Analytics & Attribution · Services · 210 Digital Marketing
Most healthcare marketing dashboards celebrate form fills, MQLs, and last-click conversions — none of which pay the mortgage on the operatory. We measure against confirmed bookings in your EMR or PMS, through a founder-patented multi-touch attribution model that tells you which channels actually bring patients in.
8–14
Touchpoints in a typical healthcare patient journey
30–50%
Budget leak in siloed, last-click attribution
12,091,041
USPTO attribution patent · issued
What our dashboards look like
Booked patients · MoM
2,847
+24%
Cost per acquisition
$82
↓ 31%
Organic sessions
184k
+67%
Anonymized 90-day cohort from a multi-location outpatient client. Channel attribution stitched across paid, organic, referral, and direct — deduped against EHR-confirmed bookings.
Confirmed bookings pulled from your EMR, PMS, or scheduling system via HIPAA-compliant integrations. The only conversion event that pays your lease.
Not all channels bring equal patients. We segment lifetime value by acquisition source so you stop optimizing for cheap leads that never return for the treatment plan.
Which touchpoints assist bookings and which cannibalize credit. Our graph shows the full funnel — paid, organic, social, video, KOL — not the last-click illusion.
Models decay. Privacy changes. iOS updates break pixels. We flag when your attribution is drifting away from ground-truth bookings, before the budget goes sideways.
Google Analytics shows assisted conversions but defaults to last-click for revenue. In healthcare that means branded search usually takes credit for work done by awareness impressions, organic content, KOL posts, and referrals — so awareness channels get defunded and the whole funnel collapses within a quarter.
Healthcare also has data-sharing constraints GA4 was never designed for. Form submits are HIPAA-sensitive. Phone calls go through CallRail. Bookings happen in an EMR behind a firewall. Off-the-shelf dashboards simply do not see the booking event — which means they cannot attribute it.
Our stack closes that loop. We pipe the booking signal back into the attribution graph through HIPAA-compliant server-side integrations, without exposing PHI to ad platforms.
Tooling we integrate
Server-side GTM, measurement protocol, and conversion-API integrations. Pixels are replaced where regulation demands it. No PHI is ever sent to ad networks. We audit data flows against HIPAA minimum-necessary standards before anything ships.
We connect your scheduling system (EMR, PMS, scheduler) back to the attribution graph as the ground-truth booking event. Secure middleware, encrypted at rest and in transit. The booking triggers attribution without ever exposing identifiable health data.
Our AI attribution engine (USPTO 12,091,041) weighs every touchpoint in the funnel. Awareness impressions get credit. Organic visits get credit. KOL interactions get credit. Branded search does not hog the last click.
Looker Studio or Power BI, tuned to the decisions your ops team, CMO, and board actually make. Patient LTV by source. Channel efficiency vs. booking volume. Attribution drift alerts. Weekly commentary from a senior strategist, not an automated report.
Insight without action is a PDF. Every week, distribution budgets across Paid Media, SEO, Social, and KOL are reallocated based on real booking performance, not platform dashboards.
Yes. We use server-side tagging, HIPAA-compliant middleware, and minimum-necessary data flows. No PHI is ever sent to ad platforms. All integrations sign a BAA where one is available, and we audit the data pipeline against HIPAA Security Rule requirements before launch.
Either. For large systems, we work alongside internal analytics, BI, and data science teams — complementing them with the attribution modeling and healthcare-specific integrations they typically lack. For practices without an internal team, we run the whole stack ourselves and deliver dashboards and commentary directly to leadership.
We have integrated with Epic, Athenahealth, eClinicalWorks, NextGen, Dentrix, Eaglesoft, NexHealth, SimplePractice, Kareo, DrChrono, and others. If your system has an API or HL7/FHIR endpoint, we can pipe the booking signal in.
CRM dashboards show pipeline inside the CRM — what the sales team touches. They do not see awareness media, organic search, KOL content, or offline touchpoints unless you manually tag them. Our model reads all paid, organic, social, and offline channels as one graph, and reconciles CRM pipeline against the full funnel.
Typical setup ranges $8,000–$25,000 depending on system complexity (number of integrations, existing GA4/tag state, EMR access). Ongoing dashboards, attribution modeling, and strategic commentary run on a monthly retainer alongside media or content engagements. Most clients see 20–40 percent reduction in cost-per-booking within 90 days from better budget allocation.
Yes. Our standard intake includes a discovery audit of current tagging, pixels, CRM setup, and reporting. You receive a written assessment with findings and priorities regardless of whether you continue with 210 — often the highest-impact fix is something you can implement internally in a week.
Measure against booked appointments. Rebalance budgets on what actually produces patients.
Analytics references