DX / Differentials / PE PLATFORMS & ROLLUPS

D-02 — NEW PATIENT VOLUME · PE-BACKED PLATFORMS

New patient volume is short of plan — PE platforms

Demand arrives; booked, shown, treated work does not

DIFFERENTIAL — LIKELY CAUSES, MOST LIKELY FIRST

1. 01

   Leakage between inquiry and a booked appointment, most of it undocumented

   Inquiries and referrals arrive and disappear without a recorded outcome. The loss is invisible because the system has no field for it — which is also why every site can blame a different link with equal confidence.

   Patel et al., Journal of General Internal Medicine 2018: of 103,737 referral scheduling attempts, only 34.8% completed. A further 38.9% had no documented status at all — inside a single integrated health system with a shared record. Nearly two in five attempts simply had no recorded outcome.

   Patel et al., J Gen Intern Med 2018 (verified at source)

   NOT THIS IF — Every inquiry in your system carries a terminal disposition. If you can produce that report in an afternoon, the leak is downstream of booking.

2. 02

   Access — the demand is real and the calendar cannot take it

   A patient offered an appointment three weeks out is a patient shopping. The pipeline is not thin; it is aging out, and the loss records as a no-book rather than as a capacity failure.

   Henry Schein One, 2026 Catalyst Index: 7-day versus 23-day time to appointment separates top-performing groups from typical ones — and top performers do not necessarily spend more on marketing. On new patients per location per month the same Index shows an average of 39 against 82 at the top 10%, with the full performance ladder published: under 39 below average, 39–45 average, 45–65 strong, 65–81 approaching top, 82+ top 10%.

   Henry Schein One, 2026 Catalyst Index

   NOT THIS IF — Third-available appointment is inside a week at every site and the pipeline is still thin.

3. 03

   Conversion at the chair, not at the desk

   The patient books, arrives, is seen — and does not proceed. This looks identical to a thin pipeline in a board deck, and it is a completely different problem with a completely different owner.

   Henry Schein One: case acceptance runs 45% at typical groups against 75% at top performers. In the cosmetic line, Zenoti's CY2025 platform data shows rebooking within 24 hours at 40% average against 69% among top earners — the same mechanism, measured after the first visit rather than before treatment.

   Henry Schein One, 2026 Catalyst Index; Zenoti CY2025 medspa platform data

   NOT THIS IF — Consults convert at the top of the published band and the shortfall is upstream of the appointment.

4. 04

   Utilization — the delivery hours are available and unsold

   The pipeline looks thin because nothing is filling the calendar, not because nothing is arriving. This is measurable in a day and is routinely never measured.

   Zenoti, CY2025 platform data: staff utilization runs 38% at the median, 56% at the 75th percentile and 80% at the 90th — a top decile more than twice the median. Planet DDS shows the intra-site version: Friday production $7,388 against Tuesday $10,152, with Friday 27% lower at the same site with the same providers.

   Zenoti CY2025 medspa platform data; Planet DDS 2026 Outlook

   NOT THIS IF — Utilization is already above the 75th percentile band and the calendar has no sellable gaps.

5. 05

   Booking friction — the pipeline can only enter through a phone

   If the only route in is a call during business hours, the pipeline is capped by whoever is at the desk. The demand does not show up as lost; it never shows up at all — which is why online booking in the site template is a platform decision rather than a per-site one.

   Zenoti, CY2025: online booking rate runs 13% at the median, 18% at the 75th percentile and 32% at the 90th. The top decile books online at roughly 2.5× the median rate.

   Zenoti CY2025 medspa platform data

   NOT THIS IF — Online booking share is already near the published top decile and the pipeline is still thin. Then the friction is elsewhere.

HOW TO TELL THEM APART

How to tell these apart in your own numbers

Each of these is a measurement you can run yourself, without us.

WHAT RESOLVES EACH

What resolves this, and how you will know it resolved

Leakage between inquiry and a booked appointment, most of it undocumented	Rx 03 · patient conversion →	Instrument the desk so every inquiry has an owner and an outcome. This is the cheapest fix on this page and the one most likely to be the whole answer.
Access — the demand is real and the calendar cannot take it	Rx 03 · patient conversion →	Same-day capacity matching and routing across sites. What does not work: buying more demand into a 23-day wait. It lengthens the wait and raises the cost of every patient behind it.
Conversion at the chair, not at the desk	Rx 03 · patient conversion →	Partly ours — presentation, financial options, follow-up on unscheduled treatment. Largely not: a provider-level acceptance spread is a clinical-communication and coaching problem, and we will say so rather than sell against it.
Utilization — the delivery hours are available and unsold	Rx 03 · patient conversion →	Route demand to the empty hours rather than to the busy site. A platform's advantage over a single practice is that it has somewhere to send the overflow — most never use it.
Booking friction — the pipeline can only enter through a phone	Rx 02 · medical practice websites →	Online booking and routing built into the hub-and-location templating, so every site inherits it rather than each solving it. Then Rx 03 makes the bookings land on real capacity.

HOW THIS DIFFERS BY SCALE

How this differs by scale

Single site	One site can diagnose this in a week and often fix it without spending anything. Read the specialty differential directly: /marketing-problems/dental-groups-dsos/new-patient-volume/, /marketing-problems/dermatology-groups/new-patient-volume/, /marketing-problems/multi-specialty-mso/new-patient-volume/ — the MSO page carries the referral-leakage version in full.
Group	Across a few sites the failure mode changes: the leak is usually one site and the platform average conceals it. Measure by site before you measure the platform.
Platform	At scale the pipeline problem is nearly always a routing problem — demand and capacity both exist, at different addresses, on different days. The platform-specific asset is cross-site routing — one demand system rolled across cohorts rather than one per add-on — and it is the thing most rollups never build.

OTHER PRESENTATIONS — PE PLATFORMS & ROLLUPS

• Same-store flat while the unit count rises
• Blended CAC is rising and nobody can say why
• Same brand, same playbook, a distribution instead of a result
• The growth story has to survive diligence, not just the pitch