurnPrediction #SubscriberRetention #StreamingTech #DataScience #MachineLearning #UserBehavior #Cancellation #RetentionModels #ContentStrategy #StreamingEconomics #EngagementMetrics #Business #Technology #FexingoBusiness #BusinessPodcast #StreamingWar Keep every episode free: buymeacoffee.com/fexingo