Veterinary Data for Pet Pharma

The problem

Field forces and marketing teams in animal health need to reach prescribing veterinarians, and the industry's default data sources weren't built for that. Human health databases key on NPI numbers, which veterinarians don't have. Generic B2B tools can't tell a prescribing DVM from a kennel operator.

The result is territory files with coverage holes, reps calling practices that closed last year, and marketing sends that bounce at rates your compliance team notices.

How Vettica solves this

We build from state licensing boards, so the base population is every licensed veterinarian, rather than just the ones with a web presence. DEA registration cross-referencing matters for controlled substance products: it confirms the prescriber status your field team cares about. Specialty classification separates the small animal GPs from the equine practitioners and food animal vets whose prescribing patterns have nothing in common.

Territory files that survive an audit

Pharma field operations run on territory integrity. Our practice-level records carry verified addresses and geocodes, so alignment files load cleanly into your CRM and your reps' routes reflect practices that exist. When we refresh a file, you get a delta report: practices opened, closed, merged, or changed ownership since the last build. Your ops team sees exactly what moved instead of diffing spreadsheets.

Specialty targeting for launch campaigns

A dermatology launch wants the practices with dermatology caseloads. A parasiticide campaign wants geography and practice type. An equine product wants the 3,000-odd practices that actually treat horses, not 32,000 clinics with 'veterinary' in the name. Specialty cuts like these are standard filters on any order; see the specialty list for what we track.

How to get started

Tell us your product's target prescriber profile and your field structure. We'll quote a build, and for field teams we'll match the deliverable schema to your CRM's territory model so the file loads without rework. Most pharma teams pilot one region against their incumbent data source and compare coverage head to head.