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What is firmographic data? The B2B marketer's guide to company-level targeting.

Firmographic data describes company attributes like industry, size, revenue, and location. Learn how B2B marketers use firmographics for targeting and segmentation.

Firmographic data, explained.

The questions B2B marketers ask most about firmographics — answered.

What is the difference between firmographic and demographic data?

Firmographic data describes companies (industry, size, revenue, location, ownership type), while demographic data describes individuals (age, gender, income, education, job title). Firmographics are the B2B equivalent of demographics — they segment the market at the organization level rather than the individual level. In B2B marketing, firmographic data is used to identify target accounts, while demographic data is used to identify the right people within those accounts.

What are the most common firmographic attributes?

The most common firmographic attributes are: industry (classified by SIC or NAICS codes), company size (measured by employee count), annual revenue, geographic location (headquarters and office locations), ownership type (public, private, PE-backed, government), founding year, and growth rate. Advanced firmographic profiles also include subsidiary relationships, funding history, and organizational structure.

Where can I get firmographic data?

Firmographic data is available from commercial data providers (ZoomInfo, Clearbit, Apollo, Dun and Bradstreet, LinkedIn Sales Navigator), public sources (SEC filings, company websites, LinkedIn company pages, government registries), and self-reported sources (form submissions, surveys, sales conversations). Commercial providers offer the broadest coverage and most regularly updated data, though accuracy varies by provider and should be validated against multiple sources.

How accurate is firmographic data?

Firmographic data accuracy varies significantly by attribute and provider. Stable attributes like industry classification and headquarters location tend to be highly accurate. Dynamic attributes like employee count, revenue, and technology usage change frequently and can be outdated within months. Best practice is to use multiple data sources, validate critical attributes against public information, and implement regular data refresh cycles to maintain accuracy over time.

How Metadata uses firmographic data for ad targeting.

Metadata uses firmographic data as a core layer in its MetaMatch audience technology. You define firmographic criteria (such as SaaS companies with 200-5,000 employees and $20M-$500M in revenue), and MetaMatch resolves those criteria against its business contact database to identify individuals at qualifying companies. Those matched audiences are then pushed directly into ad platforms like LinkedIn, Facebook, and Google for precision B2B targeting.