Buyer persona library and company-wide sales training for a Fortune 10 health-tech product launch
A Fortune 10 healthcare technology organization was preparing for a major product launch targeting large health systems and integrated delivery networks. The commercial team understood the product well, but they lacked a shared framework for understanding the organizations they were selling into. Different sales reps approached the same accounts with completely different narratives, and the company had no unified language for describing the enterprise buying committee.
In practice, this meant deals were progressing inconsistently. One rep might pitch primarily to IT leadership, another to revenue cycle leaders, and another to clinical stakeholders. Even when conversations went well, proposals often stalled because the broader buying committee had never been mapped out. A CIO might support the solution while a CFO questioned the ROI, or operations leaders might resist implementation because the operational implications had never been addressed.
The challenge wasn't a lack of data. The organization had access to industry research, analyst reports, and internal sales feedback. The real problem was synthesis. None of that information had been translated into a practical framework that a sales rep could use before a call or while navigating a complex enterprise deal.
I came in as a GTM consultant with a clear mandate: build the buyer intelligence infrastructure from the ground up and turn it into something the commercial team could actually use.
That meant designing the research methodology, defining the enterprise segmentation model, building the persona framework, and translating everything into practical sales enablement materials. I owned the entire process end-to-end — from the initial research plan through the final training materials used by the sales organization.
In addition to producing the analysis itself, I built the internal training that introduced the framework to the sales team and explained how to apply it in real deals. The goal wasn't simply to produce a research document. The goal was to give the organization a shared operating model for understanding how healthcare enterprise purchasing decisions actually work.
I began by constructing a segmentation model for the four major enterprise healthcare customer types the company targeted: Academic Health Systems, Integrated Delivery Networks (IDNs), Management Services Organizations (MSOs), and Community Hospital Groups.
For each segment, I mapped the full context in which buying decisions occur — including firmographics, operating structure, technographics, psychographics, and IT governance. The research drew from more than 150 sources including Gartner, KLAS, HIMSS reports, health system financial disclosures, vendor case studies, and real job postings describing operational responsibilities inside these organizations.
This research formed the foundation for what became the Four Engines Framework, a model that explains how major enterprise purchasing decisions actually get approved inside health systems. The framework identifies four decision engines that must align before a deal can close:
In most enterprise deals, proposals stall because they satisfy one engine while creating concern in another. A system that improves clinical workflows may create financial uncertainty. A tool that improves revenue cycle efficiency may introduce operational friction. The Four Engines Framework gave the sales team a way to diagnose these tensions and plan conversations accordingly.
Building on that model, I developed a detailed persona library covering each buyer type across the enterprise healthcare ecosystem. The library was structured specifically for sales usability — concise, high-signal summaries that could be reviewed quickly before a call rather than long analyst-style reports.
The final deliverable was a 40-slide company-wide sales training that introduced the segmentation model, the Four Engines Framework, and the persona library as an integrated sales enablement system.
The buyer intelligence framework became the foundation for the company's enterprise go-to-market strategy. The persona library and Four Engines Framework were incorporated directly into sales training used across the organization.
Instead of approaching enterprise healthcare deals with inconsistent messaging, the sales team gained a shared framework for identifying the real decision makers, anticipating objections, and structuring conversations to address each stakeholder's priorities.
The research infrastructure also became the foundation for a second project: CRAM, an AI-powered tool I built to transform buyer intelligence into structured content recommendations for marketing and sales teams.
Rather than leaving the research buried in slide decks, CRAM operationalizes it — turning enterprise buyer insight into practical guidance that can be used in campaign planning and deal preparation.