Firmographic Data for B2B: Why It Is Only the First Filter
Firmographic data is the set of company-level attributes, such as industry, size, revenue, location, ownership and performance, that lets you group businesses and pick targets instead of guessing. Most North American teams anchor the industry attribute to NAICS codes. At Milda.ai, where we work with 420 million company records, we see firmographics do their best work as the first filter, not the last.
TL;DR:
- NAICS Canada 2022 Version 1.0 spans 20 sectors through 923 Canadian industries; use broad codes for sizing and granular codes for account targeting.
- Set ICP thresholds from retained, high revenue customers, then verify ownership, parent relationships, and recent growth before scoring accounts to avoid stale rankings.
- Pair firmographic scores with at least one dynamic signal, such as buyer intent or event driven growth, before making high touch outreach.
- Before each campaign or scoring run, refresh records and reconcile supplier industry codes to one NAICS level, while checking headquarters, ownership, size, and location.
Table of Contents
- What firmographic data is and where it sits in segmentation theory
- Common firmographic attributes and examples
- Industry classification standards: NAICS explained
- Step-by-step: use firmographics to build an ICP and prioritize accounts
- Where to find firmographic data and how to keep it reliable
- How we operationalize firmographic data
- Why firmographics are necessary but not enough
- Get firmographic coverage and enrichment in one place
- FAQ
- Sources
What firmographic data is and where it sits in segmentation theory
Think of firmographics as demographics for businesses. Demographics describe people: age, role, income. Firmographics describe the company those people work for. Technographics, a related layer, describes which technologies a company runs. Together they help answer who the buyer is, what kind of company they are in, and what that company already uses.
In segmentation theory, firmographics are the outer, “macro” layer of a nested approach, as described in a University of Twente thesis on segmentation practices. Researchers working in the Bonoma and Shapiro and Wind and Cardozo tradition describe moving inward from observable company traits toward situational factors and the personal characteristics of decision-makers. The same source notes that many practitioners make one recurring mistake: relying on firmographics alone.
Practitioner-level research from Åbo Akademi agrees. Firmographics are the industry standard for B2B segmentation, yet they are only the outer layer, and using them alone ignores purchasing approaches, situational factors and decision-maker traits. A Lund University student paper adds two common criticisms: firmographics may not map to homogeneous needs inside a segment, and they can lack actionability on their own. Use them to narrow the universe, then go deeper.
Common firmographic attributes and examples
OpenStax Principles of Marketing lists firmographics as one of five general B2B segmentation categories, with industry, location, size, legal structure and performance as the common variables. Here is how each one earns its place in a segmentation:
- Industry: Classify with NAICS or SIC codes. Use broad sectors for market sizing and granular codes when your product fits a narrow workflow.
- Company size: Employee count is steadier and easier to verify. Revenue better reflects budget but is often estimated or missing for private firms. Many teams filter on both.
- Geography: Separate headquarters from operating locations. A regional sales team cares where the work happens, while a compliance-driven product may care where the legal entity sits.
- Ownership and legal structure: Parent and subsidiary status decides who signs the contract. Outreach to a subsidiary can stall if purchasing is centralized at the parent.
- Performance and growth: Revenue trends and employee growth hint at budget and momentum. A fast-hiring company often has a problem you can help solve.
- Other common fields: Funding stage, company age and maturity help you tell a scrappy startup from an established buyer.
Take a concrete example. A software vendor selling inventory tools might target manufacturers of a particular size, headquartered in one region, that are growing headcount. Each filter is a firmographic attribute, and together they turn a vague market into a list a rep can work.
Industry classification standards: NAICS explained
For industry classification, most North American firms rely on the North American Industry Classification System. According to Statistics Canada, NAICS is hierarchical and production-oriented, and NAICS Canada 2022 Version 1.0 lists 20 sectors, 99 subsectors, 323 industry groups, 694 industries and 923 Canadian industries.
Production-oriented means establishments are grouped by similarity in production processes and inputs, which is why NAICS suits consistent industrial analysis, as Statistics Canada’s classification notes explain. It is also a cooperative system among Statistics Canada, Mexico’s INEGI and U.S. agencies, built within a single framework so results stay comparable across the three countries, per the NAICS Canada 2022 publication.
For segmentation, the hierarchy gives you a choice of zoom level. Sector-level codes suit market sizing. Industry-group or industry-level codes suit targeting, where “software publishers” and “semiconductor manufacturing” behave very differently even though both are technology-adjacent.
Two habits prevent trouble. First, pick one code level and use it consistently across datasets. Second, map every supplier’s codes to your chosen NAICS level before analysis. Different vendors mix SIC, NAICS and proprietary categories, and a segment built on mismatched codes will quietly include companies that do not belong.
Step-by-step: use firmographics to build an ICP and prioritize accounts
A firmographic ICP is a repeatable recipe, not a hunch. A guide from Fylde Digital describes the same principle for audiences: build segments from first-party data, then activate them. Here is the workflow:
- Study your best customers. Pull the accounts with the highest retention and revenue, and note which firmographics they share.
- Set thresholds. Turn those patterns into an ICP: employee bands, revenue ranges, NAICS codes and regions.
- Enrich and verify. Fill gaps in ownership, parent company and recent growth or decline before you score anything.
- Score and rank. Weight each attribute by how strongly it predicts your wins, add business signals, and sort the list.
Pro Tip: Never send high-touch outreach on firmographic score alone. Pair it with at least one dynamic signal, such as buyer intent or event-driven growth.
A simple scoring checklist might give points for an exact NAICS match, a size band match, a target-region headquarters, and positive headcount growth. The exact weights matter less than keeping them consistent and reviewing them against closed deals each quarter. Teams that skip step three often rank accounts on stale numbers and wonder why reps complain about list quality.
Where to find firmographic data and how to keep it reliable
Common sources include public registries, regulatory filings, commercial data providers, industry directories and company websites. Each has strengths: registries are authoritative on legal facts, filings on financials, websites on what a company says about itself.
Quality problems tend to repeat:
- Stale records: Companies merge, rename and shrink faster than databases update.
- Mixed industry coding: One vendor uses SIC, another NAICS, a third its own labels.
- Headquarters versus branch confusion: An office address may not be where decisions are made.
- Inconsistent revenue reporting: Estimates, fiscal years and currencies differ across sources.
Practical safeguards help. Enrich from more than one source, audit a sample of records by hand, check last-updated timestamps, and set a minimum coverage threshold for any field you filter on. Refresh before every paid campaign or scoring run, and at least check ownership, size and location first. For contact-level checks, our guide to verifying decision-makers with a second source follows the same logic.
How we operationalize firmographic data
We built our platform around company-level depth. Our data coverage spans companies and verified contacts, drawn from multiple sources and enriched with ownership details, financial insights, risk assessments and growth signals. For any company you can open a profile overview, such as this device solutions profile, and see firmographics next to signals in one place. The result is enriched target lists where ownership and growth context sharpen account selection.
Why firmographics are necessary but not enough
Segmentation research treats firmographics as the outer layer, and our own experience matches it: they tell you which companies could buy, not which ones will, or why. Use them to narrow the universe, then add dynamic signals before anyone makes a high-touch call.
— Vilius Stanciauskas, Founder and CEO
Get firmographic coverage and enrichment in one place
If you want broad firmographics with signals and verified contacts, we can help you build and enrich target lists without stitching sources together yourself.
- Explore our data platform for web, extension and API access.
- See how we support sales and GTM research.
- Review options on our pricing page and pick the setup that fits your team.
FAQ
What are some examples of firmographic data?
Common examples are industry, company size, revenue, location, legal structure and performance, the variables OpenStax lists for B2B segmentation. Funding stage and company age are frequent additions.
What is the difference between demographics and firmographics?
Demographics describe individual people, such as age or income. Firmographics describe companies, such as industry, size and location. B2B teams use firmographics to choose which companies to target and demographics-style traits to understand the people inside them.
What is another word for firmographic?
The closest alternatives are “business demographics” and “company profiling data.” They mean the same thing: attributes that describe an organization rather than a person.
What is the difference between firmographic and technographic data?
Firmographic data describes who a company is: industry, size, revenue and location. Technographic data describes which technologies it uses. Firmographics narrow the market, while technographics help you judge fit and timing within it.
Sources
- Statcan
- The influence of a firm’s market segmentation practices on its overall performance
- Företagsekonomiska institutionen