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.
See who is deciding, what they care about, and when to engage, across the U.S. healthcare ecosystem.
As used by teams selling into IDNs, ASCs, health systems, MedTech, Health IT and PE backed platforms.
Comparison shoppers do not need more education. They need to see why static healthcare data, claims history and generic contact lists fail at timing.
Claims and firmographics are weeks to quarters old. By the time you act, the budget's allocated and the decision's made.
A name and title doesn't tell you who influences the purchase, what they care about, or whether they're in market right now.
Volume forecasts and historical benchmarks can't tell you which account is moving this week. You're guessing at the when.
Use a scroll stack to make the category shift clear: old tools show records; Intent.Health shows decisions, influence and timing.
The visual structure keeps the message minimal while making the contrast impossible to miss.
Every section reduces one objection: freshness, relevance, healthcare specificity, proof and conversion risk.
Use the visual score and ranked rows to show that sales and ABM teams do not chase every account equally.
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 mapping | Partial / 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 hierarchy | Partial | ✓ IDN → hospital → ASC relationships |
| Built specifically for US healthcare | Varies | ✓ 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.
A two-panel interaction keeps the mechanism simple: map the ecosystem, read the signals, score readiness.
See how money, ownership, clinical influence and care delivery connect across the entire US healthcare ecosystem.
Separate problem research from solution interest, category intent and brand level movement.
The result is a ranked view of who to engage, what to say and when to act.
Use a clean horizontal carousel so every capability gets focus without making the page heavy.
See ownership and hierarchy across all 6 layers, the real org chart behind every account.
Identify executive buyers across stakeholder entities and separate them from clinical influencers.
Understand HCP influence across acute, ambulatory and post acute environments.
Organization and individual level intent classified by Problem, Solution, Category and Brand.
A ranked readiness score per account, so your team works the highest probability opportunities first.
Role cards create self identification and prefill the form for cleaner attribution.
Walk into IDN, ASC and health system accounts knowing who decides and when they're ready.
Build account lists ranked by real intent, not firmographics. Target in market accounts only.
Find and reach the right clinicians and executives across every care environment.
Map ownership, spot acquisition and partnership targets, and read momentum in real time.
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.
Get a live walkthrough of Intent.Health on your real target accounts, who's deciding, what they care about, and when to engage.