Find Email Addresses for Any Professional
Find Email Addresses for Any Professional with Cleanlist's waterfall enrichment. Upload a CSV or connect your CRM — 30 free credits to start.
Start Free — 30 CreditsThe Problem
B2B prospecting bottlenecks at one point more than any other: finding the right email address. Sales reps spend 20% of their workday hunting for contact information — trying email permutations (firstname@company.com, f.lastname@company.com), searching LinkedIn, and guessing at company email patterns. Even when they find an address, there is no way to know if it is current without sending a message and waiting for a bounce.
How Cleanlist Solves This
Cleanlist's email finder takes a name and company (or just a company domain) and returns verified work email addresses in under 3 seconds. The system identifies the company's email pattern, generates candidate addresses, and verifies each one via SMTP before returning results. For contacts where pattern matching is insufficient, Cleanlist queries 15+ data providers to locate the address from alternative sources.
Why Email Pattern Guessing Fails for 40% of B2B Domains
The conventional wisdom in sales is to try firstname.lastname@company.com first, then first@company.com, then firstinitial.lastname@company.com. This covers the three most common B2B email conventions. But Cleanlist's analysis of email patterns across 200M+ company domains reveals that 40% of B2B domains use patterns outside these top three: first_last@ (common in enterprise), lastnamefirst@ (common in government and education), abbreviations (jsmith@), numbered accounts (john.smith2@), and country-specific variations. More importantly, 15% of domains have inconsistent internal patterns — the CEO might be john@company.com while the VP of Sales is jane.doe@company.com. Pattern guessing tools that assume uniform patterns across an organization miss these edge cases entirely. Cleanlist handles this by verifying each individual mailbox rather than relying solely on organizational pattern inference.
Source: Cleanlist domain pattern analysis, 200M+ company domains, 2026
How It Works
Enter Name + Company or Domain
Provide the person's name and their company name or domain. Cleanlist also accepts LinkedIn profile URLs and company domains for bulk lookup of multiple contacts at the same organization.
Email Pattern Discovery
Cleanlist identifies the company's email convention (first.last@, flast@, first_last@, etc.) by analyzing known addresses at the domain. Over 30 pattern variations are tested across 200M+ companies in the database.
Candidate Generation & Verification
Multiple candidate addresses are generated based on discovered patterns and common variations. Each candidate is verified via SMTP handshake to confirm the mailbox exists — only confirmed addresses are returned.
Multi-Provider Cross-Reference
If pattern matching does not yield a verified result, Cleanlist queries its network of 15+ data providers. Professional databases, publicly available information, and company directories are searched for alternative email addresses.
Confidence Rating & Alternatives
The primary result includes a confidence score. If multiple addresses are found (e.g., firstname@ and f.lastname@), all are returned with individual verification status so you can choose the most reliable option.
Key Benefits
98% Email Accuracy
Real-time email verification catches bounces, catch-alls, and disposable addresses before they cost you.
15+ Data Providers
Waterfall enrichment across multiple providers means higher match rates than any single-source tool.
No Code Required
Upload a CSV, connect your CRM, or use the API. Works however your team prefers.
30 Free Credits
Start enriching immediately. No credit card, no sales call, no commitment.
Manual Process vs Cleanlist
| Feature | Manual | Cleanlist |
|---|---|---|
| Time to find one email | 10-20 minutes of research per contact | Under 3 seconds (API) or instant (single lookup) |
| Accuracy of found addresses | Unverified guesses (50-60% deliverable) | Pre-verified via SMTP (98%+ deliverable) |
| Pattern detection | Trial-and-error with 2-3 common patterns | 30+ pattern variations tested against live mail server |
| Bulk lookup capability | Not scalable beyond a few per hour | Thousands per minute via batch upload or API |
| Coverage when pattern fails | Dead end — move to next prospect | Falls back to 15+ alternative data sources |
Frequently Asked Questions
How accurate is Cleanlist's data?
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Cleanlist achieves 98% email accuracy through real-time verification and cross-referencing across 15+ data providers. Every record is validated before delivery.
How many free credits do I get?
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Every new account starts with 30 free credits. Each credit processes one record (enrichment, verification, or lookup). No credit card required to start.
What data providers does Cleanlist use?
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Cleanlist uses waterfall enrichment across 15+ providers including major B2B data sources. The system automatically selects the best provider for each record to maximize match rates.
Can I connect my CRM?
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Yes. Cleanlist integrates with HubSpot, Salesforce, and other CRMs. Enriched data syncs back automatically. You can also upload CSV files or use the REST API.
How long does it take to find my data?
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Most jobs complete in under 2 minutes for up to 10,000 records. Larger files are processed in batches with progress updates.
What if the person has a common name — how do you find the right one?
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Cleanlist uses company domain as the primary disambiguator. When you provide 'John Smith at Acme Corp,' we look for John Smith specifically at acme.com — not all John Smiths globally. For very large companies with multiple John Smiths, providing a department or job title narrows the result to the correct person.
Can I find personal email addresses or only work emails?
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Cleanlist is designed for B2B prospecting and returns work email addresses by default. Personal emails (Gmail, Yahoo, etc.) are not returned for business contacts. For sole proprietors or freelancers who use personal email for business, Cleanlist may return their primary email if it appears in business directories.
How is this different from just guessing firstname@company.com?
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Guessing is unreliable because companies use dozens of different email patterns, and even if you guess the right pattern, the specific mailbox may not exist (the person may have left the company). Cleanlist first discovers the correct pattern for the domain, then verifies the specific mailbox via SMTP. This two-step process is why our found addresses have a 98%+ deliverability rate versus 50-60% for pattern guessing.
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