Target intelligence for healthcare sales and BD

Know your territory better than your competitors.

Ask a plain question. RepVector's AI reads it, selects the right datasets from 70 public sources, pulls them live, and builds the ranked list of every referral source, facility, and prescriber in the market — with a stated reason for every name and a citation behind every number. Export it to your CRM and go.

RepVector doesn't track calls. It tells you which calls should exist.

Ask it like this

Every psychiatrist and PCP within 40 miles of our Tampa facility.

NPPES · 2026Q2 · 1,847 rows · conf 94CMS physician utilization · 2023 · conf 88MA penetration · 2026-06 · conf 96

01

Ask

Type your question in plain language. Name a product, a market, a county — no query syntax, no source picking.

02

AI selects

RepVector's AI reads the intent and chooses the right datasets from 70 public sources for that question, not a fixed template.

03

It builds the list

Sources are pulled live, normalized, and ranked — each name carrying a reason and a citation. The data is real; the AI does the assembly, not the invention.

The problem nobody names

Your CRM has a numerator. It has no denominator.

You can see how many calls your reps logged last quarter. You cannot see what percentage of the addressable market that represents — because no one has ever assembled the full list. So “good quarter” and “bad quarter” are judgments, not measurements. RepVector builds the denominator: every target that exists in a market, ranked, with the reason it's on the list.

What the CRM knows

312 calls logged in Q2

What nobody knew

1,847 targets exist in the county

What that makes Q2

17% of the market, measured

Illustrative figures. In a live run every number carries its own source chip.

The new-market hire

You hired someone in a market you can't see. Now what?

When you put a BD hire into a new territory, you're betting their rolodex is real. You'll find out in nine months. RepVector shortens that to week one: hand them the complete target universe for their county — ranked by volume, with a stated reason for each name — and the conversation shifts from “how's it going?” to “walk me through this list.”

  • Every psychiatrist, PCP, IOP/PHP, hospital, and facility in the geography
  • Ranked by the published volume signals that predict referral potential
  • A one-line reason per target, traceable to the source row
  • Exports to CSV or JSON — drops into whatever CRM you already run

Where the names come from

70 data sources. Every name has a receipt.

Sixty-eight registered sources, 54 of them live with no key required. Four questions decide which ones a query actually pulls.

Who's there?

NPPES 2026Q2

NPPES provider registry, CMS enrollment, Provider of Services, SAMHSA facility locator

Who does the volume?

CMS utilization

Physician utilization by provider and service, Part B, Part D prescribers, inpatient DRG discharges

Who pays in this market?

MA penetration · monthly

Medicare Advantage penetration by county, Medicaid enrollment, Medicaid state drug utilization

How healthy is the market?

HCRIS · CDC PLACES

HCRIS hospital cost reports, CDC PLACES, HRSA shortage areas, CDC mortality

Show your work

Confidence isn't a badge. It's a reason.

Every source segment scores 0–100, and every score opens an Explain panel — what was used (rows, geography, vintage, live versus retained, the exact query) and exactly why points were deducted. If a source only publishes statewide, RepVector widens the query and labels it. It never fails silently and never fills a gap with a guess.

Widened geography
Coarser grain than the decision unit
Older vintage
Suppressed values
Restated units
Stale capture
Thin rows
Upstream failure

Numbers that add up — literally

HCRIS, MA penetration, physician utilization, and Medicaid SDUD are restated into the same canonical KPIs, with ratios recomputed from summed numerators and denominators — never an average of averages. Units switch between dollars, thousands and millions, or percent, per 1,000 and per 100,000, and each metric is badged for whether the switch recomputes or merely rescales. Where two sources can be compared but not added, the dashboard says so.

Take it with you

Every widget exports to CSV or JSON with a header carrying the query, exact parameters, geography, vintage, capture time, selection reason, publisher notes, and citation URL. Plus an on-demand PDF build report. Built to hand off — to a rep, a CRM, or an IC memo.

HCRIS · FY2024 · 312 facility rows · conf 91

What RepVector is not

Not a CRM.

No call logging, no pipeline stages, no activity tracking.

Where we stop

Not claims data.

No commercial rate intelligence, no patient referral graph. That's the $50K vendors.

Honest comparison

Not a guess.

Where the data is silent, RepVector says so — by source name and geography.

The guardrail

Questions

Referral generation and business development, answered

What is healthcare referral generation?
Healthcare referral generation is the work of finding, ranking and calling the clinicians, facilities and payers who can send you patients or buy your product. RepVector builds that target universe from public federal datasets — every provider, facility and prescriber in the market, ranked, with a reason attached to each name.
How does RepVector help physician referral marketing and business development teams?
You describe the product, buyer and market in plain English. RepVector selects the relevant public datasets, resolves the geography down to county and FIPS, pulls live rows, and returns a ranked call list with volumes, payer mix and a citation behind every number. Export it to the CRM you already run.
Which data sources are used?
NPPES provider registry, CMS enrollment and Provider of Services, physician utilization by provider and service, Part B and Part D prescribers, Medicare Advantage penetration, Medicaid state drug utilization, HCRIS hospital cost reports, SAMHSA facility locator, HRSA shortage areas, and CDC PLACES — among 70 public datasets in the catalog.
Is RepVector a CRM?
No. There is no call logging, no pipeline stage and no activity tracking. RepVector builds the ranked target list and hands it off clean to your CRM.
How is this different from a claims data vendor?
Claims vendors win on referral graphs and commercial rates and cost tens of thousands a year. RepVector is self-serve, priced per seat with pooled runs, sources only public data with a citation per figure, and requires no annual contract.

Three runs free. No card, no call, no annual contract.

Pick one county you already know well and check the list against what's in your head. That's the only evaluation that matters.