Healthcare Made Human
Boehringer Ingelheim: Powering Faster, Smarter Content with Modular Strategy
Client: Boehringer Ingelheim (BI)
Industry: Global Pharma
Project Focus: Content Audit & Optimization, Modular Content Framework, Segmentation, Template Strategy, MLR Readiness
Challenge
Boehringer Ingelheim’s marketing team needed to reduce time to market and improve medical-legal-regulatory (MLR) efficiency without sacrificing content quality. With large volumes of previously created material, their teams faced disjointed workflows, repeated submissions, and long delays getting vital content approved for use.
Approach
I led a high-impact CX and content engagement to lay the strategic and operational groundwork for BI’s modular content transformation. My work spanned five key focus areas:
-
Conducted deep content audits across therapy areas to identify reusable modules
Flagged content for refresh, repurpose, or archive
Streamlined redundant messaging and identified under-leveraged assets
-
Refined message relevance across key HCP and patient segments
Applied content hierarchy and personalization logic to align with journey stages
Defined TILES naming conventions for modular tagging, search, and reuse
-
Provided guidance to creative teams for template design aligned with modular reuse
Created call-to-action (CTA) recommendations and content rules to match legal, medical, and brand guidelines
Delivered gap analyses and modular opportunity maps to inform what new content needed to be created
Results
Significantly faster MLR approval times with Veeva submission alignment
Improved cross-functional collaboration between strategy, content, legal, and creative teams
Higher content reuse rates, reducing time and budget spent on net-new assets
Clear roadmap for modular content planning and execution across campaigns
Services Provided
Modular Content Audit & Recommendations
Segment Optimization & Message Mapping
TILES Naming Convention Design
Creative & Template Strategy Advisory
MLR Preparation for Veeva Integration
Gap & Opportunity Analysis