Client Background
McKesson Compile provides analytics-ready healthcare data (provider reference, patient claims both open and closed, hierarchy/affiliations, etc.) to life sciences companies. Their products serve use cases like HCP targeting, KOL identification, patient journey analytics, market access, and sales operations. The data is processed: normalized, deduped, enriched, with fast provisioning.
The Challenge
When I started with Compile:
- There was no strong marketing engine — no consistent content, weak visibility.
- Messaging was not fully aligned with the data product’s strengths: fidelity (claims + provider affiliations), speed (turnaround), breadth (open + closed claims), use cases.
- The website was functional but needed clearer use-case stories, higher authority content (guides, case studies) and stronger digital presence (LinkedIn).
- The sales team lacked robust follow-ups, event strategy, outbound & inbound balancing.
Goals
- Define product positioning and messaging that reflects the high fidelity, real-world analytics, strong claims data, quick access, payer coverage, provider affiliations.
- Build a website that shows use cases, product features (Provider 360, Open Claims, etc.), guides, case studies.
- Generate leads via email, LinkedIn, content, events.
- Build credibility with pharma stakeholders via events + reviews + thought leadership.
Strategy & Process
Phase 1: Messaging & Positioning
- Workshops with founders and domain experts to map product strengths to pharma/commercial buyer pain points (e.g., missing data, slow datasets, unclear affiliations, difficulty tracking patient journey, etc.).
- Developed messaging with proof points: “6.8M+ HCPs”, “300M+ patients”, “claims open & closed”, “proprietary affiliations/hierarchy data”, “48-hour provisioning”, “in-house analytics support”.
Phase 2: Website / Content Build
- Built out new website sections: Use Cases (HCP Targeting, KOLs, Market Access), Resources (Case Studies, Research, Guides), Data Products (ReadyData, etc.).
- Produced guides (e.g. “How to use Complete Claims Data for Commercial Launch”) and case studies pulling from existing customer examples.
- Ensured the messaging (website, case studies, resource content) mirrors LinkedIn content and broader market expectations.
Phase 3: Demand Gen + Sales Enablement + Events
- Set up outbound email campaigns via HubSpot to lists of pharma/commercial teams, sharing high-value content weekly.
- Grew LinkedIn following aggressively by posting resource content, thought leadership, data product announcements.
- Supported sales team in defining and executing follow-ups: event content, nurturing event leads.
- Planned participation in major healthcare / pharma / life sciences events; created event collateral; followed up with leads post-event.
Execution Highlights
- Release of Multi-Payer Complete Claims ReadyData with strong statistics (patient lives, payer coverage, etc) served as a content anchor.
- Website showed improved use case clarity (via pages like Insights & Analytics, Use Cases, Data Products).
- LinkedIn content aligned closely: guides, data news, product announcements, industry commentary.
- Events added legitimacy and provided warm leads.
Results & Outcomes
- Over 150 qualified leads from outbound/content/event/demand gen in first 3 months.
- LinkedIn following soared from under 100 → ~3,000 in first 4 months, and up to ~9,700+ later.
- Several leads from event participation converted to real revenue opportunities.
- Strong content & event assets helped build brand authority among pharma decision makers.
- The combination of content, leads, events, brand, and product strength helped position Compile for acquisition by McKesson.
Key Takeaways
- For sophisticated B2B data products (especially in healthcare), data quality, speed, and completeness are critical differentiators.
- Marketing must clearly articulate these differentiators (claims vs open data; provider affiliations; closed claims; normalized/enhanced data) using proof points.
- Content, events, and sales enablement are not optional — they compound credibility, lead generation, and pipeline.
- Early wins (leads and followers) help build downstream momentum and valuations.