The company matters as much as the contact
A perfect contact at the wrong company still isn't a good lead. Firmographic data flips the question around: instead of starting with a person and hoping the company fits, you start by confirming the company fits, then find the right people inside it. That ordering alone eliminates a lot of wasted prospecting.
It's also the backbone of most lead scoring models that actually work. Behavioral signals, an email open, a page visit, tell you someone is interested. Firmographic signals tell you whether that interest is worth acting on. A 500-person company opening your emails is a very different lead than a five-person company doing the same thing, and a scoring model that can't tell the difference will send your sales team chasing the wrong accounts.
Data fields available
- Company size and employee count: the most common tier-setting signal for account prioritization
- Annual revenue range: useful for qualifying budget capacity before a sales conversation starts
- Industry and SIC/NAICS classification: for segmenting campaigns by vertical
- Ownership type (public or private): relevant for compliance-sensitive or investor-facing offers
- Headquarters or branch location: for territory planning and regional campaigns
How it works
Define your ICP
Tell us the company profile that matters, size, revenue, industry, or a combination.
We match or append
Firmographic attributes are matched to a new list or appended to companies you already track.
Verification
Data is verified before delivery, at our standard accuracy guarantee.
Delivery
Receive company-level data ready to plug into lead scoring or segmentation models.
Who uses firmographic data
A RevOps team building a lead scoring model needs objective company-level signals, not just contact-level guesses.
A marketing team segmenting campaigns by company size needs accurate revenue and headcount data across their database.
A sales leader setting account tiers needs a consistent, data-backed way to separate strategic accounts from long-tail ones.
In each case, the value isn't the data field itself, it's what having it consistently across every record makes possible: rules that actually hold up instead of judgment calls made account by account.
Before you commit
- Scope concerns: this is company-level data. For technology-stack data specifically, see technographic data.
- Accuracy concerns: data is verified before delivery and refreshed on an ongoing basis.
- Integration concerns: firmographic data can be appended to an existing list or included in a new one.
- Compliance concerns: all data is 100% verified and permission-passed.
- Freshness concerns: company attributes like headcount and revenue change over time, records are refreshed rather than compiled once.
Frequently asked questions
What is firmographic data?
Company-level attributes such as size, revenue, industry classification, and ownership type, used to segment and prioritize accounts.
How is this different from technographic data?
Firmographic data describes the company itself, size, revenue, industry. Technographic data describes the technology the company uses. See our technographic data service for that.
Can firmographic data be added to an existing database?
Yes. Firmographic attributes can be appended to records you already have, similar to our data enrichment service, or used to build a new prioritized account list.
What fields are typically included?
Company size, employee count, annual revenue, industry classification, ownership type, and headquarters or branch location.
How is firmographic data used in lead scoring?
It provides the objective company-level signals, size and revenue in particular, that let you rank accounts by fit before a rep spends time on outreach.