[GTM glossary](/glossary.md) B2B data

Data & Enrichment

# B2B data

In short

B2B data is information about businesses and the people who work in them, collected so that sellers and marketers can identify, reach, and understand potential buyers. It covers company attributes, contact details, technologies used, and events that suggest buying interest.

It differs from consumer data in scale and structure: there are fewer buyers per deal, several people influence each decision, and the key identifier is the company, usually its web domain.

## Main types of B2B data

* **Firmographic:** Industry, size, revenue, location, and ownership.
* **Contact:** Names, job titles, seniority, email addresses, and phone numbers.
* **Technographic:** Software and tools a company uses.
* **Intent and signal:** Behavior and events such as hiring, funding, or content research that hint at timing.
* **Relationship:** Hierarchy, customers, partners, and competitors.

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## Where B2B data comes from

### First-party

Collected by you from forms, product use, and sales activity.

### Third-party

Compiled by outside providers from public sources, partnerships, and contributors.

### Public sources

Company websites, filings, job boards, and news.

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## How teams use it

Good data turns a guess into a process. Marketers build audiences, SDRs build prospect lists, and RevOps scores and routes leads. Say a team defines its ICP as mid-sized software firms in two regions using a specific CRM. B2B data lets them turn that sentence into a filterable list, find the right roles at each company, and decide who to contact first.

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## What makes B2B data good

* **Accuracy:** Values are correct.
* **Coverage:** It includes enough of your target market.
* **Freshness:** It reflects the current state, since people change jobs and companies change.
* **Compliance:** It was collected and is used in line with applicable privacy rules. This is not legal advice.

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## Common mistakes

* **Buying volume over fit:** A large list of the wrong companies wastes sequences.
* **Skipping validation:** Unverified emails hurt deliverability and sender reputation.
* **Letting it decay:** Without refreshes, records age quickly.

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## B2B data FAQs

**What is B2B data?**

B2B data is information about companies and the professionals who work at them, including firmographics, contact details, technologies used, and buying signals. Sales and marketing teams use it to find, segment, and reach potential business customers.

**What are examples of B2B data?**

Examples of B2B data include a company industry and employee count, a decision-maker job title and work email, the software a company uses, funding events, and hiring activity. Each helps decide who to target and when.

**How is B2B data different from B2C data?**

B2B data centers on companies and professional roles, with several stakeholders per purchase and the web domain as a key identifier. B2C data centers on individual consumers, their demographics, and personal purchase behavior.

**How do you keep B2B data accurate?**

Validate emails, deduplicate records, enrich missing fields, and refresh on a schedule, since people and companies change constantly. Assign an owner for data quality and track error rates, such as email bounces, over time.

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## More related phrases

* [B2B database](/glossary/b2b-database.md)
* [B2B data enrichment](/glossary/b2b-data-enrichment.md)
* [Data coverage](/glossary/data-coverage.md)

## Similar phrases

* [Company data](/glossary/company-data.md)  
Company data is information about businesses, such as industry, size, revenue, location, and technology, that sales and marketing teams use to find, segment, and prioritize target accounts.
* [Contact data](/glossary/contact-data.md)  
Contact data is information about individual people, such as name, job title, work email, phone number, and company, that sales and marketing teams use to reach buyers.
* [Firmographic data](/glossary/firmographic-data.md)  
Firmographic data is the set of company attributes such as industry, size, revenue, and location that B2B teams use to segment, score, and target accounts.
* [Data quality](/glossary/data-quality.md)  
Data quality describes how well a dataset is fit for its intended use, measured by traits such as accuracy, completeness, consistency, timeliness, and uniqueness.
* [Third-party data](/glossary/third-party-data.md)  
Third-party data is information collected by an outside organization and sold or licensed to others, such as company lists, contact details, and intent signals used to find and prioritize prospects.