Know which members are about to cancel — before they do.
Per-member risk scoring across reservation cadence, usage trends, completion, cancellation, and location diversity.
The problem
What operators actually say.
“The first signal of a cancellation is the cancellation.”
“Member-success teams don't know who to call this week.”
“LTV calculations live in a spreadsheet nobody trusts.”
How it works
Three steps from install to live.
Step 1
Connect your sources
Reservations, billing, and member records — no custom ETL required.
Step 2
Score every member
Weekly risk score with a clear reason code, not a black box.
Step 3
Act from the list
Member-success call list, prioritized by risk and LTV, delivered every Monday.
What's inside
Everything in Churn & LTV Dashboard.
Reason codes
Each score comes with the signal driving it — cadence, frequency, completion, cancellations.
Cohort comparison
This month vs. same month last year, by tier and by dock.
LTV and tenure
Realized LTV, projected LTV, and tenure distribution across the membership.
Location diversity
Members who only visit one dock churn differently than those who don't.
Export
CSV and API access so your CRM or calling workflow is the system of action.
The AI moment
The AI moment
Risk scoring across reservation cadence, frequency, usage trends, completion rate, cancellation rate, and location diversity. Models are trained on aggregated tenant data with strict isolation; no cross-tenant training.
Built on real operations
Proven at Freedom Boat Club Northeast Florida.
At FBC Northeast Florida, the Monday call list is the first artifact the retention team opens every week.
SOC 2 Type I in progress. AES-256 at rest, TLS 1.3 in transit. Customer data is never used to train foundation models.