Swoop DTC Marketing Solutions

Empower patients to become active participants in their treatment journey.

 

Exclusive, Privacy-Safe Patient Audiences That Are Higher in Quality and Drive Rx Lift

For too long, life sciences companies have been constrained by the marketplace’s antiquated thinking, processes and systems that produce broad, generic one-size-fits-all target segments that fail to consider a brand’s specific market definition and core therapeutic advantages.

 

SWOOP IS CHANGING ALL THIS…

Swoop Data Universe

 

Swoop Data Universe_mobile

 

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…So that life science companies can educate patients about disease states and the therapies that could effectively treat their conditions…
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…as well as enable them to become active participants in their medical journey.
 

RWD+ML+AI = Rx Lift

Swoop defines and uncovers exclusive audiences based on client-specific market definitions and performance criteria that fuel optimal cross-channel marketing strategies to engage the ideal patient with the ideal message through the ideal channel. The result? Greater performance over conventional targeting approaches.

 

Swoop Patient Audiences are Distinctive

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Exclusive

Audience segments are based on unique brand objectives and patient definitions.

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Higher Performing

Built to exceed established upfront performance and audience quality goals.

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No Upfront Costs

Segments are created in less than 30 days with no cost to customize or update.

 

Swoop Creates Value By:

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Creating Precision Audiences

By uncovering privacy-safe target segments of ideal patients that are higher in audience quality, drive superior conversion and lead to increased lift.

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Providing Exclusive Segments

Based on client-specific market definitions, strategies and goals, rather than off-the-shelf/one-size-fits-all approaches.

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Revealing Audience Quality Prior to Launch

So clients can spend more time optimizing cross channel marketing strategies.

 

Privacy-Safe

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Industry 1st

First consumer health data company to become a member of the NAI and have our own Privacy Board.

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100% NAI
As an engaged member, we assure 100% compliance with the NAI 2020 Code of Conduct Guidelines.
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All Conditions
Our segment-building methodology is approved for sensitive and non-sensitive conditions.
 

Predictive Power in Action

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Predictive Power in Action

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Swoop audience quality was 72% higher than the second-best performing partner.

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Privacy-Safe Target Segments of Ideal Patients

 

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The Swoop System of Engagement

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People

Our data scientists, analytics and delivery professionals are industry experts traditionally found in top tier-healthcare, consulting and marketing firms

 

Processes

Our proprietary data curation, signals detection, and audience building methods are grounded in the experience refined from creating over 3,000 custom segments

 

Technology

We deploy deep learning, artificial intelligence and evolutionary computation to transform noisy and unconnected real world data into privacy-safe audiences

 

Data

Our Real World Data Universe consists of 300M de-identified patients and 65B social determinants of health signals with a 10-year lookback, refreshed monthly

IDEAL PATIENT SEGMENTS
 

Uncover Patient Behaviors Through The Precision of AI and Social Determinants of Health Data (SDOH)

Traditional market segmentation starts with a relatively small number of demographic and lifestyle characteristics. Each consumer is then slotted into the best fitting descriptor.

 
The result is an artificially simplistic view of healthcare consumer groups that creates potential mismatches by forcing a “best fit.”
 

Incorporating SDOH data and activity-based intelligence increases patient audience granularity.

Round
 

Incorporating SDOH data and activity-based intelligence increases patient audience granularity.

Round
Psychometric Factors

Determine how healthcare consumer populations cluster by demographics, attitudes, values and beliefs.

Decision-Making Approaches

Uncover consumer approaches, critical factors and dependencies for healthcare decision making.

Media Consumption Patterns

Discover healthcare consumer preferences for Programmatic Advertising, Social Media Marketing, Digital Marketing, Addressable TV, Linear TV and On-Demand Audio message deployment.

Message Receptiveness

Understand how brand promises, messaging and "beyond the pill" factors are perceived by healthcare consumers.

Consumer Experience

Learn the uptake levels and behavioral effects of differentiated consumer healthcare messaging.

Marketing Mix

Determine the blend of cross-channel activation including Programmatic Advertising, Social Media Marketing, Website Personalization, Search Engine Optimization, Addressable TV, Linear TV and On-Demand Audio.

 
Psychometric Factors

Determine how healthcare consumer populations cluster by demographics, attitudes, values and beliefs.

Decision-Making Approaches

Uncover consumer approaches, critical factors and dependencies for healthcare decision making.

Media Consumption Patterns

Discover healthcare consumer preferences for Programmatic Advertising, Social Media Marketing, Digital Marketing, Addressable TV, Linear TV and On-Demand Audio message deployment.

Message Receptiveness

Understand how brand promises, messaging and "beyond the pill" factors are perceived by healthcare consumers.

Consumer Experience

Learn the uptake levels and behavioral effects of differentiated consumer healthcare messaging.

Marketing Mix

Determine the blend of cross-channel activation including Programmatic Advertising, Social Media Marketing, Website Personalization, Search Engine Optimization, Addressable TV, Linear TV and On-Demand Audio.

Our SDOH Data Universe

Eco Stab
Economic Stability

Employment, Working Conditions, Income, Expenses, Spending, Debt

Wellness
Wellness

Nutrition, Hunger, Access to Healthy Options, Activity Level

Environment
Environment

Location, Housing, Transportation, Safety, Recreation, Walkability

community
Community

Integration, Support, Engagement, Discrimination, Stress

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Education

Literacy, Education Level, Language, Vocational Training

HealthCare
Health Care

Availability, Accessibility, Coverage, Quality of Care

Demographics
Demographics

Citizenship, Gender, Ethnicity, Faith, Age, Marriage, Children

Influence
Influence

Social Media, Web, Digital, Television, Ratio

 

Our ML and AI-Based System of Engagement Provides High-Definition Patient Intelligence to Discover Cohorts of Patients Relevant to Your Brand

ML+AI+RWD = 65 billion anonymous consumer transactions and over 300 million unique de-identified patients

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Cluster Modeling

Considers all relevant pattern-of-life characteristics rather than a few pre-determined demographic traits.

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Dimensional Spatiality

Measures the distance from any point in a multi-dimensional space where population clusters form around an attribute.

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Commonality Extraction

By not using pre-determined categories, we uncover natural population clusters and then extract commonalities.

 

Download Our Case Studies and Publications

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