Patient Acquisition Cost by Specialty: Building the Model

The first difficulty is that much marketing spend is not specialty-specific. A campaign for a cardiology programme is easy to attribute. The hospital's brand presence, its website, its listings, the call centre and the marketing team's salaries are not, and how you treat them determines whether the exercise is useful or merely arithmetic.

The most defensible approach is to keep directly attributable spend separate from shared spend, and to report both a direct acquisition cost and a fully loaded one. Direct cost tells you whether a specific campaign worked. Fully loaded cost tells you what the specialty really costs to fill. Allocating shared cost by enquiry volume or by attributed episodes is reasonable; allocating by revenue is not, because it mechanically makes high-revenue specialties look expensive to acquire regardless of effort.

Include the operational cost of acquisition, not only media spend. The call centre handling enquiries, the time spent following up, the discounts and package pricing offered to convert, and any camp or outreach logistics are all acquisition cost. Hospitals that count only advertising typically understate the true figure substantially, and the understatement is largest for exactly the specialties where conversion takes the most human effort.

What you divide by matters as much as what you divide. Counting enquiries flatters everything. Counting registrations counts people who booked and never came. Counting first treated episodes is the honest denominator, because it is the point at which the hospital has actually delivered something and earned something, and it is the point at which conversion effort has genuinely succeeded.

Be careful about the time lag, which differs enormously by specialty. An enquiry for an urgent condition converts in days; an enquiry about an elective procedure may convert in months, and a chronic-care enquiry may produce episodes for years. Dividing this month's spend by this month's episodes compares two things that are not related, and it will make any specialty with a long consideration period look catastrophic.

Handle it by cohorting: track enquiries generated in a period through to episodes over a defined window that reflects that specialty's real conversion lag, and report the cohort rather than the calendar month. It is slightly harder to build and it is the difference between a model that survives scrutiny from clinical leads and one that gets dismissed the first time it is presented.

Acquisition cost on its own ranks specialties by expense, which is not a useful ranking. Paired with what an episode contributes, it becomes a decision. A specialty with high acquisition cost and high contribution may be an excellent place to spend more; one with low acquisition cost and thin contribution may be consuming capacity for very little return.

Use contribution rather than revenue. Revenue per episode says nothing about the consumables, implants, theatre time and staffing that episode consumed, and specialties differ enormously in that respect. A hospital that optimises acquisition against revenue will reliably over-invest in high-revenue, low-margin work, which is a common and expensive pattern.

Then extend the view beyond the first episode where it is genuinely warranted. Some specialties acquire a patient once and treat them for years; others deliver a single episode and the relationship ends. Judging both on first-episode contribution alone undervalues the first group significantly. Where you do this, be conservative and state the assumption, because projecting lifetime value is where these models most easily become fiction.

Three findings recur often enough to anticipate. The first is that a specialty everyone believed was marketing-driven is actually referral-driven and walk-in-driven, and the campaign spend against it is buying very little. That is discoverable only with proper source attribution and is usually the largest single saving available.

The second is that one channel dominates a specialty's genuine acquisition while budget is spread evenly across channels out of habit. The third is that conversion, rather than lead generation, is the binding constraint: the enquiries exist and are being lost between first contact and appointment, which is an operational fix costing far less than more advertising and usually delivering more.

That third finding is worth looking for specifically before any budget conversation. Response time to an enquiry, follow-up persistence and appointment availability move conversion more than creative does in most hospitals, and they are within the hospital's direct control. Buying more enquiries to feed a leaking funnel is the most common way hospital marketing budgets are wasted.

Acquisition cost models fail from over-engineering more often than from crudeness. A model with multi-touch attribution weights, projected lifetime values and elaborate allocation rules requires assumptions nobody can defend and maintenance nobody sustains. Within two quarters it is out of date and quietly ignored.

Build the simplest version that distinguishes specialties: direct spend, a transparent allocation of shared spend, treated episodes cohorted over a sensible window, and contribution per episode. State every assumption on the same page as the numbers. A model whose assumptions are visible can be argued with productively, which is what you want from clinical and finance colleagues.

Refresh quarterly rather than monthly. Acquisition economics move slowly, monthly noise invites over-reaction, and a quarterly cycle is sustainable alongside everything else the team does. Holding the underlying data — source attribution, episodes and their commercial characteristics — in the same operational system the hospital already runs on, as a platform such as HealUDoc allows, is what makes that refresh a query rather than a project each time.