Lusha Dataset: 13,000+ Chief Revenue Officer contacts across the United States

Built by: Unknown
Tools: Lusha
Type: Audience

Lusha Plays › Datasets

13,000+ verified Chief Revenue Officer contacts across the United States — with verified emails, direct dials, and company firmographics. The primary budget owner for revenue technology, sales infrastructure, and GTM platforms in the world’s largest B2B market.

Type: AudienceRecords: 13,000+Coverage: United StatesUpdated: Continuously verifiedTools: Lusha, Claude, ChatGPT, API

This dataset covers every Chief Revenue Officer and President & CRO contact in Lusha’s US database — verified, enriched, and continuously updated. Every record includes the contact’s current title, company, location, and available contact channels.

The US CRO owns the full revenue function — pipeline, quota, forecasting, and often the entire GTM stack. They are the highest-value buyer for revenue intelligence, sales technology, and data platforms. At 13,000+ verified contacts, this is the most targeted senior revenue leader list available for the US market.

What’s included in every record

✓  Full name and verified job title

✓  Verified business email with confidence score

✓  Direct mobile and office phone

✓  Do Not Call status per number

✓  Company name, domain, industry

✓  Employee count and revenue range

✓  City and state

✓  LinkedIn profile URL

What you’ll get back — live contact sample

M.G.

M.G. · Chief Revenue Officer · Sxxxake

United States · Computer Software

✓ Email available
✓ Direct dial available
R.G.

R.G. · Chief Revenue Officer · Dxxxs

Phoenix, AZ · Computer Software

✓ Email available
✓ Direct dial available
K.T.

K.T. · Chief Revenue Officer · Dxxagon

New York City, NY · Internet

✓ Email available
✓ Direct dial available
S.W.

S.W. · Chief Revenue Officer · Datxxxg

United States · Computer Software

✓ Email available
✓ Direct dial available

Real contacts from the Lusha API, June 13, 2026. Names abbreviated for privacy. Full details available on reveal inside Lusha.

Use cases

1

Revenue technology vendors

The US CRO owns the full revenue function and the GTM stack budget. If you sell revenue intelligence, pipeline management, sales data, or outbound infrastructure — this is your highest-value US buyer list.

2

US market ABM

Filter by state, city, industry, and company size to build a precise US ABM list. Layer buying signals — funding rounds, executive hires, hiring surges — to prioritize the CROs at accounts most likely to convert right now.

3

Executive recruiting

Source CRO candidates across the US by industry, company size, and geography. Verified direct dials mean you can reach them without relying on LinkedIn InMail or agency referrals.

4

Partnerships and co-sell

US CROs are the decision-makers for strategic partnerships and co-sell agreements. Reach them directly with verified contact details rather than navigating through a partner portal.

How to access this audience

1

In Claude or ChatGPT

With the Lusha connector enabled, ask: “Find Chief Revenue Officers at B2B SaaS companies with 200–2,000 employees in the US. Give me verified emails and direct dials.”

2

Via the Lusha API

Use prospecting_contact_search with jobTitles: ["Chief Revenue Officer", "CRO"] and countries: ["US"] plus your ICP filters to pull verified US CRO contacts.

3

Via Lusha Workspace or CRM sync

Build and export in Lusha Workspace, filtered by state, industry, and company size. Sync into Salesforce, HubSpot, or Monday CRM and layer buying signals to prioritize who to call first.

FAQ

  • What titles are included?

    Chief Revenue Officer, CRO, and President & Chief Revenue Officer. You can expand to include SVP of Revenue or VP of Revenue for broader coverage of the US revenue leadership tier.

  • How accurate are the emails and phone numbers?

    98% email deliverability and 85% phone accuracy for US contacts. Every email is confidence-scored and every phone record includes Do Not Call status.

  • Can I filter by state or city?

    Yes. Filter by US state or city to build region-specific lists for territory management or field sales outreach. Major hubs like New York, San Francisco, Chicago, Austin, and Boston can be targeted independently.

  • Can I layer buying signals on top?

    Yes. Combine this audience with Lusha’s signal datasets — funding rounds, executive hires, hiring surges — to prioritize the US CROs at accounts actively in-market right now.

  • Does accessing this dataset consume Lusha credits?

    Contact searches consume credits per result returned. Revealing emails costs 1 credit per contact. Revealing phone numbers costs 5 credits per contact. No-match lookups don’t consume credits.

Ready to run this?

One data connection. Works in Claude, ChatGPT, your CRM, or any agent you build.