Healthcare & Behavioral Health
The causal measurement platform built for regulated healthcare.
From the first pixel to the patient admit. HIPAA-compliant by design, BAA included by default, and anchored to the only outcome that counts: admissions, not form fills.
Trusted infrastructure: 23 years engineering performance marketing · $1B+ revenue modeled to source · HIPAA-regulated environments since day one
The Healthcare Tracking Trilemma
Before you can measure, you have to track. In healthcare, even that's the problem.
Meta, Google, and TikTok won't sign a BAA. That's their policy, not our position. Which leaves every health system with three bad options:
Run the pixels anyway.
Risk it. Hope no one notices.
HIPAA violations, OCR enforcement actions, civil monetary penalties, class-action exposure, reputational damage.
Turn the pixels off.
Go dark on measurement.
No conversion signal. No optimization. No retargeting. Budget allocated by gut while the platforms self-report unchecked.
Buy compliant pixels.
Solve compliance only.
Premium per-event fees that fix the legal exposure but not the measurement. No causal evidence. No reconciled number.
The fourth option: Mediaura Signal does both.
BAA included by default. First-party, HIPAA-safe tracking on your domain, plus the full causal measurement stack on top of it. Compliant pixels are table stakes. Defensible numbers are the product.
Every healthcare marketing report is built on four broken assumptions.
Ad platforms won't sign a BAA.
Which forces the trilemma above, and means most "analytics" in healthcare starts from an illegal or empty data layer.
Identity fractures across the journey.
A patient sees an ad on their phone, researches on a laptop, calls the front desk, and shows up at intake. Your analytics sees four strangers.
Platforms grade their own homework.
Google reports Google's wins. Meta reports Meta's. Add them up and you've "driven" 240% of your real revenue. No independent source of truth.
Revenue lives where tracking can't.
The conversion isn't a form. It's an admit. The path runs through PHI-restricted systems where most measurement tools can't legally operate.
Better dashboards on broken inputs just produce prettier wrong answers. Signal is designed to solve all four as one connected system.
The Platform
One connected system, from pixel to admit.
Signal Tracker
First-party, HIPAA-safe capture on your domain, bridging call tracking, CRM, EMR, and ad platforms.
Identity Resolution
One patient, not four strangers, across devices and offline touchpoints.
Revenue Mapping
Every admit, assessment, call, and walk-in mapped back to the campaign that earned it.
The Fusion Engine, powered by Aura
Three causal engines (M-CE, Meridian, Robyn), anchored to geo-holdout experiments, fused into one number with calibrated confidence.
In behavioral health, the conversion is an admission and the dollar figure is the case's verified expected value: insurance-verified, not a booked receipt that posts months later. Signal measures against that value from the first click forward. Channels are ranked by patient value, not admit count.
Validation
"How do we know any of this is right?"
The question every buyer should ask every measurement vendor. Our answer is built into the platform, not the pitch:
Validated on data it has never seen.
Forecasts are scored out-of-sample against holdout weeks. A model that can't predict the future doesn't get to explain the past.
Scored against an honest baseline.
Every forecast must beat a seasonal-naive benchmark to count. No grading on a curve. No cherry-picked windows.
Engine agreement is visible.
Three causal engines plus experiments score every channel independently. You see where they agree, and where they don't.
Disagreement triggers experiments.
Low-agreement channels are queued for geo-holdout testing. Disputes are settled by evidence, not by the model we like best.
Trust isn't claimed once in a pitch. It's re-earned on a schedule.
Compliance
Compliant from the first pixel. Verifiable by your security team.
BAA executed before any data moves. PHI scrubbed at your boundary, before any signal leaves your environment. Aura, our AI analyst, never receives PHI and your data never trains the model. For behavioral health clients, 42 CFR Part 2 is a hard constraint, not a footnote. Fail-closed audit logging and architectural tenant isolation throughout.
Your CISO has questions. We wrote a page for them.
Read our security posture →What We've Found
A real audit example.
A multi-site behavioral health system believed their digital channels were underperforming. Leadership was preparing to cut.
229,000 call records miscredited.
Every one of those phone-sourced patients was being attributed to "direct" or "organic." The call tracker, the CRM, and the analytics layer were operating in different universes.
48 hours to deploy the fix.
Signal Tracker stitched each call back to its originating session, and the campaign that earned it, via first-party identity resolution.
6× more digital admits revealed.
Corrected digital share of patient admits moved from 7–13% to 63–79%. The marketing budget had been working. The measurement layer just couldn't see it.
We don't find anomalies once a quarter. We find them on day one. The first audit always reveals something this big.
See what your current stack is miscounting.
A complimentary measurement audit with a Mediaura engineer, not a sales rep. Most audits uncover broken tracking and missing revenue inside the first fifteen minutes. We'll show you yours.
What happens next:
- 30-minute working session with an engineer
- Live audit of your current tracking and attribution gaps
- A specific, prioritized list of what's broken and what it's costing you
- BAA executed before any data moves; onboarding in 30 days or less
Bold patterns. Boring rigor.