Lusha Dataset: 26,000+ Chief Revenue Officer contacts global

Built by: Lusha
Tools: Lusha
Type: Audience
Type: AudienceRecords: 26,000+Coverage: GlobalUpdated: Continuously verifiedTools: Lusha, Claude, ChatGPT, API

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

The 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. This is the list you need when you sell to the top of the revenue org.

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, country, region

✓  LinkedIn profile URL

What you’ll get back — live contact sample

M.G.

M.G. · Chief Revenue Officer · Sxxxxxke

United States · Computer Software

✓ Email available
✓ Direct dial available
R.G.

R.G. · Chief Revenue Officer · Dxxxxks

Phoenix, AZ · Computer Software

✓ Email available
✓ Direct dial available
K.T.

K.T. · Chief Revenue Officer · Dxxxxn

New York City, NY · Internet

✓ Email available
✓ Direct dial available
Y.E.

Y.E. · Chief Revenue Officer · Cxxxxxx

London, UK · Computer Software

✓ Email available
✓ Direct dial available

Real contacts from the Lusha API, June 12, 2026. Names abbreviated and contact details masked for privacy. Reveal full details inside Lusha.

Use cases

1

Revenue technology vendors

The CRO owns the full revenue function and the budget for the GTM stack. If you sell revenue intelligence, forecasting, pipeline management, or sales data — this is your primary buyer list.

2

Enterprise ABM

Build a global ABM list filtered by company size, industry, and geography. Layer buying signals — funding rounds, executive hires, hiring surges — to prioritize the CROs at accounts that are actively evaluating.

3

Executive recruiting

Source CRO candidates globally by industry, company size, and location. Verified direct dials let you reach them without relying on LinkedIn InMail or agency referrals.

4

Partnerships and alliances

CROs are the decision-makers for strategic partnerships and co-sell agreements. This dataset gives you direct access to the right contact at any potential partner company.

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 500–2,000 employees globally. Give me verified emails and direct dials.” Lusha returns a filtered, verified list in seconds.

2

Via the Lusha API

Use prospecting_contact_search with jobTitles: ["Chief Revenue Officer", "CRO"] and your ICP filters to pull a paginated list of verified CRO contacts globally.

3

Via Lusha Workspace or CRM sync

Build and export the list directly in Lusha Workspace, or sync into Salesforce, HubSpot, or Monday CRM. Layer buying signals on top to prioritize who to call first.

FAQ

  • What titles are included in this dataset?

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

  • Which regions are covered?

    Global coverage — United States, United Kingdom, EMEA, APAC, and LATAM. Email accuracy by region: North America 98%, EMEA 97%, APAC 96%, LATAM 95%.

  • How accurate are the emails and phone numbers?

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

  • Can I layer buying signals on top of this contact list?

    Yes. Combine this audience with Lusha’s signal datasets — funding rounds, executive hires, hiring surges — to prioritize the CROs at accounts that are 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.

  • Is this data GDPR and CCPA compliant?

    Yes. All Lusha data is sourced ethically under GDPR, CCPA, SOC 2 Type II, ISO 27701, ISO 31700, TRUSTe, and ISO 42001. Learn more about Lusha data privacy →

Ready to run this?

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