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Case Study | all-insights

Consumer Segmentation – Program Snapshot: Virtua Health

Professional presentation cover slide with a light blue background featuring a hexagonal network pattern. On the left, a circular image shows a hand holding a magnifying glass focusing on the words 'case study'. The title reads 'Consumer Segmentation in Practice' in large navy blue text, with the subtitle 'Operationalizing personalization across leading health systems' below in white text on a dark blue bar.

Virtua Health System Background & Program In-Brief

Virtua Health is an academic health system dedicated to enhancing lives and building communities of wellness through a comprehensive range of personalized health care services. They serve a diverse patient population across South Jersey and Philadelphia, a region where patients often access multiple health systems.

The combination of a highly competitive market and being a newer entrant meant that Virtua often lost patients to competitors for specialty care. Identifying a potential competitive advantage in its community-centric approach, it sought to develop consumer segments to tailor messaging to distinct patient populations. To meet this need for personalization, Virtua partnered with a national vendor that had developed a segmentation model. It then worked to apply and adapt the personas to its local context.

Virtua applies seven distinct behavioral segments across its complete patient database of nearly one million records. Segments are supported by insights from a research panel that validates the ongoing accuracy of the segments within its community and informs targeted engagement strategies.

Its approach includes modeling adjustments to ensure underrepresented patient populations receive appropriate outreach while maintaining resource efficiency across its diverse patient population.


Program Components

Behavioral segmentation
  • Behavioral segments that represent distinct healthcare engagement patterns with different messaging strategies and service offerings

  • Layered targeting combining health propensity with behavioral segments to ensure appropriate audience

  • Research methodology: 7 segment groups initially researched, developed, and named by Monigle, and then adjusted and applied to Virtua’s market

    • Voice-activated consumer research panel: 50,000+ participant panel for ongoing insights collection to better support strategy development

    • Research on new business opportunities, message/ad testing, patient experience, and operational improvement

Segment table
This table presents seven distinct patient segments based on healthcare engagement behaviors, showing their relative population sizes and recommended engagement strategies. The segments range from "Habitual Strugglers" (21%), who engage regularly but struggle with health system navigation, to "Positive Preventatives" (11%), who maintain good health with minimal active management. Each segment is characterized by unique attitudes toward healthcare—including "Doctor Dodgers" who avoid care due to practical barriers, "Wellness Influencers" who seek innovative solutions, "Whole-Health Managers" who prefer holistic approaches, "Trusting Traditionalists" who defer to medical authority, and "Unapologetically Unhealthy" individuals who only seek care when necessary. The table provides tailored engagement strategies for each segment, such as offering step-by-step guidance for strugglers, emphasizing accessibility for dodgers, highlighting innovation for wellness enthusiasts, providing integrative options for holistic managers, maintaining traditional approaches for traditionalists, focusing on efficient acute care for the unhealthy, and promoting autonomous preventative services for the health-confident.

Note: Listed segment sizes are based on Monigle’s national model; Virtua, in partnership with Monigle, researched and adapted each segment to their patient database.

Segment applications
  • Personalized content: Segment-specific messaging adapted to lifestyle constraints (e.g., "Doctor Dodgers" segment outreach acknowledges time constraints and potential work conflicts)

    • Customized email subject lines and calls-to-action based on segment characteristics

    • Visual content: Tailored email images that reflect the target patient population

  • Health risk assessment (HRA) promotion for patients not quite ready to schedule appointments

    • Inform patients whether they are at risk for a certain health condition

    • Opportunity for segments that delay care to learn about their health without having to directly engage

  • Service recommendations by segment: Appointment type suggestions and service offerings tailored to behavioral insights and predicted healthcare needs for each segment

    • Framing designed to align with what motivates and resonates with each behavioral segment

    • Tailoring appointment suggestions to past experiences after tracking services that patients use most often over time

  • Appointment-ready messaging for motivated behavioral segments

  • Future channel expansion: Plans to incorporate text messaging as an additional outreach channel beyond current email-first approach

Results/metrics

Virtua Health's behavioral segmentation has led to the following outcomes:

Infographic showing Virtua Health Consumer Segmentation Program Outcomes. Left section titled 'Increased patient engagement' displays an upward trending line chart icon with two metrics: 5-10% service line conversion rates and 30-40% campaign open and response rates. Right section titled 'Revenue Growth' shows a stack of money icon with the metric: greater than $30 million annual revenue attribution.
  • Service line conversion rates:

    • Tracking from initial call-to-action to specific appointments booked

    • Not tracked in this way before these initiatives, but overall sentiment this rate has increased

  • Campaign response/open rates:

    • Upward trend from rates prior to program implementation

Data integration sources
  • Epic EHR system for patient data foundation

  • CRM system with integrated health risk propensity modeling

  • Third-party demographic and health risk factor data sources


Benefits

  • Enhanced patient engagement:

    • Relevant messaging delivery reducing communication fatigue

    • Trust building through personalized, appropriate outreach

    • Breaking through message clutter in competitive market

  • Operational efficiency:

    • Resource optimization through targeted campaigns

    • Reduced messaging traffic from broad, untargeted communications

    • Strategic balance between high-value and mission-driven segments

  • Strategic differentiation:

    • Competitive advantage through sophisticated targeting

    • Partnering with national vendor and localizing information to fit system’s needs and populations

    • Brand building through human-centric approach


References

“Humanizing Brand Experience: Healthcare Edition – Volume 8,” Monigle, May 2025, https://www.monigle.com/r/humanizing-brand-experience/healthcare/

“Exploring Humanizing Brand Experience Vol 6 Findings: Consumer Segmentation,” Monigle Blog, https://www.monigle.com/blog/hbe-v6-segmentation/