Definition glossary
Every indicator written so it means one thing across the institution.
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Data, Reporting and Revenue Tracking
Reporting is not about showing data but about making it decidable. When enquiry, qualified enquiry, conversation, appointment and arriving patient are measured against one definition set, the step where loss occurs and the direction the budget should take become visible.
Most institutions run three separate reports: the advertising dashboard, web analytics and a patient-relations spreadsheet. All three show different numbers and the meeting is spent arguing about which is right.
Without shared definitions a dashboard is useless
The first output of a measurement system is not a dashboard but a glossary. When is an "enquiry" counted, what does "qualified" mean, when is an "appointment" confirmed — without those written down, every dashboard stays internally inconsistent.
Once the glossary exists, the technical build becomes simple: ensure each source produces data to the same definition and bring them into one place.
Core indicators tracked
- Enquiry count by channel and qualified-enquiry rate
- First-response time and the share of records left unanswered
- Stage-to-stage transition rates and the bottleneck
- Distribution by market and language
- Cost per qualified enquiry and its movement over time
- Distribution of loss reasons
Revenue linkage needs careful matching
Matching marketing data to revenue must happen without moving patient identity into the marketing environment. The workable method is cohort-level rather than record-level: how many records from which channel in which period turned into how many arriving patients.
That approach gives directional information without moving personal data. Precision falls slightly, but the ground stays sufficient for decisions and safe on compliance.
One dashboard
Advertising, web and CRM data unified under the same definitions.
Cohort matching
Revenue linkage established by period without carrying personal data.
Working sequence
How we move, step by step
- 01Glossary work
Indicators and definitions written and approved with the institution.
- 02Source audit
Each data source verified as producing to the definition.
- 03Dashboard setup
Separate views prepared for management and for operations.
- 04Rhythm definition
Weekly operations, monthly management and quarterly review calendar.
- 05Decision binding
Which indicator at which threshold triggers which decision is written.
Frequently asked questions
What institutions ask most about this
Which analytics tools do you use?
Tool choice depends on existing infrastructure. Our priority is not the brand but definition consistency, data-protection compliance and whether your team can actually use it.
Does analytics setup create a data-protection problem?
Data-protection risk depends on configuration. Consent, retention period and transfer conditions are manageable when set up correctly. We assess those headings with your data protection lead before setup.
How often do reports arrive?
A short weekly summary for operations, a monthly report for management, a quarterly review for strategy. Frequency follows your decision rhythm.
Do we have to share revenue data?
Not required. Without it, measurement stops at qualified-enquiry level: directional but with no return-on-investment calculation.
Do patient names appear in the dashboard?
No. No personal data sits in the marketing dashboard; measurement is aggregated and anonymous.
Who reads the report internally?
Management, the marketing lead and the international patient unit each read a different cut of the same data, so we prepare three levels of detail rather than one shared document.
Next step
End the argument about which number is right
Share your current reports and we will write the shared glossary together.