Healthcare native intelligence

Healthcare Decision IntelligenceBuilt For Timing & Relevance.

See who is deciding, what they care about, and when to engage, across the U.S. healthcare ecosystem.

6B+ signals 6 layers 30 distinct stakeholder entity types

As used by teams selling into IDNs, ASCs, health systems, MedTech, Health IT and PE backed platforms.

6B+ signals 30 distinct stakeholder entity types mapped Real time, not quarterly
The gap

What Happened Is Already Too Late.

Comparison shoppers do not need more education. They need to see why static healthcare data, claims history and generic contact lists fail at timing.

01

Static data ages fast.

Claims and firmographics are weeks to quarters old. By the time you act, the budget's allocated and the decision's made.

02

Contacts ≠ context.

A name and title doesn't tell you who influences the purchase, what they care about, or whether they're in market right now.

03

No timing signal.

Volume forecasts and historical benchmarks can't tell you which account is moving this week. You're guessing at the when.

The shift

From Data Lists → Decision Intelligence

Use a scroll stack to make the category shift clear: old tools show records; Intent.Health shows decisions, influence and timing.

Old way vs Intent.Health

Stop buying lists. Start seeing decisions.

The visual structure keeps the message minimal while making the contrast impossible to miss.

The old way

  • Static claims and firmographic snapshots
  • Flat contact lists
  • What happened last quarter
  • Generic B2B coverage

The Intent.Health way

  • Real time intent signals plus live ecosystem
  • Decision maker and influencer separation
  • What's happening now and what is about to
  • Purpose built for US healthcare complexity
“Stop buying lists. Start seeing decisions.”
Clarity layer

Clear decisions, not more software copy.

Every section reduces one objection: freshness, relevance, healthcare specificity, proof and conversion risk.

Priority layer

Propensity scoring ranks who is ready now.

Use the visual score and ranked rows to show that sales and ABM teams do not chase every account equally.

92
Volume + RecencyHigh
Signal DepthStrong
Org DensityBuying group
Peer BenchmarkingMoving
Head to head

Intent.Health vs Legacy Data Tools

Legacy tools tell you what already happened. Intent.Health adds the missing dimension: who is deciding, what they care about, and when to engage.

Capability Legacy data tools Intent.Health
US healthcare ecosystem mappingPartial / firmographic Full 6 layer structural model
Real time intent signals Mostly static 6B+ signals, live
Decision maker vs clinical influencer separation Flat contact lists Executive + HCP intelligence
Propensity / readiness scoring or basic Volume, recency, momentum, peer benchmarking
Intent classification Limited Problem, Solution, Category, Brand
Org ownership and hierarchyPartial IDN → hospital → ASC relationships
Built specifically for US healthcareVaries Healthcare native
Tells you when to engage Not the core Timing is the core

See the difference on your target accounts, not a generic sample dataset.

How it works

How Intent.Health Sees What Others Can't

A two-panel interaction keeps the mechanism simple: map the ecosystem, read the signals, score readiness.

6 layers. 30 distinct stakeholder entity types. One decision map.

See how money, ownership, clinical influence and care delivery connect across the entire US healthcare ecosystem.

Payers / MCOsCapital + risk
IDNsDecision layer
GPOsContract flow
HospitalsAcute care
ASCsAmbulatory
Virtual CareEmerging demand

Live signal feed, classified by journey stage.

Separate problem research from solution interest, category intent and brand level movement.

P
Problem intentWorkflow bottleneck research
78%
S
Solution intentAutomation comparison
86%
B
Brand intentVendor evaluation activity
91%

Prioritize with math, not gut.

The result is a ranked view of who to engage, what to say and when to act.

92
Target Account AMove now
Target Account BWarm
Target Account CNurture
Target Account DWatch
Core capabilities

Five Ways Intent.Health Feels Different

Use a clean horizontal carousel so every capability gets focus without making the page heavy.

Outcomes by role

Built for Every Healthcare GTM Team

Role cards create self identification and prefill the form for cleaner attribution.

S

Sales

Walk into IDN, ASC and health system accounts knowing who decides and when they're ready.

M

Marketing / ABM

Build account lists ranked by real intent, not firmographics. Target in market accounts only.

R

Recruitment

Find and reach the right clinicians and executives across every care environment.

P

PE / MSO / Strategy

Map ownership, spot acquisition and partnership targets, and read momentum in real time.

6B+intent signals processed
6ecosystem layers
30distinct stakeholder entity types
Livereal time updates
Objection handling

Questions Before Booking

Data lists show records and contacts. Intent.Health shows the decision environment: ecosystem structure, decision makers, HCP influence, live intent and account readiness.

Yes. The model is built around US healthcare's 6-layer complexity and 30 distinct stakeholder entity types, including IDNs, GPOs, ACOs, ASCs, payers, hospitals, SNFs and virtual care.

The positioning is real time signal processing, not quarterly snapshots. The demo should show live movement and readiness on your target account universe.

Readiness uses weighted signal categories including volume, recency, signal depth, momentum, organizational density and peer benchmarking.

Yes. Intent.Health enables Executive Intelligence and HCP Intel in addition to Org Intel across the 30 distinct stakeholder entity types.

Stop Chasing Lists. Start Seeing Decisions.

Get a live walkthrough of Intent.Health on your real target accounts, who's deciding, what they care about, and when to engage.

Get My Intelligence Demo