Local SEO + paid search + show-rate optimization across 7 clinic locations.
A 7-clinic multi-specialty MSO in the Mid-Atlantic approached us with a new-patient growth problem that's structurally common in healthcare: they were generating leads — inquiry calls, online booking requests, insurance verification form submissions — but had no clear view of how many of those leads actually showed up as new patients in chairs, and what the true cost of acquisition was at the clinic level. Their existing marketing tracked sessions and form fills; nobody had connected those numbers to the patient management system's new-patient reports.
On top of the attribution problem was a show-rate issue. No-show rates across the 7 clinics ranged from 18% to 31% — meaning that even when a patient booked an appointment, nearly one in four didn't show. That's revenue-per-slot inefficiency that compounds every month. High-CAC leads who no-show are the worst possible outcome: you paid to acquire them, the appointment slot is burned, and the chair is empty.
The third constraint was insurance mix. The MSO had been optimizing toward high volume, which meant their intake flow was optimized for insurance patients — the majority of their case mix. Cash-pay patients (elective services, functional medicine, weight management, and aesthetics at two clinics) were a higher-margin segment that was receiving no dedicated acquisition investment and had no conversion funnel of its own.
Built the attribution bridge between Google Ads and Meta campaigns and the MSO's patient management system via call tracking numbers and a UTM → intake form → PMS record match process. For the first time, the MSO's leadership could see new-patient CAC by clinic, by channel, and by service line — not just by marketing channel in aggregate. This alone changed budget allocation in the first 60 days: two clinics with the lowest actual CAC received increased investment; one clinic that looked efficient on form-fill metrics but had the highest no-show rate had its spend restructured.
Designed and implemented a multi-touchpoint appointment confirmation sequence: automated SMS confirmation at booking, a 48-hour reminder, a same-day morning reminder, and a post-no-show re-engagement message with a direct rebooking link. No proprietary patient engagement platform required — built on top of the MSO's existing EHR/PMS messaging infrastructure. Group show rate lifted from a 23% average no-show rate to 14% average by month 6. At the MSO's average revenue-per-appointment, every 1% improvement in show rate was worth approximately $18,000/month in recovered revenue across 7 clinics.
Google Ads campaigns structured by service line (primary care, specialty, elective) and by patient intent signal (insurance-accepting vs. cash-pay vs. accepting new patients near me). Separate landing pages for cash-pay service lines at the two clinics offering functional medicine and aesthetics — with value-based copy calibrated to cash-pay decision-making, not insurance-oriented intake flows. Cash-pay lead volume tripled within 90 days at these two clinics; blended insurance-vs-cash mix shifted meaningfully toward higher-margin services across the portfolio.
Healthcare GBP optimization is different from retail: the trust signals that matter are provider bios, patient reviews that reference specific care experiences, and accurate insurance information. Built a clinic-level GBP management program that kept every listing current on provider rosters, insurance acceptance, and appointment availability indicators. Review velocity program brought all 7 clinics above a 4.4-star average. Near-me search visibility for new patient queries increased across 6 of 7 clinics within 90 days.
Connected new-patient acquisition data to the MSO's billing system to track average revenue-per-new-patient by acquisition channel. This closed the loop between marketing spend and clinical revenue — not just lead volume. Channels that were generating high-volume, low-revenue-per-patient new patients (often high-churn insurance patients in oversaturated service lines) had spend redirected toward service lines with better lifetime value profiles. Revenue-per-new-patient lifted as the mix improved.
| Month | New-Patient CAC | Monthly New Pts | No-Show Rate | Monthly Revenue Attr. |
|---|---|---|---|---|
| Baseline (pre-eng.) | $94 | 82 | 23% | — |
| Month 1 | $88 | 88 | 22% | $198K |
| Month 2 | $81 | 104 | 20% | $231K |
| Month 3 | $74 | 128 | 18% | $268K |
| Month 5 | $66 | 159 | 16% | $324K |
| Month 6 | $62 | 171 | 14% | $368K |
| Month 8 | $58 | 186 | 14% | $410K |
Healthcare acquisition has a show-rate problem most marketing agencies refuse to acknowledge because they don't own it. We do. A lead that doesn't show is a $94 loss plus an empty appointment slot. Fixing show rate is often worth more than increasing lead volume — and it's much cheaper.
This engagement maps to our Co-Pilot tier at $1,797/mo. Bi-weekly strategy calls, full digital execution across all 7 clinics, and monthly performance reporting.
View all tiers →25 years of real marketing P&L from 17+ venues — what we'd do if we were starting over today.
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We start with the attribution audit — connecting your marketing spend to actual new patients in chairs. Most MSOs have no idea what their real CAC is. We show you in the first 30 days.
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