Most clinic owners can tell you what their ads cost and how many leads came in. Almost none can tell you what one new booked patient actually costs to acquire. That gap is where budgets get burned. Here is the framework that closes it.

What PAC actually is

Patient acquisition cost is the total cost of acquiring one new patient who actually books and shows up for an appointment. The key words are ‘total’ and ‘actually shows up.’

The version most clinics track is a per-lead cost (cost-per-form-fill, cost-per-call). That number is useful as a leading indicator, not as a decision-making number. Half the leads will not book. A quarter of the bookings will not show. Your real cost-per-booked-patient is two to four times your cost-per-lead.

Tracking the wrong version of PAC is why clinics pour budget into channels that look cheap on the surface and bleed on the back end.

The correct formula

PAC equals total acquisition cost over a period, divided by the number of new booked patients who showed up in that same period.

Total acquisition cost is not just ad spend. It includes agency fees, tools (Hotjar, call tracking, attribution software), production cost for creative, and labour hours spent on managing campaigns. The cheap-looking ad campaign that requires three hours a week of your time has a labour cost.

New booked patients means first-visit completed, not first inquiry, not first booking, not first show. The cleanest number to track because it represents revenue that actually started.

Healthy vs unhealthy ranges, by service

These are blended ranges across paid and organic acquisition. Pure-paid ranges trend toward the higher end.

  • Chiropractic: $60 to $180 (per new patient) , Lower end achievable with strong local SEO and a steady review flow. Higher end common when running paid alone on competitive terms.
  • RMT / massage therapy: $40 to $120 (per new patient) , One of the lower-PAC services because intent is high and conversion is fast. Booking-flow friction often matters more than ad spend.
  • Physiotherapy: $80 to $250 (per new patient) , Wider range. ICBC and WCB-flagged patients have different acquisition paths. Specialty physio (post-surgical, sport) skews higher.
  • Naturopathy: $120 to $350 (per new patient) , Highest range in the cohort, but also the highest LTV. The math still works because lifetime value frequently passes $2,000.
  • Mental health: $100 to $300 (per new patient) , Long consideration cycle, high trust requirement. Content-led acquisition tends to outperform direct response.
  • Dental (general): $150 to $400 (per new patient) , Hygiene-led acquisition is cheaper. Cosmetic and implant patients skew much higher and require dedicated funnels.

The PAC to LTV ratio

PAC in isolation is useless. A 200 dollar PAC is great if the patient is worth 2,000 over time, and terrible if the patient is worth 250. The ratio is the real number.

Healthy ratio: LTV at least three times PAC. A clinic with patients worth 800 dollars over their relationship should be willing to spend up to 270 dollars to acquire one.

Warning ratio: LTV less than two times PAC. The acquisition math is too tight to absorb no-shows, ad-cost drift, or seasonal slow periods. Either lower PAC, raise LTV through retention, or change the channel mix.

The brand-distinctive version of this argument: agencies that promise patient volume usually compress PAC by running discount funnels, which compresses LTV even harder. The ratio looks good on the report and falls apart in the booking data.

How to lower PAC over time

  • Improve the booking flow. A 60 percent booking-completion rate vs 35 percent halves your PAC overnight without spending another dollar.
  • Stop wasting clicks on a generic homepage. Send paid traffic to a service-specific landing page that mirrors the ad.
  • Build a real reviews engine. New patients close faster when the social proof is current and on the channel they were searching.
  • Layer SEO under the paid spend. Paid is rented attention. SEO compounds and pulls down the blended PAC after six to twelve months.
  • Tighten attribution. You cannot fix what you cannot see. If you cannot tell which campaign drove the booking, you cannot optimise the spend.