Firmographics and Firmographic Data: Definition, Examples, Sources and How to Use Them in Targeting

Of the 6.4 million US companies with paid employees, 89% had fewer than 20 employees and only 21,041 had 500 or more, according to the Census Bureau's Statistics of U.S. Businesses. Company size is one of the firmographics, the facts that describe a business, and a size filter alone decides whether your list is mostly micro firms or mostly enterprises. This guide defines firmographics with examples, lists the 16 firmographic data fields and their sources, compares firmographic data with demographic, technographic and intent data, shows how complete each field is in Spona's records and how it gets into a CRM, and walks through firmographic segmentation step by step. It comes with a free Firmographic ICP Worksheet in Google Sheets that turns your ideal customer profile into a fit score for every account.

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What are firmographics?

Firmographics are the characteristics that describe an organization: its industry, size, revenue, location, age, ownership and growth. They do for companies what demographics do for people, which is why the Wikipedia entry also lists the names firm demographics and emporographics. Firmographic data is the set of those fields for a list of companies, one record per company. In practice, the firmographic meaning most teams work with is simple: the fields that tell you whether a company could buy from you before anyone talks to it.

B2B teams use firmographics in three places:

• Targeting: decide which companies go on a prospect list or into an ad audience.
• Segmentation: group accounts so each group gets its own message, offer and sales motion.
• Scoring and routing: rank inbound leads and send them to the right team, for example mid-market accounts to one rep pool and enterprise accounts to another.

Compliance and finance teams use the same firmographic information for business verification and credit checks; this guide covers the sales and marketing uses. Firmographics describe the company, not the people in it. A job title, seniority or department is contact data, and our guide to what sales data is shows how company fields sit next to contact, pipeline and intent data.

Firmographics examples: the fields that describe a company

Most firmographic data sets carry the same core fields. The values below describe one illustrative company, a 45-person accounting firm in Austin, Texas.

Industry is usually stored as a code. The 2022 North American Industry Classification System (NAICS) has 20 sectors and 1,012 industries in its US version. The first two digits name the sector and the sixth the national industry, so 54 is professional, scientific and technical services and 541211 is offices of CPAs. The older four-digit SIC system is still in use: the SEC tags filers in EDGAR with an SIC code such as 7372, prepackaged software. Data providers often add their own labels, such as "B2B SaaS" or "fintech", that no official code captures.

Company size comes as an exact headcount or, more often, a band. LinkedIn's company size codes run from self-employed and 1 to 10 employees up to 10,001 or more, nine bands in all. Official definitions differ by country and industry. The EU counts a company as an SME when it has fewer than 250 staff and turnover up to €50 million or a balance sheet up to €43 million. SBA size standards in the US are set per NAICS code; most manufacturers with 500 employees or fewer and most other businesses with average annual receipts under $7.5 million qualify as small. When a data provider says "SMB", ask which definition it uses.

Revenue, location, age, ownership, funding and growth complete the record. Revenue is the field most often estimated, location can mean the headquarters or every branch, and growth signals such as hiring or a new office are the closest firmographics get to timing.

Firmographic data fields list: 16 attributes and where each one comes from

A complete firmographic record carries more than the eight fields above: identity fields that make matching possible, funding fields that only some companies have, and activity fields that show what is changing at the company now. Spona measures 14 of the 16 below in its own records, all but ownership and growth signal (fill rates in the accuracy section); the worksheet's Field guide tab repeats all 16 with example values and accuracy notes.

Some guides count executive title and sales cycle stage as firmographic variables. This list leaves them out: a title describes a person and a pipeline stage describes a deal, so they belong in the contact and opportunity records that join to the company fields when you build a list.

Firmographic vs demographic, technographic and intent data

Firmographic data describes the company. The other three data types answer different questions, and most targeting combines at least two of them.

The difference between firmographics and demographics is the unit: a demographic describes a person, a firmographic describes an organization. In B2B, the two meet in the contact record, where the company fields are firmographic and the title, seniority and department describe the person. Technographic data adds a separate layer: the CRM, accounting or e-commerce software a company runs. Firmographics tell you who could buy, and intent data adds the timing: our guide to buyer intent data covers its costs and how to measure whether it works.

Firmographic and technographic data are often bought together, and the difference matters when you filter. A firmographic field such as industry or headcount describes the company itself and changes slowly; technographic evidence describes a tool the company uses, comes from website tags, job ads and integration pages, and carries a last-seen date. In Spona's own records, technology evidence is filled for 38% of companies and is evidence of use, not proof of a contract: a tag on a public website does not by itself establish an internal ERP or CRM installation. Technology, industry and headcount together lead 12% of Spona customer searches, the third most common combination.

Where firmographic data comes from

Firmographic data comes from five kinds of sources, and commercial databases blend all five:

1. Registries and filings. Company registries record legal names, legal forms, registered addresses and incorporation dates. US public companies describe their business in the 10-K, and Item 101 of Regulation S-K asks for a description of human capital, to the extent material, "including the number of persons employed by the registrant." Most private US companies file nothing comparable. In the UK, small companies can choose not to send their profit and loss account to Companies House. OpenCorporates collects records from more than 140 government registries into one open database.
2. Government statistics. The Census Bureau publishes counts of firms by industry, size and state in the Statistics of U.S. Businesses, and its annual County Business Patterns series adds establishments, employment and payroll by industry and employment size down to the county. These are counts, not lists: they size a market but cannot fill a CRM.
3. The company's own channels. Websites, LinkedIn pages, press releases and job ads. Many of these values are self-reported, so they are only as current as the last time someone updated the page. Use LinkedIn information only through authorized means consistent with applicable law and LinkedIn's terms, without unauthorized scraping, automated extraction or bypassing access restrictions.
4. Data providers. They merge the sources above, standardize industries and size bands, model what is missing, such as revenue for private firms, and attach identifiers like Dun & Bradstreet's nine-digit D-U-N-S Number. Our comparison of the best B2B data providers compares 12 of them by the data type each one does best.
5. First-party data. First-party data is what you collect yourself: form fields, sales notes, surveys and billing records. It is the most accurate data about your own customers and the least complete about everyone else.

To check one company by hand, work through the sources in that order: the registry for legal name, form and incorporation date; EDGAR if it is a US public company; its website, LinkedIn page and job ads for size, description and hiring; then a provider record for the standardized industry code and size band. Note where each value came from: that is what a provider's provenance fields do at scale.

How to get firmographic data into your CRM: lists, enrichment, APIs and IP lookup

Firmographic data reaches a sales team in four ways, and most teams use two of them:

1. List exports. You define a segment and the provider returns the matching companies, usually with contacts, as a CSV file or a push into the CRM. This is the route for prospecting lists, and Spona delivers through it: describe the segment in a chat, receive the companies and verified contacts as a list.
2. CRM enrichment and append. You send the accounts you already have, identified by domain or name, and the provider appends the missing fields: industry, size band, revenue band, location, founding year. Append fills the gaps in inbound leads and old records and exposes conflicts, so set a rule for which source wins when two values disagree. Our guide to CRM data enrichment covers the tools, costs and best practices.
3. APIs. An API returns the same fields on demand, one company at a time, so a web form can fill in the industry and size of a lead the moment it arrives. Spona describes API delivery publicly and lists API access on its Expert plan; it has not confirmed a list of native CRM connectors, so check authentication, field mapping and sync direction before you rely on one.
4. IP lookup. Reverse IP lookup matches a website visitor's network address to a company and attaches that company's firmographics, which is how visitor identification tools report that a 200-person logistics company read your pricing page. It names a company, not a person, and only when the address matches a company network. Spona enriches the companies that an authorized visitor tool identifies, adds contacts, and delivers them to a CRM through an available API or CSV; it does not identify the visitors itself. Our guide to identifying anonymous website visitors explains the methods, from reverse IP lookup to identity resolution, and what is legal.

How accurate is firmographic data? Fill rates by field

No firmographic data set is complete or fully current, and the gaps are predictable. Across 10,000 deduplicated company records in Spona's database, identity and location fields are close to complete, while revenue, technology and funding fields are not.

Three things explain the gaps:

• Revenue is often estimated. Private companies rarely publish it, so a revenue band is often a model built from headcount and industry. In Spona's records, each of these fields carries a source and a last-checked timestamp, and revenue and headcount values can be estimates.
• Funding fields are rare by design. The 8% uses all companies as the denominator. Most companies never raise outside money, so a funding filter marks a small slice of the market; make it a must-have only when you sell to funded startups.
• Industry codes follow the primary activity. The NAICS manual classifies an establishment "when its primary activity meets the definition for that industry." An establishment that sells both software and consulting gets one code, and two databases can file the same company under different ones.

Freshness is the other limit. Of the private-sector establishments that opened in the year to March 2015, 79.6% were still operating a year later, 50.2% after five years and 34.7% after ten, according to Bureau of Labor Statistics survival data. New companies keep arriving: the Census Bureau counted 534,947 business applications in one month alone, seasonally adjusted. Four mistakes follow from these gaps.

Firmographic data mistakes the fill rates predict

1. Treating a blank as a no. With revenue filled for 62% of companies, a hard revenue filter drops more than a third of the market, good accounts included. Score blanks as unknown and fill them before you exclude anyone.
2. Using estimates as hard cutoffs. A modeled revenue of $9.5 million and a real one of $10.5 million describe the same kind of company. Use bands that overlap a little and confirm the number on the first call.
3. Trusting one industry label. A company can carry a NAICS code, an SEC SIC code and a provider's own label that do not match. Check a sample of each segment by hand before you launch.
4. Building the list once. About half of new establishments close within five years, per the BLS data above, so last year's list holds closures, mergers and companies that changed size band. Refresh active segments every quarter.

Firmographic segmentation: how to segment and target accounts

Firmographic segmentation means splitting the companies you could sell to into groups by firmographic fields, then giving each group its own priority, message and channel. Firmographic targeting is the choice of which segments get sales time first. Here is how to do both, step by step:

1. Analyze your won deals. Export closed-won, closed-lost and churned accounts with their firmographics, then compare win rate, deal size and sales cycle by industry, size band and region. This is how to analyze firmographic data for targeting: look for the fields where winners and losers differ.
2. Choose three to five fields. Keep the ones that separated winners from losers and that are well filled. Industry, size band and location cover most cases; revenue band works better as a tiebreaker than as a gate.
3. Set bands and must-haves. Write each field as an ideal value, an acceptable value and an exclusion, and mark the must-haves. A company outside your sales countries is excluded, however well it fits otherwise.
4. Size each segment. Count the companies in each segment before you write a message. A segment of 40 companies is an account-based play, not a campaign.
5. Score and tier the accounts. Give each account a fit score from its fields and sort the accounts into tiers: tier A for named outreach, tier B for segment campaigns, tier C for nurture.
6. Add the people and the timing. Firmographics pick the company. Role and seniority pick the contacts, and growth or intent signals pick the moment.
7. Measure by segment and refresh. Track reply, meeting and win rates per segment each quarter, then move the bands.

Firmographic segmentation example: CPA firms in Texas

Say you sell practice management software built for CPA firms with 10 to 99 employees, and your sales team covers Texas. Census data shows how fast three firmographic filters narrow the market:

Three filters cut 6.4 million companies to 471 accounts, few enough to research each one by name. Inside the industry, the size filter did most of the work: 44,254 of the 50,885 CPA firms, 87%, had fewer than 10 employees.

Size also changes how many people you can reach per account. Spona's index of US accounting firms counts about 1.3 verified contacts per company with 1 to 9 staff (115,000 contacts at 90,000 companies), 2.5 at 10 to 49 staff, 5 at 50 to 249 and 10 at 250 or more. Small firms give you many accounts with one decision maker each; larger firms give you fewer accounts with a buying group in each.

More firmographic segmentation examples, one field at a time

The CPA example stacks three fields. Each field also segments a market on its own:

• Industry. Offices of CPAs (NAICS 541211) and tax preparation services (541213) share the four-digit group 5412 but are different segments: 50,885 CPA firms against 19,464 tax preparation firms, and the NAICS manual defines the second as establishments "engaged in providing tax return preparation services without also providing accounting, bookkeeping, billing, or payroll processing services." A filter on the four-digit code would also pull in 45,390 other accounting services firms and 4,484 payroll services firms, 120,085 firms in all, since a firm active in more than one of these industries counts once. Pick the six-digit code and write a message for it.
• Location. The Texas count above, 471 firms, includes every firm with an establishment in the state, headquartered there or not; a headquarters-only rule gives a smaller list. Decide which rule your territory means before you count, and apply the same rule to the data you buy.
• Ownership and funding. Funding splits a market into a small, well-documented slice and everyone else. Spona's index holds about 12,000 US companies that raised outside funding in the previous 12 months, with 48,000 verified contacts, and 85% of matched funded accounts had at least one verified decision maker email. Against 6.4 million employer firms that is a segment of about 0.2%: funding filters lead 9% of customer searches and suit teams that sell to startups.
• Growth signal. Hiring is the closest firmographic to timing; a hiring signal combined with a role and a country leads 6% of Spona customer searches. Signals have a short shelf life: check that the job ad is still open before the account goes into a sequence.

Firmographic targeting: the filters Spona customers combine

Spona classified 1,000 customer searches by their main filter combination:

Location is part of the combinations behind 72% of searches, industry or business category behind 64% and headcount behind 41%. Revenue band leads only 5%, which fits its 62% fill rate: teams filter on the fields they can trust. At least 64% of searches add a person filter (seniority, role, owner or founder) to the company filters, because a firmographic segment is only useful once you know whom to contact in it.

Firmographic segmentation mistakes: too many filters, too few signals

1. Stacking filters until nothing is left. Every filter multiplies the cuts. Three filters took 6.4 million firms to 471 in the example above; a fourth can leave a list too small to test a message.
2. Stopping at firmographics. A perfect firmographic fit with no need, budget or timing is still a cold account: industry, size and location show that a company could buy, not that it needs to buy now. Add a timing signal, such as hiring, funding or intent, before a tier A account goes into a sequence.

Free firmographics worksheet: score accounts against your ICP

The Firmographic ICP Worksheet puts the steps above into one Google Sheet with four tabs:

• ICP worksheet: define your firmographic profile in seven fields (industry, size band, revenue band, location, company age, ownership or funding, growth signal), each with an ideal value, an acceptable value, an exclusion, a weight from 1 to 3 and a must-have flag. A filled example for CPA practice software shows the format.
• Account scoring: score each account 2 (ideal), 1 (acceptable) or 0 (no match) per field and leave unknown fields blank. Formulas turn the scores into a fit score from 0 to 100 and set the tier: excluded when a must-have scores 0, enrich first when a must-have or three or more fields are unknown, tier A from 75, tier B from 50 and tier C below that.
• Field guide: a definition, an example value, sources and an accuracy note for the 16 firmographic fields listed above, with Spona's fill rate where it is measured.
• About: how to use the sheet. Five example accounts on the scoring tab show each status; delete them when you start.

Open the link, choose "Make a copy" and the copy is yours to edit. If you have not written an ICP yet, start with our ideal customer profile template, which covers the people, pains and exclusions around the firmographic profile.

Firmographic data with Spona: where it fits and where it does not

Spona builds firmographic targeting into list building. You describe your ideal customer in a chat, naming industries, company sizes, locations, technologies and roles. Its AI searches more than 40 sources, verifies every lead and delivers qualified leads, starting with free samples. Spona reports 95% lead accuracy and a 90% cut in research time.

Where Spona fits:

• Company and contact data in one step. You get the companies in a firmographic segment and verified contacts in the roles you need, the pattern behind at least 64% of the searches above.
• Provenance on firmographic fields. Each field in the fill-rate table above carries a source and a last-checked timestamp, and the wider inventory is refreshed every 90 days.
• Segments beyond standard B2B. Local businesses by category and city, Shopify stores and IT service providers made up 25% of the searches above.
• Pricing that suits a test. Qualified leads cost $0.32 to $4 each and bulk leads $0.01 to $0.09. There is a free plan, and a new ICP costs 1,000 setup credits, about $8 to $10. Check a sample against your worksheet before you buy more.

Where it does not:

• Revenue and funding detail. Revenue band is filled for 62% of companies and funding for 8%. If your ICP depends on exact revenue, filings and audited accounts are the better source.
• Corporate hierarchies and credit data. The firmographic fields Spona measured above do not include parent and subsidiary trees or business credit profiles; Dun & Bradstreet builds both around its D-U-N-S Number.
• Website visitor identification. Spona enriches the companies and contacts you choose; it does not identify anonymous visitors to your website.
• Enterprise switching. Some teams need documented integrations before they change suppliers. As one RevOps director at a company of 200 to 1,000 people told Spona: "We need documented integrations, security evidence and predictable service levels before changing suppliers."

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Firmographics FAQ

What is the difference between demographics and firmographics?

A demographic describes a person, such as age, income or job title; a firmographic describes an organization, such as industry, headcount or location. B2B lists need both: firmographics choose the company, and contact data chooses the person to reach in it.

What does firmographic segmentation mean?

Splitting a market into groups of companies by firmographic fields, such as industry, size band and location, so each group gets its own priority and message; in the CPA example above, three filters take 6.4 million US firms down to 471 accounts.

Where does firmographic segmentation sit among the four types of market segmentation?

Marketing textbooks usually name four bases for segmenting consumer markets: demographic, geographic, psychographic and behavioral. Firmographic segmentation is the B2B counterpart of the first two, applied to companies instead of people. In the nested approach that Benson Shapiro and Thomas Bonoma set out in Harvard Business Review in May 1984, company demographics such as industry, size and location form the outer nest, ahead of operating variables, purchasing approaches, situational factors and the personal characteristics of buyers. Intent and usage data are the closest B2B counterpart of behavioral segmentation.

What is another word for firmographics?

Firm demographics, or the older industrial marketing term emporographics. Many sales teams call them company data or account data.

Is firmographic data personal data under GDPR?

Mostly no. Recital 14 of the GDPR says the regulation does not cover data about legal persons, "including the name and the form of the legal person and the contact details of the legal person." The protection applies to natural persons, so a record that names a person, such as a contact's work email, is still personal data. The UK's ICO adds that information about sole traders, partners and company directors may be personal data when it relates to them as identifiable individuals.

How often should firmographic data be refreshed?

Every quarter for active segments, and before every large campaign. About one in five new establishments closes within its first year, per the BLS data above. Spona refreshes its wider inventory every 90 days and verifies an email again before a send if the last check is more than 30 days old.

Where can you download a free firmographic dataset?

Public datasets give you counts and public-company facts, not a list of private companies with contacts. The Census Bureau's Statistics of U.S. Businesses and County Business Patterns count firms and establishments by industry, size and geography. The SEC's Financial Statement Data Sets hold the numeric data from the face financial statements in companies' XBRL filings, one archive per quarter since 2009. Companies House publishes a Free Company Data Product, a monthly snapshot of basic data on every live company on the UK register, and OpenCorporates holds records from more than 140 registries. Each fills a sizing or verification step; none replaces a prospecting list.

Which firmographics questions belong in a B2B survey?

Industry, employee count, annual revenue and location, with size and revenue asked as ranges so respondents can answer without looking anything up. SurveyMonkey's example questions use bands of 1 to 49, 50 to 999, 1,000 to 4,999 and 5,000 or more employees. Match your survey bands to the bands in your CRM so the answers can be compared.

What is the best platform for firmographic data?

It depends on the field you need most: registries and filings for legal and financial facts, Dun & Bradstreet for corporate family trees, and a sales data provider for firmographics plus contacts. Before you choose, ask any provider four things: the fill rate for the fields you filter on, whether each value carries a source and a last-checked date, how often each source is refreshed, and whether you can test a sample of your own segment before paying. Our list of the best B2B data providers compares them by data type and price.