Veterinary Practice Analytics

Vettica's practice analytics service turns our practice-level database into market intelligence: how many veterinary practices operate in a territory, who owns them, how many doctors work in each, what specialty mix they carry, and how those numbers are shifting. It's the same 32,000-practice dataset behind our contact lists, delivered as analysis instead of outreach rows.

This page covers what the service includes, who buys it, how marketing and multi-location teams use it, and how it compares to analytics software and published industry reports. One clarification up front: if you're looking for dashboards that analyze your own clinic's revenue and appointment flow, that's PIMS reporting, and we explain the difference below.

What does veterinary practice analytics cover?

Every engagement starts from the same core: 32,000 US practice locations tied to roughly 130,000 licensed veterinarians and classified by specialty. On top of that we build the cuts your question needs. Market sizing by state, metro, or ZIP radius. Independent versus corporate ownership share, including which consolidator holds which locations. DVM headcount distributions, so you know whether a territory is dominated by one-doctor clinics or multi-doctor hospitals. Specialty density, from small animal general practice down to subtypes like equine sports medicine or veterinary oncology.

The cuts we run most often:

Dimension	Example question	Typical buyer
Market sizing	How many practices sit within 50 miles of our 12 distribution hubs?	Distributors, equipment vendors
Ownership	What share of Dallas-Fort Worth practices are still independent?	PE firms, consolidators, software vendors
DVM headcount	Where are the 3+ doctor hospitals we can actually service?	Practice management software, recruiters
Specialty density	Which metros have emergency coverage gaps?	Pet insurance, referral networks
Change over time	Which suburbs added clinics since our last snapshot?	Anyone doing territory planning

Who buys practice analytics, and what do they ask?

A practice management software vendor asks: how many independent practices with three or more DVMs exist in states where we have implementation staff? That's their serviceable market, and the answer changes their hiring plan.

A distributor asks: which metro areas have the highest doctor density where we have no active accounts? That's an expansion map, weighted by actual purchasing capacity instead of raw clinic counts.

A private equity firm asks: what share of practices in a target region are still independently owned, and how has that share moved? That's a consolidation pipeline, and it looks different in Texas than in Massachusetts.

A pet insurance company asks: where are practices opening and closing? Growth corridors in suburban retail space tell them where partner recruitment will be easiest next year.

How do marketing teams use veterinary analytics?

Marketing teams use the same data one step earlier in the funnel than a contact list. Before you spend on a campaign, analytics answers the sizing questions that determine whether the campaign math works at all. How many practices fit your targeting criteria nationwide? If the answer is 900, an awareness play priced for 20,000 accounts is the wrong plan.

The second use is measurement. Your CRM tells you how many veterinary accounts you have. It can't tell you what share of the market that is, because it has no denominator. Practice-level counts by territory give every rep and every campaign a real penetration number: 34 active accounts out of 210 practices in the metro is a fact you can plan against. Teams running outbound programs usually pair a market cut with a custom list build against the same criteria, so the analysis and the outreach file describe the same universe. There's more on campaign-side applications on our vet marketing page.

What about multi-location groups and consolidation?

Multi-location veterinary groups use analytics from the operator's side. Each location competes in its own local market, so the useful benchmark is local: how many competing clinics sit within each hospital's draw radius, what specialties they carry, and which ones changed hands recently. Comparing your DVM headcount and specialty coverage against the practices around you beats national averages, which blend rural Montana with Manhattan.

Consolidation is the backdrop for most of these questions. Most published industry estimates put corporate ownership somewhere between 10 and 25 percent of US practice locations, with a larger share of total revenue, because consolidators buy multi-doctor hospitals, emergency, and specialty practices first. National percentages hide the local reality. Some metros are heavily consolidated while whole rural regions have no corporate presence at all, which is exactly why territory-level ownership data is worth more than the headline number. Site selection for a new location runs on the same records, using practice location data to map competitor density around candidate addresses.

Do you need veterinary practice analytics software?

For market questions, probably not. Software subscriptions earn their cost when the underlying data changes daily. Market structure doesn't. Practices open, close, and change ownership over quarters, so a snapshot refreshed twice a year answers territory questions at a fraction of a platform contract, and nobody on your team has to learn a tool.

The other thing people mean by "practice analytics software" is PIMS reporting. A practice information management system like ezyVet, Cornerstone, or Avimark reports on your own clinic: revenue per visit, appointment fill rates, inventory. Useful for running a hospital, and silent about the 31,999 other practices in the country. Vettica sits on the market side of that line. We can even tell you which PIMS each practice runs, which matters if your product integrates with some systems and competes with others.

How do deliverables and pricing work?

Analytics projects are scoped like our list builds: you describe the decision you're making, we quote a fixed price, and you receive the analysis plus the underlying data. Deliverables are typically a summary document with the numbers that matter and a CSV of the practice-level detail so your team can re-cut it in a spreadsheet or BI tool. No login, no seat licenses, no renewal.

Because you keep the raw data, one engagement often replaces both a market report and the contact list you'd have ordered next. Adding verified contacts to the same practices is a line item, not a second project. Managed data projects start at $10,000; smaller sizing questions can usually be bundled with a standard list order.

Why more than buy an industry report?

Published veterinary market reports give you national totals and growth rates, which are useful context and useless for territory decisions. They can't tell you how many equine practices operate within 100 miles of Lexington or which Phoenix suburbs added clinics last year. Our analytics are built from practice-level records, so every number in the summary can be traced to the practices behind it, and you own the list of those practices when the project ends.

The honest limitation runs the other way. If what you need is a national growth forecast or spend projections for the whole animal health market, buy the published report. Analyst firms model that well, and practice-level records don't forecast macro spend. Where they beat every report is the question reports can't touch: what does my specific market look like, practice by practice?