Decoding Patient Decisions: The Behaviors Behind Drop-Off and Lost Revenue

Patients make critical treatment decisions outside the clinical encounter, in forums, communities, and conversations that never reach the industry's data systems. This invisible decision-making leaves commercial teams guessing about why patients start, stay, or stop treatment, and that gap shows up directly in retention and revenue every month it goes unaddressed.

This session unpacks the behavioral patterns behind patient drop-off, drawing on real-world case studies in GLP-1 patient experience and menopause care-seeking.

• Understand: the decision points where patients disengage from treatment before it ever shows up in clinical data
• Gain: insight into behavioral patterns driving drop-off and non-adherence across GLP-1 and menopause care journeys
• Learn: how patient intelligence can close understanding gaps without adding cost or complexity to already stretched teams