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Firmographic data is only as useful as your understanding of what each attribute means and how to apply it. Different fields serve different purposes — some are essential for ICP definition, others are most valuable for scoring models or AI training.

Identity Attributes

Company Name
The legal registered name of the company. Used for record matching, deduplication, and CRM enrichment. High-quality providers maintain both legal names and trade names.

Primary Domain
The company's main website domain. Used as a primary identifier for matching records across systems. More stable than company name, which can change with rebranding.

Legal Entity Type
LLC, corporation, sole proprietor, partnership, nonprofit, government entity. Affects buying process, procurement requirements, and decision-making authority.

Classification Attributes

Industry Code (SIC / NAICS)
The most important firmographic field for B2B targeting. SIC and NAICS codes classify companies by primary economic activity, making it possible to filter precisely by industry without relying on self-reported labels.

Primary and Secondary Industries
Many companies operate across multiple sectors. Secondary industry tags capture this nuance for companies active in more than one area.

Size Attributes

Employee Headcount
Total number of employees. The most widely used size indicator in B2B segmentation. Determines where a company falls on the SMB-to-enterprise spectrum, mapping directly to deal size, sales cycle length, and buying complexity.

Annual Revenue
Total revenue generated in a fiscal year. More directly correlated with deal size than headcount in some industries. Often provided as a range rather than an exact figure for private companies.

Number of Locations
Total office or facility count. Indicates geographic footprint and organizational complexity.

Geography Attributes

Headquarters Country, State, and City
The primary registered business address. Used for territory assignment, regulatory context, and market sizing.

Postal Code
Enables more granular geographic targeting and clustering analysis within countries.

Regional Office Locations
Multi-site firmographic data identifies all office locations beyond headquarters — important for identifying global accounts with buying centers in multiple regions.

Ownership and Structure Attributes

Company Type
Public, private, nonprofit, government, or subsidiary. Each type has distinct implications for the buying process.

Parent Company
If a company is a subsidiary, the parent company ID links it to its corporate hierarchy — critical for enterprise account management.

Ownership Type
Independent, family-owned, PE-backed, VC-backed, or publicly listed. Each ownership type correlates with different financial pressures and buying behaviors.

Status and Growth Attributes

Operational Status
Active, inactive, or dissolved. The most basic data quality filter. High-quality providers flag status changes in near real time.

Year Founded
Company age correlates with organizational maturity, buying process complexity, and product adoption patterns.

Funding Stage
Pre-seed through growth equity or bootstrapped. A strong indicator of budget availability and growth trajectory.

Total Funding Raised
Cumulative capital raised. Combined with funding stage, provides a picture of financial runway and investment appetite.

Headcount Growth Rate
Percentage change in employee count over a defined period. One of the strongest leading indicators of buying intent — companies growing headcount rapidly are likely adding tools and vendor relationships.

Frequently Asked Questions

Which firmographic attributes are most important for sales prospecting?
Industry, employee headcount, annual revenue, and headquarters geography are the four most consistently predictive attributes for B2B sales targeting.

Which firmographic attributes are most valuable for AI model training?
Industry code, headcount, revenue range, headquarters country, headcount growth rate, funding stage, and operational status are the highest-value fields for tabular ML models.

How do firmographic attributes differ from technographic attributes?
Firmographic attributes describe what a company is as an organization. Technographic attributes describe what technology the company uses.

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