Catch the cancellation weeks before it's decided.
A member who's about to leave almost always tells you first, in visits that thin out and plans left untouched. BOMKGPL reads those signals, scores the risk, and acts while the relationship can still be saved.
No crystal ball. Just signals, read early.
The risk score is built from patterns any observant owner would notice, if they could watch every member at once.
Attendance drop-off
Visits falling below a member's own established rhythm, the earliest and strongest signal.
Widening gaps
Longer and longer stretches between sessions, even before visits stop entirely.
Engagement fade
Plans left unopened, sessions unlogged, classes booked then skipped.
Payment friction
Late payments and failed renewals that often precede a quiet exit.
A risk score is a prompt, not a verdict.
The model surfaces members who match patterns that usually precede cancellation. It won't be right every time, and it isn't meant to be. Its job is to point staff at the right ten conversations this week, not to close the file on anyone.
The right nudge, sent before it's too late.
When risk rises, BOMKGPL can send a timely, personal-feeling message, or hand the member to a staff member with the context ready. No generic blasts.
See who's drifting on your floor
Bring rough numbers and we'll walk through how risk scoring would surface your quiet leavers.