How much can a dental clinic spend to acquire a patient who starts treatment?

Define the result before pricing the inquiry

Your campaign might produce inquiries at roughly last month’s price while costing much more for each new patient. Fewer available appointments, more missed visits or fewer people choosing to start the treatment recommended by their clinician can all change the economics. The price of a message does not tell you which happened.

Choose one service line, one location and a clear outcome. In this model, an acquired patient is a new person who actually starts treatment and meets the clinic’s defined initial-payment criterion. A booking, an accepted estimate and a treatment start are separate states. Clinical recommendations remain a decision for the dentist and patient; this calculation does not determine which treatment anyone should receive.

The useful question is how much the clinic can spend before acquisition consumes the money needed to deliver care and sustain the business. Answering it helps distinguish a demand problem from a booking problem, an economic constraint or a lack of capacity. An English-language guide does not change the market: the operating context and currency here are Argentina and Argentine pesos, or ARS.

Work out contribution before acquisition

Start with expected net revenue from the patient over a stated horizon. Subtract the associated variable costs: materials, laboratory work, variable professional fees, payment charges, discounts, refunds and other applicable items. Do not deduct a discount twice if net revenue already includes it. What remains is contribution before acquisition, not the clinic’s final profit.

OpenStax’s managerial accounting chapter explains why contribution must still cover fixed costs before it becomes profit. For this planning model, also specify the amount to retain for overhead, risk and the desired result, plus acquisition costs beyond advertising. ALTO ROI’s model adapts these distinctions to a clinic’s decision; it is not a dental pricing standard.

Other acquisition costs may include the agreed share of agency fees, content, software and sales work. Divide the cohort’s costs by its new patients to express them per patient. Recalculate when volume changes: the same fixed fee spread across nine patients costs twice as much per patient as it does across eighteen. Do not count the same staff cost in both treatment delivery and acquisition.

For an Argentine clinic, keep one currency and a dated cost basis throughout. If a supplier bills in another currency, use the clinic’s documented effective cost. No exchange-rate conversion is assumed here. Installments need a separate cash-flow check: a treatment can have positive contribution while requiring the clinic to pay for materials before collecting the balance.

Translate an acquisition allowance into a CPL ceiling

Media CAC is advertising spend divided by new patients from the relevant cohort. Total CAC includes the other acquisition costs defined in the analysis. CPL is advertising spend divided by valid unique inquiries. Keep the definitions aligned: a CPL that excludes spam cannot be combined with a conversion rate whose denominator includes it.

The planning equations are: allowable total CAC = contribution per patient − amount to retain. Allowable media CAC = allowable total CAC − other acquisition costs per patient. CPL ceiling = allowable media CAC × inquiry-to-treatment-start conversion. If the amount available for advertising is zero or negative, the assumptions leave no sustainable ad budget.

To break conversion into stages, multiply consecutive rates from the same cohort: qualified/inquiries × booked/qualified × attended/booked × started/attended. Qualification means operational and commercial fit, such as the area served, a service the clinic offers and the ability to arrange an appointment. Marketing qualification is not a medical eligibility assessment.

Dividing allowable CAC by conversion produces the wrong ceiling: it suggests you can pay more for an inquiry when fewer people progress. If you already know starts/inquiries, use that overall rate directly. Multiplying it by attendance or acceptance again counts the same loss twice.

An ARS example with visible denominators

Every figure below is an illustrative assumption. These are not current treatment prices, advertising benchmarks, observations from a real clinic or ALTO ROI client results. Assume ARS 600,000 contribution per new patient over 90 days, ARS 225,000 to retain and ARS 75,000 in other acquisition costs per patient.

That leaves a total CAC ceiling of ARS 375,000 and a media CAC ceiling of ARS 300,000. A cohort observed through its defined decision window could be represented as follows:

Check the entire cohort, not just the formula

Overall conversion is 18/200 = 9%. The CPL ceiling is therefore ARS 300,000 × 0.09 = ARS 27,000. At that price, 200 inquiries would cost ARS 5,400,000 in advertising. Other acquisition costs would total ARS 1,350,000, while the eighteen patients would contribute ARS 10,800,000 before acquisition.

The amount remaining after acquisition would be ARS 4,050,000, or ARS 225,000 per patient. It must still cover the purposes for which you retained it; it is not automatically net profit. Nor is a ceiling an instruction to spend up to it. Conversion, delivery costs and payment timing can change.

Change one assumption at a time to see how much the decision depends on it. All other inputs remain at the original example values in the following comparison.

Try your clinic’s assumptions

Replace contribution, the amount to retain and other costs first. Then enter the four consecutive conversion rates. Use percentages from 0 to 100 and the same currency throughout. If a rate is unknown, do not substitute another clinic’s average as a fact. Use an explicitly conservative test assumption and record what remains unverified.

Keep the calendar from distorting conversion

Group inquiries by when they entered and follow those same people. Dividing September’s treatment starts by September’s inquiries mixes groups if some patients first contacted the clinic in July. Set the maturation window from your own records. The example’s 90 days describe its economic horizon, not a universal patient decision cycle.

Separate pending cases, confirmed losses and confirmed outcomes. Someone still arranging a visit is not automatically lost. Count a person who contacts the clinic through Instagram and later WhatsApp once. Keep returning patients separate from new acquisitions: reactivation may be valuable, but it answers a different cost question.

For a clinic group, examine location and service line before averaging them together. One location may have no appointments while another has spare capacity. When groups are small, show absolute counts and treat rates as unstable. A single additional treatment start can move the percentage materially without demonstrating that advertising improved.

The model needs counts, not patient records

You can calculate this model from aggregate counts and amounts within the clinic’s authorized environment. Argentina’s Law 25,326 classifies health information as sensitive and requires collected data to be relevant and not excessive for its purpose. This guide does not establish the lawful basis for a particular data-processing activity.

Do not send names, phone numbers, email addresses or clinical information to Analytics to complete the calculation. Google prohibits sending information it can recognize as personally identifiable. Treatment details and care decisions belong in the clinic’s authorized systems and processes, rather than copied into a marketing dashboard.

This model does not instruct clinics to configure health events in Meta or authorize clinical-status transfers through CAPI. Any tracking implementation needs a separate review of current platform rules and the clinic’s responsibilities. The calculator on this page processes only the numbers entered in the browser.

Turn the result into a specific operating decision

If observed CPL exceeds the ceiling, first verify the inputs. Then locate the constraint: inquiries outside the service area, difficulty booking, missed appointments, payment conditions or delivery costs. New ads may address some of these problems. Others simply create more work for reception until the underlying issue is fixed.

If CPL is below the ceiling but the appointment book is full, resolve capacity before increasing spend. If capacity and contribution are available, design a bounded test the clinic can finance, with named responsibilities and a review date. Assess patients, contribution and collections alongside inquiry volume at that review.

Use this decision sheet with the team before requesting another advertising budget.

Frequently asked questions