MedTech-native · 30-60-90-Day Roadmap
A MedTech-native marketing engine.
Deployed end-to-end in Month 1.
Week 1 trains MH-1 on your surgeons, clinical library, and CRH O'Regan intel. Weeks 2–3 ship the first proof-of-expertise content: eligibility quiz, FAQ, treatment comparison, paid creative. By Seattle launch the engine is battle-tested on hundreds of iterations.
Week 2–3
First MedTech samples ship
MedTech
Specialist co-pilot on day one
$5K
Seattle paid search benchmark
Shipped in 6 daysBefore a dollar of retainer
ICP + persona research
40+ AIO keyword audit
GTM v3 with Gareth + Chris feedback applied
CPOM / Stark / AKS compliance frame
01 The economics
Same $30K.
Roughly $200K of agency scope.
A MedTech-native engine that gets sharper every sprint.
Below: how the $30K stacks against the three alternatives Meribel could buy instead. Read one row at a time, left to right.
02 Against every alternative
Read across. The $30K covers more ground, per tactic and over time.
Three ways Meribel could spend marketing dollars. Four dimensions that decide who wins.
Dimension
Traditional agency
Subject-expert writers / "agency + AI"
MarketerHire + MH-1
Speed & iteration
Slower, linearly
Research, briefs, drafts, SEO, and reporting run as sequential sprints. First content around Month 3.
Faster, but still linear
Even subject-expert writers start each brief from zero context. AI accelerates one step, not the pipeline.
Compounding feedback loop
Daily test cycles across every channel. Insights feed the next draft the same week. More iterations per month than any agency can staff.
Tactical breadth
Narrow for the price
Scope is whatever fits in the retainer hours. Channel specialists are extra line items.
Content-heavy
Strong on long-form. Paid, lifecycle, GEO, and measurement usually belong to another vendor.
Far more per dollar
Blog, FAQ, quiz, social, SEO, GEO, paid creative, dashboards. One retainer executing every tactic in parallel, not stacked vendors.
The "brain"
Worst, even for specialists
Humans only. Category knowledge walks out the door at quarter-end. Every new person re-learns Meribel from scratch.
Off-the-shelf LLM
Generic models with a prompt library. No company-specific MedTech corpus and no proprietary training data.
MedTech-trained by default
MH-1 trained on 10,000s of companies and marketers across MarketerHire, including medical device and healthcare subsets. Ingests your technical docs, surgeon reviews, and CRH O'Regan intel, and carries that context forward every sprint.
Memory & compounding
Starts over each brief
No persistent memory. Month 4 looks the same as Month 1.
Shallow memory
Chat history at best. No structured learning from what worked, what lost, or what legal struck.
Persistent memory
Every sprint is remembered in a structured way. Wins, losses, clinical edits, and legal notes feed back into the training loop. By Seattle launch the engine is refined, battle-tested, and compounded.
03 The compounding effect
By Seattle launch, the engine is battle-tested on hundreds of iterations.
Agencies sell hours. You pay for output this month, and that's it. MH-1 is a different product: a living context layer that learns Meribel in real time and compounds the value of every dollar you've spent with us.
Month 4 ships better work than Month 1.
Not because we hired better. Because the engine learned you.
Not because we hired better. Because the engine learned you.
Persistent
Structured memory of clinical edits, legal notes, and what converted, so the same ground isn't covered twice.
Daily
Test results, winning creative, and search data feed MH-1 the same day, training the next draft.
10,000s
Of companies and marketers already on MarketerHire. That training set is the moat against any "agency + AI" pitch.
How the engine sharpens over time
Month 1
Learns your category
Ingests surgeon reviews, clinical library, positioning vs. CRH O'Regan. Ships MedTech-fluent from Week 3.
Month 2
Learns what converts
Test data, legal edits, and performance feed back in. Winning angles scaled. Losing ones retired for good.
Seattle launch
Battle-tested
Hundreds of iterations behind every asset. MH-1 knows your business deeper than any new hire reasonably could.
Month 12
Category-leading
A proprietary marketing brain no competitor can replicate without the same 12 months of Meribel-specific learning.
Same $30K retainer · Quality compounds because the engine remembers
See the engine in production
Traditional SEO vs. MH-1
Full SEO + AIO audit
GTM strategy example
Brand research report
04 The 90-day plan
From Month 1 end-to-end brand to Seattle paid activation. No gates in front of production.
01
Week 2–3
First samples
$5K
Paid benchmark
Day 30
Cadence live
MedTech
AI trained on Meribel's category
4 assets
Quiz · FAQ · comparison · paid creative
Day 14
Dashboard & attribution operational
$5K
Seattle paid search benchmark
Month 1 proof-of-expertise content · driving to the website
Eligibility quiz · answers first
Ungated by default. Patients get results without an email wall; opt-in is offered after. Co-designed with Luca / Andrew clinical inputs.
FAQ / clinical blog post
AEO- and GEO-optimized. Engineered for featured snippets, LLM citations, and People Also Ask.
Treatment comparison expansion
Builds on Amanda's prior work vs. CRH O'Regan. Claims cleared for CPOM / Stark / AKS, sourced from surgeon reviews and clinical library.
Paid creative · website CTA
Concept + assets for a paid channel ad driving to the website. Runs alongside the $5K Seattle paid search benchmark.
Thought-leadership whitepaper
Category-authority long-form for referring MDs + investors. Anchor piece for hub-and-spoke, repurposed into blog + social.
Iteration · reviewed in AIR
Every draft runs through AIR for expert human review before it leaves the building. Week 2–3 is the first iteration by design; V2 and V3 follow the same month.
Compliance railsFirst 2–3 pieces, legal-reviewed before scaling
CPOM
Stark Law
Anti-Kickback
Clinical decisions stay with doctors
Four pillars of Month 1
MedTech expertise, proven in output
Week 1 trains MH-1 on your surgeons, clinical papers, CRH O'Regan intel, and brand voice. Week 2–3 sample is built to make Meribel feel we understand the category.
End-to-end brand
ICP on life-stage triggers, positioning vs. CRH O'Regan, messaging hierarchy, CPOM / Stark / AKS-cleared claims, visual + verbal identity. The 6–8 week agency brand sprint, shipped inside Month 1.
GEO / AEO + hub-and-spoke
Content engineered to be surfaced by ChatGPT, Gemini, Perplexity. Hub pages + spoke articles linked by clinical intent. Life-stage content seeded into Reddit + Facebook communities where patients already search.
Pre-revenue measurement + $5K benchmark
No CAC, LTV, or attribution yet, so we build them. GA4, GTM, HubSpot, UTM taxonomy, dashboard live before Month 2. $5K Seattle paid search benchmark gives the first real CPC / CAC math.
Co-pilots this phase
MedTech specialist
Content
Brand
Paid search · Google + Bing
SEO / GEO
Success at Day 30
Quiz, FAQ, treatment comparison, and paid creative shipped Weeks 2–3; iterated via AIR
End-to-end brand approved (positioning, claims, identity) ready for Month 2 launch
GA4, HubSpot, dashboard live; first 2–3 pieces legal-cleared (CPOM / Stark / AKS)
$5K Seattle benchmark complete: CPC, CAC math, BOFU competitive density
Willingness-to-pay test designed with Gareth to set CAC guardrails
Month 2 calendar approved against validated samples
Decisions unlocked
Whether MedTech voice & clinical accuracy are landing, judged on real samples, not briefs
Which content formats to scale first for the website funnel
Whether Seattle paid search CAC economics support the Path A clinic model
02
AIR
Expert review
Late Jun
Surgeon webinar
Day 61
Paid ready
Every asset, human-reviewed before it ships
01
MH-1 draft
02 · AIR
Expert review
03
Voice + written notes
04
Legal sign-off
05
Ships
72h
Brief to first draft
48h
Client feedback window
2 max
Revision rounds before legal
1 pass
Legal review per asset
AI content safety standard · signed off before Month 2
Green · proceed
AI copy, headlines, static imagery
Blog, FAQ, ad creative, email. Human-reviewed in AIR, legal-cleared.
Amber · labeled + limited
Patient UGC, AI-assisted
Consent-verified. Clearly labeled. No synthetic patient stories. Volume capped per cycle.
Red · never
Physician impersonation & synthetic clinical claims
No AI-generated doctor likenesses, voices, or endorsements. No invented outcomes or stats.
12–20 / wk
Creative variants per channel
72 hours
From winner identified to scaled
2 rounds
Revisions before legal sign-off
Day 61
Paid media ready to activate
Three pillars of Month 2
Content governance + output
Brief, approve, draft, 2 revisions, legal sign-off. No exceptions. Blog, email welcome, social, and quiz funnel live and shipping on approved cadence.
Answer-engine architecture
Every asset engineered for featured snippets, LLM citations, People Also Ask. Two surgeons on TikTok and Reels co-produced with MH-1. Citation rate tracked monthly.
Paid groundwork · Google + Bing + Meta
Competitive research approved by Gareth. Bing added for low-cost reach on older demographics in healthcare. Co-pilots briefed, ready to activate Day 61. Late-June surgeon webinar ships as repurposable, educational (non-promotional) content.
Co-pilots this phase
MedTech specialist
Content
Paid search · Google + Bing
Paid social · Meta
Success at Day 60
Content publishing at consistent, approved cadence
Email welcome series live, leads flowing through HubSpot
Late-June surgeon webinar shipped and repurposed to clips + blog
Paid strategy approved, co-pilots ready to activate (Google, Bing, Meta)
Governance live. AIR review on every asset, first 2–3 pieces legal-cleared
Decisions unlocked
Which content angles resonate in early organic performance
Which paid channel activates first and at what budget
What creative format is working vs. what needs rethinking
03
Seattle
Geo focus
Month 4
Waitlist target
Day 90
Diagnostic
Jul–Sep
Seattle clinic opening window
Month 4
Nurtured waitlist primed for opening
AI DM
Influencer + affiliate outreach at scale
MMM-lite
Causal read on every channel
Three pillars of Month 3
Seattle paid activation
Geo-fenced Google, Bing, Meta, scaled off the Month 1 $5K benchmark. Quiz → waitlist → nurture. Segmented list primed for the clinic opening by Month 4.
Referring-MD activation + influencer DM
Not surgeon recruitment, Gareth already closes surgeons at ~$2K. MedTech lead activates referring primary care & OB/GYN via digital education + HubSpot referral lifecycle. AI-driven DMs scale physician and mom-influencer outreach. PR staged for FDA clearance day.
Day 90 diagnostic
Incrementality tests, weekly Bayesian MMM-lite, brand lift vs. Phase 1 baseline. Month 4 plan drafted from causal data, not last-click attribution.
Co-pilots this phase
MedTech · Physician lead
Content
Paid search · Google + Bing
Paid social · Meta
Influencer / affiliate
Success at Day 90
Awareness campaigns running, winning creative identified
Patient waitlist building in HubSpot, on track for the Month 4 target
Physician pipeline open with education program in place
PR plan ready, clearance announcement can fire immediately
Day 90 diagnostic delivered · Month 4 plan approved
Decisions unlocked
Which channels deserve more budget
When to activate influencer and paid affiliate partnerships
How to accelerate the physician pipeline
Appropriate investment level for the next 90 days
05 Business model context
CAC target is a function of which economic path Meribel takes.
We lock the working CAC target with Gareth in Phase 1, and the Month 1 $5K paid search benchmark gives us real CPC data so Phase 2–3 decisions optimize against Meribel unit economics, not a generic healthcare benchmark.
Path A · Owned clinics
~$2,000–$3,500
Revenue per case
Higher CAC tolerance. Direct patient funnel. Seattle opening in the July–September window sets the model.
Path B · LASIK-style partnership
~$400–$800
Per case via device + royalties
Tighter CAC. Shared economics with partner clinics. Referring physician pipeline is the primary lever.
$600–$1,200+
Working CAC range, locked with Gareth in Phase 1
LASIK
Benchmark comparator for funnel economics
Price test
Willingness-to-pay test inside Month 1
Causal
MMM-lite drives Month 4 allocation
Plan B · if consumer CAC doesn't clear
Same engine pivots to ABM targeting the ~20 large medical-device distributors + hundreds of regional ones. We pressure-test the 0-to-1 consumer model first, and course-correct fast if the math doesn't work.
Our recommendation
Patient-led acquisition + referring-MD activation. Not surgeon recruitment.
You already close surgeons at ~$2K via wine-and-dine, with a year of targets. Marketing dollars compound fastest on the patient funnel and on the physicians who refer into it.
i
Shorter path to revenue. Patient demand is the constraint, not surgeon supply. Every qualified patient books a procedure; every recruited surgeon still needs patients.
ii
Referring MDs multiply. One activated primary care or OB/GYN referrer drives many patients at close to zero paid CAC, compounding the consumer channel.
iii
Brand compounds. Consumer content seeds GEO/AEO authority, review pipelines, and community presence. A surgeon recruiting push does none of that.
Trade-off: patient-led CAC is higher per lead than pharma-style rep-to-doc, and the funnel is longer because flare cycles create buy-now/wait-now decisions. We manage that with the waitlist, nurture, and a referring-MD pipeline in parallel, not sequentially.
06 Investment
One all-in retainer. No hidden co-pilot surcharges.
$30K / month
Co-pilots included. The only additional line is the creative production package you choose.
What the $30K retainer includes
Sam Omidi as CMO / Pilot: strategy, oversight, client lead
4 active co-pilots per phase, including a MedTech specialist on Day 1
MH-1 engine: research, production, optimization, reporting
End-to-end brand build (positioning, claims, identity) in Month 1
Live reporting dashboard, deployed Week 2
Day 90 diagnostic and Month 4 plan
Creative production (digital assets only): $5K, $8K, or $10K/mo, pick one in Phase 1. Month 1 testing is inside the retainer. Scaled creative (especially video) triggers the next tier, and we only propose a tier increase when ad revenue justifies it. · Paid media spend (Month 1 $5K Seattle benchmark + all Phase 2–3 Google / Bing / Meta / programmatic): passes through at cost, no mark-up.
Month 1 trial protection: if the first samples (Weeks 2–3) don't meet the bar, cancel within 14 days for a full refund of the unused portion. 30-day notice to pause or end after Month 1. Clean exit, no clawbacks. The engagement is a commitment; the trained engine lives inside the engagement, which is why every month of work makes the next one better.
Month 1 trial protection: if the first samples (Weeks 2–3) don't meet the bar, cancel within 14 days for a full refund of the unused portion. 30-day notice to pause or end after Month 1. Clean exit, no clawbacks. The engagement is a commitment; the trained engine lives inside the engagement, which is why every month of work makes the next one better.
Who owns what
Co-pilot roles, defined by function.
Flexible by design. Human hours are absorbed by the retainer; if the AI can't deliver, we put more people on it at our expense.
MedTech specialist
Clinical voice, category accuracy, legal-cleared claims.
Content strategist
Calendar, briefs, quiz / FAQ / blog, AEO + GEO.
Brand strategist
Positioning, ICP, messaging hierarchy, identity.
Paid search
Google + Bing: bids, landing, CAC math.
Paid social + influencer
Meta creative, affiliate DMs, physician outreach at scale.
⟶ Working together
A short list from us. A clear RACI for first-round content.
First-round asset
We produce
You provide
Eligibility quiz
Design, logic, copy, embed, tracking
Surgeon input on clinical criteria (Luca / Andrew)
FAQ / clinical blog
Research, draft, AEO + GEO, AIR review
Clinical review + legal sign-off on first 2–3 pieces
Treatment comparison
Expansion of Amanda's prior work, CPOM / Stark / AKS-cleared
Source claims, CRH O'Regan intel, sign-off
Surgeon testimonials
Interview script, remote capture, edit, publish
Surgeon intros + 30 min of their time
Patient testimonials
Consent flow, capture kit, edit, labeled publish
First patient introductions post-opening
Procedure video
Script, edit, motion-graphics overlay, distribution
Clinical footage or B-roll access (OR or approved library)
Paid creative · website CTA
Concept, assets, tests, $5K Seattle benchmark
Brand approval on top-testing variants
Web dev resource
One engineer for funnel, quiz embed, landing pages.
Volume + P&L model
Month-on-month procedure ramp so CAC guardrails line up with your investment thesis.
Legal review
Sign-off on first 2–3 pieces: CPOM / Stark / AKS, plus the AI safety one-pager.
Webinar lineup
Doctors confirmed for the late-June educational session.
07 At a glance
Three phases. Clear sequencing. Investment scales at each gate.
Days 0–30 · Brand + MedTech proof
Build the brand. Prove the category.
End-to-end brand (ICP, positioning, claims, identity)
Eligibility quiz · FAQ · treatment comparison · paid creative
AIR human review on every asset
Compliance rails live: CPOM / Stark / AKS
$5K Seattle paid search benchmark (Google + Bing)
Willingness-to-pay test designed
GA4, GTM, HubSpot, dashboard live
Days 31–60 · Content engine
Activate content & governance
AIR review flow live on every draft
Blog, email, social, quiz funnel at cadence
Late-June surgeon webinar shipped + repurposed
Email welcome series active in HubSpot
Paid strategy approved (Google, Bing, Meta)
Days 61–90 · Paid + physician
Scale reach & pipeline
Seattle paid live on Google, Bing, Meta
Waitlist on track for Month 4 target
AI-driven DMs to physicians + influencers
PR staged for FDA clearance day
Day 90 diagnostic · Month 4 plan approved