Combining Provider Data for Market Targeting
Healthcare services platform
The question
The company needed to combine fragmented clinic and prescriber data into a usable basis for outreach and market assessment.
The work
We deduplicated clinic records, resolved source conflicts, linked prescribers to clinics, and developed a documented ranking approach. Exact matches were distinguished from ambiguous matches requiring review. We also assessed contact-data options and prepared audience files for campaign use.
Source-priority rules resolved conflicting fields across clinic datasets. Conservative prescriber matching kept uncertain joins available for review, and the scoring criteria remained visible when a provider’s rank was examined.
What the client gained
A ranked provider dataset, documented source and scoring rules, and a practical plan for addressing gaps in contact coverage.
The delivered targeting dataset ranked 5,000 providers. The matching process connected 12,434 Medicare prescribers to 2,089 clinics, providing a more usable basis for outreach.
From source records to outreach
The pipeline reconciled 14,750 clinic records from five vendors, consolidated 27 shared fields using source-priority rules, and screened a source of approximately 517,000 Medicare Part D prescribers. Ranking considered specialty, geography, drug cost and volume, and independent-versus-hospital signals.
Delivery included audience files for Google, Meta, and LinkedIn, tests of email-acquisition channels, and a costed contact-data recommendation. TAM, SAM, SOM, and ROI models connected the targeting work to acquisition planning.
Limits
The ranking and market estimates supported targeting decisions. They did not establish campaign conversion or booked revenue.