Reach the right people at the right companies.

B2B (business-to-business) contact data describes people in their professional role. A record ties a person — their name, title and department — to the company they work for, and to the contact points they use at work. Around that core sits a layer of company-level information, called firmographics, that lets you find the businesses that fit your ideal customer profile.

The defining characteristic of B2B data is that it's organized around accounts. You don't usually want "every marketing director." You want the marketing directors at mid-size manufacturers in the Midwest, or the IT leaders at healthcare providers with a particular footprint. Good B2B data makes it easy to start with the account and work down to the people.

It also has a shorter shelf life than most buyers assume. Business contact data describes facts that change all the time — who holds which job, where a company is headquartered, who owns whom. Understanding that decay is the key to buying, using and maintaining B2B data well.

These are the fields that describe the individual and how to reach them. Not every project needs every field — a direct mail campaign has no use for a direct dial, and an email program may not need a mailing address — so treat this as a menu, not a bundle.

first_name / last_nameName

Parsed into separate fields with consistent capitalization so records match cleanly against your CRM and personalize correctly.

job_titleJob title

The title as the person uses it. Titles vary wildly between companies, which is why normalized seniority and department fields exist alongside it.

company_nameCompany

The employer, ideally linked to a company record so the person inherits that company's firmographics.

business_emailBusiness email

A work address at the company's domain, with a validation status that tells you whether it was checked and when.

direct_dial / mobileDirect dial or mobile

A desk line that reaches the person rather than a switchboard, and in some cases a mobile number. Mobile numbers carry stricter calling and texting rules.

profile_urlProfessional profile URL

A reference link to a public professional profile, used to confirm identity before outreach. A pointer, not a copy of profile content.

senioritySeniority

A normalized level — for example owner, C-level, VP, director, manager, individual contributor — derived from the title so you can filter consistently.

departmentDepartment / function

A normalized function such as finance, IT, marketing, operations, sales or HR, so a 'Head of Growth' and a 'Marketing Director' land in the same segment.

Why normalized fields matter

Raw job titles are almost useless for segmentation on their own. One company's "Director of Revenue Operations" is another's "Sales Ops Lead" and a third's "VP, Commercial Excellence." Normalizing titles into a consistent seniority and department lets you build a clean target list — "director and above in finance" — without writing hundreds of keyword rules. When you review a sample, check how a few unusual titles were classified. It's a quick, revealing test of a file's quality.

Firmographics are to companies what demographics are to people. They're the attributes you use to decide whether an account fits your market at all, and they're usually the first filter in any B2B count.

A practical tip: decide whether you're targeting companies or locations before you ask for counts. "Retailers with more than a certain number of employees" means something very different if you're counting headquarters versus every store.

Technographics describe the technology a company appears to use — categories of software, platforms and infrastructure. They're an optional layer that matters most when your product integrates with, complements or replaces a particular kind of system.

• Targeting: find companies that use a compatible platform category, or that appear to lack a capability you provide.
• Messaging: reference the stack a prospect is likely working with, so outreach feels relevant rather than generic.
• Prioritization: combine with firmographics to rank accounts by likely fit.

B2B data is rarely collected in a single step. In the industry generally, a business contact file is built from several kinds of inputs and then reconciled, verified and maintained over time. Knowing the general approaches helps you ask better provenance questions of any data provider.

1. 01

   Company records come first

   Business registrations, public filings, company websites and other published business information establish which companies exist, where they are and what they do. This forms the account layer that contacts attach to.
2. 02

   Contacts are attached to companies

   People are associated with their employers through sources such as business-published information, professional directories, event and publication contributions, and contributory or permissioned data shared under agreements with notice to the individuals.
3. 03

   Records are reconciled

   Overlapping inputs are matched, deduplicated and merged. Conflicts — two different titles, two different phone numbers — are resolved by recency and source reliability.
4. 04

   Contact points are verified

   Email addresses are validated, phone numbers are checked for type and status, and addresses are standardized. Verification dates are recorded so you can see how fresh each field is.
5. 05

   Records are maintained and suppressed

   Files are refreshed on a cadence, records that fail verification are retired, and people who opt out are suppressed going forward.

When you evaluate any B2B file, ask for a data card: a plain description of the fields, the general types of sources, how verification works, how often records are refreshed and how opt-outs are handled. A provider who can't answer those questions clearly is telling you something.

B2B data starts aging the moment it's verified. It isn't that the data was wrong — it's that the world moved. Decay is continuous, and it hits different fields in different ways.

People change jobs

Job changes are the biggest single driver of decay. When someone leaves a company, their business email usually stops working, their direct dial gets reassigned, and their title and company fields are suddenly describing someone else's role. Promotions and internal moves are subtler: the email still works, but the title, seniority and department no longer fit your targeting.

Companies move and change

Relocations change addresses and sometimes phone numbers. Rebrands change company names and domains, which can break email addresses even when nobody changed jobs. Growth and contraction shift a company from one employee or revenue band to another, quietly moving it in or out of your ICP.

Acquisitions and mergers

When one company buys another, nearly everything can change at once: the corporate family, the domain, the email format, the reporting lines and who holds which job. Acquisitions are one of the most disruptive events for a B2B file, and they're a good reason to look at corporate-family fields with healthy skepticism.

What decay means in practice

• Rising email bounces that hurt your sending reputation.
• Reps dialing numbers that reach the wrong person or no one at all.
• Messaging that references a title or company the prospect no longer has.
• Segments and territory plans that drift away from the real market.

The honest answer to "how accurate is this file?" is always "as of when?" That's why we focus on recency and on a refresh plan rather than a single accuracy claim.

You can't stop decay, but you can manage it. The teams that get the most out of B2B data treat it like inventory with a shelf life, not a one-time purchase.

• Use it soon after delivery. The freshest a file will ever be is the day it arrives. Plan campaigns so the data is used while it's current.
• Validate before every major send. Re-check email status before large campaigns, especially if the list has been sitting for a while. See data hygiene.
• Feed back what you learn. Bounces, wrong numbers and "they left the company" notes from reps are valuable decay signals. Capture them in your CRM and suppress accordingly.
• Set a refresh cadence. Re-enrich or replace records on a schedule that matches how fast your target market changes — faster for high-turnover roles and industries.
• Honor opt-outs everywhere. When someone opts out, suppress them across every list and every refresh, not just the campaign where they asked.

A common misconception is that B2B data is unregulated. It's lighter-touch than consumer data in some respects, but several rules still apply — and the buyer is responsible for lawful use.

• Email: commercial email in the US must follow CAN-SPAM — accurate sender information, non-deceptive subject lines, a clear way to opt out that you honor promptly, and a valid physical postal address.
• Phone and text: the TCPA's consent rules for autodialed or prerecorded calls and for texts to mobile numbers can apply even when the person is a business contact. Do Not Call obligations may also apply, particularly to mobile numbers.
• State privacy laws: some state privacy laws cover personal information about people in their professional capacity, including rights to opt out of the sale of their data.
• Outside the US: business contacts in Canada, the EU and the UK are covered by stricter regimes such as CASL and GDPR.