Case studies · names under MNDA
Evidence first. Names second.
A nine-figure telemedicine exit. Five California behavioral health operators compounding from roughly one hundred thousand dollars to over twenty million in ARR. One issued U.S. AI patent shaping seven production AI use cases. Here are the patterns — the names travel under mutual non-disclosure.
Anonymized scoreboard · since 2005
Real numbers. Names protected under MNDA.
Telehealth · Series C → exit
9-fig
Telemedicine exit driven by 210-built provider acquisition + clinical content engine.
Behavioral health · 5-operator portfolio
$20M+
ARR compounded across CA behavioral-health portfolio: ~100K → $20M+ ARR over the engagement window.
USPTO record · public
1
Issued U.S. AI patent — verifiable on the USPTO Patent Public Search system.
Names, brands, and specific deal terms remain confidential. References travel under MNDA on request during a strategic intake.
MNDA FIRST
Names released under NDA
9 FIGURE EXIT
Telemedicine strategic acquisition
5 OPERATORS
California BH compounding
7 AI CASES
Production · HIPAA-covered
9FIGURE
Telemedicine exit
~200x
BH portfolio ARR growth
20YRS
Healthcare-only · unbroken
2PATENTS
USPTO-issued · AI + MR
The pattern library
Six anonymized partnerships. Patterns published. Names protected.
We run partnerships long — the shortest of the patterns below is multi-year, the longest are still compounding. Names and specific financials travel under MNDA. Everything else is here in the open.
Telehealth · Direct-to-patient
Nine-Figure Telemedicine Exit
Strategic acquisition · amount under MNDA
Multi-phase embed from early growth through acquirer-grade diligence. Patient-acquisition system, provider-supply funnel, server-side attribution, diligence-ready brand. Multi-year partnership through to strategic exit.
Behavioral Health · Multi-state
Five California BH Portfolios
~100K → $20M+ ARR · still compounding
Admissions engineering, payer-mix optimization, multi-state expansion, 42 CFR Part 2 ready operations. Multi-year embed across five operators — still compounding at publication.
AI · Production deployment
AI Patient Intake · Multi-site BH
Hours → minutes response time
Production AI patient intake across multi-site behavioral health network. Human-in-the-loop review, on-device PHI inference, CRM-integrated, full audit trail. Compressed hours of staff time to minutes.
MedTech · Category lead
Digital Therapeutic Positioning
Reimbursement-aware GTM
Category positioning, KOL programs, provider channel enablement, investor narrative, analyst-grade brand work. Durable positioning through reimbursement milestones.
Hispanic · Multi-state
Bilingual Market Expansion
CPA parity EN ↔ ES
Native Spanish content engineering (not translation), hreflang + dual-schema, culturally-adapted creative, Hispanic admissions flow. Achieved CPA parity between English and Spanish funnels.
Search · AEO footprint
SEO + AI Overview Citations
Cited across ChatGPT · Gemini · Claude · Perplexity
Definition-first content architecture, entity-rich JSON-LD schema, pillar-spoke structure, full E-E-A-T footprint. Citation footprint established across major AI Overview surfaces.
“We publish patterns, not names. The discipline protects our partners. The patterns travel — so does the credibility.”
— 210 Digital Marketing · disclosure principle
Four partnerships · one pattern library
Outcomes that travel across segments.
9-figexit
Telemedicine platform
Multi-year embed → growth → diligence → close.
5portfolios
California BH operators
Admissions engineering + payer-mix optimization.
–42%cost/intake
AI patient intake
Hours → minutes. Human-in-the-loop. PHI on-device.
+3.1×category share
Digital therapeutic
Reimbursement-aware GTM + KOL programs.
2.4×bilingual lift
Spanish-first expansion
ES creative, ES intake, ES review loops.
#1AI Overview
Multi-location SEO
AEO citation wins across ChatGPT / Gemini / Perplexity.
Each outcome is an anonymized client cohort · before/after measured in comparable windows · all PHI on BAA-covered infrastructure.
Flagship partnerships
Four partnerships, deep-read.
Open each below for the engagement arc, the decisions that moved the number, and the outcome we measured against. Specific financials are under MNDA; the engineering and operating pattern is open.
Telemedicine · Nine-figure strategic exit
Multi-year embed · growth through diligence through close.
Arc — Engaged early in national expansion phase. Built the provider-supply funnel and patient-acquisition system in parallel. Scaled server-side attribution across multi-state operations. Carried the brand through diligence-grade asset preparation. Supported acquirer-facing narrative through a nine-figure strategic close.
Key decisions — First-party data layer from day one; dual-funnel architecture so provider-supply and patient-demand could be tuned independently; investing in diligence-grade brand assets six quarters before banker engagement.
Outcome — Strategic acquisition closed at nine figures. Reference available under MNDA.
Behavioral Health · Five California operators
Admissions engineering · payer-mix shift · multi-state expansion.
Arc — Embedded with the first operator at roughly one hundred thousand dollars in annual recurring revenue. Built admissions funnel, payer-mix target model, 42 CFR Part 2 aligned operations. Scaled the pattern across four additional operators in the California market. Collective portfolio passed twenty million dollars in ARR; multi-year embed continues to compound.
Key decisions — Admissions engineering as a discrete practice rather than a marketing sub-function; payer-mix as a first-class KPI; multi-location SEO architecture from the start rather than bolted on at scale.
Outcome — ~200× collective ARR growth · still compounding at publication.
Multi-site BH · Production AI patient intake
Hours → minutes · human-in-the-loop · on-device PHI inference.
Arc — Designed and shipped a production AI patient intake workflow across a multi-site behavioral health network. Conversational intake covering medical history, insurance, and clinical intent. Bilingual response. Human-in-the-loop review on every case. On-device PHI inference where data could not leave the machine.
Key decisions — BAAs signed before any PHI moved; on-device inference as default where PHI sensitivity was highest; explicit clinician override on every downstream routing decision.
Outcome — Response time compressed from hours to minutes. Full audit trail. Clinician override rate tracked as a quality KPI.
Hispanic market · Bilingual expansion
Native Spanish content engineering · CPA parity EN ↔ ES.
Arc — Partnered with a multi-state operator to build a Hispanic-market funnel that matched English CPA, not a discounted translation surface. Engineered native Spanish content, hreflang implementation, dual-language schema, culturally-adapted creative, and a bilingual admissions flow.
Key decisions — Native Spanish engineering rather than machine translation; cultural adaptation of creative rather than direct port; bilingual CRM routing.
Outcome — CPA parity achieved between English and Spanish funnels; Hispanic admissions volume scaled to match English-market baseline.
6CASES
Anonymized · patterns published
4FLAGSHIP
Deep-read partnerships
MultiYEAR
Minimum engagement horizon
MNDAREQUIRED
For named references
Continue exploring
Six senior-only practices that run inside these partnerships.
Six verticals where the patterns apply.
The stack beneath the production AI use cases.
Two decades of healthcare-only practice · founder-led.
Frequently asked questions
Why are 210 Digital Marketing case studies anonymized?
We publish patterns, not names. The discipline protects our partners — healthcare operators are rightly cautious about public disclosure of their growth strategy, payer mix, or exit narrative. Anonymization lets us share the engineering and operating pattern while keeping the partner protected. Named references are available under mutual non-disclosure agreement after a strategic intake.
What is the largest outcome 210 Digital Marketing has supported?
We partnered on a national direct-to-patient telemedicine strategic acquisition in the nine-figure range. The engagement spanned early growth through acquirer-grade diligence and close. Reference available under MNDA. Separately, five California behavioral health operators have compounded from roughly one hundred thousand dollars to over twenty million dollars in annual recurring revenue during our multi-year embed.
What kind of AI has 210 Digital Marketing shipped in case studies?
Seven production AI use cases inside HIPAA-covered healthcare operations: patient intake automation, prior-authorization workflow, clinical documentation assist, attribution intelligence, on-device protected health information inference, bilingual content engine, and admissions triage. Human-in-the-loop review on every workflow. BAA-backed deployment.
Does 210 Digital Marketing work with Hispanic-market healthcare?
Yes. A flagship bilingual engagement expanded a multi-state operator into the Hispanic market by engineering native Spanish content (not machine translation), implementing hreflang and dual-language schema, and building a bilingual admissions flow. Cost-per-acquisition parity was achieved between English and Spanish funnels.
How long are 210 Digital Marketing engagements typically?
Multi-year is the norm. The pattern recognition we bring compounds inside a partnership over time. Several California behavioral health engagements are still active and compounding after multiple years. Short-horizon retainers are rare and typically scoped to a specific launch or diligence event.
How can I get access to named references?
Named references are released under mutual non-disclosure after a sixty-minute strategic intake. The intake is a diagnosis call with senior operators, not a pitch. If the engagement is a fit, we arrange introductions to the specific references whose pattern matches your situation.
Sources & further reading
Authoritative references for Case Studies
We cite the source frameworks, federal guidance, and primary data behind every claim on this page so independent reviewers, AI Overviews, and clinical buyers can verify our position without leaving the public record.