Leads Were Fine. Admissions Weren't.

A 26-bed PPO-focused treatment center was spending $150,000 a month on Google Ads. The phone was ringing. Lead volume looked acceptable. But admissions were volatile — up one week, down the next. Census was impossible to forecast. Staffing felt reactive. Beds sat empty even when the lead numbers said everything was fine.

They'd been through two agencies and a freelancer over 18 months. Nothing stabilized. That's when they reached out.

I recorded a full walkthrough of this case study — the audit findings, the framework, and the exact steps I took to fix it. Watch below, then keep reading for the breakdown.


The Real Problem: Optimizing for the Wrong Thing

The audit revealed a pattern I see constantly. The previous agencies were optimizing for leads — clicks, calls, form fills. And by that measure, the campaigns looked fine. But leads aren't admissions. The gap between "lead" and "admitted patient" is where all the volatility lived.

What the audit uncovered: About $60K/month — nearly 40% of the total spend — was being misallocated. Tracking stopped at the lead. Spend drifted into Medicaid and uninsured traffic. Detox, residential, and dual-diagnosis intent were lumped into the same campaigns. Extensions were spending quietly without producing measurable results. And one generic landing page served every type of search.

Stack those together and you get the classic pattern: lead volume looks healthy, but admissions don't follow.

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The Click-to-Admission Framework

Most agencies optimize stages one through three of the funnel: search, click, and contact. They hand you a report that says "look at all these leads." But that's where the work stops — and that's exactly where the instability starts.

Stability comes from optimizing all five stages, from click through to admission.

Stage 1
Search
Stage 2
Click
Stage 3
Contact
Stage 4
Opportunity
Stage 5
Admission
Stages 4 & 5 are where most agencies stop — and where volatility lives.

Step 1: Fix Everything Before the Click

Separated campaigns by intent and geography so detox wasn't mixed with residential. Rebuilt ads to match the new structure — each campaign got its own headlines and angles. Tightened match types to cut drift, built a real negative keyword system, and put controls in place to suppress Medicaid traffic from siphoning spend. The goal: stop paying for the wrong clicks.

Step 2: Landing Page CRO

High-intent clicks are fragile. If they hit a generic brochure page, they bounce. So we built crisis-focused pages with clear next steps and copy that matches what families are actually feeling. Split-tested against the old generic page — measured contact rate, call quality, and time on page. Then rolled out intent-matched pages for each ad group. Detox traffic lands on a detox page. Residential traffic lands on a residential page. When the ad promise and the page match, more clicks turn into qualified calls.

Step 3: Clean Up Ad Assets

This is where spend leaks quietly. Paused underperforming sitelinks and callouts getting impressions but not producing results. Shut off auto-applied assets so Google couldn't add headlines that diluted message match. Rebuilt everything with clear, action-driven copy tailored to each campaign.

Step 4: Train Google on Admissions

This is where performance stabilizes. Fed qualified outcomes back into Google — not just calls and form fills, but pre-screens, insurance approvals, and actual admissions. Filtered out low-quality signals so the system isn't trained on garbage. Once Google had the right data, we trained it to favor admission-likely leads. This is the step that turns "more leads" into more admits without increasing spend.


The Results (60 Days)

MetricBeforeAfter
Monthly Ad Spend $150K $150K (no increase)
Monthly Admissions (Ad-Driven) 12 21
Cost Per Admission $12,500 $7,150 (↓ 43%)
Operational Impact Week-to-week swings Stable census, easier staffing

No new channel. No budget increase. Every gain came from tightening what they were already paying for. But the real win wasn't just the numbers — it was the operational impact. The week-to-week swings calmed down, staffing got easier to plan, and revenue forecasting stopped feeling like guesswork.


Quick Self-Audit

If you answer "no" to three or more of these, your admissions volatility isn't random. It's built in.

Campaigns separated by intent & geo?
Admissions traced back to campaigns?
Intent-matched landing pages?
Medicaid/uninsured traffic suppressed?
Ads differentiated from competitors?
Extensions audited regularly?
Search terms reviewed for patterns?
Qualified outcomes fed back to Google?

Rule of thumb: fix the leaks before you increase spend.


Ready to Fix Your Funnel?

If your center is spending $30K+ a month on Google Ads and admissions feel unpredictable, the problem is almost never the platform. It's the setup. Start with our free landing page grader to check for the most common leaks — or book a call and I'll map your full Click-to-Admission funnel personally.

Book a Free Strategy Call

I'll map your full funnel from search to admission, pinpoint where admits and budget are leaking, and give you a prioritized fix list you can execute immediately. No pitch. No pressure. I only take 3 new audits per month.

Book Your Free Strategy Call →

No new channel. Just fixing what was broken.