The 16 Numbers That Run a Med Spa, and How to Compute Every One of Them

Two med spas can run the same month, book the same appointments, collect the same money, and report retention rates that are nowhere near each other. Neither of them is lying. They chose different denominators.

The usual response is to go looking for a benchmark to check yourself against. That is where the trouble starts. The published aesthetics numbers owners borrow come from at least three different instruments, and the main ones changed their sample, their unit, or their underlying data source between editions. The American Med Spa Association’s own 2022 executive summary puts average annual medical spa revenue at $1,982,896 for 2022. AmSpa’s article of 15 January 2025 puts it at $1,307,587 for 2023. Neither figure carries a sample size.

So this post does the other thing. It gives you sixteen formulas, names the one ambiguous term inside each, and names the computation that quietly breaks it. Then it shows you from primary documents what the published aesthetics benchmarks actually measure, and how their methods moved, so you can decide for yourself whether any of them belongs on your dashboard.

Every formula here runs on a spreadsheet and an export. None of it requires you to buy anything first.

Every source on this page was read on 19 August 2026. We make med spa software, so we have an obvious interest in you measuring your clinic inside a system rather than by hand. The formulas and the source record below hold regardless of whose software you run them in.

A KPI is a definition before it is a number

Every metric in this post is a formula plus four hidden choices: which people count, which window counts, which event counts, and when money counts. Change any one of those and the number moves without anything changing in the clinic.

That is why borrowed benchmarks fail before the arithmetic even starts. When someone tells you the industry average is 70%, you have no way to know whether their population was clients with a record, clients with a completed visit, or clients with a paid completed visit, and no way to know whether their window was a calendar year, a rolling year, or every year since opening.

The consequence is practical. A number you cannot reproduce next quarter is not a KPI, it is an anecdote. Before you track anything below, write down the four choices for each metric, date the document, and keep the old version when you change it. The rest of this post assumes you will.

Sixteen numbers and the exact way to compute each one

The table below gives each metric a formula, isolates the single term that has to be pinned down before the formula produces a stable answer, and names the specific computation that produces a wrong number while looking correct.

Three patterns run through the whole table. The first is population drift. Most of the sixteen break because the numerator counts one kind of person and the denominator counts another. Pin the population once and most of the sixteen become stable.

The second is revenue timing. Metrics 4, 6 and 7 all depend on whether a package or membership payment counts on the day the card was charged or on the day the treatment happened. Both are defensible accounting positions. Only one of them produces an average ticket you can compare to last quarter.

The third is status hygiene. Metrics 8, 9 and 10 are only as good as your appointment statuses. If a staff member can delete a no-show instead of marking it, three of your sixteen numbers are decorative. That is a training problem and a permissions problem before it is a reporting problem.

Retention: the rolling window and the true cohort disagree by design

Rolling 12-month retention answers a business question: of the people who were with us last year, how many are still coming. Cohort retention answers a different one: of the people who first walked in during March, how many came back within 90 days. Both are correct. They will not match, and they should not be expected to.

The dangerous version is neither of those. It is retention defined as lapsed clients over all client records ever created. Watch what happens to a clinic that grows. Start with 1,000 lifetime records, 400 of them lapsed: retention reads 60%. Next year the clinic acquires 500 new clients and 100 more clients lapse. Now there are 1,500 records and 500 lapsed, so retention reads 66.7%. More people left, and the number improved. That is not a subtle bias. It is a metric that rewards acquisition and punishes nothing.

Fix it by making the denominator a window, not a lifetime. Clients who had a completed visit in the prior 12 months is a population that stops growing when you stop treating people, which is exactly the property you want. If you want to see whether growth is masking leakage, run both the rolling number and monthly cohorts side by side. Our post on med spa retention versus acquisition works through what to do once the cohort curves show you the shape of the leak.

Provider utilization has four defensible denominators

Utilization is treated minutes over available minutes. The numerator is easy. The denominator has at least four honest answers, and they are not close to each other.

Take an injector on an eight-hour shift with a 30-minute lunch and a one-hour block held for consults and charting, who delivers 5.5 hours of treatment. Against contracted hours the denominator is 8 and utilization reads 68.8%. Against scheduled hours minus lunch it is 7.5 and utilization reads 73.3%. Against hours published as bookable it is 6.5 and utilization reads 84.6%. Against hours the room and the provider were both open it may be lower again. One provider, one day, four numbers between 68.8% and 84.6%.

There is a second fork inside the numerator. Booked minutes and treated minutes differ by every no-show and every late cancellation you did not backfill. Booked utilization measures how well you sell the calendar. Treated utilization measures how much treatment actually happened. Running only booked utilization means a double-digit no-show rate stays invisible in your capacity planning.

Pick one denominator, name it on the report, and hold it. The choice matters less than the consistency. If you also publish the numerator rule, anyone reading the dashboard in six months can reconstruct the number without asking you.

Average ticket, and why a package sale should not touch it

Average ticket is revenue recognized in the period over completed visits in the period. The failure is almost always the package.

A client buys a six-treatment package for $3,000 on her first visit. If the sale lands on that visit’s ticket, that visit reports $3,000 and the next five report $0. Your average ticket now oscillates with your package sales calendar rather than with what you deliver. Recognize $500 on each of the six redemption visits instead, and average ticket starts describing the clinic again. Memberships have the same shape: the monthly charge is deferred revenue until a benefit is redeemed or the month lapses.

There is a naming trap worth carrying with you. The Aesthetic Society’s national databank reports labelled their per-procedure money column “Average Charge”. A charge is a billed price. It is not collected revenue, and a per-procedure figure is not a per-visit ticket, because one visit can contain several procedures. Three different quantities, three different denominators, one word that gets used for all three in conversation.

If memberships are a meaningful share of your revenue, decide the recognition rule before you set prices, not after. We work through the pricing side of that in our guide to med spa membership program pricing.

Consultations, no-shows, and retail attachment

Consult-to-treatment conversion needs two decisions before it means anything. First, the window: a consult that converts in 14 days and a consult that converts in 9 months are different events, and a rate with no window will drift upward every month you leave it running. Second, the definition of a conversion: a booked treatment is not a completed treatment, and counting the booking inflates the rate by exactly your no-show rate.

No-shows and late cancellations should never share a bucket. A no-show is an appointment that reached its start time with nobody in the room. A late cancellation is a client-initiated cancellation inside your stated policy window, which is a number of hours you have to write down. The operational responses differ: no-shows are a reminder and deposit problem, late cancellations are a waitlist and backfill problem. Merging them tells you nothing about which lever to pull.

Retail attachment is visits with at least one retail line over completed visits. Counting units instead of visits lets a single client buying six units of the same serum move the whole rate. If you sell retail-only, decide explicitly whether those transactions are visits, because including them raises attachment and lowers average treatment revenue at the same time.

All three of these depend on appointment statuses being terminal and auditable. If a status can be changed after the fact with no record of who changed it, treat the resulting rates as directional at best.

LTV, CAC, and the arithmetic of a short history

Client acquisition cost is the easier half. It is marketing and sales cost in a period over clients first seen in that period. The usual understatement comes from the numerator, not the denominator: agency fees and ad spend go in, but unpaid consult time, front-desk follow-up time and the cost of comped first treatments often do not.

Lifetime value is where clinics get into trouble, and the trouble is arithmetic rather than opinion. Suppose your typical client returns roughly once a year. A clinic with a 12-month history can observe at most one repeat visit per client, so any lifetime value it computes is dominated by the first purchase. Multiplying that by an assumed five-year lifespan does not produce a measurement, it produces the assumption you fed in.

The honest version is to publish observed value at a fixed horizon and label the horizon: observed 12-month value, observed 24-month value, and so on, each computed only on cohorts old enough to have completed that horizon. Payback then becomes a comparison you can actually make, which is CAC against observed margin at a stated horizon, rather than CAC against a projection. Use gross margin, not revenue, or a high-consumable service line will look like your best acquisition channel while contributing the least.

Every aesthetics benchmark you are about to borrow changed its instrument, its sample, or its unit

The benchmark problem in aesthetics is not that publishers stopped producing numbers. They kept producing them. What changed, repeatedly, is how the numbers were made. The table below sets the main published sources side by side by instrument, sample, stated precision, and whether any per-procedure money figure appears. Read the sample column first, because two of these sources cover plastic surgery practices, not med spas, and the facelift and rhinoplasty line items are the proof.

Follow the Aesthetic Society rows in order. The 2020 report states that “aggregate data from all 288 participating plastic surgery practices across the U.S. were analyzed”, retrieved by a network that “connects directly to participating Aesthetic Society member plastic surgeons’ practice management systems to retrieve real-time, de-identified, billing data”. The 2021 report says 294 practices. The 2022 report says 200 practices, and adds a sentence that ends any casual year-over-year comparison: “To enhance the reliability of trends, all prior data have been restated to reflect the consistent sample of participants.” The published 2020 figures and the 2020 figures inside the 2022 report are not the same series, so differencing across editions to compute a percentage change is not a valid operation.

The 2023 edition is a different instrument entirely. Its methodology page names CosmetAssure as the data source and Industry Insights, Inc. as the analyst, and mentions neither the Aesthetic Neural Network nor Ronan Solutions. The former ANN subdomain, ann.theaestheticsociety.org, returns an HTTP 301 redirect to the Society’s Medical Professionals page, which mentions neither the network nor any practice-benchmarking program, checked on 19 August 2026. We found no published statement from The Aesthetic Society announcing that the program ended, read on that date. What is observable is that the last per-procedure average-charge table built from practice billing data is the 2022 edition.

ASPS is the transparency contrast, and it also changed its unit. Its 2024 release states on printed page 39 that the questionnaire went to over 5,000 ABPS board-certified members, that almost 1,000 responses were included, and that results carry a margin of error of plus or minus 4.62% at 95% confidence. On printed page 28 it explains the change in its own words: “ASPS has updated the presentation of surgeon fee data to reflect a projected range rather than a single price.” A publisher moving from a single average to a range mid-series is a clean illustration of why a borrowed number does not survive comparison with the same publisher’s earlier number.

The med-spa-specific source has the opposite profile: it is about the right population and it is the least legible. AmSpa’s statistics page, read on 19 August 2026, publishes exactly two figures, “$17B+ Industry Revenue” and “$1B+ Annual Growth”, with no edition year and no publication date anywhere on the page. The full report is sold at “$995 One-time purchase”, free to AmSpa Plus members and half price to Basic members, with a free executive summary available behind a form. The full report’s table of contents places “Study Background and Methodology” at page 60, inside the paid document. No sample size or margin of error appears on that statistics page, in AmSpa’s privacy policy, in its FAQ, or in its own 2024 report announcement, all read on 19 August 2026.

The second table shows what happens when figures from those sources get quoted next to each other. Every row is a published average or industry figure for U.S. medical spas, with its period, its source and date, and whether a sample size was stated alongside it.

Four of those rows, the two from the 2022 executive summary and the two from the 2025 article, are the same publisher’s own series. Average annual revenue reads $1,982,896 for 2022 and $1,307,587 for 2023, a fall of roughly a third from one edition to the next, with no reconciliation note attached to either and no definition of whether the unit is a location or a business entity. That gap alone is larger than most of the operational improvements an owner would spend a year chasing. One provenance note on the 2022 executive summary: the copy read for this post is a PDF hosted on a third-party site rather than on AmSpa’s own domain, so it should be treated as a circulating copy of that document rather than as a current AmSpa publication.

The peer-reviewed row deserves its own reading. Eichinger J, Casale J, Daniels P and Rice A published “Trends in Medical Spa Statistics and Patient Safety” in Dermatologic Surgery 2024;50(2):216-217, doi:10.1097/DSS.0000000000003991. It is a Communications letter, not original research, and every economic figure in it carries a single reference: the 2022 Medical Spa State of the Industry Report from the American Med Spa Association in partnership with Gordian Solutions Group. So the peer-reviewed figures inherit the paywalled survey’s undisclosed methodology rather than replacing it, and the letter rounds its source’s $1,722,551 down to “more than $1.5 million”. The authors declare no significant interest with commercial supporters, and the letter argues for increased regulation of medical spas, which is a professional position worth knowing when you read its framing of med spa economics.

One more example shows the failure mode live. Evolus, Inc. reported in Exhibit 99.1 to a Form 8-K furnished to the SEC on 5 August 2026, for the quarter ended 30 June 2026, that “Total Evolus Rewards redemptions for the quarter grew and reached an all-time high of over 270,000 with existing patients receiving repeat treatments at the rate of approximately 71%.” That number is easy to read as an aesthetics retention rate. It is not one. The denominator is redemptions in a manufacturer’s loyalty program, not clients at a clinic; the release defines no repeat window; the accompanying footnote describes cumulative statistics since the program launched in May 2020 while the sentence says “for the quarter”; and the figure moves, having been reported at approximately 68% for the third quarter of 2025 and approximately 70% for the fourth quarter of 2025. Item 2.02 exhibits are furnished rather than filed, and these operating metrics are unaudited.

Put together: we found no public benchmark set that reports med spa per-visit or per-service-line economics with a disclosed sample size, read on 19 August 2026. The transparent sets cover plastic surgery practices and procedure counts. The med-spa-specific set keeps its methodology at page 60 of a $995 report. That is the case for computing your own numbers and defining them yourself.

What each number needs from your data

Before any of the sixteen produces a number you would defend in a meeting, specific records have to exist and specific fields have to be trustworthy. This is a requirements list, written the way you would write it if you were specifying the system rather than shopping for one.

Read that table as a specification you can test against whatever you already run. The two rows that most often come back empty in practice are the appointment audit log and the per-treatment consumable cost, and they are the two that gate the largest number of metrics: statuses gate three, consumable cost gates every margin-based figure including lifetime value.

The deduplicated client record deserves attention if you have more than one location. If the same person exists twice, retention understates, new client share overstates, and lifetime value splits in half. That reconciliation belongs in your client management setup rather than in the reporting layer, because a report built on duplicates cannot repair them.

Room and device assignment is the other one worth checking early. Revenue per room hour is one of the few metrics that tells you whether to buy another device or hire another injector, and it needs the resource to be on the appointment at the time of booking, which is a booking configuration decision rather than an analysis decision.

How to publish your own definition set this month

Set aside two hours and write a one-page definitions document. For each metric you intend to track, write four lines: the population, the window, the qualifying event, and the revenue recognition rule. Date the page. That page is now the only authority on what your numbers mean.

Then pick five metrics, not sixteen. A reasonable starting five for most clinics is rolling 12-month retention, treated provider utilization, average ticket with package revenue recognized at redemption, no-show rate, and consult-to-treatment conversion at a fixed window. Five numbers you can reproduce beat sixteen you cannot.

Compute each one twice by hand, from a raw export, for two different months. If you cannot reproduce the dashboard figure from the export, the definition is wrong or the data is, and you want to find out now rather than in a board meeting. Write down the reconciliation steps you had to take, because those steps are your data quality backlog.

Then hold the definitions still for two full quarters. Every change to a definition breaks the comparison to the prior period, so when you do change one, keep the old definition running in parallel for one period and publish both. When you next see a benchmark quoted at you, ask three questions of it: what was the instrument, what was the sample, and what was the unit. On the evidence above, the answer changes more often than the industry does.

Frequently asked questions

What are the most important KPIs for a med spa?

For most single-location clinics, five carry the load: rolling 12-month client retention, provider utilization measured on treated hours, average ticket with package revenue recognized at redemption rather than at sale, no-show rate, and consult-to-treatment conversion measured at a fixed window such as 30 days. Those five cover demand, capacity, pricing, schedule leakage and sales effectiveness. Adding more metrics before those five are reproducible from a raw data export usually produces a larger dashboard rather than better decisions.

How do you calculate provider utilization rate in a med spa?

Divide treated minutes by available minutes for one provider over one period. The result depends entirely on which availability you use. An injector on an eight-hour shift with a 30-minute lunch and a one-hour consult and charting block who delivers 5.5 hours of treatment reads 68.8% against contracted hours, 73.3% against scheduled hours net of lunch, and 84.6% against hours published as bookable. Choose one denominator, state it on the report, and use treated rather than booked minutes if you want no-shows to be visible.

Is there an official average revenue per visit for med spas?

We found no public benchmark that reports med spa per-visit economics with a disclosed sample size, read on 19 August 2026. The most commonly quoted figure is average spend per patient per visit of $536 from the American Med Spa Association’s 2022 State of the Industry executive summary, which states no respondent count for that figure. The Aesthetic Society and ASPS publish per-procedure fee data with stated margins of error, but their populations are plastic surgery practices and their unit is a charge per procedure, not revenue per visit.

How much does the AmSpa State of the Industry Report cost?

AmSpa’s statistics page, read on 19 August 2026, lists the full report at “$995 One-time purchase. Instant digital download.” AmSpa Plus members receive it at no cost and Basic members at half price, and a free executive summary is offered behind a form with no membership required. The full report’s table of contents places “Study Background and Methodology” at page 60, so the sampling detail sits inside the paid document rather than on the public page.

Should package sales count in average ticket?

Not on the day of sale. A $3,000 six-treatment package booked entirely to the visit where it was sold makes that visit report $3,000 and the following five report nothing, so average ticket tracks your package sales calendar instead of your delivery. Recognize $500 on each redemption visit instead. Memberships work the same way: the recurring charge is deferred until a benefit is redeemed or the entitlement period lapses. Decide the rule in writing before you start reporting, because switching it mid-year breaks every prior-period comparison.

What is the difference between average charge and average ticket?

An average charge is the billed price of one procedure. An average ticket is the revenue recognized across one visit, which can contain several procedures plus retail. They are different numerators over different denominators. The Aesthetic Society’s national databank reports label their per-procedure column “Average Charge” for exactly this reason. Treating a published average charge as a ticket benchmark overstates nothing and understates nothing predictably, it simply compares two different quantities, so the comparison carries no information about your clinic.

Can I calculate patient lifetime value if I have been open for one year?

You can calculate observed 12-month value, and you should label it that way. If your typical client returns roughly once a year, a 12-month history observes at most one repeat visit, so the figure is dominated by the first purchase. Multiplying it by an assumed multi-year lifespan returns your assumption rather than a measurement. Publish observed value at fixed horizons, computed only on cohorts old enough to have completed each horizon, and use gross margin rather than revenue so high-consumable service lines are not flattered.

Why do published med spa industry figures disagree with each other?

Because the instrument changes. The American Med Spa Association’s 2022 executive summary reports average annual medical spa revenue of $1,982,896 for 2022, while its article of 15 January 2025 reports $1,307,587 for 2023, with no sample size on either. The Aesthetic Society’s participating practice count ran 288 in 2020, 294 in 2021 and 200 in 2022, and its 2022 report states that “all prior data have been restated to reflect the consistent sample of participants”. Different instruments, samples and units produce different numbers for the same industry.