How Pacira Generated Deep Website Insights to Get Patients on Therapy Faster
Pacira BioSciences found basic website analytics didn't reveal what patients actually needed beyond standard metrics. Led by Stacy Stone, Executive Director of Omnichannel and Customer Experience, the team implemented Veeva Ostro's conversational AI platform to analyze the exact questions users typed on the website and optimize content strategy around real user intent. This let Pacira move beyond surface-level data to actionable insight into patient needs, aiming to help patients get on therapy faster; the page also notes Ostro delivers "instant answers on brand sites and email" with "100% compliant, conversational AI." No specific numeric outcome metrics are stated in the body text.
Veeva Systems is the dominant CRM and content platform in pharma commercial, regulatory, clinical and quality operations, now shipping AI agents directly inside those same production systems.
This sits in the Ship stage of the AI use-case lifecycle: Named examples from the vendors pharma teams use to get an AI system live inside a real, regulated production workflow — validation, CRM, safety and clinical systems of record.
Published by Veeva Systems on its own site — read the original case study on ostro.veeva.com ↗
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