Industries · Healthcare · Providers · Payers · Pharma · Devices

Healthcare, from a pixel on the practice site to a patient-acquisition engine the system runs on.

A two-location dermatology practice wants to know which households looked at its pricing page. A regional hospital system wants every service line's marketing measured on one person key without moving a single patient record. The graph serves both: demographics, household, mover status and daily intent on 240M adults, with no clinical data in it and none needed.

Book a free demo Start at rung one

No PHI anywhere in the graph. Audiences are built on demographics, household, life stage and research intent, never on a diagnosis.

Household and life-stage fields that drive care decisions: new movers, new parents, age bands, homeowners, modeled income, distance to your locations.
Daily intent on health-adjacent topics people research openly: dental implants, LASIK, Medicare Advantage plans, urgent care near me, physical therapy.
Provider and payer targeting through the business graph: practices, groups and health systems with the people in them, phones validated.

Ad Audiences · Elective care in-market · 15 miles of 3 clinics · 31,400 people

SegmentAge 35 to 64HomeownerWithin 15 milesModeled income: upper bands

SignalsDental implantsCosmetic dermatologyVisited pricing page

ExcludedCurrent patients · hashed list · 8,900

PushedMeta · 58% matchedGoogle · 52%Direct Mail · 5,000

Push to MetaMail the top 5,000Send to the CRM

240M+US adults in the graph

120Mbusinesses, with the people in them

2Tintent signals read a day

400+attributes on a person

What the graph holds for healthcare

The fields that find patients without touching a chart.

Four of the sixteen bundles, picked for this industry. See everything in the graph →

Household & propertyAbout 250 fields on where they liveDistance to your locations, new-mover flag, dwelling type and household composition: the first filter on every patient-acquisition audience.Open this table in the data dictionary → Consumer PersonThe spineAge range, gender, generation and a validated address on roughly every US adult, so an audience can be aged and placed before it is spent on.Open this table in the data dictionary → Intent & linkagesWhat they research, and how the keys joinDaily topic scores for elective procedures, insurance enrollment, senior care and urgent-care searches, joined to the household.Open this table in the data dictionary → Business person & company120M businesses, and the people in themPractices, groups, payers and systems with the administrators, medical directors and purchasing leads inside them, for provider and device marketing.Open this table in the data dictionary →

The ladder · simplest to largest

Five rungs, from a single practice to a health system's warehouse.

Compliance sets the pace in healthcare, so each rung names what the data is and what stays with you. A practice can live on rungs one and two indefinitely; a system usually starts at rung three and reaches five within a year.

Rung 1 · Day one

A practice, a clinic group, a med spa, a dental or orthodontic office

See who visited the pricing page, and pull the first neighborhood list.

The Website ID tag on the public site shows, by the next morning, the households that read the pricing, procedures and locations pages, with their fields. Pull a US Consumer Data segment of households within a drive of each location, aged and filtered the way your best patients look, and use it for the first mailing.

Install the Website ID tag on the public pages only; nothing behind a patient portal.
Read the first week: which procedure pages draw which neighborhoods and age bands.
Pull one US Consumer Data segment per location: distance, age band, homeowner, new mover.

Website ID US Consumer Data

Rung 2 · First month

A multi-location group, an urgent-care chain, an elective-care brand with a media budget

Build the patient audience from the graph and keep current patients out of it.

Ad Audiences builds the exact segment, distance, age, household, modeled income and the elective-care topics people research openly, and pushes it hashed to Meta, Google and CTV. Smart Exclusion takes a hashed list of current patients, exported from your own system, and excludes them everywhere. Direct Mail puts the top of the segment in the post, matched back to new-patient appointments by address.

Build the segment in Ad Audiences and read the match rate per platform before spending.
Hash and load the current-patient list into Smart Exclusion; it stays on your side until hashed, and expands to every identifier the graph knows.
Mail the best households through Direct Mail; match back responders by address, never by chart.

Ad Audiences Smart Exclusion Direct Mail

Rung 3 · First quarter

A hospital system's marketing team, a payer, a specialty group with a CRM

Give the marketing CRM the household view, and watch who is shopping this week.

Enrich appends household, mover, life-stage and modeled income fields to the marketing CRM's prospect and lead records, written back through Integrations. Pulse watches the lead list and the lapsed-patient marketing list for the service lines people research: orthopedics, bariatrics, fertility, Medicare plan changes. Alerts route to the service line that owns the lead.

Enrich prospects and leads in the marketing CRM with Enrich; keep clinical systems out of it.
Put the marketing lists on Pulse; weekly, who is in market for which service line.
Route through Integrations to the service-line marketer, the call center or the scheduling team.

Enrich Pulse B2B Data

Rung 4 · First year

A system or a national brand with an analyst and a warehouse

Model it: a propensity score per household, a feed built to your service lines.

Export identified Website ID visitors with their 400 fields, join them to new-patient outcomes in the marketing warehouse, and fit a regression per service line. Score new visitors daily by API, seed Ad Audiences with the top decile, and build a Custom Intent Feeds feed scoped to your procedures, your locations and the competitors patients compare you with.

Train per service line: distance, age band, mover status, income band and topic recency carry most of the signal.
Score daily by API or through the MCP server; refresh seeds and suppression on the same schedule.
Scope the Custom Intent Feeds feed to procedure names, your brand, the competing systems and your geography.

Custom Intent Feeds Website ID Ad Audiences Enrich

Rung 5 · At scale

A health system, a national payer, a pharma or device company

License the graph, match in a clean room, measure every service line on one key.

Enterprise delivers the graph on a schedule to the marketing warehouse, resolves identities across hospitals, clinics and brands, and runs matching in the Clean Room so patient-side data never leaves your control. Audiences stream to The Trade Desk integration and other DSPs for CTV; payers run plan-enrollment campaigns on modeled eligibility windows; device and pharma teams target providers through the business graph. Every channel is measured against the same resolved household.

Proof of concept on a hashed marketing file first: match rate and coverage, reported.
Scheduled warehouse delivery; the person key joins facilities, brands and channels.
Clean-room matching for anything patient-adjacent; CTV and programmatic through the DSP integrations.

Enterprise Custom Intent Feeds Ad Audiences Smart Exclusion

What healthcare teams use it for

What providers, payers and life-science teams run on the graph.

Elective-care patient acquisition

Distance, age band, income band and open research on the procedure, hashed to Meta, Google and CTV.

Ad Audiences Smart Exclusion

New-mover outreach

Households that just moved into a service area, in the mail the week they arrive, by carrier route.

US Consumer Data Direct Mail

Medicare plan enrollment

Age-based households in the plan's counties during enrollment windows, with CMS marketing rules applied by your compliance team.

US Consumer Data Ad Audiences

Service-line intent on existing leads

Which marketing-CRM leads are researching orthopedics, bariatrics or fertility this week.

Pulse Enrich

Referring-provider targeting

Every practice in the region with the administrators and physicians inside, phones validated, for liaison teams and device reps.

B2B Data Chrome extension

Who read the pricing page

Households on the site last night, with their fields, routed to the location that serves them.

Website ID

Current-patient suppression

A hashed export of current patients excluded on every platform and from every mail drop, refreshed as the list changes.

Smart Exclusion Direct Mail

Competitor-system feeds

Households researching the competing hospital or practice by name, delivered daily to the app, the API or S3.

Custom Intent Feeds

Visitor-to-consult modeling

A regression on identified visitors and bookings, scored daily, feeding seeds and suppression.

Website ID Enrich Ad Audiences

Pharma and device HCP marketing

Practices and groups by specialty and size, with purchasing and clinical leaders, for field and digital teams.

B2B Data Enterprise

Clean-room measurement

Campaign lift by service line and channel, matched without moving patient data.

Enterprise

Agencies serving healthcare brands

Every product under your agency's brand, one sub-account per practice or system.

Agency DaaS

Use it right

No PHI in, no diagnosis out.

What applies when the buyer is a provider, a payer or a life-science company. Your privacy officer decides; this is how the data behaves.

No clinical data. The graph holds no diagnoses, prescriptions, claims or visit records and never infers a condition. Audiences are built on demographics, household, life stage and open research intent.
HIPAA stays with you. DataMoon is not a business associate and does not receive PHI. Patient lists used for suppression or matching are hashed on your side or matched in the clean room; the marketing CRM, not the EHR, is what gets enriched.
Platform health rules. Meta, Google and the DSPs restrict health-related targeting and personalization. The audience carries no health fields; the rep walks through what each platform accepts for the campaign.
Calling and texting. Phones carry do-not-call flags and line types. TCPA consent for texts and autodialed calls is yours to obtain.
Opt-outs honored. People who opt out through datamoon.com are removed from every product and from your pulled records on the next refresh.

Questions

Questions a healthcare marketer asks first.

Is there any health data in the graph?

No. Demographics, household, property, finance, vehicle, affinity, business and research intent on open topics. Nothing clinical, nothing inferred about a condition.

Can we load our patient list for suppression?

Yes, hashed. Hash the identifiers on your side or match in the clean room; the list expands to every email, phone and device the graph knows and is excluded on every platform and from every mail drop.

Will the pixel see anything behind our patient portal?

No. The tag goes on public pages only (services, locations, pricing, providers). It is never placed on authenticated pages.

How does intent work for a procedure?

People research procedures openly. The graph scores 65K topics daily, including elective procedures, insurance enrollment and senior care, and a Custom Intent Feed can be scoped to your procedures and competitors by name.

What does an enterprise engagement look like?

A proof of concept on a hashed marketing file, then scheduled delivery of the graph to your warehouse, identity resolution across facilities, and clean-room matching for anything patient-adjacent, on an annual contract.

Other industries

The same graph, a different ladder.

Insurance Fitness & Wellness Nonprofits & Political Marketing Agencies All industries

Book a free demo

Bring a location and a service line. We build the audience live, with current patients kept out.

Thirty minutes with a person who knows healthcare marketing rules: the tag on your public site, one patient-acquisition segment counted with its match rate, and the next rung written down.

Book a free demo See how it works

Thirty minutes, live on your own data. A person who knows the products and this industry runs the call. By continuing you accept the DataMoon terms.