Healthcare & Behavioral Health
The Causal Measurement Platform Built for Regulated Healthcare.
From the first pixel to the patient admit. Built for HIPAA-regulated organizations, Business Associate Agreement included, 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 tracking on your domain, built for HIPAA-regulated organizations, 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 capture on your domain, built for HIPAA-regulated organizations, reading from call tracking, CRM, and intake systems and connecting them to your ad spend.
Identity Resolution
One patient, not four strangers, across devices and offline touchpoints.
Revenue Mapping
Admits, assessments, calls, and walk-ins mapped back to the campaigns that earned them, with conflicting records sent to a review queue.
The Fusion Engine, Powered by Aura
Multiple causal engines, including M-CE, Meridian, and Robyn, fused into one estimate with a confidence range. When a geo-holdout design is in place, results are causal estimates. Without one, they're statistical associations, and Signal labels them that way.
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.
Multiple causal engines, plus holdout results where you've run them, score every channel independently. You see where they agree, and where they don't.
Disagreement Triggers Experiments.
Low-agreement channels become our recommendation for your next geo-holdout, which you approve and your team or agency runs. 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
Built for HIPAA From the First Pixel. Verifiable by Your Security Team.
BAA executed before any data moves. Signal's tag refuses to read password, payment card, and health-related form fields, so their contents never leave the visitor's browser. Whatever it does send travels over TLS to a dedicated collection service, where identifiers are hashed with a key unique to your organization, and all of it is handled as PHI under our BAA. Aura, our AI analyst, works inside the platform under the same BAA. Your data is never used to train a generative AI model, such as a language model or synthetic data generator, without your written consent. Programs subject to 42 CFR Part 2 sign a Part 2 schedule to the BAA before deployment. Fail-closed audit logging and 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.
The Fix Was Deployed in 48 Hours.
In this engagement, 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.
This is the kind of gap a first look is designed to surface.
Bold patterns. Boring rigor.
Start With the Fit Check
Free and honest, with no obligation on your side. If your data can support causal conclusions, you'll get a written fixed-fee quote and timeline. If it can't, you'll know that too.
Start the Fit Check →