--- title: "Pinnacle Health" description: "Inpatient / Residential  ·  Paid Media How an Inpatient Rehab Facility Scaled to 95 Admits While Cutting Cost Per Admission by 24% Campaign consolidation and PMAX optimization drove 30% admission growth with improved efficiency — all while spending less. Timeline Q2–Q3 2025 Service Paid Media · Paid Social Location Los Angeles, CA Admissions 95 Total […]" featured_image: "https://webserv.io/wp-content/uploads/2026/02/2024-02-20-1.png" url: "https://webserv.io/about-us/case-studies/inpatient-rehab-la/" date_modified: "2026-04-15T12:07:17-08:00" --- Inpatient / Residential  ·  Paid Media # How an Inpatient Rehab Facility Scaled to 95 Admits While Cutting Cost Per Admission by 24% Campaign consolidation and PMAX optimization drove 30% admission growth with improved efficiency — all while spending less. Timeline Q2–Q3 2025 Service [Paid Media](https://webserv.io/capabilities/paid-media/) · [Paid Social](https://webserv.io/capabilities/paid-media/paid-social/) Location Los Angeles, CA --- Admissions 95 Total admits in Q3 — up from 73 in Q2 Cost Efficiency 24% Reduction in cost per admission quarter over quarter Savings $340K+ In efficiency gains at current admission volume CPA $11,560 Cost per admit — down from $15,177 in Q2 TL;DR ## The Short Version The Problem - Fragmented campaigns starving Google's algorithm of conversion data - White PMAX struggling with high costs and landing page issues - Budget split across too many ad groups to optimize properly The Strategy - Consolidated fragmented campaigns into unified structures - Paused, fixed, and relaunched White PMAX with better landing pages - Shifted focus from lead volume to VOB quality metrics The Result - 30% more admissions in Q3 vs Q2 while spending slightly less - $3,617 savings per admission vs. Q2 - White PMAX became one of the most efficient campaigns at $11,572 CPA The Challenge ## A Fragmented Paid Media Strategy Was Capping Growth An inpatient rehab facility came to us in Q2 2025 facing a common paid media problem: fragmented campaigns weren't generating enough volume for Google's algorithms to optimize effectively. Their strategy of splitting campaigns to control costs had backfired — budget was spread too thin across multiple ad groups, preventing Google's systems from learning which audiences actually converted to high-value admissions. Additionally, their White PMAX campaign was underperforming with high CPAs and landing page issues that hurt conversion rates. They needed a complete strategy overhaul to scale admission volume while improving cost efficiency. - Q2 2025 Baseline - **73 admits** per quarter - **$15,177** cost per admission - **PMAX struggling** with conversion issues Core Problems ⚡ **Algorithm Starvation**Not enough conversion data in any single campaign for Smart Bidding to optimize properly 🎯 **Wrong Quality Signal**Campaigns optimizing for lead volume instead of VOB quality, attracting the wrong patients 📉 **PMAX Landing Page Failures**White PMAX driving traffic to pages that weren't converting, inflating CPA 💸 **Inefficient Budget Split**Too many campaigns competing for the same budget, diluting performance across the board The Strategy ## Three Shifts That Unlocked Algorithmic Performance Rather than patch the existing structure, we overhauled the campaign architecture and changed the core optimization goal — from volume to quality. 01 Campaign Consolidation We reversed the fragmentation strategy by merging all ad groups back into main campaigns. This gave each campaign sufficient budget and conversion data for Google's algorithms to properly optimize for high-value VOBs. Instead of trying to manually control costs through splitting, we let consolidated budgets and smart bidding drive efficiency. 02 PMAX Pause, Fix & Relaunch Rather than accepting poor PMAX performance, we made the decision to pause, rebuild landing pages, and relaunch with refined conversion goals. This allowed the algorithm to restart learning with better quality signals and improved user experience. White PMAX became one of our most efficient campaigns within weeks of relaunch at $11,572 CPA. 03 Quality-First Targeting Refinements We implemented geo-targeting with insurance coverage layers to pre-qualify leads. Device bid adjustments optimized the mobile vs. desktop performance mix, and demographic refinements based on weekly performance patterns ensured budget flowed to the highest-converting audience segments. What We Did ## Execution Across Every Layer Campaign Architecture Overhaul - Consolidated fragmented campaigns to restore algorithm learning - Merged ad groups into unified campaigns for better optimization - Implemented low-intent conversion actions to focus Smart Bidding on quality Landing Page & Creative Refresh - Rebuilt landing pages to reduce bounce rates and improve qualification signals - Implemented periodic creative rotations to combat ad fatigue - Fresh landing pages showed +357% test volume growth in search campaigns Advanced Audience Optimization - Geo-targeting with insurance pre-qualification layers - Device bid adjustments for mobile vs. desktop optimization - Weekly demographic refinements based on performance data Algorithm Optimization - Shifted focus from lead volume to VOB quality metrics - Relaunched underperforming campaigns with conversion goal refinements - Removed low-intent actions, allowing Smart Bidding to optimize for admit quality The Results ## Q3 2025: A Breakthrough Quarter Admission Growth 30% More admits in Q3 vs Q2 — 95 vs 73 — while spending slightly less budget CPA Improvement 24% Reduction in cost per admission — from $15,177 down to $11,560 per admit Efficiency Gains $340K+ In total efficiency gains on current admission volume — $3,617 saved per admit #### Admissions Performance - 95 total admits vs. 73 in Q2 — 30% growth quarter over quarter - Achieved while spending flat compared to Q2 - Demonstrated true efficiency gains, not just increased spend #### Cost Per Admission - $11,560 CPA — down from $15,177 in Q2 - $3,617 savings per admit vs. prior quarter - $340,000+ in total efficiency gains on current volume ## Want results like this for your treatment center? See how our paid media strategy could work for your facility in a free intro call. [Book a Free Strategy Call](https://webserv.io/intro-meeting/) What Made the Difference ## Why This Strategy Worked 01 Trusting the Algorithm with Sufficient Data Campaign consolidation gave Google's Smart Bidding enough budget and conversion data to properly optimize. This counterintuitive move — giving up manual control — actually improved performance across the board. 02 Quality Over Volume Focus Shifting optimization from lead generation to VOB quality metrics meant the algorithm learned what a good admit actually looked like for the facility's business model. We focused on generating $2,000+ daily payer VOBs, not just any VOBs. 03 Willingness to Pause and Rebuild The White PMAX turnaround showed the value of being strategic about when to persist and when to reset. Pausing to fix fundamental issues — then relaunching — delivered better results than trying to optimize broken campaigns in place. 04 Granular Targeting Refinements Geo-targeting with insurance coverage layers, device optimizations, and demographic adjustments ensured budget flowed to the highest converting segments without fragmenting campaigns or starving the algorithm. More Results ## Related Case Studies [ Paid Media Los Angeles, CA 31 31 admits and 42% lower cost per viable from paid media Read Case Study ](https://webserv.io/about-us/case-studies/profound-treatment/) [ Full Funnel Huntington Beach, CA 150% 150% more viable VOBs and 400% more organic traffic in one quarter Read Case Study ](https://webserv.io/about-us/case-studies/silver-lining/) [ Full Funnel Thousand Oaks, CA 42% 42% more approved VOBs and 217% more impressions in one quarter Read Case Study ](https://webserv.io/about-us/case-studies/grata-house/) --- Ready to Scale? ## Let's Build your Patient Acquisition System Trusted by 200+ Treatment centers nationwide ![gallus logo](https://blackbookdata.io/wp-content/uploads/2025/07/Frame-404-2.png) ![refine logo](https://blackbookdata.io/wp-content/uploads/2025/07/Footer-Logo-1.png) ![damore logo](https://blackbookdata.io/wp-content/uploads/2025/07/Group-346.png) ![new method wellness logo](https://blackbookdata.io/wp-content/uploads/2025/07/Logo-white-2.png) ![alina lodge](https://blackbookdata.io/wp-content/uploads/2025/07/ChatGPT-Image-Jun-5-2025-01_32_19-PM-1.png)