--- title: "What is B2B data? Types, sources and uses" description: "B2B data is information about companies and the people who work there. Learn the main types, where it comes from, how fresh it is and how it is used." canonical: https://www.leadsets.ai/answers/what-is-b2b-data updated: 2026-11-09 --- # What is B2B data? B2B data is information about businesses and the people who work at them, used for sales, marketing and research. It covers firmographics (industry, headcount, location), contact data (names, job titles, work emails, phone numbers), technographics, intent and hiring signals. Teams get it from data providers, APIs or their own CRM to find prospects, enrich records and time outreach. | Type | What it covers | Example fields | | --- | --- | --- | | Firmographic | Facts about a company | Industry, headcount band, location, domain | | Contact | Facts about a person at a company | Name, job title, seniority, work email, phone | | Technographic | Software a company uses | CRM, analytics stack, cloud provider | | Intent | Signs a company is researching a topic | Topic surges, content consumption | | Hiring and web signals | What a company publishes about itself | Open roles, products, customers named | ## What counts as B2B data B2B (business-to-business) data is any information that describes organisations and the professionals who work for them. It is the raw material behind prospect lists, account research, CRM records and market analysis. The defining feature is that it is about people in their work role: a sales leader's title and work email are B2B data, while the same person's home address or shopping habits are not. Most B2B data falls into two layers. The company layer answers "which accounts should we care about?" The people layer answers "who at those accounts should we talk to, and how do we reach them?" A useful dataset links the two, so every person record points to a current employer and every company record can list its relevant contacts. ## The main types of B2B data The table above summarises the common categories. In more detail: - **Firmographic data** describes a company: legal name, domain, industry, employee count, location and sometimes funding or revenue band. It is used to define and filter an ideal customer profile. - **Contact data** describes a person: full name, job title, function, seniority, employer, work email and in some datasets phone numbers and a professional profile URL. - **Technographic data** records which tools a company runs. A vendor selling a HubSpot add-on, for example, filters for companies that use HubSpot. - **Intent data** captures signs that a company is researching a topic or category. It is covered in more depth in [what is B2B intent data](https://www.leadsets.ai/answers/what-is-b2b-intent-data). - **Signal data** comes from what companies publish themselves: open job postings, new leadership hires, product pages and customer logos. Hiring for SDRs, for instance, often signals investment in outbound sales. Alongside the data itself, good datasets carry metadata: where each field came from, when it was last checked and how confident the provider is. For emails, that usually means a verification status such as verified, catch-all, unknown or invalid. ## Where B2B data comes from Providers assemble B2B data from a mix of sources, and the mix matters for both quality and compliance: - **Licensed suppliers:** other data companies that sell or license records. - **Public sources:** company websites, careers pages, press releases, regulatory filings and public professional profiles where use is permitted. - **Contributory networks:** some vendors collect data from customers who connect inboxes or CRMs. - **Your own first-party data:** CRM records, form fills, product sign-ups and past conversations. Raw records from these sources disagree with each other, so providers normalise them: resolving job titles to standard functions and seniorities, merging duplicates and matching people to the right company. When you evaluate a provider, ask which sources it uses, whether anything is collected from behind a login, and whether each field shows its source. ## How accurate and fresh is B2B data B2B data goes stale because the business world keeps moving. People change jobs and get promoted, companies grow, shrink, rebrand or get acquired, and email domains change. A record that was correct when it was collected can be wrong months later even if nobody made a mistake. Three questions help you judge any dataset: 1. **When was this field last checked?** A refresh date on the record is more useful than a general claim about the database. 2. **How was the email verified?** Verification normally runs syntax, DNS and MX checks, then a mailbox-level check. Some domains accept every address, so no one can confirm a specific mailbox; see [what is a catch-all email](https://www.leadsets.ai/answers/what-is-a-catch-all-email). 3. **What does the provider do with uncertain results?** Some providers count uncertain emails as valid. Others label them separately so you can decide how to send. No provider can honestly promise every record is correct. Published methods and per-field dates let you check for yourself rather than relying on a headline accuracy figure. ## How teams use B2B data The common uses are: - **Prospecting:** building lists of accounts and contacts that match an ideal customer profile. - **Enrichment:** filling in missing fields on records you already have, such as a title or work email on an inbound lead. See [what is lead enrichment](https://www.leadsets.ai/answers/what-is-lead-enrichment). - **CRM hygiene:** finding contacts who changed jobs, refreshing stale titles and removing bounced emails. - **Timing and research:** spotting hiring or leadership changes and understanding what a company sells before reaching out. - **Market analysis:** sizing a segment by counting companies by industry, size and region. A concrete example. Maya Chen runs revenue operations at Northwind Analytics (northwind.co), which sells to mid-market logistics companies. She wants to reach operations leaders at 50 to 200 person companies that are growing. She starts with firmographic data to find matching companies, uses hiring signals to keep only those posting operations roles, pulls contact data for heads of operations at each one, and verifies every email before loading the list into her sequencer. Catch-all addresses go into a separate, lower-volume campaign. Each step uses a different type of B2B data, and the final list is only as good as the weakest step. ## B2B data and privacy Business contact data is still personal data in many jurisdictions. Under GDPR, B2B prospecting usually relies on legitimate interest, which means the provider and the sender both need a lawful basis, a way for people to object and respect for opt-outs. In California, CCPA and CPRA give people the right to ask a business not to sell or share their information. Outreach itself is governed by laws such as CAN-SPAM and CASL. When choosing a source, look for a published opt-out process, a data processing addendum, a clear list of subprocessors and a statement on which categories of data are excluded. Responsible providers serve business data only and leave out sensitive categories and personal home addresses. ## Where Leadsets fits Leadsets is one way to access B2B data, built for AI agents and developers rather than a dashboard. It provides people and company search, enrichment, email verification and company website scraping through a remote MCP server and REST API, with match reasons, verification status and a last-checked date on each record. Sources are licensed suppliers and permitted public sources, and records are re-checked at least monthly; details are on the [our data](https://www.leadsets.ai/data) page. It does not offer phone numbers yet, so teams that need direct dials should look elsewhere. For a wider comparison, see [B2B data providers](https://www.leadsets.ai/best/b2b-data-providers). ## Questions and answers ### What is the difference between B2B and B2C data? B2B data describes companies and people in their professional role, such as job titles, employers and work emails. B2C data describes consumers, such as household details and purchasing habits. B2B data is used to sell to organisations, B2C data to sell to individuals. ### What are examples of B2B data? Common examples are a company's industry, headcount and domain, a person's job title and work email, the software a company uses, and signals such as open job postings. Many datasets also record where each field came from and when it was last checked. ### Why does B2B data go out of date? People change jobs, get promoted or leave companies, and companies grow, rebrand or get acquired. A record that was accurate when collected can become wrong later, which is why providers re-check records on a schedule and show refresh dates. ### Is it legal to use B2B data for outreach? In most places it is, provided you follow the applicable rules. Under GDPR, B2B prospecting usually relies on legitimate interest and must respect objections and opt-outs, while laws such as CAN-SPAM and CASL govern how emails are sent. Check the provider's privacy policy, opt-out process and DPA before buying. ### What is a B2B data provider? A B2B data provider collects, cleans and sells company and contact data, usually through a web app, browser extension, API or MCP server. Providers differ in sources, coverage, verification method, refresh cadence and pricing model, such as credits per record or flat monthly plans. ### Does B2B data include phone numbers? Many B2B datasets include direct dials or mobile numbers, often priced higher than emails. Coverage varies by provider, and some, including Leadsets today, offer work emails and company data but no phone numbers. --- Leadsets · https://www.leadsets.ai · Site index: https://www.leadsets.ai/llms.txt