Solutions - Consumer Audiences

Modeled

Balance high audience performance with rigorous data privacy

Performance

Achieve better campaign performance with consumer audiences that meet or exceed the highest quality standards in the industry.

Privacy optimized

Meet heightened legal and regulatory requirements for data privacy, and ensure responsible use of AI, with our novel patent-pending Federated Audience Modeling methodology.

Comprehensive data

Gain access to audiences built on consumer attributes that highly correlate to conditions of interest─safely and securely combined with IQVIA’s industry-leading health data.

Value

Maximize your campaign spend and minimize waste with more efficient, higher-performing consumer audiences.

Rapid turnaround

React quickly to campaign and market needs with faster audience builds.

Wide distribution network

Activate audiences across hundreds of destinations using our Media Operating System, or through our Activation Network of trusted partners.

Versatility

Reach viable audiences, at scale, across omnichannel strategies and conditions including broad chronic illnesses, niche rare diseases, and specialties like oncology.

Transparency

Replace guesswork about “black box” approaches to consumer audience creation with clear disclosures on our data stewardship and audience methodology.

Behavioral

Motivated consumer audiences built on proprietary health intent data

Ensure timely communication with behavioral feedback, daily refreshed
Match audiences based on their research and reading behavior to your brand's communication goals across the consumer journey
Access consumer cohorts curated non-identified, yet highly relevant researchers actively reading about specific topics within a disease category
Built using data minimization best practices to reduce privacy concerns

Predictive

Using AI/ML to predict future events and outcomes along the patient journey

Build audiences with predictive analytics based on a wealth of signals from more than 150 longitudinal data streams that indicate high probability segments for future outcomes
Predictive scenarios can include consumers likely to receive a future diagnosis, switch or not adhere to treatment, or face access or product use challenges

Female specialist explaining diagnosis to her patient

Behavioral

Motivated consumer audiences built on proprietary health intent and research data

Audiences consist of highly relevant consumers who are reading about specific topics within a disease category
Consumer cohorts are curated on non-identified researchers actively seeking health information
No collection of PII, minimizing privacy concerns
Audiences are updated daily

Predictive

Using AI/ML to predict future events and outcomes along the patient journey

Build audiences with predictive analytics based on a wealth of signals that indicate high probability targets for future outcomes
Predictive scenarios include consumers likely to receive a future diagnosis, switch or not adhere to treatment, or face access or product use challenges
Apply proprietary IQVIA Digital models created from 150+ longitudinal data streams to create consumer audiences for future events and for conditions with small diagnosed patient populations