Audience development
Evaluate recency-qualified cohorts for audience modeling and acquisition, subject to matchability and permitted-use review.
The data · From inquiry to fulfillment
Different depths. Different signals.
An inquiry tells you someone raised their hand. Intake adds context. Fulfillment adds an observed outcome. Summit keeps those signals distinct.
The funnel
From a raised hand to a delivered supply.
03 · Breadth
Inquiry records
~15M
02 · Intent
Qualified-intake records
218,071
01 · Outcomes
Fulfillment-linked patients
140,216
Inquiry recordsHistorical inquiries generated through diabetic and sleep-apnea supply marketing. Self-reported condition interest is not the same as a clinically verified diagnosis.
Qualified-intake recordsThe reported Tier 2 cohort adds qualification and intake detail beyond an initial inquiry. Inclusion criteria and reporting periods are reviewed during diligence.
Fulfillment-linked patientsThe reported Tier 1 cohort links patient engagement to supply fulfillment. Medical-benefit fulfillment offers a different perspective from pharmacy-benefit claims.
Reported source-file counts describe different layers, not a deduplicated total of unique people. Cohort definitions, date ranges, and overlap are reviewed before a licensing scope is finalized.
What a record contains
See the fields before the file.
An illustrative fulfillment-linked record. Values are fictional; partners receive tokenized, purpose-scoped fields agreed in the license—never raw identities.
Sample record · Tier 01Illustrative
- Patient token
- tk_8f3a…c21e
- Condition interest
- Type 2 diabetes (self-reported)
- Inquiry date
- 2024-03
- Intake qualified
- Yes · 2024-03
- Fulfillment
- CGM supplies · medical benefit
- Refill cadence
- Every 90 days
- Prescriber NPI
- Tokenized · observed
- Region
- Southeast · US
The differentiator
The journey beyond the lead.
- Sourced from mail-order diabetic and CPAP supply operations—not modeled from browsing.
- ~1M medical-benefit fulfillment events: a view pharmacy-benefit claims don't capture.
- Observed prescriber identifiers as a research signal, not a targeting guarantee.
- Historical volume isn't current reach—every cohort gets a recency and matchability check.
Potential applications · Subject to validation
Start with the question.
Independent validation
Use a blind overlap study to examine audience alignment. Compare results by cohort, time period, and identifier quality—not one headline match rate.
Patient-journey research
Explore where inquiries progress to intake and fulfillment, and where they do not. Non-conversion alone does not establish the reason a patient stopped.
Prescriber & access insight
Assess observed prescriber identifiers and medical-benefit fulfillment patterns for appropriately scoped research.
Start with a defined use case
Let’s scope the first license.
Tell us the condition, audience, and objective. We’ll determine fit and next steps.
info@summitaudiencesegments.com