Firmographics are the facts that describe a company: its industry, employee count, revenue, location, ownership, age and funding stage. They decide which accounts belong on your list before you think about any person, tool or signal.
This guide covers the seven firmographic data fields, which ones you can trust, a worked example with real counts, and how to turn firmographics into a list of named buyers.
What are firmographics?
Firmographics, or firmographic data, are the descriptive attributes of a business: industry, size, revenue, location, ownership, age and growth stage. They are to B2B marketing what demographics are to consumer marketing: the basic profile you use to decide who fits.
Sales and marketing teams use firmographics to write an ideal customer profile, split a market into segments, route territories and size a market. They sit under every other targeting layer: technology, intent and contact data only matter once the company fits.
The 7 firmographic data fields (and how far to trust each)
The seven firmographic data fields are industry, employee count, revenue, location, ownership, company age and funding stage. They are not equally reliable, so use the ones you can verify and treat the rest as hints.
Industry
Industry tells you what a company does. The US standard is the North American Industry Classification System (NAICS), which the Census Bureau describes as “the standard used by Federal statistical agencies in classifying business establishments”. It was adopted in 1997 to replace the older Standard Industrial Classification (SIC) codes.
NAICS groups establishments by how they produce goods or services, not by who they sell to. A company that sells scheduling software to hospitals sits under software, not healthcare. If your buyer is defined by the market a company serves, describe that market in words rather than relying on a code.
Employee count
Employee count is the most useful single firmographic. It is observable, it moves when a company grows, and it tracks budget and buying process well enough for most segmentation. Its weak spots: it may include contractors, it lags reality by months, and a global headcount hides that the buying team might be 30 people in one state.
Know the shape of the market before you pick a band. The US Census Bureau counted 6,395,635 employer firms in 2022, and almost nine in ten had fewer than 20 employees.
Only 21,041 US firms had 500 or more employees, 0.3% of the total, yet they employed 54.1% of everyone working at an employer firm. “Enterprise” is a short list of companies with very large buying committees.
Revenue
Revenue is reliable for public companies and estimated for almost everyone else. Private-company revenue in most data tools is modeled from headcount and industry, so adding it next to employee count adds less information than it seems. Use revenue as a rough band, never as a hard cutoff.
Location
Location sounds simple, but headquarters, registered office and the buyer’s office are three different places. A company registered in Delaware with its headquarters in Chicago may have its finance team in Phoenix. For territory routing and calling hours, use the location of the person you will call.
Ownership, company age and funding stage
Ownership (public, private, private equity backed, nonprofit, government) changes how a company buys: procurement rules, approval chains and fiscal years. Company age hints at process maturity.
Funding stage is the most actionable firmographic and the fastest to go stale. A round raised last quarter signals budget and hiring; the same round 18 months later signals little. Treat it as a timing trigger, and see how to find leads at recently funded companies.
Firmographics vs technographics vs intent data
Firmographics tell you whether a company fits. Technographics tell you what it runs, intent data tells you what it researches now, and contact data tells you who to call and how. Each layer narrows the one before it.
| Data type | Question it answers | Example |
|---|---|---|
| Firmographics | Could this company buy from us? | US software company, 51 to 500 employees |
| Technographic data | Does it run what we integrate with or replace? | Runs Salesforce and HubSpot |
| B2B intent data | Is it researching our category right now? | Research on “spend management” rose this month |
| Contact data | Who decides, and how do I reach them? | VP of Finance, verified email, mobile |
Two related uses build on firmographics. Lookalike companies are accounts that share the firmographics of your best customers. Intent vendors add a timing layer on top; our comparison of intent data providers covers who sells what.
Firmographic segmentation examples
Firmographic segmentation means splitting your market into groups that share company traits and deserve different messages. The best segments are large enough to test and different enough to need their own copy.
Example 1: from 200 million profiles to 3,783 buyers
Ledgerly is a fictional spend-management startup in Austin, Texas. Its best customers are US software companies with 51 to 500 employees, and the person who signs is a finance leader. Here is how each firmographic field narrows the market, using Scalelist people counts from 27 September 2026:
- Location: nearly 200 million US profiles.
- Industry: 4.4 million people work at US software companies.
- Employee count: 556,618 of them work at companies with 51 to 500 employees.
- Seniority: 83,491 are director level or above, in any function.
- Function: 3,783 are finance leaders (director, head, VP or C-level).
Three firmographic fields took the market from nearly 200 million people to 556,618. Two person-level fields, seniority and function, turned it into a call list of 3,783. These are counts of matching profiles, an upper bound, not verified contacts.
Example 2: three segments built on two fields
| Segment | Firmographic definition | Why it holds together |
|---|---|---|
| Emerging | 20 to 100 employees, raised in the last 12 months | Budget exists, processes are new, one champion can decide |
| Core mid-market | 101 to 500 employees, no recent raise | Established process, committee buying, needs an ROI case |
| Enterprise | 500+ employees | Procurement, security review, long cycle, different motion |
Three segments on two fields (headcount and funding) will teach you more than twelve segments on six fields, because each one gets enough accounts to measure. For a full method, see B2B market segmentation with firmographics.
Write the segment as one sentence
Every firmographic segment above fits in one line. Use this pattern for each segment, then count it:
Examples:
Finance leaders at US software companies with 51 to 500 employees
Heads of operations at logistics companies in Texas with 50 to 200 employees
IT directors at US hospitals and health care organizations with 500+ employees
Common firmographic data problems (and the fix)
Most firmographic targeting fails in the same five places. None of them needs a new tool; they need a habit.
Stacking too many fields
Each extra field removes accounts, and each field has its own error rate. If six fields are each 90% accurate, only about half of the right accounts survive all six (0.9 to the sixth power is 0.53). Fix: start with two fields you trust, add one timing trigger, and stop.
Codes that do not match what a company sells
An industry code describes how a company operates, not the market it serves. Fix: describe the industry in plain words, then check 20 matching companies by hand before you scale.
Modeled revenue used as a hard line
A company “at 48 million USD” may really be at 60 million. Fix: use employee count for bands and keep revenue as a soft signal.
Headquarters used for territories
Reps end up calling the right company in the wrong time zone. Fix: route by the buyer’s location, not the company’s registered address.
Firmographics treated as buyers
A perfect account list still has no names on it. Fix: add the person layer (title, seniority, function) as soon as the account definition is stable. The target account list guide shows how.
Best practices for firmographic targeting
Good firmographic targeting is small, explicit and checked by hand. Relevance matters to buyers: 73% of B2B buyers say they actively avoid suppliers who send irrelevant outreach (Gartner, 2025).
- Measure what each field removes. If one field cuts 80% of your list, check 20 of the removed accounts by hand before you trust it.
- Date every count. Firmographics change: companies hire, merge, move and close.
- Size before you buy. Count your segment in accounts and people, then compare it with your team’s capacity; our TAM SAM SOM guide walks through the math.
What to look for in a firmographic data tool
A firmographic data tool is only as good as the fields it can prove and the people it can reach. Look for:
- Plain-English input: you should be able to describe industry, size and location in words and see what the tool understood.
- A free count before you pay, so you can size each segment.
- Clear labels on which fields are observed and which are estimated (revenue especially).
- The person layer in the same place: titles, seniority, verified work emails and mobile numbers.
- Charges only for results found, so a thin segment does not cost you a full list price.
How Scalelist helps you turn firmographics into people
Scalelist, an AI Lead Finder, turns a firmographic sentence into a list of named people with verified work emails and mobile numbers. You describe the buyer, including industry, company size and location; Scalelist’s Lead Finder shows what it understood and how many people match before you spend a credit.
Scalelist is a people search, not a company database: it does not sell revenue estimates, funding data, technographics or intent scores. It covers the firmographics that define a buyer (industry, company size, location) plus the person fields (title, seniority, time in role). For help phrasing the sentence, see how to describe your ICP in one sentence.
Credits are charged only when something is found: 1 per lead, 1 per email and 20 per mobile number. A miss costs 0. Reaching 200 of Ledgerly’s 3,783 finance leaders with lead, email and mobile costs at most 4,400 credits, which fits the Scaler 5K plan at 199 USD a month (see Scalelist pricing).
Describe your best-fit accounts in one sentence and see how many buyers match before you spend a credit.
Describe your buyer in one sentenceFAQ
What are firmographics?
Firmographics are the descriptive facts about a company: industry, employee count, revenue, location, ownership, company age and funding stage. They are the B2B equivalent of demographics. Sales and marketing teams use firmographic data to define an ideal customer profile, segment a market, route territories and decide which accounts belong on a prospect list.
What is the difference between firmographics and demographics?
Firmographics describe organizations; demographics describe people. Company size, industry and headquarters location are firmographics. A buyer’s age, job title or seniority are person-level attributes. In B2B you need both: firmographics pick the right companies, and person-level fields pick the right people inside them.
What are examples of firmographic data?
Common examples are industry (a NAICS code or a plain description such as “logistics software”), employee count (51 to 500), annual revenue (10 to 50 million USD), headquarters location (Denver, Colorado), ownership (private equity backed), founding year (2018) and funding stage (Series B). Employee count and industry are the two most widely used.
Which firmographic field is most reliable?
Employee count. It is observable and updates as a company hires, while revenue for private companies is usually modeled from headcount and industry. Industry comes second when you describe it in plain words. Funding stage is useful for timing but goes stale within months, so always check its date.
How is firmographic data collected?
Firmographic data comes from company registries and public filings, company websites and published profiles, and statistical estimates. Registries are authoritative for legal details but slow. Estimates fill gaps such as private-company revenue. Ask any vendor which fields are observed, which are modeled and when each was last checked.
How many firmographic fields should I use in my ICP?
Two or three. Start with industry and employee count, add location if it matters for calling hours or coverage, then add one timing trigger such as a recent funding round. Every extra field removes accounts and brings its own error rate, so a longer definition often returns a smaller, less accurate list.
Can Scalelist search by firmographics?
Yes, for the firmographics that define a buyer. Scalelist’s Lead Finder understands industry, company size and location from a plain-English sentence, together with title, seniority and time in role, and shows the matching count for free. It does not provide revenue estimates, funding data, technographics or intent scores.
Sources
- US Census Bureau: North American Industry Classification System (NAICS)
- US Census Bureau: Understanding NAICS (Economic Census 2022 guidance)
- US Census Bureau: 2022 SUSB annual data tables
- US Census Bureau: SUSB 2022, US and states, 6-digit NAICS (xlsx)
- Gartner: Sales survey finds 61% of B2B buyers prefer a rep-free buying experience (June 2025)
- Scalelist people count (POST /api/v1/people/count), queried 27 September 2026, 0 credits.
