B2B data is information about businesses and the people who work in them: what a company does, how big it is, what it runs, what it is researching and who to contact there. Sales, marketing and RevOps teams use it to decide which accounts to target and to reach the right buyer by email or phone.
This guide explains the 5 types of B2B data, where each comes from, how teams use it, how to judge its quality, what it costs and which rules apply. Each section links to a deeper guide.
What is B2B data?
B2B data is information that describes a business or a professional inside it, collected so another business can find, qualify and contact them. It covers company facts such as industry and headcount, and person-level facts such as job title, work email and mobile number.
The term usually means data used for sales and marketing, as opposed to consumer (B2C) data about shoppers. Having B2B data is the easy part. What decides its value is whether it is current, verified and complete for the channel you use: email, phone or ads.
The 5 types of B2B data
The 5 types of B2B data are firmographic, contact, technographic, intent and buying-signal data. The first four describe a state; buying signals describe a dated event.
| Type | Question it answers | Describes | Typical fields |
|---|---|---|---|
| Firmographic | Could this company buy from us? | The company | Industry, headcount, revenue, location |
| Contact | Who decides, and how do I reach them? | A person | Name, title, work email, mobile, location |
| Technographic | Which tools does it run? | The company | CRM, ERP, ecommerce platform |
| Intent | What is it researching right now? | The company | Topic, surge score, week |
| Buying signals | What just changed there? | Company or person | Funding, hiring, new leader, new site |
Firmographic data: the company
Firmographic data describes the company itself: industry, employee count, revenue, location, ownership and age. It answers the first targeting question, whether an account could buy at all, and it is how you size a market. The US had 6,395,635 employer firms in 2022, according to the Census Bureau’s Statistics of U.S. Businesses.
Industry and headcount are usually dependable. Private-company revenue is often an estimate. Our guide to firmographic data covers each field and how far to trust it.
Contact data: the person
Contact data identifies a person and how to reach them: full name, job title, company, work email, phone number and location. It is the type that turns a target account into a conversation, and the one that goes stale fastest, because it breaks when someone changes jobs.
Good contact data carries a verification status on each email and a type on each phone number (mobile, direct dial or switchboard). See what good B2B contact data looks like for the fields a usable record needs.
Technographic data: the tools
Technographic data lists the software a company uses, such as its CRM, ecommerce platform or ERP. It matters when you sell an integration, replace a competitor or need a certain tool in place before you can help.
Most of it comes from scanning public websites, which sees tags and scripts but not back-office systems. BuiltWith, one of the best-known sources, says it tracks 127,644 web technologies. More in our guide to technographic data.
Intent data: the research
Intent data estimates which companies are researching a topic more than usual right now. Third-party providers such as Bombora build it from a cooperative of publisher websites, then score each company against its own history.
It names accounts, not people, and it expires fast: Bombora’s scoring compares the most recent three weeks of activity with a 12-week baseline. Read our guide to B2B intent data before you pay for a subscription.
Buying signals: the events
Buying signals are dated events that make a purchase more likely: a funding round, a hiring push, a new executive, a new location or an acquisition. Most come from public sources such as press releases, job postings and filings, or from your own CRM.
A signal tells you when to act, not who to call. Our guide to buying signals data covers the sources and how long each one stays useful.
Example: one account, five types of B2B data
Here is how the five types look on one fictional account, Northwind Fabrication, a metal fabricator in Columbus, Ohio.
The first four lines help you pick the account and time the approach. Only the last one gets you a meeting, because it names Dana Whitfield and gives you a checked email and a mobile number.
Where does B2B data come from?
B2B data comes from public records, company websites, publisher networks, your own systems and checks made at the moment of use. Each type has its own sources and its own blind spots.
| Type | Main sources | How to check it |
|---|---|---|
| Firmographic | Business registries, public filings, company websites, modeled estimates | Ask which fields are observed and which are estimated |
| Contact | Company websites, press releases, professional directories, contributor networks | A status on each email and a type on each phone |
| Technographic | Website scans, job postings, vendor case studies, surveys | Confirm back-office tools in discovery |
| Intent | Publisher co-ops, review sites, your own website | Ask for the scoring window and the topic list |
| Buying signals | Press releases, job postings, filings, funding news, your CRM | Check the date of the event |
Providers deliver B2B data in two ways. Most sell access to a stored database, compiled in advance, that you search and export. Others find and verify each contact detail when you ask for it. The difference decides how fresh a record is on the day you use it; our guide to choosing a B2B contact database compares the two.
Email addresses can always be checked at the moment of use. A verifier tests the syntax, the domain, its mail (MX) records and the mail server’s reply, and flags domains that accept every address.
How is B2B data used?
Teams use B2B data for five jobs, usually in this order: size the market, pick the accounts, find the buyers, reach them and keep the records current.
- Size the market. Firmographics turn your ideal customer profile into a count of companies. Our guide to total addressable market shows the math.
- Pick the accounts. Technographics, intent and buying signals decide which of those companies to work first.
- Find the buyers. Contact data names the 2 or 3 people who decide at each account.
- Reach them. A verified work email for sequences and a mobile number for calls.
- Keep records current. Re-verify and fill gaps before each campaign with CRM enrichment.
Marketing uses the same data for ad audiences, lead scoring and routing inbound leads to the right rep. RevOps uses it to merge duplicate records and keep territories clean.
What makes B2B data good? 6 quality dimensions
Good B2B data is judged on six dimensions: coverage, accuracy, freshness, completeness, consistency and provenance. The size of a provider’s database is not one of them.
| Dimension | The question | How to measure it |
|---|---|---|
| Coverage | Does it have my accounts and fields, in my regions? | Share of a test list with an email, and with a phone |
| Accuracy | Is each value right? | Bounce rate, and calls that reach the named person |
| Freshness | When was each value last checked? | A last-verified date on each record |
| Completeness | Are the fields I use filled in? | Share of records with every required field |
| Consistency | Is it stored the same way everywhere? | Duplicates, formats, one domain per company |
| Provenance | Where did it come from, and can I use it? | Documented sources, a DPA and a working opt-out |
Freshness erodes on its own. People change employers, business locations close and mail servers change, so a record that was right in March can be wrong by September.
Coverage varies by region more than most buyers expect. In our own test of 8 providers on the same founder lists, the share of the APAC list with a phone number found ranged from none to 75% among the tools that sell phones. The full results are in our provider comparison by region.
To check a source yourself, our bake-off method tests any provider on 100 of your own accounts. For how fast records expire, see B2B data decay.
How much does B2B data cost?
B2B data costs from a few cents per email on self-serve credit plans to five-figure annual contracts. The pricing model changes the real cost more than the list price does.
| Pricing model | How you pay | Published example (Sep 2026) |
|---|---|---|
| Per seat plus credits | A fee per user and a credit allowance | Apollo.io: 49 USD per seat a month billed annually; a phone number costs 8 credits |
| Credits | A pool of credits, spent per reveal | Lusha: 49.90 USD a month for 400 credits; a phone number costs 5 credits |
| Credits, charged on success | Credits spent only when data is found | Scalelist: 29 USD a month for 500 credits; 20 per mobile found, misses free |
| Quote-only contract | A custom annual price with minimum seats | ZoomInfo: not published; Vendr reports a 33,500 USD median across 1,573 purchases |
| Account-list subscription | A monthly fee for reports or lookups | BuiltWith: 295 USD a month (Basic) for technographic lists |
Three terms move the total: seats for people who only need a few contacts, credits that expire or reset, and whether a lookup that finds nothing still costs you.
For scale, analysts put the sales intelligence market, the software category that sells most B2B data, at about 5 billion USD in 2026 (Mordor Intelligence: 4.99 billion; Fortune Business Insights: 5.37 billion).
Our guides to B2B data costs per email and mobile and credits vs seats pricing go deeper, and the best B2B data providers roundup compares 12 vendors on price and mobile numbers.
Is B2B data legal to use?
Usually yes, for relevant business outreach, but the rules depend on the type of data, where the person is and how you contact them. Facts about a company describe an organization; contact data names a person, so privacy and outreach laws apply to it. This is a summary, not legal advice.
- EU and UK (GDPR): direct marketing can rest on legitimate interest after a balancing test, and the right to object to it is “unconditional”, per the European Data Protection Board’s 2024 guidelines.
- US email (CAN-SPAM): “The law makes no exception for business-to-business email,” says the Federal Trade Commission. Include an opt-out and honor it within 10 business days.
- US calls (TCPA and Do Not Call): autodialed or prerecorded calls to a mobile need prior express consent, whoever owns the phone. Most sales calls to businesses are exempt from Do Not Call rules, but personal mobiles are a grey area.
Ask every provider how it sources data, whether it signs a Data Processing Agreement and how people opt out. Country by country: B2B data and the GDPR and B2B cold calling laws.
Common mistakes with B2B data
Most B2B data problems come from four habits, and each has a simple fix.
Buying account data and stopping there
Firmographics, technographics, intent and signals all name companies. Without contact data, each flagged account still needs someone to find the buyer by hand. Fix: budget for the people layer before you buy another account layer.
Judging a provider by database size
A claim of hundreds of millions of profiles says nothing about your 2,000 target accounts. Fix: test coverage on your own list, region by region.
Treating a stored record as current
A record is only as fresh as its last check. Fix: re-verify emails right before each send and prefer sources that show a last-verified date.
Paying for empty results
Some pricing charges per lookup or per export, whatever comes back. Fix: compare the cost per usable contact, not the price per credit.
What to look for in a B2B data provider
Before you sign with any B2B data provider, check that it offers:
- The data types you need, without a bundle of ones you will not use.
- Coverage you can test in each region you sell to, on a trial or a sample.
- A status on every email and a type on every phone number.
- A last-verified date, or verification at the moment you export.
- Charges only when data is found, stated on the pricing page.
- Monthly terms, or a clear credit rollover policy on annual plans.
- A Data Processing Agreement, documented sourcing and a working opt-out.
How Scalelist helps
Scalelist, an AI Lead Finder, covers the contact-data layer and the firmographics that define a buyer. You describe the people you want in one sentence, such as “Heads of Operations at US manufacturers with 200 to 1,000 employees”, see how many match before you spend a credit, and get them with verified work emails and mobile numbers.
- Firmographics in plain English: Lead Finder understands industry, company size and location, plus title, seniority and time in role.
- Found and verified on demand: Scalelist finds and verifies contact details on demand rather than serving a pre-compiled list, and labels every email Valid or Risky.
- Pay on success: 1 credit per lead or email found, 20 per mobile found, nothing for a miss. Plans start at 29 USD a month for 500 credits; see Scalelist pricing.
- What it does not sell: technographics, intent scores or revenue estimates. Pair it with those sources and use Scalelist to find the people at the accounts they flag.
Describe the people you sell to in one sentence and get verified emails and mobiles, charged only when found.
Get 20 credits to test itFAQ
What is B2B data?
B2B data is information about businesses and the professionals in them, used by sales and marketing teams to find, qualify and contact buyers. It includes company facts such as industry and headcount, and person-level facts such as job title, verified work email and mobile number. Good B2B data is current, verified and complete for the channel you use.
What are the main types of B2B data?
There are five. Firmographic data covers industry, size and location; contact data covers name, title, email and phone; technographic data covers the tools a company runs; intent data covers topics a company is researching; and buying signals cover events such as funding, hiring or a new executive. The first four describe a state, signals a dated event.
What is the difference between B2B data and B2C data?
B2B data describes companies and people in their work roles: employer, job title, work email and business phone. B2C data describes consumers: household, personal email and purchase history. B2B data is used to reach people who buy for an organization, so it goes stale mainly through job changes and company changes rather than home moves.
Where do companies get B2B data?
From providers that sell access to stored databases, from tools that find and verify contact details on demand, and from their own CRM, website and product. Underneath, B2B data comes from business registries, company websites, press releases, job postings, website scans and publisher networks. Ask any provider which sources feed each field.
How often should B2B data be updated?
Contact data should be re-verified before every campaign; company data changes more slowly, so refresh it when you rebuild a segment. About 1 in 5 US workers had been with their employer a year or less in January 2026 (BLS), and 9.4% of US business locations closed in 2023 (Census), so older lists always contain dead records.
How much does B2B data cost?
It depends on the pricing model. Self-serve credit plans start at 29 USD a month (Scalelist, 500 credits) or 49.90 USD (Lusha, 400 credits). Per-seat plans such as Apollo.io start at 49 USD per seat a month billed annually. Enterprise platforms such as ZoomInfo sell quoted annual contracts and do not publish prices.
Is it legal to use B2B data?
Generally yes, for relevant business outreach, but the rules depend on where your contacts are and how you reach them. The GDPR applies to people in the EU and UK, CAN-SPAM to commercial email in the US, and the TCPA and Do Not Call rules to US calls. Use providers with documented sourcing. This is not legal advice.
Sources
- U.S. Census Bureau: Statistics of U.S. Businesses 2022
- U.S. Bureau of Labor Statistics: Employee Tenure in 2026
- U.S. Census Bureau: Business Dynamics Statistics 2023
- ZeroBounce: The Email List Decay Report for 2026
- Validity: The State of CRM Data Management in 2025
- BuiltWith: plans
- Bombora: Company Surge intent data
- Apollo.io: pricing
- Lusha: pricing
- ZoomInfo: how much does ZoomInfo cost
- Vendr: ZoomInfo pricing data
- Mordor Intelligence: Sales Intelligence Market
- Fortune Business Insights: Sales Intelligence Market
- European Data Protection Board: Guidelines 1/2024 on legitimate interest
- Federal Trade Commission: CAN-SPAM Act compliance guide
- 47 U.S.C. § 227 (TCPA)
- Federal Trade Commission: Q&A on the Do Not Call provisions
