Most international dental revenue is lost inside the operation, after the inquiry has already been paid for.
Marketing is measured obsessively; the operation that receives the result is often measured not at all. This page maps eight places where international dental patients stop moving, what usually causes each one, and which metric makes it visible. Causes are described as possibilities to investigate — not as diagnoses, and not as guaranteed financial outcomes.
Symptom · possible operational cause · metric to watch · how PFI adds visibility.
Symptom: inquiries answered late or never. Possible cause: no single queue across channels and shifts. Metric: first-response time and unanswered inquiry count. PFI: one intake queue with owner and response clock.
Symptom: cases stuck without X-rays or photos. Possible cause: requests made once, in a chat thread, with no owner. Metric: case-information completion rate. PFI: per-case checklist with request state and waiting time.
Symptom: complete cases waiting days for an opinion. Possible cause: review depends on one clinician's inbox. Metric: clinical-review completion time. PFI: routing, queue and turnaround visibility per reviewer.
Symptom: reviewed cases that never become a documented plan. Possible cause: no defined handover from clinical decision to patient proposal. Metric: treatment-plan generation rate. PFI: plan objects with state and owner.
Symptom: patients who simply stop replying and are never contacted again. Possible cause: follow-up depends on memory and workload. Metric: follow-up coverage. PFI: stage-aware follow-up queue and coverage reporting.
Symptom: agreed patients who never confirm dates or deposits. Possible cause: no explicit booking stage between yes and calendar. Metric: quote-to-booking rate and deposit rate. PFI: booking and deposit state per patient.
Symptom: booked patients who do not arrive. Possible cause: no contact between deposit and travel date. Metric: arrival rate. PFI: pre-arrival checkpoints and travel-state visibility.
Symptom: multi-stage treatments that stop after the first visit. Possible cause: no recall owner once the patient flies home. Metric: treatment completion and second-visit rate. PFI: recall queues built from treatment history.
Visibility first. Operational change follows from what the clinic can finally see.
Every open case sits in a defined stage with an owner and a next action date.
Open treatment value is visible per stage, so the largest silent loss is obvious.
The question stops being “are we busy?” and becomes “what share of open cases were actually contacted?”.
Inquiries with no meaningful reply.
Qualified patients blocked before clinical review.
Sent plans with no patient reply and no next contact.
Value represented by plans that have not converted.
Share of open cases contacted within their interval.
Bookings that did not arrive.
Sample Data
No. PFI makes operational loss visible and gives the team a structure to act on it. Financial outcomes depend on the clinic's clinical capacity, pricing and execution.
No. Every number shown on this site is illustrative sample data. Your own figures come from your own operation.
Usually at the largest single drop-off. The simulator identifies it from your inputs so the first fix is the one with the most visible impact.
No. Pricing, market fit and case mix all play a role. The point is to separate what the operation controls from what it does not.
Enter your own numbers and see which stage is costing the most visible treatment value.