Crowd Prediction

Planet Fitness's Crowd Meter is one of the app's most-used features — and one of its most-criticized. Members describe it as "deceptive" with a 10-bar scale that rarely reflects actual conditions. It's a rule-based system using real-time check-in counts with no predictive capability. Members can see how busy their club is right now, but they can't plan ahead. Overcrowding is a top driver of member dissatisfaction and a key factor in churn — members who consistently encounter full gyms stop coming.

This capability replaces the existing Crowd Meter with a predictive AI model trained on historical check-in data, time-of-day patterns, day-of-week cycles, weather forecasts, local school schedules, holidays, and seasonal trends. It shows members not just current occupancy but predicted crowd levels for every hour of the day — and recommends optimal visit times personalized to each member's schedule. It also gives franchisees demand forecasting for staffing decisions and capacity planning. Your members plan smarter visits. Your clubs run more efficiently. Your Crowd Meter becomes a competitive advantage instead of a complaint generator.