Churn Prediction Scoring
Machine learning analyzes visit patterns, spend trends, and engagement signals to score each member's likelihood of canceling in the next 90 days.
Members visit 2.9x more and spend 35% more. Losing them costs you thousands.
Sarah M., Jennifer K., and Lisa T. have not visited in 45+ days despite active memberships.
View intervention recommendationsMost practices find out about member churn after the cancellation email. By then, you've lost months of revenue and a relationship that took years to build. What if you could see it coming 60 days before?
Members visit 2.9x more often and spend 35% more than non-members
Proactive tools that identify risk before it becomes churn.
Machine learning analyzes visit patterns, spend trends, and engagement signals to score each member's likelihood of canceling in the next 90 days.
Get notified the moment a member's health score drops below threshold. Includes context on why they're at risk and what to do about it.
Monitor visit frequency, spend trends, service utilization, and appointment history. See which members are engaged and which are fading.
Set rules to automatically trigger outreach when members hit risk thresholds. Personal call, special offer, or VIP experience before they leave.
Project future membership revenue based on current health scores, churn predictions, and growth trends. Know exactly where you'll be in 6 months.
Real-time visibility into your entire membership base
See how Membership Health Score identifies at-risk members before they cancel.
Free 15-minute demo. No commitment required.