A

Exhibit I · Med spa network, United States

The leads were never the problem

Ten-plus clinic locations. Leads arriving in volume, treatments not happening, and reporting that stopped three steps in — so the loss had nowhere to show itself.

Sector — Medical aesthetics Market — United States Scope — Paid media, CRM, booking funnel, attribution Period — 2025 to present
▼ 50%
Cost per lead
60 → 40%
Appointment no-show rate
40 → 60%
Consultation-to-sale rate

Lead volume was never the complaint. The clinics were full of leads. They were not full of patients.

The situation

A multi-location med spa group buying media across Meta and Google, with each location carrying its own budget and its own market. The reporting ended at cost per lead — which meant the group could tell you precisely what a lead cost and nothing at all about whether that lead ever became money.

Everyone assumed the ads were underperforming. They weren't, particularly. The failure was further down.

What the diagnosis found

The campaigns were optimised toward the wrong finish line

Objectives were set to lead generation, and the conversion event was a form submission. So the platform went and found the cheapest possible form fill — exactly what it had been asked to do. It had no information about who books, who arrives, or who buys, because none of that had ever been sent back to it.

Follow-up was slow enough to be fatal

The gap between a form arriving and anybody calling it was measured in hours, not minutes. In aesthetics, a person filling a form at eleven at night is browsing. By the following afternoon they have moved on, been called by a competitor, or forgotten they enquired at all.

Booked did not mean arriving

Confirmation and reminder sequences were thin, and there was no recovery process for a no-show. So a substantial share of appointments that had been won and counted simply evaporated between the booking and the day.

Nothing could be attributed

Lead source was not carried through to the booking system. Which meant no one could say which campaigns produced patients and which produced noise — and every budget decision was therefore being made on a guess.

The underlying problem

Three of the four failures were not advertising failures. They were operational ones that the ad budget was paying for.

What changed

The result

MetricBeforeAfter
Cost per leadBaseline50% lower
Appointment no-show rate60%40%
Consultation-to-sale rate40%60%

Read individually, none of these is extraordinary. Read together, against the same budget, they compound: half the cost to acquire a lead, a third fewer of the resulting appointments lost, and half again as many of the consultations that do happen closing.

The campaign was never the problem. The campaign was the only part anyone was looking at.

What I'd take from it

When a clinic tells me lead quality is poor, the first thing I check is not the targeting. It is what the account has been told to optimise toward, and how long a lead waits before a human being contacts it. In most accounts, one of those two is the answer.

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