In this session with Spotify and Meta, we’ll showcase how advanced pLTV (predictive Lifetime Value) modeling—specifically multi‐state retention models—drives profitable user acquisition and sustained engagement. We’ll share how our teams collaborated to harness Meta’s pLTV optimization product, coupled with Spotify’s retention insights, to elevate both free MAU and premium subscriptions.

Attendees will learn:

• How retention underpins growth: Why predicting churn and user tenure is the linchpin for boosting overall platform health and revenue
• Multi‐state models in practice:  Get a behind‐the‐scenes look at our approach to modeling, informed by a dynamic set of features and user behavior, shape key product decisions
• Data‐driven trade‐offs: Hear real examples of balancing predictive accuracy versus model complexity, and how we integrated feedback loops through A/B tests
• Collaboration insights: Discover the unique synergies of working across teams at Spotify and Meta, combining in‐house product expertise with pLTV optimization
• Future roadmap: A sneak peek at upcoming approaches to predicting LTV, designed to drive deeper user retention and long‐term profitability

By attending this session, folks will learn how to supercharge their mobile app's growth by proactively predicting and reducing churn, refining acquisition, and boosting subscriptions.