DX / Differentials / URGENT CARE

D-04 — MULTI-LOCATION MARKETING · URGENT CARE

One playbook, different results by location — urgent care

Same brand, same EMR, same hours — one center runs 48 visits a day and another runs 26

DIFFERENTIAL — LIKELY CAUSES, MOST LIKELY FIRST

1. 01

   Reimbursement is genuinely local — a large spread exists before anyone does anything

   There is no national market rate. Net revenue per visit is set by state and payer, so two well-run sites can post very different economics on identical operations.

   National median commercial net revenue per visit $163.91, with bottom-quartile states averaging $130.30 and top-quartile states $221.72 — a 70% spread across a state range of $112.90 to $299.38 and a standard deviation of about 22%. The authors describe "more than 50 local microeconomies." The global fee shows the same pattern: average allowed for S9083 runs $110 in the Midwest to $167 in the Northeast.

   Experity EMR, 17,410,492 commercially insured visits, Nov 2024–Oct 2025, via JUCM Developing Data, 30 Dec 2025; FAIR Health, FH 2024 white paper, table 3

   NOT THIS IF — All your sites sit in one state under one payer contract set. Then the reimbursement environment is held constant and the variance is yours.

2. 02

   The catchments are not comparable and never were

   Site potential is set by population per urgent care, traffic, and insurance mix. Comparing sites to a network average rather than to their own catchments produces a false variance.

   Average patient panel change from Q2 2018 to Q2 2023 ran from +365.3% in Syracuse and +351.0% in Buffalo to −72.5% in Fort Wayne and −50.9% in Tallahassee. Per-capita center concentration runs from 7.4 centers per 100,000 in Wyoming to 2.4 in the District of Columbia. From a study of 455 center closings 2019–2020: population per urgent care below 18,000 (national suburban median 20,000), traffic below 15,000 cars per day, and private insurance below 60% of the local population are all documented failure markers.

   Trilliant Health national all-payer claims database, 12 May 2024; National UC Realty via UCA Spring 2021 Benchmarking Report, pp.14–20

   NOT THIS IF — PPUC, traffic count and commercial-insurance share are all inside range at every site and roughly equivalent between them.

3. 03

   Real-estate format, not management

   Visibility and access set a volume floor and ceiling. The format difference is quantified and it is large relative to the median center.

   Freestanding locations see, on average, 7–10 more patients per day than a center within a medical office building — against a median of 40 provider visits a day, that is a 20% swing from the building alone. 46.1% of centers are inline in a shopping centre or strip mall, 29.0% freestanding independent, 9.0% freestanding outparcel and 8.1% in a mixed-use building.

   National UC Realty via UCA Spring 2021 Benchmarking Report p.14 and UCA 2022 Operations Benchmarking Report p.12 — both read at source; location-type distribution UCA 2022 Operations, p.12 (n=1,048)

   NOT THIS IF — Your underperforming sites are the freestanding ones and the strong ones are inline. Then the format is working against your hypothesis, not for it.

4. 04

   Throughput and staffing lumpiness, not demand

   Capacity in urgent care steps rather than scales. A site one provider short at peak converts demand into wait time; a site with the extra provider converts the same demand into visits and better scores.

   Provider capacity is 4 patients per hour, or 1 every 15 minutes, and a second provider is typically added at 50 visits per day — a threshold only 15% of centers cross. National average visit duration is 59.6 minutes. Operating hours also differ structurally: annual average 3,506 hours overall, 3,671 for hospital-owned or affiliated centers versus 3,398 for non-affiliated. Roughly 20% of centers are closed Saturdays and 30% Sundays.

   Experity EMR ~33M records 2024 via JUCM (Ayers), 27 Feb 2025; UCA 2022 Operations Benchmarking Report p.8 (n=969); National Urgent Care Realty / Urgent Care Consultants census of 14,301 centers via JUCM, 28 Mar 2025

   NOT THIS IF — Staffing ratios, operating hours and door-to-door times are within a few points of each other across sites. Then throughput is not producing the gap.

5. 05

   The front desk and the billing desk differ even when the playbook doesn't

   Reputation in this vertical is manufactured at two counters, and it varies person to person in a way brand standards do not reach. It shows up in review content long before it shows up in volume, which is the argument for wait-time instrumentation at every site rather than a brand audit at the network.

   Across 3.1 million Google reviews at 3,665 urgent care centers: roughly 75% of 5-star reviewers describe staff warmth and roughly one-third of 1-star reviewers describe staff rudeness. Billing complaints appear four times more often in 1-star than 5-star reviews — 30.1% versus 7.3%. Providers appear in 49.7% of negative and 45.1% of positive reviews. The analysis concludes patients "become fans or foes at the front desk, which is typically their first and last interaction with the clinic."

   Urgent Care Consultants via JUCM Developing Data, "The Anatomy of a 1-Star vs 5-Star Google Review" (Ayers), 30 Jun 2026

   NOT THIS IF — Per-site review content is materially identical in volume, rating and theme. Then the desks are not the differentiator.

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

Reimbursement is genuinely local — a large spread exists before anyone does anything	Rx 04 · marketing attribution →	Report every site against its own state's reimbursement band, never against the network mean. Nothing in marketing changes a contracted rate, and we would not claim otherwise — but a network that funds sites off a blended NRV will systematically defund its best operators in its worst-paying states.
The catchments are not comparable and never were	Rx 01 · patient acquisition →	Demand mapping by market, with per-site targets set to catchment potential rather than to a network average. Half the industry's catchment is under 5 miles — a network-level media plan applied uniformly will over-serve the dense sites and under-serve the thin ones.
Real-estate format, not management	Rx 04 · marketing attribution →	This one is not marketing-resolvable and we say so plainly. What reporting does is stop you paying an operator bonus, or firing a manager, over a 7–10 visit/day gap the building created. Facilities work — signage, access, parking — is the real lever, and centers refresh on average every 5.29 years.
Throughput and staffing lumpiness, not demand	Rx 03 · patient conversion →	Same-day capacity matching and staffing to the arrival curve rather than to a flat schedule. The capacity step at roughly 50 visits/day is real: below it the second provider is uneconomic, above it the absence of one costs door-to-door and reviews.
The front desk and the billing desk differ even when the playbook doesn't	Rx 03 · patient conversion →	Front-desk feedback loop first, brand system second. The 3.1-million-review analysis is unusually direct about where reputation is made: at the front desk and on the bill. Paid media applied to a site with a conduct problem buys more people to be disappointed.

HOW THIS DIFFERS BY SCALE

How this differs by scale

Single site	Not applicable as a network problem, but the same logic applies across time and across shifts: a single center's weekday-to-weekend and shift-to-shift variance is diagnosed with the same five tests, and the front-desk cause is usually the one that survives.
Group	Two to ten centers, typically one or two metros. This is where the diagnosis is cleanest, because the reimbursement environment is largely held constant — which means most of the variance is genuinely operational and genuinely fixable. Run the same-state, same-payer NRV comparison first; it either eliminates or convicts the market in a single reading.
Platform	Multi-metro, multi-state. Expect large structural variance and do not attempt to remove it. Trilliant's metro panel change spans +365% to −72% and the state NRV range spans $112.90 to $299.38; a platform that ranks sites on raw visits or raw NRV is ranking geography. Score sites on the residual after catchment and rate band are controlled for, or the leaderboard is noise.

OTHER PRESENTATIONS — URGENT CARE

• Flat VCPD in a catchment that added centers faster than it added visits
• Cost per visit is climbing — and there is no published benchmark to check it against
• The lobby fills and empties — and the employer book is close to zero
• Making the visit growth read as a system rather than a good flu season