A vague account list and a blank afternoon
RevOps hands over 200 target accounts. No contacts, no titles, no way to tell which ones even have a Head of Revenue yet.
Contact Data
378M+ B2B contacts with verified work emails, direct dials, titles and firmographics — sourced, cross-checked and dated, so a rep opens with a real reason to call instead of a guess.
Not a name and a guessed email. Every contact carries the fields a rep needs to open a real conversation, on one record.
| Field | What you get | Why it matters |
|---|---|---|
| Work email | A verified address at the company the contact currently works for | The single biggest lever on connect rate — a bounced first email is a rep who never gets a reply to bounce off |
| Direct dial | A number that rings the person, not a switchboard | Skips the gatekeeper call before the call that matters |
| Title & seniority | Current role and where it sits in the org — IC, manager, director, VP, C-level | Lets a rep open with the right pitch instead of finding out on the call |
| Firmographics | Industry, headcount, revenue band, location and business model for the company behind the contact | Qualifies the account before a rep spends a call finding out it was never a fit |
| LinkedIn URL | A direct profile link, matched to the same person as the rest of the record | One click of pre-call research instead of five minutes of searching a name that might not be unique |
A record that bounces costs a rep the same fifteen minutes as one that doesn't — verification is what keeps that time from being wasted.
A record is built from public and licensed sources — company sites, filings, professional profiles and partner data — not scraped once and left to rot.
Where a second source exists, the email and role are checked against it before the record is marked verified, not just accepted from the first hit.
Work emails are tested for deliverability on a recurring cycle, so a verified badge reflects the mailbox today, not the day the record was first built.
Every record carries a last-verified date, so your team can see how fresh a contact is before spending a credit on it.
What changes for a rep or a RevOps lead, in one afternoon.
RevOps hands over 200 target accounts. No contacts, no titles, no way to tell which ones even have a Head of Revenue yet.
Title, seniority, industry and headcount narrow 200 accounts down to the ~340 people who hold the role this quarter is built around.
Verified emails and direct dials on every name, previewed for free before a single credit is spent, exported straight into the sequence tool the team already uses.
Building a list on your own? /company-search starts from the account instead of the person, and /data-enrichment fills in the gaps on a list you already have.
Coverage, verification, fields and what it costs to use them.
378M+ verified B2B contacts across companies of every size, spanning work emails, direct dials, titles, seniority and firmographics, refreshed on a recurring cycle rather than built once.
Every record is sourced, cross-checked against a second source where one exists, and deliverability-tested on a recurring cycle. A last-verified date sits on the record so your team can judge freshness before spending a credit.
Work email, direct dial, title, seniority, LinkedIn URL and company-level firmographics — industry, headcount, revenue band and location — on the same record, not spread across separate lookups.
Those two pages are the tools you use to query the dataset — one for people, one for companies. This page is the dataset and the verification process underneath both of them.
No. Searching, filtering and previewing results are free however many times you do it. Credits are only spent when you reveal a verified email or direct dial, or export records out of the platform.
Upload it. /data-enrichment appends verified fields to an existing CSV or CRM export without overwriting what you already have, rather than making you rebuild the list from scratch.
STOP SETTLING FOR BLIND SPOTS
Search people and companies, enrich records with verified emails and phones, and move clean data into the tools your team already uses.