HIPAA-Aware Marketing Analytics
Tracking architecture that respects PHI boundaries. Server-side pipelines, BAA-coverable tools, conversion signal that reaches ad platforms in safe form. An analytics setup your privacy office can sign off on.
Healthtech marketing is harder than almost any other category. HIPAA boundaries make standard analytics a compliance exposure, your buyer is rarely just one person, ad platforms restrict half the audiences you need, and trust signals are load-bearing for conversion in a way they aren't for most products. Most agencies have no idea any of this. We've built marketing operations specifically for healthtech, where aggressive growth and conservative data handling have to coexist by design.
Most healthtech sites are quietly running Google Analytics, Meta Pixel, and a half-dozen marketing pixels on pages that touch PHI — or that adjoin PHI closely enough to count under recent HHS guidance. Most teams will only find out the hard way. The fix isn't to abandon measurement; it's to engineer it differently. That's specialist work, and most agencies don't do it.
In B2B healthtech, the buyer is an administrator or clinical leader, the user is a clinician or patient, and the budget often comes from a third party — a payer, employer, or system. Standard funnels model a single linear path and break silently when reality is multi-stakeholder. We design the marketing operation around the actual decision structure.
For consumer-facing digital health, regulatory certifications, clinical evidence, security disclosures, and credentialing surfaces aren't soft brand content — they're the structural reason a wary patient converts instead of leaving. Most agencies treat these as legal afterthoughts. We treat them as conversion mechanics, instrument them, and optimize them as such.
Tracking architecture that respects PHI boundaries. Server-side pipelines, BAA-coverable tools, conversion signal that reaches ad platforms in safe form. An analytics setup your privacy office can sign off on.
Distinct campaigns for clinicians, administrators, patients, and payers — not one funnel pretending to be all four. Content, paid, and ABM motions designed for the actual buying committee in healthcare.
FDA clearance disclosures, HITRUST and SOC 2 surfaces, clinical-evidence pages, and credentialing markers built as conversion components and tested as conversion components. Trust is a measurable variable, and we optimize it.
Hospital systems, health plans, and employer benefits buy on 9-to-18-month cycles. We build the demand, content, and attribution operations that survive that timeline — with multi-touch attribution that doesn't forget what happened nine months ago.
Creative pipelines with claim libraries pre-cleared by legal and clinical compliance. Template-level approval flows that let the team ship variants weekly without sending every asset through ten-day review.
Programmatic landing pages, condition-aware content clusters, YMYL-compliant authority engineering, and AEO so AI assistants cite your product with the right clinical context when buyers ask category questions.
Marketing analytics and compliance posture stop being in conflict. The privacy office becomes a partner reviewing routine work, not a blocker discovering exposure after the fact.
Clinicians land on clinically credible content. Administrators land on procurement-friendly surfaces. Patients land on trust-engineered consumer experiences. The same site speaks fluently to four different audiences without compromising on any of them.
The 12-month enterprise-healthcare sales cycle stops being an attribution mystery. You can show which touchpoints from nine months ago contributed to today's closed-won, which programs are filling the top of pipeline, and what next quarter realistically looks like.
We're platform-agnostic by design — we work with the tools your team already runs, and add only what's missing. The shortlist below is the stack we deploy most often for healthtech engagements.
Tracking & analytics (HIPAA-aware): Freshpaint, Rivery, Stape, server-side GTM — BAA-coverable pipelines with PHI-safe boundaries.
CRM & healthcare platforms: Salesforce Health Cloud, HubSpot (with BAA), Veeva, custom EMR-adjacent integrations.
Patient & consumer engagement: Customer.io, Iterable, Braze — under healthcare-appropriate data-handling configurations.
Data warehouse: Snowflake, BigQuery — with row-level PHI controls and separate planes for identified and de-identified analytics.
Marketing site: Webflow, Next.js — engineered for accessibility (WCAG AA), Core Web Vitals, and security-review readiness.
Compliance & security tooling: Drata, Vanta, Secureframe — for the SOC 2 and HITRUST surfaces buyers expect to see.
Content infrastructure: Sanity, Contentful, custom MDX pipelines — with clinical-review workflow built into publishing.
Every engagement begins with a Discovery Audit — a six-week fixed-scope diagnostic of your current marketing operation. From there, healthtech clients usually move into one of three paths, depending on where the biggest constraint is.
Most common entry. Server-side, PHI-safe pipelines, warehouse attribution, audit trail. Designed so the privacy office signs off and ad-platform performance stays viable. 12 to 16 weeks, with the in-house team operating it afterward.
For teams selling to hospital systems, health plans, or employer benefits. We build the long-cycle ABM motion, multi-stakeholder content, conference and partner programs, plus the attribution layer that survives 12-month sales cycles.
For digital-health companies that need marketing, creative, lifecycle, and analytics run as one operation under a unified compliance posture. Continuous creative under clinical-and-legal review, full attribution ownership, trust-engineered surfaces shipping continuously.
Discovery Audit looks at your full healthtech stack — tracking, CRM, content infrastructure, compliance posture, and how data moves between them — and returns a clear roadmap. Six weeks, fixed scope, your document to keep regardless of next steps.