Firmographics are structured, company-level data attributes used to describe, segment, and qualify B2B prospects. The word combines "firm" (as in business) with "demographics," applying the same idea of categorising populations to companies rather than individuals.
In outbound sales, firmographic data answers a basic question before outreach starts: does this company fit our target profile? Sales teams use firmographics to filter a broad universe of companies down to those worth pursuing.
Common firmographic attributes
Industry and vertical describe what the company does. Standard classifications include SIC codes, NAICS codes, and plain-language categories like SaaS, fintech, or logistics.
Company size is typically measured by headcount and sometimes by revenue range. "51-200 employees" and "Series B SaaS" are both firmographic qualifiers, and they often proxy for deal size and budget.
Geography covers headquarters location and operational presence, which affects both messaging language and compliance requirements for outreach.
Revenue is often estimated for private companies using data providers. It is a proxy for budget and potential deal size, though estimates vary significantly by source.
Funding stage indicates where a company is in its growth cycle: bootstrapped, seed, Series A, Series B, or public. Each stage implies different budget authority and buying patterns.
Growth rate indicates whether a company is expanding, contracting, or stable. Fast-growing companies often have more budget to allocate and more urgent problems to solve.
Firmographics vs demographics vs technographics
Firmographics describe the company. Demographics describe individuals within it: title, seniority, department. Technographics describe the tools the company uses.
All three are used together when building a prospect profile. Firmographics qualify the company, demographics identify the right person within it, and technographics surface whether they already use complementary or competing tools. None of the three is sufficient on its own.
How firmographics feed into your ICP
Your ideal customer profile is largely built from firmographic criteria. Once you define an ICP, you apply firmographic filters to prospect databases or LinkedIn searches to build a list of companies that match.
The practical limitation is that firmographic data is often imprecise for private companies. Revenue estimates vary by source. Headcount figures on LinkedIn lag behind actual hiring. Job postings are a more current signal for size and growth than static database records. This is why firmographic filters are a starting point for segmentation, not the entire qualification process.
How toflow.ai uses firmographic data
toflow.ai's Enrichment Agent pulls firmographic attributes, including industry, company size, funding stage, and geography, automatically as part of lead qualification. LinkedIn prospecting within toflow.ai uses firmographic filters directly as search parameters, so you build target lists that match your ICP without exporting data to a spreadsheet for manual filtering. The Chrome Extension surfaces firmographic data from LinkedIn company profiles in real time, letting you validate fit while browsing.