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Data glossary

Firmographic data

The company-level attributes used to segment B2B markets, and the limits of each field.

Quick answer

Firmographic data describes organizations rather than individuals: industry, headcount, revenue, location, structure and age. It is the B2B equivalent of demographics and it is what makes a market segmentable. Every field carries a definition problem, so two providers can disagree about the same company without either being wrong.

What it is

The core fields are industry classification, employee count, revenue band, geography, number of locations, ownership type and years in operation. Together they answer whether a company belongs in your market before anyone looks at behavior. They are structural: they change slowly, they are observable from outside, and they can be compared across thousands of records, which is exactly what behavioral signals cannot do.

How it works

Sources differ in what they see. Registries carry legal entity data, which is authoritative for name and status and often stale for size. Professional networks carry self reported headcount, which drifts. Public listings carry category and location as the business chose to present them. Industry codes add their own trap: a company can be classified under a code that has little to do with what it sells day to day, so category based filters need a sample check before you trust them.

Why it matters for winning clients

Firmographics turn a vague market into a countable one. They let you size an opportunity, split a list into segments worth different messages, and rule out companies you cannot serve before you spend research time on them. They also make results comparable: without stable company attributes you cannot tell whether a campaign worked because of the message or because it happened to hit a better segment.

Example in LeadCanvas

An agency builds a segment from category, city and number of locations, then tests one criterion at a time. Our own July 2026 study of 231,349 deduplicated listings found the share of businesses without a website ranges from 0.7% for car dealerships in the United Kingdom to 61.4% for nurseries in Brazil, and inside Brazil from 11.4% in São Paulo to 75.0% in Parintins. Category alone is not a segment; category plus market is.

Common mistakes

Treating headcount as revenue, when the two diverge wildly across service and product businesses. Trusting an industry code without checking a sample of the companies it returned. Comparing size bands from two providers that define them differently. And building an entire targeting model on fields nobody re checks, which is how a segment slowly stops describing the companies inside it.

The ideal customer profile is written in firmographic fields. Data enrichment is how those fields get filled. Total addressable market is what you can calculate once they are reliable. The links below open those entries and the market sizing tool.

Frequently asked questions

A concise answer before the next action.

How is firmographic data different from technographic data?

Firmographics describe the organization: size, sector, location, structure. Technographics describe the technology it runs: the CMS, the payment processor, the analytics tag. Firmographics tell you whether a company fits your market; technographics often tell you whether a specific integration or migration pitch makes sense.

Why do providers disagree about employee count?

Because they measure different things: legal entity headcount, group headcount, self reported profile numbers, or an estimate from a model. None is universally correct. Pick the definition that matches how you sell, apply it consistently, and treat cross provider comparisons as approximate.

Are industry codes reliable for targeting?

Reliable enough for a first cut and never enough on their own. Codes are assigned once and rarely revised, and companies drift into adjacent activities without updating them. Always look at a sample of the companies a code returns before you build a campaign on it.

Which firmographic fields matter most for a small agency?

Category, city and a rough size band, because those three are observable, stable and enough to decide whether you can serve the company. Revenue and ownership structure are interesting later, in pricing conversations. Collecting fields you will never filter on is inventory, not intelligence.

Do firmographics predict buying intent?

No. They predict fit, which is a different and more durable thing. A company can match your profile perfectly and have no budget this year. Intent signals are what suggest timing, and they belong in a separate column so the two are never confused.

Apply the guide

Turn the criteria into a company search.

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