There’s a meeting most healthcare executives recognize immediately.
Marketing presents campaign performance showing growth in leads and engagement. Finance reports flat revenue. Operations flags access constraints and staffing pressure. Each group brings credible, defensible data, but the conversation still stalls.
Each department has its own KPIs, and measures performance differently. They may not connect — or worse, they may be similar but conflicting. Leadership struggles to move forward with confidence in data driven decision making.
Why is this?
Healthcare organizations now generate more data than ever. Forms are completed. Patients are scanned. Every order is barcoded and recorded. Claims are filed, denials appealed, and billing systems record revenue. Quarterly and annual performance is measured, and budgets are set for the following year. The pressure is always on to maintain performance or cut costs.
In marketing, campaign platforms track advertising metrics: impressions, clicks, reach, and their efficiencies. Web analytics track site visits, return visitors, and on-page actions and “conversions.” CRM platforms track patients engaged and number of responses by journey step. Sometimes, EHR and their portals systems are connected to capture patient appointments, diagnoses, and prognoses.
Dashboards look polished. Reporting cadences feel disciplined. The stories are told.
The foundation appears solid but disparate.
The opportunity for marketing teams is in how they leverage those foundational metrics and connect them to organizational metrics. And critically, how effectively MarTech components are leveraged to stitch the data together and create a marketing insights tapestry that’s not hung on a cork board in a side hall.
When marketing talks about growth, what exactly does the team mean? Increased brand awareness? Total leads generated? Qualified leads? Net new patients? Commercially insured patients? Revenue increases? Contribution margin? The elusive patient lifetime value?
When those terms are shared with finance to evaluate performance, which metrics carry weight? My bet is on the last four, with the most emphasis placed on revenue and contribution margin.
Why healthcare performance metrics mean different things across departments
Within most healthcare departments, the numbers check out. The opportunity here is to strengthen how departments interpret and act on them.
Teams define performance metrics differently across departments — and they should. After all, they have different responsibilities! Marketing focuses on campaign metrics. Finance evaluates revenue and margin. Operations looks at access and throughput. Each lens makes sense. It’s when those lenses don’t align to create clarity on the second row of an eye test chart that performance discussions begin to stall. The course of action isn’t clear.
Another difference is the speed of valid data availability in these different roles. Digital and traditional metrics and data velocities vary from inter-day to monthly. CRM data may be synchronized nightly, while financial reconciliation and claims data lag by weeks or months. Marketing reviews metrics weekly and performance quarterly. Finance revises revenues as claims mature. Leadership juggles multiple clocks in one meeting. The data is accurate; the timing requires interpretation.
None of this suggests broken systems. It suggests that metrics ownership, alignment, and governance need clarity. And to a large extent — the desire to collaborate. I’m reminded by a survey response following a cross-organizational analytics meeting that I received once. In essence, it challenged me with the question, “What makes you think we would all want to sing from the same hymnal?” Call me an optimist, I guess.
How poor MarTech governance creates reporting friction in healthcare
Most healthcare marketing teams already operate with capable technology. The friction rarely stems from missing tools. It comes from the consistent use, the familiarity that comes from time spent in understanding and maintaining the platforms — and how they work together in unison. From adherence to naming conventions, distinction in metric definitions, and consistent application across platforms and team members. From teams committing to the larger goal of performance across tools and systems than within the one(s) they are responsible for.
Without those commitments, metric and KPI consolidation can devolve into a never-ending exercise of data quality monitoring. Metrics interpretation becomes less reliable, and trust in marketing attribution can drift. Small concerns accumulate in the eddies of leadership decision making. Confidence is lost, and teams spend more time reconciling report discrepancies than acting on them.
And when the friction does appear, it’s easier to expand the MarTech stack before tightening governance. To seek the silver bullet, or the bright shiny object miracle cure. Or in healthcare language, treating the symptoms without fully diagnosing the underlying condition.
Before adding tools, leadership should ask:
- Are our definitions documented and shared?
- Are we using agreed upon data sources that have been vetted for multiple teams’ use?
- Are our tools, processes, and methods in place and data able to be shared?
- Have we agreed on how attribution works?
- Do we set goals and performance thresholds before campaigns launch?
- Does every team understand what action follows when a metric moves?
Those questions often unlock more progress than another solution in the quiver.
Some healthcare organizations do face true infrastructure gaps. They may need stronger integration between systems. They may need better integration across solutions or partners. Those investments matter. And they work best when governance and structure are already in place to support them.
Data governance in healthcare marketing: who owns what?
Data governance maturity requires shared ownership and clear accountability.
- Who defines and maintains shared data definitions across the organization?
- Who documents and validates attribution logic so it remains consistent over time?
- Who decides and approves decisions in a shared ecosystem?
- Who aligns marketing and finance around shared KPIs?
Executive teams often benefit more from shared definitions and documented rules than from new and different dashboards or reports. When teams agree on how they define growth and what action follows performance changes, conversations shift. Meetings move faster. Confidence improves. And when leadership has these key elements in place, cross functional performance reviews begin to support strategic decision making instead of slowing it down.
Marketing gains credibility when it speaks the same language as the business. That alignment doesn’t happen on its own. It comes from how systems are structured, how data connects, how metrics align, and how teams act on it together.
In Stop the sprawl: maximizing your MarTech, we go deeper into how to build that structure — and how to make it work in practice.
