T3
10,305,182
Diabetes Intent Universe
How it’s built
Tier 3 records whose primary condition is diabetes.
The widest diabetes pool in the file — every diabetes inquiry across ten years of funnels.
Diabetes
Request this segment Audience explorer · Aggregate counts only
Find the cohort before the contract.
Segments built directly from the full lead universe — browsable by condition, tier and size, with the inclusion rule printed on every card. Counts are exact aggregates from the current export; every cohort is re-validated for recency and matchability before a license is written.
16.0M
de-identified lead records across ten years of intake
12.7M
unique people behind those records
28
rule-built segments, from broad condition pools to confirmed patients
October 2026
current export — refreshed as new data lands
Tier 1 · Fulfillment-confirmed — completed a full intake and received their supply or device.
Tier 2 · Qualified near-miss — completed a full intake but fulfillment didn't happen (refill too soon, prescriber declined, etc.).
Tier 3 · Engagement universe — showed condition intent through an inquiry — the widest pool.
28 segments
T3
9,643,464
Contactable Diabetes Intent
How it’s built
Diabetes Tier 3, excluding records that ended on a Do Not Call disposition.
The diabetes universe minus people who asked not to be called — the portion available for compliant outreach.
DiabetesContactable
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7,882,195
Diabetes + Sleep Apnea Intent
How it’s built
Tier 3 records matched to both diabetes and sleep-apnea (CPAP) programs.
The classic cardiometabolic comorbidity pair, matched across funnels.
DiabetesSleep apneaMulti-condition
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5,729,901
Polypharmacy Program Universe
How it’s built
All records in the polypharmacy (multi-medication) program.
People managing multiple medications — a managed-care and pharmacy-services audience.
PolypharmacyProgram
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4,322,840
Women with Diabetes Intent
How it’s built
Diabetes Tier 3 records where gender is female.
Supports women-focused diabetes, cardiometabolic and GLP-1 campaigns.
DiabetesWomen
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4,298,604
Men with Diabetes Intent
How it’s built
Diabetes Tier 3 records where gender is male.
The male half of the diabetes universe — useful for men's-health and cardiometabolic angles.
DiabetesMen
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4,161,889
Actively Worked Lists (3+ Call Attempts)
How it’s built
Records with three or more logged call attempts.
Shows how thoroughly the lists were worked — a diligence signal on data provenance, not a contact rate.
Engagement
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4,052,062
Diabetes Belt Intent
How it’s built
Diabetes Tier 3 records in the 13 high-prevalence Diabetes Belt states (AL, AR, FL, GA, KY, LA, MS, NC, OK, SC, TN, TX, WV).
Geographic concentration where diabetes prevalence and demand run highest.
DiabetesGeography
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2,635,117
Recent Diabetes Intent (2024+)
How it’s built
Diabetes Tier 3 records with a lead or last-activity date in 2024 or later.
The freshest third of the diabetes universe — best suited for near-term activation.
DiabetesRecent
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1,416,284
Senior Diabetes Intent (60+)
How it’s built
Diabetes Tier 3 records in age bands 60 and above.
Medicare-age diabetes intenders — the core audience for MA and DME-adjacent offers.
DiabetesSeniors
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1,176,091
Medicare Advantage Program Universe
How it’s built
All records in the Medicare Advantage programs.
Seniors engaging around Medicare Advantage — plan-switching and supplemental-benefit campaigns.
Medicare AdvantageProgram
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671,456
Confirmed Fulfillment (All)
How it’s built
Every Tier 1 record: full intake completed and supply shipped, or device on patient.
The ground-truth cohort against which every other tier is validated.
Multi-condition
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652,201
Prescriber-Linked Confirmed Patients
How it’s built
Tier 1 records carrying a prescribing physician's NPI.
Confirmed patients paired with their doctor — enables HCP-level targeting alongside patient cohorts.
PrescriberHCP
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407,270
Confirmed Women Patients
How it’s built
Tier 1 records where gender is female.
Confirmed women patients across supply and device programs.
Women
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352,488
Medicare-Flagged Universe
How it’s built
Tier 3 records where the Medicare flag is captured as yes.
Medicare-flagged intenders for MA and supplemental-benefit campaigns. Payer flags are captured on a subset of records — treat as a floor, not a total.
MedicarePayer
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291,161
Qualified Near-Miss (All)
How it’s built
Every Tier 2 record: full intake completed, fulfillment did not happen.
People who cleared qualification but stalled — refill timing, prescriber declines and similar frictions.
Multi-condition
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271,457
Qualified Near-Miss: Diabetes
How it’s built
Tier 2 records whose primary condition is diabetes.
Verified diabetes patients one step from fulfillment — the highest-intent non-converted pool.
Diabetes
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266,091
Insulin-Using Diabetes Intent
How it’s built
Tier 3 diabetes records where insulin use is captured as yes.
The higher-acuity slice of the diabetes universe — insulin users are the core audience for CGM, pump and advanced-therapy brands. Captured on a subset of records.
DiabetesInsulin
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223,323
Confirmed Patients 60+
How it’s built
Tier 1 records in age bands 60 and above.
Older confirmed patients — the demographic most plans and brands ask for first.
Seniors
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192,703
Medicaid-Flagged Universe
How it’s built
Tier 3 records where the Medicaid flag is captured as yes.
Medicaid-flagged intenders — relevant for managed-care and dual-eligible outreach. Captured on a subset of records.
MedicaidPayer
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165,999
Type 2 Diabetes (Type Confirmed)
How it’s built
Tier 3 records where diabetes type is explicitly captured as Type 2.
Where type is captured, Type 2 outnumbers Type 1 roughly 11 to 1 — consistent with a supplies-led diabetes population. Captured on a subset of records.
DiabetesType 2
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160,199
Diabetes Supply Confirmed
How it’s built
Tier 1 records with confirmed diabetic supply fulfillment.
Verified diabetes supply patients — the proven-converter core.
Diabetes
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112,112
High-Utilization Polypharmacy (6+ Medications)
How it’s built
Tier 3 records flagged as taking six or more medications.
The heaviest medication users inside the polypharmacy program — a managed-care and adherence-services priority audience. Captured on a subset of records.
PolypharmacyHigh-utilization
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46,122
Confirmed Medicare Payer
How it’s built
Tier 1 records with Medicare or Medicare Advantage as the recorded payer.
Confirmed patients where payer is known to be Medicare — clean fit for MA and supplemental offers.
Medicare
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35,119
Qualified Near-Miss: Documentation
How it’s built
Tier 2 records that stalled on missing or invalid documents.
Qualified patients lost to paperwork — the most recoverable failure mode in the file.
Multi-conditionFailure reason
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26,993
Qualified Near-Miss: Patient Cancelled
How it’s built
Tier 2 records where the patient cancelled after qualifying.
Verified patients who walked away post-qualification — a re-engagement audience with known intent.
Multi-conditionFailure reason
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21,697
Qualified Near-Miss: Insurance Barriers
How it’s built
Tier 2 records lost to authorization denials or unserviceable insurance.
Qualified patients blocked by coverage, not by clinical fit — a natural audience for alternative-coverage and cash-pay offers.
Multi-conditionFailure reasonPayer
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19,255
GLP-1 Fulfillment Cohort
How it’s built
Patients with an active GLP-1 prescription fulfilled through a third-party pharmacy program — a standalone cohort, counted separately from the legacy lead universe.
A fast-growing weight-loss cohort on an active fulfillment channel, refreshed continuously; kept separate so its counts never overlap the 16.0M universe.
GLP-1ProgramRecent
Request this segment Counts are exact aggregates from the October 2026 export. Segments under 1,000 records are withheld until they reach a licensable size. Final cohort sizes are confirmed during scoping.
These cohorts were built over ten years of intake across many publishers, partners and lead funnels — not one survey. Conditions are confirmed where a funnel captured them, so a multi-condition segment is a set of matched records, not a full census of everyone with those conditions, and a record in a single-condition segment may have additional conditions another funnel never asked about.
The prescriber layer
The doctors come with the data.
Confirmed supply records carry the prescribing physician’s NPI, so every patient cohort can be paired with the prescriber network behind it — for HCP targeting, KOL mapping or prescriber-level activation alongside a patient campaign.
194,004
distinct prescribers linked to confirmed patients
97%
of confirmed patients carry a prescriber NPI
9,576
prescribers spanning more than one condition program
41,306
high-volume prescribers with 5+ confirmed patients each
Enriched with public CMS Medicare prescribing data
74,485
linked prescribers matched to CMS Part D, with specialty
56,166
of them actively prescribe GLP-1 therapies
50,896
prescribe SGLT2 diabetes therapy
48,491
write most of their Part D claims through Medicare Advantage plans
Top specialties
- Family Practice 26,331
- Internal Medicine 20,051
- Nurse Practitioner 13,121
- Physician Assistant 4,488
- Endocrinology 3,327
- Pulmonary Disease 1,512
Deepest prescriber coverage
- TX 15,414 prescribers
- CA 13,397 prescribers
- NY 11,639 prescribers
- FL 11,416 prescribers
- PA 8,185 prescribers
- IL 8,125 prescribers
- OH 7,921 prescribers
- NC 7,801 prescribers
Specialty and prescribing flags come from the public CMS Medicare Part D Prescribers dataset (2024 data year), matched on NPI. They reflect Medicare prescribing only.
Geographic context
Where the conditions concentrate.
State-level context from public health and census sources — the same overlays used to build segments like Diabetes Belt Intent. Pick a measure to see the ten states where it runs highest.
AK
ME
VT
NH
WA
ID
MT
ND
MN
IL
WI
MI
NY
RI
MA
OR
NV
WY
SD
IA
IN
OH
PA
NJ
CT
CA
UT
CO
NE
MO
KY
WV
VA
MD
DE
AZ
NM
KS
AR
TN
NC
SC
DC
OK
LA
MS
AL
GA
HI
TX
FL
8.4%16%
Top 10 states · Diabetes prevalence
- 01WV16%
- 02MS15.8%
- 03LA15.4%
- 04AL14.9%
- 05SC14.2%
- 06TN13.8%
- 07AR13.5%
- 08FL13.5%
- 09OH13.4%
- 10NM13.3%
Population-weighted averages of ZIP-level public data (CDC PLACES, Census ACS). Shown for context only — segment geography is confirmed at scoping.
Start with a defined use case
See a segment worth testing?
Name the segment and the use case. We'll confirm current counts, check recency, and tell you what the cohort can support before anything is licensed.
info@summitaudiencesegments.com