What are firmographics?
Firmographics (firm + demographics) are descriptive attributes of an organization. Where consumer marketers segment people by age, income or location, B2B teams segment companies by industry, number of employees, revenue, geography, legal structure, ownership, age and growth stage. Firmographic data is the set of those attributes for a list of companies.
Firmographics answer the question "could this company be a customer?" They are the backbone of an ideal customer profile, of territory planning and of most account lists. They do not answer the question "is this company likely to buy now?" That is the job of timing data such as buying signals and intent data.
Firmographics are also the shared language between teams. Marketing uses them to plan campaigns, sales to divide territories, finance to forecast and product to decide which segments to build for. When everyone means the same thing by "mid-market SaaS", planning gets much easier.
Because firmographics change slowly, they are easy to collect and store. That is also their limit: two companies with identical firmographics can be in completely different situations this month.
The main firmographic attributes
| Attribute | What it describes | Example | Typical reliability |
|---|---|---|---|
| Industry | What the company does, often as a classification code | NAICS 541512, Computer systems design services | Good at a broad level, weaker for niche or multi-product companies |
| Employee count | Number of people, usually as a range | 51 to 200 | Approximate; lags hiring and layoffs |
| Revenue | Annual revenue, usually as a range | $10M to $50M | Reliable for public companies, often estimated for private ones |
| Location | Headquarters and other offices | Austin, Texas; office in London | Good for headquarters, patchy for branches and remote teams |
| Legal structure and ownership | Corporation, LLC, subsidiary, private equity-backed, public | Subsidiary of a larger group | Good from registries, can be out of date after acquisitions |
| Company age | Years since founding or registration | Founded 2021 | Good when taken from official registration |
| Funding stage | Bootstrapped, seed, Series A, and so on | Series A, last round 2026 | Good for announced rounds, incomplete for quiet ones |
| Business model | B2B or B2C, subscription, services, marketplace | B2B SaaS, annual contracts | Often inferred from the website; needs checking |
| Growth | Headcount or revenue trend | Headcount up over the past year | Indicative; depends on the source's update frequency |
Where firmographic data comes from
- Official registries and filings. Business registrations, and for public companies, filings such as those available through the SEC's EDGAR system (SEC: accessing EDGAR data). Reliable but limited in scope.
- Public statistics. Government statistics describe markets rather than individual companies, but help size segments. The Census Bureau's Business Formation Statistics, for example, track new business applications.
- Company websites and announcements. Products, customers, offices and team pages; useful for business model and recent changes.
- Commercial data providers. Databases that combine many sources into searchable company records, with varying coverage by region and company size; see Apollo vs ZoomInfo.
- Professional profiles and job boards. Indicators of headcount, functions and growth.
- Your own CRM. Customer and deal data is the most valuable firmographic source of all, because it tells you which segments actually buy.
Firmographic vs technographic vs intent vs behavioral data
B2B teams usually combine several types of data. Each answers a different question, and confusing them leads to poor targeting.
| Type | Question it answers | Examples | Changes |
|---|---|---|---|
| Firmographic | Could this company be a customer? | Industry, size, revenue, location, stage | Slowly |
| Technographic | What does the company use today? | CRM, website platform, cloud provider; see technographics | Occasionally |
| Intent | Is the company researching a topic like ours? | Topic research activity, review site visits; see intent data | Weekly |
| Behavioral and event signals | Did something just happen that creates a need? | A hire, a launch, a funding round, a public request; see buying signals | Daily |
How to use firmographics
Defining your ideal customer profile
Start from your best customers, not from the market. Group them by industry, size and model, and look for the segments where deals closed fastest, stayed longest and cost least to serve. Those firmographic ranges become the first lines of your ICP. Our ICP template walks through it with a worked example.
Segmentation
Firmographic segmentation splits the market into groups that need different messages, offers or channels: for example, 10 to 50-person agencies versus 200-person software companies. Each segment gets its own reasons for writing and its own proof. Keep segments few enough that each one gets real attention.
Territories and routing
Location, size and industry are the usual keys for assigning accounts to sales owners. Clean firmographics prevent two reps from working the same company and stop small accounts from landing with enterprise reps.
Scoring
Firmographics usually form the "fit" half of a lead scoring model. Combine them with a timing component so that accounts which fit and show a recent signal rise to the top.
Building a firmographic target list, step by step
Pull your customer list
Export current and past customers with deal size, sales cycle length and retention. Mark the ones you would happily sign again.
Describe them firmographically
Add industry, employee range, revenue range, region, business model and stage to each record.
Find the clusters
Look for the ranges where good customers concentrate. Two or three clusters are usually enough to start.
Write the filters
Turn each cluster into explicit filters, plus exclusions such as competitors, existing customers and segments you cannot serve.
Build the list
Apply the filters to a data source, then check a sample of 20 to 30 companies by hand to catch misclassified records.
Add timing
Watch the list for signals so you know which accounts to contact first, and refresh the list every quarter.
Firmographic segments that often work in B2B outbound
The segments below are illustrations of how firmographics combine with a buyer and a trigger. Your own customer data should decide which ones matter for you.
| Segment (firmographics) | Typical buyer | Trigger to watch | Message angle |
|---|---|---|---|
| B2B SaaS, 20 to 100 employees, seed to Series A | Founder or head of growth | First marketing or sales hire | Set up the motion before the hire starts |
| Marketing agencies, 10 to 50 employees | Agency owner | New service line or new office | Fill the new capacity with the right clients |
| Professional services firms serving startups | Managing partner | Startup clients raising rounds | Be in place when clients grow |
| Multi-location service businesses | Operations lead | New location announced | Avoid the problems of the first weeks |
| Software companies after an acquisition | Head of the integrated team | Acquisition announcement | Tools and processes that need to merge |
| Fast-growing companies by headcount | Department head | Several open roles in one team | Scale the team's process before it breaks |
Reach companies with a reason to buy this week
Startories finds the buying signal, verifies the decision-maker and runs the outreach until they book a call.
A worked example: fit plus timing
Suppose you sell onboarding software to B2B SaaS companies with 50 to 300 employees in North America. Here are three accounts with invented details, scored on fit (firmographics, out of 50) and timing (signals, out of 50):
| Account | Firmographics | Fit | Recent signal | Timing | Total |
|---|---|---|---|---|---|
| A: 120-person B2B SaaS, Toronto | Perfect match on industry, size and region | 48 | None in the last 90 days | 5 | 53 |
| B: 80-person B2B SaaS, Denver | Strong match | 44 | Hiring a head of customer onboarding; public post asking for onboarding tools | 45 | 89 |
| C: 600-person IT services firm, Chicago | Too large, different model | 15 | Hiring a customer success manager | 25 | 40 |
How firmographics change the message
Firmographics do more than decide who is on the list: they shape what you say. The same product solves a different problem depending on the size and model of the company receiving the email.
Take an invented contract management tool. To a 15-person agency, the message is about not losing signed documents in email threads and getting paid faster. To a 150-person software company, it is about approval workflows between sales, legal and finance. To a 1,000-person enterprise, it is about audit trails and access control. The product is the same; the problem the reader recognizes is not.
Write one core message per firmographic segment, then personalize the first line around the event that triggered the email. That combination, segment-level relevance plus account-level timing, is what makes outreach read as written for the person receiving it.
Firmographics and privacy
Firmographic data describes companies rather than people, so it raises fewer privacy questions than contact data. The line blurs for very small businesses and sole traders, where company information can identify an individual. Once you attach a person's name and email to an account, data protection and email rules apply to that contact. Keep firmographics and contact data in separate fields, record where each came from, and follow the rules of the countries you contact.
Why firmographics alone are not enough
A list built only on firmographics treats every matching company as equally ready. In practice, at any moment only a small share of a market is actively looking for a solution. Writing to the rest produces silence at best and spam complaints at worst, which damages deliverability for the emails that matter.
Firmographics can also mislead in the other direction. A company outside your usual size range may still be a great prospect if a new team inside it owns exactly the problem you solve. Use firmographic filters to set priorities, not as walls that hide every exception.
Timing data closes the gap. Events such as hiring, funding, expansion or a complaint about a competitor show which fitting companies have a reason to act now. This is the idea behind signal-based outbound: start from the event, then check the firmographic fit.
Firmographics in account-based marketing
Account-based marketing (ABM) picks a defined set of target accounts and coordinates sales and marketing around them. Firmographics usually decide which accounts make the list and which tier they belong to: the largest, best-fitting accounts get personal attention, the next tier gets lighter, segment-level campaigns.
The same caution applies: a tiered list based only on firmographics will spend attention on accounts that are not ready. Teams that layer timing on top, moving accounts up a tier when a relevant event happens, get more out of the same list.
Firmographic data quality: limits and a hygiene checklist
No firmographic source is perfect. Employee counts lag reality, revenue for private companies is usually estimated, industry codes miss companies that sell several things, and acquisitions change ownership overnight. Treat firmographic data as a strong hint, check it on the accounts that matter, and keep it fresh.
- Record the source and date of every firmographic field you rely on.
- Refresh key fields on active accounts every few months.
- Merge duplicate company records and link subsidiaries to their parent, so two reps never work the same group without knowing it.
- Normalize values: one format for size ranges, countries and industries.
- Check a random sample by hand each quarter and note the error rate by source.
- Use your own customer data to validate which ranges actually convert, and drop ranges that never do.
- Do not over-segment: ranges that are too narrow amplify data errors.
- Flag accounts whose firmographics changed recently, such as a merger, a big hiring wave or a move, because they often need a new look.
- Keep a short written definition of every field so everyone fills it in the same way.
Common firmographic segmentation mistakes
- Copying a competitor's ICP. Their best segment may not be yours. Start from your own customers.
- Using industry codes literally. A "software" code covers companies with very different buyers. Read the website before writing.
- Treating size as budget. A 500-person company with no budget owner for your problem is a worse prospect than a 60-person one with a new hire responsible for it.
- Ignoring business model. B2B and B2C companies in the same industry buy very differently.
- Forgetting timing. Firmographic fit without a recent reason to buy is the main cause of ignored outreach.
- Never revisiting the segments. Markets move and your product changes; review which segments convert at least twice a year.
How Startories uses firmographics
Startories starts from the event and then applies firmographics. It watches Reddit, X, Product Hunt, directories and search for buying signals, matches each one to a real company, and checks it against your ideal customer profile (industry, size, model and other criteria you set). Each lead gets a score with the reasons written out, so you can see both the fit and the timing behind it.
Qualified leads then get a verified decision-maker, a first email built on the event, and follow-ups that stop on reply. See AI lead generation for how leads are qualified, or pricing for plans.
Frequently asked questions
What are firmographics?
Descriptive attributes of a company, such as industry, number of employees, revenue, location, ownership, age and funding stage. They are the B2B equivalent of demographics.
What is firmographic data used for?
Building an ideal customer profile, segmenting the market, assigning territories, routing leads and scoring the fit of accounts. It works best combined with timing data such as buying signals.
What is the difference between firmographic and technographic data?
Firmographic data describes what a company is (industry, size, location). Technographic data describes what it uses (software, platforms, infrastructure). Both describe fit; neither shows timing on its own.
Where can I get firmographic data?
From official registries and filings, public statistics, company websites, professional profiles, commercial data providers and, most valuably, your own CRM data about who buys from you.
How accurate is firmographic data?
Broad attributes such as industry and headquarters are usually accurate. Employee counts lag, private-company revenue is often estimated, and ownership can change after acquisitions. Check key accounts and refresh data regularly.
What are examples of firmographics?
Industry (for example a NAICS code), number of employees, annual revenue, headquarters location, number of offices, legal structure, ownership, year founded, funding stage and business model.
Are firmographics enough to build an outbound list?
They are enough to decide who could be a customer, not who is ready to buy. Add timing data, such as recent hires, launches or public requests, to decide who to contact first.
What is firmographic segmentation?
Splitting the market into groups of companies with similar firmographics, for example by size and industry, so each group gets messages, offers and channels suited to it.