THE CHART · Marketing problems · PE platforms & rollups

Admen · GROWTH PARTNERS FOR HEALTHCARE OPERATORS
BY APPLICATION · ~6 / QUARTER D-01

DX / Differentials / PE PLATFORMS & ROLLUPS

D-01 — PATIENT ACQUISITION COST · PE-BACKED PLATFORMS

Cost per new patient is climbing — PE platforms

Blended CAC is rising and nobody can say why

PRESENTATION — WHAT THE OPERATOR SEES

Blended CAC across the platform is up and payback has stretched. Nobody can tell the operating partner whether that is mix, market, media price, or conversion — because CAC is computed once, at the top, on a site set that changes every quarter. The cohort view the sponsor wants does not exist.

DIFFERENTIAL — LIKELY CAUSES, MOST LIKELY FIRST

  1. 01

    There is no benchmark for the number to be "up" against — the platform is comparing a moving denominator to itself

    Blended CAC moves whenever the site mix, the specialty mix or the acquisition mix changes, with no channel performing worse. A single top-line CAC across a changing site set is arithmetic, not a signal. The readable version is cost per new patient by site, on one definition, built from the ledger.

    Across a 48-source harvest — advisory firms, transaction databases, valuation practices and public filings — no source publishes CAC, LTV or payback benchmarks for PE-backed healthcare platforms. Sponsors compute them internally per platform and never disclose. This is the single largest gap in the vertical, and it is a gap in the market. Anything found publishing these numbers is, on present evidence, manufacturing them.

    ADMEN PE/rollup source harvest, 48 sources, 2026-07-25

    NOT THIS IF — CAC is already computed per site and per cohort on a fixed site set, and the rise persists inside that set. Then it is real and the cause is below.

  2. 02

    A scale effect running in reverse — add-ons import the high-CAC cohort

    Acquisition cost per patient is structurally higher at smaller sites. A platform that grows by buying sub-scale practices raises its blended CAC mechanically, by arithmetic, while every individual site holds its own cost flat.

    Cain Watters, compiled from actual client books in pediatric dental: cost per new patient averages $26.46 — but $44.47 at practices under $1.65M in collections against $25.42 at practices above it. That is 2.97% of collections versus 1.23%. The sub-scale cohort costs roughly 1.75× more per new patient. This is the only real acquisition-cost benchmark located anywhere in healthcare, and it comes from a dental-CPA channel rather than an association.

    Cain Watters (dental CPA practice-financial data, from client books)

    NOT THIS IF — Acquired sites' cost per new patient converges on the platform average within their first four quarters. Then you are integrating faster than you are diluting.

  3. 03

    The numerator is flat and the denominator is falling — conversion, not cost

    Cost per inquiry is unchanged; cost per booked, shown and treated patient rises, because fewer inquiries survive each stage. Every stage that leaks inflates CAC without any media price moving.

    Patel et al., Journal of General Internal Medicine 2018: of 103,737 referral scheduling attempts inside a single integrated health system, only 34.8% completed and 38.9% had no documented status at all. Henry Schein One's Catalyst Index shows the same mechanism at the practice level — 7-day versus 23-day time to appointment, 45% versus 75% case acceptance. In cosmetic derm, Zenoti's CY2025 platform data shows rebooking within 24 hours at 40% average against 69% among top earners.

    Patel et al., J Gen Intern Med 2018 (verified at source); Henry Schein One 2026 Catalyst Index; Zenoti CY2025 medspa platform data

    NOT THIS IF — Cost per inquiry is rising in step with cost per treated patient. Then the auction really did get more expensive and this is a media-market problem.

  4. 04

    Market density — sites are now bidding against each other

    A platform that has consolidated a geography ends up buying the same demand twice, at auction, from itself. CAC rises with owned density and no external competitor has to do anything.

    PESP's Private Equity Hospital Tracker, built on CMS Medicare-enrolled hospital and self-reported ownership files, shows how far this goes: 447 PE-owned hospitals as of June 2026, 9.5% of all private hospitals and 26.8% of proprietary for-profit hospitals. Texas holds 92 — 20.3% of the state's private hospitals. New Mexico holds 16 — 42.1% of the state's private hospitals. Density is real and it is state-specific.

    PESP, Private Equity Hospital Tracker (2026 update, CMS December 2025 data), read at source

    NOT THIS IF — Cross-site patient-origin ZIP overlap is negligible and no two owned sites appear in the same paid auction. Then density is not your cost driver.

  5. 05

    Mix — CAC is fine, the acquired unit is simply worth less

    The cost to acquire a patient did not move; the revenue that patient generates did. Payback stretches because LTV fell, and the operating partner reads it as a marketing failure.

    CMS Medicare Physician & Other Practitioners PUF, CY2024, across 12,616 dermatology-typed providers: the top-decile dermatologist bills 4.1× the median on 2.7× the patients. The gap is service mix, not panel size — Mohs first stage pays $581.52 against $6.22 for actinic keratosis destruction beyond the first lesion. Allowed amounts run $26,773 at the 10th percentile, $188,072 at the median and $777,069 at the 90th.

    CMS Medicare Physician & Other Practitioners Public Use File, CY2024 (federal claims data)

    NOT THIS IF — Revenue per encounter, per case or per chair is flat across the site set. Then the acquired units are worth what you thought and the problem is upstream.

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.

01 · There is no benchmark for the number to be "up" against — the platform is comparing a moving denominator to itself

Recompute CAC on a frozen cohort: only sites owned and open for the full trailing 24 months, with spend attributed at site level rather than allocated from the top.

CONFIRMS IF

CAC is flat or falling inside the frozen cohort while the blended platform number rises. The "increase" was mix.

EXCLUDES IF

CAC rises inside the frozen cohort too. The rise is real; keep going down the list.

02 · A scale effect running in reverse — add-ons import the high-CAC cohort

Split cost per new patient by site collections tier, cutting at the Cain Watters line of $1.65M, and express it both in dollars and as a percentage of collections.

CONFIRMS IF

Sub-scale sites cluster near $44.47 and 2.97% of collections while larger sites sit near $25.42 and 1.23% — and your recent add-ons are concentrated in the sub-scale tier.

EXCLUDES IF

Cost per new patient is flat across collections tiers. Scale is not driving your blend.

03 · The numerator is flat and the denominator is falling — conversion, not cost

Compute four numbers on the same denominator period, not one: cost per inquiry, cost per booked, cost per shown, cost per treated. The stage where the ratios diverge is the broken stage.

CONFIRMS IF

Cost per inquiry is flat while cost per treated rises. Somewhere between inquiry and chair, the funnel got worse.

EXCLUDES IF

All four rise together in proportion. Media price moved; the funnel did not.

04 · Market density — sites are now bidding against each other

Map patient-origin ZIPs by site and overlay them; separately, pull paid-search impression share and check whether owned sites appear against each other in the same auctions.

CONFIRMS IF

Owned sites share meaningful catchment and appear against each other at auction — you are bidding up your own cost.

EXCLUDES IF

Catchments are distinct and no self-competition appears in the auction data.

05 · Mix — CAC is fine, the acquired unit is simply worth less

Revenue per encounter, per case or per chair by site, against each site's own pre-acquisition trailing twelve months and against the platform median.

CONFIRMS IF

Acquired sites carry a materially lower revenue per unit. CAC did not rise; LTV fell.

EXCLUDES IF

Revenue per unit is tight across the set. The value of a patient is stable and the cost side is the story.

WHAT RESOLVES EACH

What resolves this, and how you will know it resolved

There is no benchmark for the number to be "up" against — the platform is comparing a moving denominator to itself Rx 04 · marketing attribution → Site-level CAC on a fixed cohort, with cohort payback, reconciled to the income statement. Because no external CAC benchmark exists in this vertical, the only defensible comparison is your own frozen cohort over time — build that and you have something diligence can test.
A scale effect running in reverse — add-ons import the high-CAC cohort Rx 04 · marketing attribution → First make the mix visible so the board stops reading arithmetic as decay. Then Rx 03 · intake-and-ops is what actually moves a sub-scale site toward the larger-site cost structure — it gets there on conversion, not on spend.
The numerator is flat and the denominator is falling — conversion, not cost Rx 03 · patient conversion → What does not work: more spend. Against a 34.8% completion rate, doubling spend doubles the leak at full price. See also /marketing-problems/private-equity/new-patient-volume/.
Market density — sites are now bidding against each other Rx 01 · patient acquisition → Deduplicate the auction, geo-fence by catchment, and route shared demand to capacity rather than to whichever site bid highest. Real work, and unglamorous.
Mix — CAC is fine, the acquired unit is simply worth less not a marketing engagement, mostly → Acquisition can shift which patients arrive; it cannot change what a provider is credentialed, trained or contracted to perform. A 4.1× billing gap driven by Mohs versus lesion destruction is a clinical, credentialing and payer-contracting decision. Say so to the sponsor before they spend against it.

WHAT "RESOLVED" LOOKS LIKE — Cost per new patient (CAC), computed at site level on a frozen cohort

MEDIAN

$26.46 average across the sample; $25.42 at practices above $1.65M in collections, or 1.23% of collections (Cain Watters, pediatric dental, from client books). This is dental. It is the only real acquisition-cost benchmark located in healthcare.

TOP DECILE

Not published. Cain Watters reports a two-tier cut, not deciles, and no source anywhere publishes a platform-level CAC, LTV or payback benchmark for PE-backed healthcare. Do not accept one.

TARGET

Blended platform CAC converging on the above-scale tier — roughly 1.23% of collections rather than the 2.97% the sub-scale cohort carries — with the convergence driven by conversion rather than by spend cuts. This is a distribution position in one specialty's published data, not a promise, and the honest framing to a sponsor is that the platform-level version of this number does not exist externally at all.

Cain Watters (from client books); ADMEN PE/rollup source harvest, 48 sources

HOW THIS DIFFERS BY SCALE

How this differs by scale

Single site One site: CAC is a real, computable number and needs none of this. The specialty-level differentials are the right read — /marketing-problems/dental-groups-dsos/patient-acquisition-cost/ for dental, /marketing-problems/eye-care-groups/patient-acquisition-cost/ where cost per exam is the unit.
Group At a handful of sites the blend starts lying, because a single acquisition can move it several points. Freeze the cohort now; it costs nothing before there is history to restate.
Platform At platform scale, blended CAC is close to meaningless as a management number and is still the one most boards see. The useful artifacts are site-level CAC, cohort payback by channel, and an explicit statement of what is mix. Expect diligence to ask for exactly those three.

OTHER PRESENTATIONS — PE PLATFORMS & ROLLUPS

A differential narrows the field. It does not replace the examination — that is what the six weeks are for. Every figure above is an industry reference range, not a client's numbers; those stay sealed. Sources are set out at /sources.

APPLY — 6 / QUARTER →