What is firmographic data?

The standard firmographic fields

Different vendors slice the taxonomy differently, but B2B targeting runs on a short, stable list of company attributes:

Two related layers sit next to these: technographic data (what tools the company runs) and contact-level data (the person, their role, their address). A usable B2B record needs all three, which is why enrichment exists as its own discipline.

Firmographic vs demographic vs technographic

The three data layers

The three terms get used interchangeably, and they should not be. Demographics describe people: age, role, seniority, location. Firmographics describe organizations: the fields in the table above. Technographics describe the tools an organization runs: its CRM, its mail provider, its analytics stack. A cold email campaign filters on firmographics first, then targets a person the demographics say owns the problem, then personalizes and routes using technographics where they matter.

Where firmographic data comes from

Every commercial database assembles roughly the same sources: company registries and filings, websites and careers pages, directories and review platforms, news and funding announcements, and statistical inference to fill the gaps. That last part matters more than vendors advertise - revenue for private companies is usually an estimate, size bands drift as companies hire and cut, and industry codes flatten businesses that straddle categories. Treat every purchased firmographic field as a claim to verify, not a fact - the same discipline we apply to email addresses that arrive marked verified.

How a cold email programme actually uses firmographics

• List definition. The ideal customer profile is written as explicit firmographic bounds - industries in, industries out, size floor and ceiling, geography - before list building starts. If it is not written down, it cannot be audited when results disagree with expectations.
• Segmentation. Campaigns are split along firmographic lines so that copy can name the segment's actual situation. A 40-person agency and a 4,000-person enterprise do not share pains, and copy that tries to address both reaches neither.
• Exclusion. Competitors, existing clients, companies too small to buy, geographies you cannot serve. Exclusion lists are firmographic filters run in reverse, and they do as much for reply quality as any subject line.
• Reading results. When one sequence earns replies and another does not, the first split worth checking is firmographic: which industries and size bands answered. Across the 115 campaigns in our 2026 book, campaign-to-campaign spread (quartiles at 1.38% and 2.97% of contacted leads) is driven far more by who was contacted than by which template was used.

Write your firmographic bounds

Firmographic data decays

Companies move, merge, rebrand, hire past their size band and shut down - so a firmographic record is a snapshot, not a property. This is the same mechanism that makes purchased email lists bounce months after they were verified, applied to company fields instead of mailboxes. The practical rule: filter on fresh data, re-check the fields your targeting depends on at send time where you can, and distrust any pitch built on "records" without a date attached. Our own working answer is to verify at the moment of use - lists are built and verified live for each campaign rather than drawn from a warehouse and trusted.

When this page does not apply

• You need the person, not the company. Role, seniority and location are demographics; the page on role-based email addresses covers who to write to.
• You are buying a data vendor. How to check list quality before you sign, and what verification means, is on lead list building.
• You want the technology layer. Which tools a company runs, and the one field every sender depends on, is on technographic data.
• You are reading this months from now. The campaign-book numbers are a frozen 12 August 2026 extraction; the current benchmark is on the cold email benchmarks page.

How this page was built and checked

The field list and the three-layer model are ReplyLead's own, written from building and verifying lists for outbound programs. The campaign figures come from the frozen 12 August 2026 extraction of ReplyLead's campaign book (115 sending campaigns, 429,763 emails; quartiles computed on the 81 campaigns with at least 500 contacted leads), published with its method on the benchmark page. The statements about where commercial firmographic data comes from are checked against the primary registries and classification schemes listed under Sources. We did not buy or test any data vendor for this page. Last checked 24 September 2026.

Sources and check dates

ReplyLead's own data behind the figures on this page (archived with DOI 10.5281/zenodo.22920956):

1. Cold email benchmarks: the 115-campaign book, 429,763 emails, and the 1.38% / 2.97% quartiles.
2. Lead list building: how lists are built and verified against written firmographic bounds.
3. Why a verified email still bounces: the decay mechanism the page compares firmographic fields to.

Outside primary sources for the claims about registries, filings, industry codes and size bands, each read on the date shown:

1. Companies House: find and update company information (UK registry): a national company registry, one of the sources every commercial database draws on. checked 24 September 2026.
2. OpenCorporates: the open database of companies: an aggregator of official company registries across jurisdictions. checked 24 September 2026.
3. US Census Bureau: North American Industry Classification System (NAICS): the industry codes that flatten businesses straddling categories. checked 24 September 2026.
4. Statistics Canada: NAICS Canada 2022 Version 1.0: the Canadian edition of the same classification. checked 24 September 2026.
5. OECD: enterprises by business size: the headcount bands (1-9, 10-49, 50-249, 250+) that size fields are usually cut on. checked 24 September 2026.