Tools that find verified emails at scale show you four things about every email before you send: a confidence grade, the date it was last confirmed, whether it’s a work or personal address, and whether the person still holds the role. An email without those four facts is a guess, and at scale a guess turns into a bounce rate.
Lusha returns all four with each email reveal, across 165M+ verified emails and 520M+ contacts, with 98% email accuracy. The rest of this page shows what each check looks like on a real result and how to run it on a full list.
The short answer
Pick a tool that passes these five checks:
- Confidence grade. It grades each email, so you can send only to the ones that pass your bar.
- Update date. It shows when each email was last confirmed.
- Work vs. personal. It labels the email type, so personal addresses stay out of B2B outreach.
- Current role. It shows when the contact started their current job.
- Published accuracy. The vendor publishes an email accuracy figure and explains how it’s measured.
Calling instead of emailing? See which tools find phone numbers reliably.
Enriching leads right before outbound instead? See how real-time lead enrichment works.
What “verified” means for an email
| Check | Why it changes the send | What to look for in the result |
|---|---|---|
| Confidence grade | Low-confidence emails bounce, and bounces hurt your sending domain for every email after them. | A grade on each email, not one score for the whole list |
| Update date | An email confirmed this week and one from two years ago look the same without a date. | A date on each email address |
| Work vs. personal | Sending B2B outreach to a personal inbox can create privacy exposure and rarely gets a reply. | A type field that separates work and personal addresses |
| Current role | A working email with the wrong title in your sequence reads like you didn’t check. | The current title and the date the role started |
| Published accuracy | Without a figure, you only learn the real accuracy after your first campaign bounces. | An email-specific figure. Lusha publishes 98%. |
What a verified result looks like
We searched Lusha for US marketing directors at software companies with a work email on file. The search returned 130,654 contacts. Here is one result after an email reveal, pulled on October 4, 2026.
Contact: Di**e B.
Title: Global Director of Channel Marketing
Company: a US cybersecurity company
Location: United States
In role since: November 2023
Previous role: Director of Marketing, same company
Email: d***@catonetworks.com
type: work | confidence: A+ | updated: 2026-10-04
Credits used: 1The email is graded, dated today, and marked as a work address. The role history shows something a plain email finder misses: this contact was promoted inside the same company. Her email didn’t change, but her title did. A list built before the promotion still says “Director of Marketing,” and a sequence that opens with the old title tells the reader the data is stale.
How to find verified emails at scale, step by step
Filter by “work email” so every result has one on file → search by title, seniority, and location → check titles and role start dates in the results → reveal emails in bulk (1 credit each) → keep only the confidence grades you trust → send, or push the list to your CRM.
The filter does the heavy lifting. Lusha shows which contacts have a work email before you spend credits, so you only pay for emails you’ll use. For lists you already have, run the same reveal against your CRM records or a spreadsheet instead of a new search.
Where to run it
| You have | Run it here |
|---|---|
| No list yet | Prospecting search with the work email filter |
| Records in your CRM | CRM enrichment for Salesforce, HubSpot, or monday CRM |
| A spreadsheet | Bulk spreadsheet enrichment |
| Your own system or workflow | The Lusha API |
| Claude or ChatGPT | The Lusha MCP connector |
Why emails bounce at scale
- The person left the company. The old work address shuts down, and the email bounces. Lusha measured 12.25% of US sales leaders changing roles over 12 months. See the B2B data decay report.
- The email was guessed. Some tools build addresses from a name pattern like first.last@ and never confirm them.
- The list has no grades. Without a confidence grade per email, you can’t drop the risky ones before you send.
- Personal and work addresses are mixed. Personal inboxes get flagged as spam faster in B2B outreach.
Five questions to ask any email data vendor
- What is your email accuracy figure, and how do you measure it?
- Does every email carry its own confidence grade and update date?
- Do you separate work and personal emails?
- Can I see which contacts have a work email before I spend credits?
- Can I run the same checks on records already in my CRM?
Find verified emails inside Claude or ChatGPT
With the Lusha connector, ask in plain English and get the same fields back: grade, date, type, and current title. Try “Find work emails for marketing directors at US software companies and keep only the highest-confidence ones.”
What to know before you rely on any email data
- Email coverage runs higher than phone coverage, and it still doesn’t reach every contact. Expect gaps for very small companies.
- Coverage is thinner outside North America and Western Europe.
- A confidence grade reflects the email on the day of the pull. Re-check lists older than a few months before a big send.
- Email outreach rules differ by country. Check your own requirements for each region you send to.
FAQ
What tools find verified emails at scale?
Tools that find verified emails at scale grade each email, date it, separate work from personal addresses, show the contact’s current role, and publish an email accuracy figure. Lusha does all five, with 98% email accuracy across 165M+ verified emails.
What’s the difference between an email finder and data enrichment?
An email finder returns an email address for a name and company. Data enrichment adds the email plus the rest of the record, such as title, role start date, phone, and company details. For outreach at scale, enrichment catches title changes that an email finder misses.
How do I verify a list of emails I already have?
Run the list through CRM or spreadsheet enrichment. Each record comes back with a current email, a confidence grade, an update date, and the contact’s current title, so you can drop the risky ones before you send.
How many credits does an email cost in Lusha?
An email reveal costs 1 credit. A phone reveal costs 5 credits.
Should I send B2B outreach to personal emails?
No. Use work emails for B2B outreach. Lusha labels each email as work or personal, so you can filter personal addresses out before you send.
Related reading
- Which tools find phone numbers reliably?
- How to find direct dials
- How fast B2B contact data decays
- What to use to enrich CRM records
- Lusha data: coverage and accuracy
Images and examples on this page are for illustrative purposes only. Example outputs are based on Lusha data, with personal details masked or abbreviated for privacy.
