Firmographic Data Explained (2026): Fields, Sources, Use Cases

Firmographic data is the set of attributes that describes a company the way demographic data describes a person: industry, size, revenue band, geography, ownership structure, and age. It is the foundation of every B2B segmentation exercise, every ICP definition, and every account scoring model. If you sell to businesses, firmographic data is what tells you which businesses to talk to first, which ones to ignore, and which ones to route to enterprise versus SMB motions.

But there is a quiet problem with most firmographic stacks in 2026. They were built for venture-backed software companies, mid-market manufacturers, and Fortune 5000 buyers. They are excellent at telling you that Acme Corp has 412 employees, raised a Series C, and uses Salesforce. They are nearly useless at telling you whether the dental clinic on Rue Saint-Honore has good reviews, took new photos last month, and looks like an active business worth calling. If your ICP includes local businesses — agencies, restaurants, clinics, gyms, contractors, retailers — the standard firmographic vendors will leave you with empty fields and stale rows. This guide covers what firmographic data is, the fields that actually matter, where it comes from, and how local-business firmographics from sources like Google Maps fill the gap that ZoomInfo, Cognism, and Apollo were never designed to close.

What firmographic data is

Firmographic data describes the company itself, not the people inside it and not the technology it runs. The standard taxonomy splits B2B data into four buckets: firmographic (the company), demographic and contact (the people), technographic (the tech stack), and intent (behavioural signals). Firmographic data is the slowest-moving of the four. A company's industry code rarely changes. Its headcount drifts a few percent per quarter. Its headquarters address stays put for years. That stability is exactly what makes firmographics the right anchor for segmentation: you build your ICP on attributes that will still be true six months from now.

The classical definition comes from direct-mail and trade-show marketing in the 1970s, when ZIP code, SIC code, and employee count were the only filters available. The modern definition is broader. It covers any attribute of a legal or operating entity that helps you decide whether the entity belongs in your target market.

The essential firmographic fields

Six fields do most of the work in real-world targeting.

Industry classification is the first filter on almost every ICP. NAICS and SIC codes are the official standards in North America; NACE is the European equivalent. In practice, vendors layer their own taxonomies on top because the official codes are too coarse — "professional services" covers everything from a solo accountant to a 5000-person consultancy.

Company size, usually expressed as employee headcount, is the second filter. It is also the most-corrupted field in the industry, because LinkedIn-scraped headcount and registry-filed headcount can differ by 50 percent or more. Revenue band is closely related and is often modelled rather than measured for private companies.

Geography matters at three levels: country (for tax, language, and compliance), region or state (for territory assignment), and city (for local-market sales motions and field events).

Founding year tells you whether you are talking to a venture-backed startup, an established mid-market firm, or a multi-generational family business. It correlates with risk tolerance, sales cycle length, and budget.

Public versus private ownership changes the entire sales motion. Public companies have predictable budget cycles, mandatory disclosures, and procurement processes. Private companies can move faster but are harder to research.

A handful of secondary fields show up in advanced segmentation: legal entity type, parent-subsidiary relationships, funding stage and total raised, headquarters versus branch designation, and language of operation.

Where firmographic data comes from

The supply chain has three layers.

The base layer is government and registry data. Companies House in the UK, the SEC in the US, INSEE and the RCS in France, the Handelsregister in Germany. Registries are authoritative for legal name, registration number, founding date, and registered address. They are slow, formal, and incomplete on operational details.

The middle layer is the open web. Company websites, LinkedIn pages, press releases, job boards, news archives, and increasingly Google Maps and Apple Maps profiles. This is where headcount estimates, technology signals, and hiring trends come from. It is also where most freshness lives — a website redesign or a new "About" page is often the first sign that a company is repositioning.

The top layer is the vendor aggregation business. Companies like ZoomInfo, Cognism, Dun and Bradstreet, and Apollo combine the first two layers, add their own contributory networks (users uploading their CRMs in exchange for credits), and sell the result. The quality of a firmographic dataset is mostly determined by how aggressively the vendor reconciles conflicts between the layers and how often they re-verify each row.

For a deeper walk through the enrichment workflow that turns raw firmographics into usable records, see the Lead enrichment complete guide 2026.

Firmographic data for local businesses

Here is the gap. Traditional firmographic vendors were built around legal entities that file paperwork and have LinkedIn pages. Most local businesses do neither in any useful way. A neighbourhood pizzeria, a three-chair barbershop, an independent physiotherapist, a small accounting firm — these businesses exist, they spend money, they buy software and services, but they barely register in the classical firmographic stack.

What does describe them well is a different set of fields, most of which live on Google Maps and similar local indexes:

Rating and review count are the local equivalent of revenue band. A clinic with 4.7 stars and 600 reviews is a different business from one with 3.2 stars and 12 reviews, even if both have the same NAICS code and headcount.

Recent review keywords reveal what the business actually does and how customers describe it. A "restaurant" that gets reviews mentioning private events, corporate catering, and wine pairings is a different prospect from one whose reviews mention takeaway and lunch specials.

Opening date — when the listing first appeared on Maps — is a proxy for founding year that works even for businesses that never filed a press release.

Photo count and recency are the most underused freshness signal in B2B data. A business that uploaded twelve photos last month is operating, marketing, and probably hireable. A listing with four photos from 2019 is a coin flip.

Hours of operation, claimed-versus-unclaimed listing status, and the presence of a website or booking link round out the picture. Together these fields tell you more about a local business than any registry filing ever will. The full inventory is documented in Google Maps data fields you can extract.

Use cases: ICP, segmentation, scoring

Firmographic data drives three workflows.

ICP definition is the upstream exercise: which firmographic profile correlates with your best customers? You answer this by looking at closed-won deals, finding the median values of each field, and drawing a box around them. Industry, size, geography, and one or two local signals (rating, review count) are usually enough.

Segmentation is the operational follow-on: you split your ICP into tiers — strategic, mid, SMB — and assign different sales motions, pricing, and content to each. Firmographic fields are the cleanest way to do this because they do not depend on behaviour you have not yet observed.

Scoring is the prioritisation layer. Each prospect gets a number based on how closely their firmographics match your ICP, often combined with intent and engagement signals. The full model, including how to size the resulting market, is covered in the ICP TAM SAM SOM complete guide 2026.

Top firmographic data providers

ZoomInfo is the enterprise default in North America. Largest contributory network, deepest coverage of mid-market and above, premium pricing, weak on local businesses and non-English markets.

Cognism is the European challenger. Strong on EU compliance, GDPR-ready phone-verified contacts, good firmographic coverage in the UK, DACH, and France. Pricing is enterprise-tier.

Apollo positions as the all-in-one for SMB and mid-market sellers. Lower entry price, large database, broader but shallower coverage. Quality varies by region.

Dun and Bradstreet is the legacy reference for credit and risk-flavoured firmographics. Authoritative DUNS numbers, strong on private-company financials, slow to refresh.

None of the four cover local businesses well. That is not a criticism — it is a market segmentation. Their customers are selling to companies with HR departments, not to companies with one owner and a Maps listing.

How MapsLeads delivers local-business firmographics

MapsLeads is the firmographic source for the segment the enterprise vendors leave empty. The workflow is built around five steps.

Search is where you start. You open a new search, enter a query and a city — for example, "dental clinic" in Lyon — and MapsLeads returns the matching Google Maps listings with the base firmographic fields already populated: name, address, phone, website, category, rating, review count, hours, and coordinates. This costs one credit per result and gives you the equivalent of a NAICS-tagged, geo-tagged, size-bracketed firmographic record for a local business.

Reputation enrichment is the upgrade that turns a base record into a scoring-ready row. For one additional credit per result, MapsLeads pulls the breakdown of the rating, the recent review keywords (so you know what customers are actually praising or complaining about), the photo count, and the recency of those photos. This is the local equivalent of revenue and growth signals — businesses that get reviews this month and post photos this month are operating businesses worth calling.

Groups are how you organise enriched results into ICP tiers. You can save a search as a group, tag it with your segmentation labels, and export the rows to CSV or push them to your CRM. Groups also let you re-run a search later to detect new businesses that have appeared in the area.

The credit model is transparent. Base search costs 1 credit per result. Contact Pro enrichment (decision-maker email and phone) adds 1 credit. Reputation enrichment adds 1 credit. Photos enrichment adds 2 credits. You only pay for the depth you need. Pricing tiers are listed on the Pricing page.

Common mistakes

Treating headcount as a single field. A 50-person company with 5 in sales and a 50-person company with 30 in sales are different prospects.

Trusting one source. Registries lag, websites lie, LinkedIn inflates. Triangulate at least two sources for any field that drives scoring.

Ignoring freshness. A firmographic record older than nine months is a hypothesis, not a fact. Re-verify before campaigns.

Forcing local businesses through enterprise schemas. If your ICP includes companies that live primarily on Google Maps, build the schema around rating, reviews, photos, and hours, not around revenue bands.

Checklist

• Define the six core fields your ICP requires.
• Add two to four secondary fields that drive scoring.
• For local-business segments, include rating, review count, photo recency, and opening date.
• Document the source for each field.
• Set a re-verification cadence — monthly for active campaigns, quarterly for the rest.
• Reconcile conflicts with a documented rule, not case by case.

FAQ

What is firmographic data? Firmographic data is the set of attributes that describes a company as an entity: industry, size, revenue, geography, age, and ownership. It is to companies what demographic data is to people, and it is the foundation of B2B segmentation, ICP definition, and account scoring.

Firmographic vs technographic data — what is the difference? Firmographic data describes the company itself. Technographic data describes the technology the company uses. A firmographic record tells you that a company is a 200-employee retailer in Paris. A technographic record tells you it runs Shopify, Klaviyo, and Gorgias. Both are useful; they answer different questions.

Which is the best firmographic data provider? There is no universal best. ZoomInfo wins on North American mid-market and enterprise depth. Cognism wins on European compliance. Apollo wins on price for SMB sellers. For local businesses — clinics, restaurants, agencies, contractors — none of the three are the right tool, and a Google-Maps-native source like MapsLeads will be more accurate and far cheaper.

How fresh is firmographic data? It depends on the field and the source. Registry data refreshes quarterly or slower. Headcount estimates from web sources refresh weekly to monthly. Local-business signals from Google Maps — reviews, photos, hours — can change daily. Treat any record older than nine months as needing re-verification before you act on it.

Do I need firmographic data if I already have intent data? Yes. Intent data tells you which companies are showing buying signals right now. Firmographic data tells you which of those companies you actually want as customers. Without firmographics you will waste cycles on intent signals from companies that will never close.

Build your firmographic foundation

Firmographic data is only useful if it is complete for the segment you sell to. If that segment includes local businesses, the enterprise vendors will leave you short. MapsLeads fills the gap with Google-Maps-native firmographics, transparent credits, and a workflow built for sellers who actually pick up the phone. Get started and run your first search free.