Churn Prevention

Planet Fitness's rejoin rate sits in the mid-30% range — meaning roughly one-third of members who cancel eventually come back. That's a cycle of acquisition cost, lost revenue, and re-acquisition cost that repeats millions of times per year. With 20.8 million members and no deployed predictive analytics, the company has no early warning system to identify members drifting toward cancellation. Industry benchmarks show AI-driven retention programs reducing attrition by 25% within six months. Even a 5% reduction in churn across your base would preserve tens of millions in annual recurring revenue.

This capability builds predictive churn models using check-in frequency, app engagement decay, amenity utilization patterns, payment history, and seasonal behavior signals — all data already flowing through ABC Fitness IGNITE and the PF app. It risk-scores every member daily, identifies at-risk members weeks before they cancel, and triggers automated personalized re-engagement campaigns: targeted offers, workout suggestions, class invitations, or a personal outreach from their home club. Your franchisees retain more members. Your same-store sales grow. Your acquisition costs drop.