Data & Methodology

Compliant, transparent,
verifiable audience data

Squyr builds patient audience intelligence on a foundation of consented Rx data, HIPAA-compliant infrastructure, and transparent methodology documentation — available for audit by any brand partner.

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Data Sources

Layered data architecture
for precision patient targeting

T3 · Condition-Confirmed Inquiries
15.3M+ patient records sourced from a decade of unbranded condition campaigns. Each record represents a real person who completed a condition-specific intake — landing page form fill, click-to-call inbound, or live transfer. Self-identified. Consented. Asked for information.
T2 · Dx-Qualified Records
218,071 patients clinically qualified for therapy but blocked on logistics — insurance authorization, documentation, or coverage gaps. The audience access programs are built for.
T1 · Tx-Verified Records
140,216 patients with verified treatment on file. 1,008,348 Rx fulfillment events. Multi-year supply cadence per patient. Average 7.2 fills on record.
HCP Layer · Verified Prescribers
166,464 prescriber NPIs linked to confirmed patient volume. Warm prescribers attached to real patient panels — not cold specialty codes.
Cardiac Cohort · Device-Derived
433,128 patients in a separate device-derived cohort. Standalone clinical callout for cardiac-specific activations.
Standalone Campaign Tiers
Polypharmacy (~5.84M), Medicare Advantage (1.16M), and GLP-1 (19,470) — built for specific condition campaigns, available independently or as enrichment within a broader license.

Cross-Tier Conversion Proof

The proof T3 converts:
386,000+ cross-tier matches.

The T3 inquiry layer isn't a lead list. It's the top of a funnel that flows into verified treatment. The conversion proof is on file:

T3 → T1 Direct Conversions
73,536 T3 inquiries with a confirmed T1 (Tx-verified) match on file. People who self-identified on an unbranded condition intake and later showed up with a verified prescription fulfillment record.
Total Cross-Tier Phone Matches
386,000+ phone-hash matches across T3, T1, and T2 — the full identity graph showing inquiry-to-treatment flow at scale across a decade of operational data.

Conversion proof is the answer to "is T3 just a lead list?" It isn't. It's the operational top of a funnel that produced over a million verified Rx events.

Data Quality & Compliance

Every record is first-party,
consent-based, and de-identified per HIPAA Safe Harbor.

The dataset is not a model, not a list purchase, not a probabilistic append. It's the operational output of a decade of condition-specific patient acquisition campaigns. Built operationally. Refreshed continuously. Exclusive for 20 years.

First-Party
Every record originated from a real patient who self-identified on an unbranded condition campaign.
Consent-Based
Consent captured at the moment of intake — condition-specific landing page form, click-to-call, or live transfer line. Scope, duration, and opt-out all tracked per record.
HIPAA Safe Harbor
De-identified per HIPAA Safe Harbor methodology. No PII retained. No individual re-identification possible.
Exclusive
20-year exclusive license (2026–2046). No competitor can access the same dataset.

The Squyr Protocol

The identity layer that makes
everything else possible.

Squyr bilateral encryption protocol — enabling data partnerships without any PII transit, without vendor middleware fees, without any party losing control of their data.

01
Brand
Local Hashing
Brand hashes their first-party patient identifiers locally. No PHI leaves the brand environment.
02
Squyr Network
Bilateral Exchange
Hashes exchanged bilaterally via Squyr's encrypted protocol. Both parties sign and verify. Identity graph matched in <90 seconds.
03
Squyr
Overlap Computed
Matched cohort size and identifier references shared. No underlying PII exchanged. Audit trail generated.
04
Both Parties
Data Used
Both parties use their respective matched identifiers in their own environments. No data leaves either environment.
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