One number leadership can trust, not five dashboards that disagree
Healthcare marketing analytics only work when leadership trusts the number, and leadership only trusts the number when there is exactly one authoritative source for it. We build measurement frameworks, KPI taxonomies and reporting dashboards for hospitals, health systems and physician groups so that marketing performance is reported the same way every time, to every audience, from the marketing team to the board.
The problem is rarely a lack of data
Most healthcare organizations we work with already have data. What they don't have is agreement on which system is right when two dashboards show different numbers for the same metric. A KPI taxonomy defines, in writing, what each metric means, which system of record produces it and who owns it, so "website visits" or "qualified leads" means the same thing whether marketing, finance or a service line director is looking at it.
What the work includes
A KPI taxonomy
Naming every metric that matters to the organization, its authoritative source system and its definition, resolving the disagreements between platforms before they reach a board meeting.
Analytics cleanup and audit
Across the existing measurement stack: tagging, attribution and reporting hygiene, so the numbers going into dashboards are accurate before they're visualized.
Analytics dashboards
Built around the number each audience actually needs. What the CMO needs to defend a service line budget is not what a digital marketing manager needs to optimize a campaign, and both should be able to trust their own view.
Data infrastructure built within HIPAA-compliant constraints.
Healthcare marketing analytics work with a layer of data complexity general marketing does not: what can be tracked, matched and reported on has to respect patient privacy at every step, not as an afterthought applied after the dashboard is built.
Proof: cleaning up measurement across a multi-hospital academic system
We led an analytics and measurement cleanup for the University of Maryland Medical System, a multi-hospital academic system, building a KPI taxonomy and authoritative-source definitions across the organization. The work addressed exactly the problem most health systems have: not too little data, but too many versions of the same number.
This is also the discipline behind our own measurement infrastructure. Our programmatic team includes 19 data analysts working within 30,000 health-related data layers, all within HIPAA-compliant constraints. We build analytics dashboards to the same standard when an engagement calls for dashboard reporting.
Common questions
We already have Google Analytics and a dashboard. Why do we need this?
Having a tool is not the same as having agreement on what it means. If two people in your organization would give a different answer to "how many qualified leads did we get last month," a KPI taxonomy is what fixes that, regardless of which tools are already in place.
Does this replace our existing marketing team's reporting?
No. It gives that team, and everyone reporting to leadership, one shared definition to report from, which usually makes existing reporting faster and more defensible, not redundant.
How does this stay HIPAA-aware?
Measurement and attribution work is built within HIPAA-compliant technical constraints and does not use condition-based audience targeting built from site behavior. mhp.si Health does not provide legal advice; your compliance team should review any measurement plan involving patient data alongside our work.