Wellmark Blue Cross and Blue Shield

I have spent more than 25 years working with digital marketing platforms and a decade working in measurement and data, beginning with implementing Universal Analytics and Google Tag Manager across Wellmark Blue Cross and Blue Shield’s digital properties. Much has changed since then. Today, I lead Wellmark’s Digital Marketing and Marketing Analytics teams, where I have had a front-row seat to how data, technology and storytelling come together to shape customer experiences and drive business outcomes.

Over the past several years, we have been on a deliberate journey to strengthen our data-driven decision-making culture, skillsets and capabilities. That work has included modernizing and integrating our marketing technology infrastructure, building a comprehensive analytics framework and evolving how insights inform strategy. Throughout this journey, our goal has remained consistent; ensure our marketing efforts clearly demonstrate business value, while deepening our understanding of our audiences and their behavior.

Building a Data-Driven Foundation

A clear example of this was the launch of our new website last fall. We took an audience-centric approach, partnering closely with our UX team to combine quantitative data with qualitative research. Those insights informed persona development and journey mapping, which in turn shaped our design, content strategy and overall digital shopping experiences.

As digital engagement becomes central to how consumers shop for coverage, the ability to continuously learn and adapt is critical. With that in mind, we established an optimization framework that enables ongoing testing, learning and iteration. This allows us to improve experiences intentionally, with the customer at the center of every decision.

Since analytics maturity is not the responsibility of a single team but rather a shared effort across our department, in addition to advancing our technical capabilities, we are also focused on strengthening our analytics culture. This includes improving baseline analytical fluency and shifting away from isolated, channel-level reporting toward more integrated insights that reflect an end-to-end journey.

Concurrently, we are continuing to invest in foundational capabilities such as a centralized marketing data hub, attribution modeling and identity stitching. Together, these efforts help us move from reporting activity to telling clearer, audience-centric stories that connect digital engagement to meaningful outcomes.

Measurement as a Strategic Capability

The role of measurement and data in marketing has changed significantly. It’s no longer about producing dashboards for leadership. When used effectively, data enables stronger strategies, provides proprietary insight, supports continuous optimization and leads to better decision-making.

"Data is most valuable when it helps us understand customer behavior and is used to inform the design of digital experiences that feel relevant and meaningful."

The most valuable insights are those that explain why customers behave the way they do, and how that understanding should influence the experiences we design. Measurement becomes powerful when it guides prioritization, informs tradeoffs and helps teams focus on what matters most. For me, data is most valuable when it helps us understand customer behavior and is used to inform the design of digital experiences that feel relevant and meaningful.

Shaping the Future of Digital Engagement

Health insurance is inherently complex, and that complexity extends to digital engagement. We are not designing for a single audience or product. We serve diverse needs within a highly regulated environment shaped by privacy requirements, market disruption and economic change.

Analytics plays a critical role in navigating that complexity. It helps guide where to invest across channels, which audiences to prioritize and what topics or plans to emphasize. It surfaces friction within journeys, identifies behavioral signals and supports more informed next-best-action decisions. As analytics continues to mature into a core strategic capability, we are advancing our data infrastructure, attribution approaches and decisioning models to better connect digital activity to both business and customer outcomes.

The questions analytics helps answer today extend well beyond performance. It informs which content drives engagement and task completion, which messages resonate with specific audiences, how digital pathways influence acquisition and retention and where critical conversion paths create value. Analytics is not an afterthought to campaigns; it is embedded in how strategies are shaped and evaluated.

Meeting Rising Consumer Expectations

Consumer expectations are also redefining digital engagement. People expect speed, transparency, personalization and the ability to solve problems through self-service. Those expectations don’t change when someone is shopping for health insurance, even though the process can be complex and emotionally significant.

In practice, this means simplified journeys, intuitive navigation, fast load times and streamlined enrollment experiences are no longer optional. Clear cost and benefit visibility, along with tools that build confidence, are essential. While price remains important, member experience has become a key differentiator. Where insurers once competed primarily on claims processing and provider networks, they now also compete on digital experience, transparency, and the overall quality of engagement.

As a result, organizations are investing more in usability testing, journey-based engagement strategies and personalization to support confident decision-making. At the same time, generative AI search is emerging as a significant shift in how consumers discover and evaluate information. For health care organizations, this calls for a new approach to visibility, credibility and measurement, treating AI platforms as a new, emerging digital channel while upholding standards for accuracy, compliance and clarity.

AI also presents opportunities to automate tasks, enable predictive insights and improve personalization. When used responsibly, these capabilities can increase efficiency, anticipate user needs and accelerate learning, while still meeting regulatory and privacy requirements.

Data-Driven Healthcare Leadership

For professionals building a career in digital strategy or analytics, I encourage building intentional fluency in both. Marketing today is not just about channels and tactics, but about outcomes. Leading at the intersection of strategy and analytics is one of the most effective ways to drive those outcomes.

Effective data-driven leadership happens when audience-centric digital strategies are informed by insight, translated into decisions, and communicated through clear, data-backed stories. When strategy and analytics work together, they can connect business performance to member impact.

In health care, that work is shaped by complexity and regulation. Leaders must balance compliance and privacy with innovation, ensuring digital experiences are not only effective, but trustworthy and responsible.

Ultimately, success comes from combining a audience-centric mindset with analytical rigor and deep industry knowledge. When strategy, data and health care context are aligned, organizations can deliver meaningful business value while improving experiences for the people they serve.