Results — AdmissionsEngine
avg 43%
Reduction in cost-per-admit across clients
avg 42%
More admits than client-set targets
100%
Of clients reached full facility occupancy
$100M+
Total ad spend managed across all verticals
CASE 01 Multi-level Care · Austin, TX

Beating their admit goal by 10% while cutting CPA by 40%.

The Problem

An Austin addiction treatment center came to us with a clear-eyed assessment: traffic wasn't the issue, budget wasn't the issue. The problem was efficiency. CPAs were climbing, payer quality was inconsistent, and the system wasn't being held accountable to admits — only clicks. They gave us a defined monthly admit target, a CPA ceiling they couldn't breach, and a preference for premium policyholders. They wanted results, not reports.

What We Built
Intent-first traffic only — no broad-match volume, no awareness campaigns bleeding budget
Insurance qualification baked into the funnel before leads ever reached admissions staff
Campaign optimization anchored to verified admits, not form fills or call counts
Relentless pruning — anything that didn't move the admit needle got cut, regardless of CTR

"When you treat CPA as a hard constraint — not a suggestion — volume and efficiency stop being opposites. That's the system we installed here."

Outcome vs. Target 📍 Austin, TX
10%
↑ More admits
vs. client-set monthly target
40%
↓ Lower CPA
vs. client's maximum allowable target
Facility occupancy Consistently filled
Payer mix outcome Higher concentration of premium insurance
Budget utilization Results achieved under authorized spend
Facility type Multi-level care / full continuum
Primary channels Google Ads · Meta Ads
CASE 02 Multi-level Care · Rural Illinois

75% more admits than asked for. Location was never the constraint.

The Problem

A treatment center in rural Illinois came in convinced their situation was a ceiling: far from major metro areas, most local residents on Medicaid or non-accepted insurance. They believed geography and payer mix were fixed constraints. They asked us to run PPC cautiously — with a defined admit target, a strict CPA cap, and a strong need for commercial insurance. Their ceiling was actually a funnel problem wearing a geography costume.

What We Built
Ignored the local market entirely — engineered demand around who was willing to travel, not who lived nearby
Targeting built around insurance acceptance and active treatment-seeking intent, not geography
Zero-leakage qualification — if someone couldn't travel or didn't carry accepted insurance, they never entered the pipeline
Admissions team protected from unqualified volume from day one

"Location becomes irrelevant when acquisition is engineered correctly. The limiting factor was never the market — it was the assumption that the market was the limiting factor."

Outcome vs. Target 📍 Rural Illinois
75%
↑ More admits
vs. client-set monthly target
46%
↓ Lower CPA
vs. client's maximum allowable target
Facility occupancy 100% — facility filled
Payer mix outcome Strong concentration of premium insurance
Geography strategy Travel-intent targeting — local market bypassed entirely
Facility type Multi-level care / full continuum
Primary channels Google Ads · Meta Ads

Three patterns that show up in every underperforming BH account.

Both case studies above came in with different surface problems. Underneath, the root causes were the same.

🔍
The problem is almost never traffic volume

Both clients had traffic. One had budget. Neither had a system that filtered for the right patient profile before the lead ever reached admissions. Volume without qualification is just noise at scale.

🗺️
Geography is a funnel problem, not a market problem

The rural Illinois facility believed their market was their ceiling. It wasn't. When you engineer for travel intent and insurance acceptance from the first click, geography becomes a non-factor. Patients travel for care when the acquisition system is built to find them.

📊
CPA only drops when you optimize for admits — not leads

Both clients saw significant CPA reductions — 40% and 46% — not because we found cheaper clicks, but because we stopped counting the wrong things. When admits become the optimization signal, everything upstream gets sharper.

The numbers above started with an audit call.

Every engagement starts the same way — a 30-minute call to review what you're running, identify where the leakage is, and map what a properly structured BH acquisition system looks like for your specific market and payer mix. No pitch. No pressure.

Request an Audit