Rehinged starts with a substantial healthcare intelligence layer already structured, with proprietary scoring models matched to specific products, services and commercial questions. That is the starting layer — not the boundary. When your market requires other U.S. data, we enrich it and build the model around what you sell.
Rehinged maintains these healthcare organizations and prescribers before a client arrives. Proprietary models already score many commercial questions across them. When a question requires evidence outside this layer, we enrich the U.S. market required for that model.
| Skilled nursing facilities | 15,000+ |
| Home health agencies | 11,000+ |
| Hospice providers | 7,000+ |
| Assisted living communities | 40,000+ |
| Long-term acute care hospitals | 300+ |
| Inpatient rehabilitation facilities | 1,000+ |
| Dialysis facilities | 7,000+ |
The prescriber layer supports models built from:
Freshness note: prescriber utilization is retrospective CMS evidence, not a claim about what a physician prescribed last month. Source dates stay attached to the intelligence. How We Know →
This is what Rehinged knows before you ask.
The same provider can be an exceptional target for one product and a poor target for another.
There is no universal best target. There is only fit for what you sell.
The market universe and the ICP are different things. When the buyer, product or evidence set falls outside the current starting layer, Rehinged enriches the relevant U.S. market evidence first — then determines which characteristics make those organizations commercially attractive for the specific client, and builds the ICP and scoring logic around that question.
A staffing-consulting ICP was built across the national SNF universe around a different evidence set than any product model uses. The model surfaced the facilities where staffing pain and regulatory pressure converged.
31,280 med spas in the addressable universe. The client-specific model used a different evidence set entirely. The model changed because the product and the buyer changed.
The client came in with three proposed buyer segments. Rehinged challenged the hypotheses, separated buyers from referral sources, rated conversion risk, and scored real organizations — plus an additional micro-segment worth testing that the client had not considered.
The job is not to force every client into a prebuilt segment. The job is to build the evidence model that best explains who should buy — and why.
Tell us what you sell. We build your Market Draft — the first read on your market — free, inside a real Rehinged Intelligence account.
See your market Want the method first? How We Know →