Four precision healthcare audience tiers — each engineered to reach patients and prospects at a different stage of the health journey, with the right signals, at the right scale, with full compliance built in.
Active Patients is Summit's highest-intent audience segment — individuals currently engaged in ongoing treatment, actively managing a diagnosed condition, and generating live healthcare touchpoints across clinical, pharmacy, and digital channels. This is the most commercially valuable tier in healthcare marketing.
These audiences are built from a convergence of signals: prescription fill history, refill patterns, clinical encounter records, patient portal activity, specialty referral data, and real-time IoMT device outputs. The result is an audience segment that reflects not historical behavior but present-tense patient status — individuals who are actively in the healthcare system right now.
For pharma brands running direct-to-consumer campaigns, for hospital systems competing for patient volume, and for specialty care providers targeting specific diagnostic cohorts, Active Patients delivers the precision required to move the needle on acquisition metrics. Campaigns using this tier consistently outperform standard healthcare audience data by a significant margin on CPL, engagement rate, and qualified appointment volume.
Qualified Patients captures individuals who have been formally diagnosed with a target condition and have a documented prescription or treatment history — but whose current engagement status may have lapsed, shifted, or represents an opportunity for therapy switch or re-engagement. This is the critical second tier for brands seeking verified clinical qualification at scale.
The distinction between Active Patients and Qualified Patients is precision of timing. Where Active Patients signals live, in-treatment status, Qualified Patients draws from the broader universe of clinically verified individuals whose diagnosis codes and prescription records confirm eligibility and relevance — regardless of recency. This enables marketers to cast a wider, but still highly qualified, net across the addressable patient population.
Condition targeting within this tier is built on ICD-10 diagnosis code mapping, prescription signal triangulation, and specialist encounter history. For chronic condition categories — diabetes, hypertension, COPD, MS, rheumatoid arthritis, depression — Qualified Patients delivers cohort depths that would be impossible to achieve through behavioral or demographic proxies alone. Every individual in this segment has left a verifiable clinical footprint confirming their condition status.
Engaged Prospects represents Summit's pre-diagnosis, high-intent tier — individuals who are actively researching symptoms, reading condition-specific content, engaging with HCP-authored health articles, and exhibiting the digital behavioral patterns that precede a formal clinical interaction. These are future patients, identifiable today.
The clinical importance of reaching patients before diagnosis is immense. Condition awareness campaigns, early intervention programs, and treatment pipeline development all depend on identifying individuals who are on a path toward diagnosis — before they enter a provider's office. Engaged Prospects makes this possible by synthesizing behavioral signals from across the open web, health content platforms, HCP-facing digital publications, and patient community engagement data.
Unlike traditional behavioral health audiences built from basic intent keywords, Engaged Prospects uses layered signal weighting — combining symptom search behavior, condition-specific content consumption duration, HCP directory lookups, telehealth platform activity, and insurance benefit research — to generate a pre-diagnostic confidence score for each individual in the cohort. The result is a prospect segment with demonstrably higher conversion rates than any symptom or interest-based behavioral audience.
Lookalike Audiences is Summit's AI-powered expansion tier — using your highest-value patient or customer seed data to mathematically model and discover new individuals who share the same clinical, behavioral, genomic, and demographic characteristics. When you have a proven converter, Summit builds you an audience of people who look exactly like them, at whatever scale your campaign requires.
Summit's lookalike modeling goes far beyond the demographic and behavioral proxies used by traditional platforms. Our models ingest seed audiences and cross-reference them against 40 exabytes of healthcare data — identifying clinical pattern signatures, prescription behavior clusters, IoMT signal profiles, and genomic risk markers that correlate with the seed population. The output is an expansion audience with a substantially higher signal-to-noise ratio than any platform-native lookalike product.
The methodology is iterative. As campaign performance data flows back into the model, Summit's AI continuously re-weights the signal factors that predict conversion — improving model accuracy over time and progressively narrowing the gap between lookalike performance and seed audience performance. This closed-loop learning architecture makes Summit Lookalike Audiences a compounding asset, not a static deliverable.
Summit's audience construction process is designed from first principles around three non-negotiable requirements: signal depth, compliance integrity, and activation speed. Every audience we deliver has passed through all three stages.
We aggregate data from across the healthcare ecosystem — EHR systems, pharmacy networks, payer claims databases, IoMT device platforms, genomic sequencing providers, and health content publishers. Before any data enters our audience-building pipeline, it is processed through our de-identification framework, which applies HIPAA Safe Harbor and Expert Determination methods to strip all PHI while preserving clinical signal fidelity. This is not a post-processing step — it is the foundation of our data architecture. The 40 exabytes of healthcare data we draw from is the largest de-identified clinical signal universe in the market, spanning 5,426+ data center nodes globally.
Once de-identified, signals are weighted and scored by our proprietary AI modeling layer. Clinical signals (diagnosis codes, prescription history, specialist encounters) are assigned primary weight, while behavioral and genomic signals serve as amplifiers and validators. For each target condition or audience use case, our models generate a propensity score for every individual in the matched universe — indicating their likelihood of falling into the target cohort at the required confidence level. This is what separates Summit from data brokers: we do not slice and dice demographic files. We model clinical reality from the ground up, using the same signal types that clinicians use to diagnose and treat patients.
Audiences that meet our minimum confidence threshold are packaged for programmatic activation. We deliver via industry-standard match keys — hashed email, MAIDs, connected TV IDs, or custom identity graphs — formatted for direct ingestion by all major DSPs, social platforms, CTV providers, and clean room environments. Delivery typically occurs within 24–72 hours of brief submission. For ongoing campaigns, Summit offers continuous audience refresh on configurable cycles, ensuring that your active patient and prospect segments reflect current clinical status, not a static historical snapshot. Every segment delivery includes a quality report with signal composition breakdown, confidence score distribution, and estimated reach by channel.
In healthcare data, compliance is not a differentiator — it is the minimum bar for operating. Summit meets and exceeds every applicable regulatory requirement, and we hold ourselves to a higher internal standard than what any regulation demands.
Schedule a personalized demo and see how our four audience tiers can transform your healthcare marketing performance from day one.