Firmographic data definition

Most definitions stop at a list of standard fields. Those fields tell you what a company is. They rarely tell you whether it needs what you sell. This page separates the two: the standard firmographics every data source carries, and the fields that actually decide relevance in outbound, such as department sizes, the company's own description of itself and the roles it is hiring for.

What is firmographic data?

Firmographic data is to companies what demographic data is to people. It records facts about an organisation that do not depend on any one employee: what it does, how big it is, where it operates and how it is classified.

The idea comes from industrial marketing. In 1983 Thomas Bonoma and Benson Shapiro proposed a nested approach to segmenting business markets. The outermost nest holds the variables you can see from outside the company, such as industry, company size and location. That outer layer is what is now called firmographics. The inner nests, from operating variables down to the personal traits of buyers, are harder to observe and usually more predictive.

The lesson of the model still holds. Firmographics are cheap and easy to filter on, so everyone uses them. For the same reason they rarely set you apart from the next sender with the same filters.

Which firmographic fields are standard?

Five fields appear in almost every source: legal name, headquarters location, industry, number of employees and revenue. Vendor glossaries such as the HG Insights definition list the same core set.

Industry is the field with a formal standard behind it. In North America it is NAICS, which replaced the older SIC codes in 1997; the current version is NAICS 2022, with a revision planned for 2027. In the EU it is NACE, now at Rev. 2.1, adopted in 2022 and used in statistics from 2025. Czechia publishes its national version, CZ-NACE, in force from 1 January 2025 with implementation during 2026.

A classification code is useful for a first cut. It is also coarse. Two companies under the same code can sell to entirely different buyers, and many companies are filed under the code of their legal registration, not of what they sell today.

Which fields actually predict fit?

The fields that predict fit are the ones that describe the problem you solve, not the company in general. Headcount says a company has 400 people. Department size says whether 40 of them are in sales, which matters if you sell sales tooling. The company's own website description says what it believes it does. Open and past job ads say what it is building now.

Leadspicker's knowledge base frames all enrichment around a single decision: is the product relevant to this company or not? Standard firmographics narrow the list. The predictive fields make the decision.

Groups of fields, not a full field count. Freshness is qualitative: how often the underlying fact usually changes.

Industry codes are maintained by public bodies. The U.S. Census Bureau publishes NAICS, which replaced SIC in 1997 and is revised every five years. Eurostat publishes NACE Rev. 2.1, and the Czech Statistical Office publishes CZ-NACE, its national version valid from 2025. When a data source says "industry", check which of these it means.

Where do firmographics come from?

Firmographics come from four kinds of source, and each has its own lag.

• Business registers: legal name, registered address, industry code, annual accounts. Authoritative, but updated on the filing cycle.
• Company websites: what the company says it does, products, locations, published phone numbers. Current, but written as marketing.
• Job portals and career pages: open and past positions. The freshest public signal of where a company is putting money.
• Data providers: aggregate the above, add headcount and department estimates, and resolve them to one record.

Coverage differs by country. Leadspicker adds public registry data on top of its global baseline for Czechia and Slovakia, and covers the majority of job portals in the rest of Europe, which is where its job-ad fields come from. A record built from a register alone will carry the standard fields and little else.

Firmographic vs technographic vs intent: what is the difference?

Firmographic data says what a company is. Technographic data says what it runs. Intent and signal data say what it is doing now. The three answer different questions and are usually combined in that order: firmographics to define the market, technographics to filter for compatibility, signals to decide when to write.

Frequently asked questions

Which firmographic fields matter most for outbound?

The ones tied to the problem you solve: department sizes, the company's own description and its open job ads. Industry, headcount and revenue are useful for a first cut but rarely decide relevance on their own.

Where does firmographic data come from?

From business registers, company websites, job portals and data providers that aggregate them. Registers are authoritative but lag; websites and job ads are fresher but less structured.

How is firmographic data different from technographic data?

Firmographic data describes the company itself: size, industry, location, departments. Technographic data describes the technologies it uses. Firmographics define the market, technographics filter it for compatibility.