In this episode, experts from Johns Hopkins Medicine break down the essentials of measuring campaign effectiveness and ROI, from connecting marketing leads to patient conversions through HIPAA-compliant data strategies to building dashboards that tell a compelling performance story. Tune in for practical guidance on campaign setup, data modeling, and analytics frameworks that help prove marketing’s contribution to patient growth, appointments, and revenue.
Essentials of Measuring Marketing Campaign Effectiveness and ROI in Health Care
Published Date: 08/07/26
Featured Speakers:
Jason Miller | Apoorva Gupta
Jason Miller is a Seasoned analytics leader with 20+ years of experience transforming healthcare data into actionable insights. I hold a B.S. in Information Systems Management from the University of Maryland, Baltimore County, and a Master’s in Health Informatics from the University of Illinois at Chicago. My expertise spans the full spectrum of healthcare data—finance, quality, clinical outcomes, and web analytics—with a deep technical IT foundation. I’ve led teams of up to 20 professionals, building cultures of data-driven decision-making across complex healthcare environments. Passionate on advanced analytics for organization growth and deliver meaningful impact for the patients and communities we serve.
Apoorva brings over four years of specialized experience in digital marketing analytics. She currently leads marketing analytics for the Johns Hopkins enterprise, overseeing SEO, SEM, web privacy, web analytics, market strategy, and business intelligence development.
She holds a Master’s degree from the University of Wisconsin-Milwaukee and a Bachelor’s in Digital Arts from McPherson College.
Passionate about transforming data into actionable insights, Apoorva excels at data storytelling to unlock organizational potential. She is highly skilled in web analytics and proficient across a wide range of marketing platforms and tools. Her strong understanding of the Epic data warehouse further enables her to effectively integrate and connect complex datasets.