Meta and Google as one system
Not two specialists reporting separately. Google captures the patient already searching, Meta creates demand among those who were not, and budget moves between them based on blended cost per booked appointment.
Meta and Google operated as one system, on creative that survives medical ad review and tracking that does not put patient data where it should not be.
Figures are agency averages, not guarantees.
Digital advertising for a medical practice differs from general paid media in three ways. First, targeting is constrained: platforms prohibit ads that imply knowledge of a person's health condition, which rules out the audience approach most advertisers reach for first. Second, creative faces category-specific review, and before-and-after imagery, prescription treatment claims, and body-focused messaging are restricted to different degrees depending on the specialty. Third, conversion tracking cannot pass protected health information to an ad platform, so measurement runs server-side with hashed identifiers and PHI stripped from URLs. Campaigns are then optimized against the unit the practice actually sells, which is a booked procedure or an accepted case rather than a form fill.
Not two specialists reporting separately. Google captures the patient already searching, Meta creates demand among those who were not, and budget moves between them based on blended cost per booked appointment.
Static, provider-led video, and patient-story content produced in enough volume to test into a winner, rather than one shoot a quarter and hoping.
Every asset checked against current platform health policy for your category before it reaches an ad account. Approved variants stay queued so a flag costs hours rather than a week of paused spend.
Conversions API, hashed identifiers, PHI stripped from confirmation URLs. Meta and Google will not sign a BAA, so the tracking layer has to sit between them and your patient data.
Bidding tuned to booked consults, accepted cases, or paying patients depending on your vertical. Optimizing to form fills is how an account produces a great cost per lead and an empty schedule.
What a patient is worth, what you can afford to pay for one, and what the close rate has to be for the math to work. One page, before any spend.
Server-side tracking with an attribution window matched to your real decision timeline, not the platform default.
A first batch sized to test, with policy review built into production rather than bolted on after a rejection.
Campaigns live in week two or three depending on vertical. Specialty takes an extra week for claims review.
Bid and budget management daily, creative refresh weekly, and a monthly read tied to your unit rather than to impressions.
Surgeon-led creative. Before-and-after faces real Meta restrictions, so persuasion has to come from the surgeon rather than the gallery.
Optimized to treatments that produce a second visit, not to whatever converts cheapest. A discounted one-off can hit a great cost per booking and lose money over a year.
Creative pre-frames the investment. Policy is looser than aesthetics, so visual proof is more available here.
Compliant creative for prescription categories, optimized to paying patients rather than signups.
Claims substantiation review before production, and no personal-attribute targeting on health status.
More on why the strategy changes: One playbook does not fit five clinics.
If your consult close rate is broken or nobody answers inbound inquiries for six hours, ads will amplify the leak. We would rather fix the follow-up first and turn spend on afterward.
30 minutes. No deck. An honest look at whether this is the service that moves your number, or whether something else should come first.
Booked instantly, confirmed within 24 hours