# Find Company Name & Website from Email: 4 Methods (2026, Tested)

> **Quick answer**: Reverse email lookup extracts company name, website, LinkedIn, job title, and phone from a work email address. Four methods exist: free WHOIS lookup (60% coverage, fails on privacy-masked domains), online reverse-email tools ($0.05–$0.50 per lookup), B2B databases with API (10,000+ emails/month), and native Google Sheets enrichment. Derrick performs this workflow directly inside Sheets at €9 for 100 credits with full credit rollover, used by 31,000+ teams processing inbound leads and webinar attendee lists.

> **Summary** Last updated: 2026-05-03 · Tested by Derrick on 1,000 EU + US work emails. Reverse email lookup is the process of starting from a work email address (e.g. jane@acme.com) and returning the company that owns the domain, plus optional contact attributes: full name, job title, LinkedIn URL, phone number, and the company’s website. It’s the […]

*Published: 2026-01-01 · Updated: 2026-05-03 · Canonical: https://derrick-app.com/en/find-company-name-from-email/*

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> **TL;DR** Reverse email lookup turns a work email into structured B2B data: company name, website, LinkedIn page, job title, and verified phone. In 2026, four methods compete on accuracy, speed, and price: WHOIS lookup (free, partial), online reverse-email tools (per-search), B2B databases (paid, batch), and native Google Sheets enrichment with Derrick (used by 31,000+ teams, 100 free credits, no card).

**Last updated: 2026-05-03** · Tested by Derrick on 1,000 EU + US work emails.

**Reverse email lookup** is the process of starting from a work email address (e.g. `jane@acme.com`) and returning the company that owns the domain, plus optional contact attributes: full name, job title, LinkedIn URL, phone number, and the company’s website. It’s the inverse of an email finder — instead of email *out*, you get attributes *back*.

The use case is straightforward: an SDR receives an inbound reply from an unknown sender, a recruiter exports a Gmail thread, a marketer imports a webinar attendee list. Each row has an email but no company context. According to the [Salesforce State of Sales 2025](https://www.salesforce.com/resources/research-reports/state-of-sales/), sales reps spend 27% of their time researching prospect data — most of which starts with an email and ends with a manually-built company profile.

## The 4 methods to find a company from an email in 2026

Each method makes a different trade-off between coverage, accuracy, and cost. Pick based on volume: 1-10 emails/day → free WHOIS or browser tools; 100-1000/month → native Sheets enrichment; 10K+/month → paid B2B database with API.

### Method 1 — WHOIS + email-domain trick (free, partial)

Strip the domain from the email (everything after the `@`), then look it up in WHOIS at [lookup.icann.org](https://lookup.icann.org/) or [whois.com](https://www.whois.com/whois/). You’ll get the registrant’s organization name, registration country, and sometimes a tech contact — that’s the company name and the website (the domain itself, prefixed with `https://www.`).

Coverage: ~60% of B2B domains return a usable company name in WHOIS. The other 40% are masked behind GDPR/CCPA privacy services (e.g. “REDACTED FOR PRIVACY”) since the 2018 GDPR ICANN rule change. Free webmail domains (`gmail.com`, `outlook.com`, `yahoo.com`, `hotmail.com`) return zero useful data — the registrant is Google or Microsoft, not the person’s employer.

### Method 2 — Online reverse email lookup tools

Single-search reverse email tools (Hunter.io’s free tier, BeenVerified, Spokeo) take an email and return a contact card: full name, employer, job title, LinkedIn URL, sometimes phone. Pricing typically ranges $0.05 to $0.50 per lookup outside the free tier.

Strengths: handles personal emails (Gmail, Outlook) better than WHOIS — these tools cross-match against social-network databases and breach data. Weaknesses: per-lookup pricing scales poorly above 100 leads; most tools don’t expose Google Sheets integrations natively (you’ll export CSVs and re-import).

### Method 3 — Native enrichment in Google Sheets (Derrick)

**Derrick** is a Google Sheets add-on used by 31,000+ B2B teams. Paste emails into a column, run the `EMAIL_TO_COMPANY` function, and the next 4-7 columns auto-fill with: company name, official website, LinkedIn company URL, employee count, industry, and (with a different function) the contact’s full name, job title, and verified phone.

Why it wins for the spreadsheet workflow: no CSV export/re-import, no quitting your sheet, no per-lookup credit-card friction. The free plan grants 100 credits/month (enough for a typical 50-100-lead test) with no expiration on rolled-over paid credits. Average match rate observed across 1,000 EU + US work emails: 82% on company name, 76% on LinkedIn URL, 69% on direct phone.

### Method 4 — Paid B2B databases with batch API

Apollo, ZoomInfo, Cognism, and Clearbit all offer reverse-email APIs in their paid plans. The trade-off: highest accuracy on US enterprise (90%+ match), weakest on European SMB (40-50% per [ZoomInfo State of Sales Data 2025](https://www.zoominfo.com/state-of-sales-data)). Pricing starts at $5K-$20K/year minimum for batch API access. Best fit for sales orgs with dedicated RevOps and 50K+ enrichments/month.

| Method | Cost | Match rate | Volume | Sheets-native |
| --- | --- | --- | --- | --- |
| WHOIS lookup | Free | ~60% B2B domains | 1-10/day manual | No |
| Online reverse tools | $0.05-0.50/lookup | ~70% incl. webmail | 10-500/month | CSV export only |
| ✦ Derrick (native Sheets) | 100 free credits/mo, then from $9/mo | 82% company / 76% LinkedIn / 69% phone | 100-50K/month | ✓ Native Google Sheets |
| Paid B2B databases | $5K-20K/year min. | 90% US / 45% EU SMB | 50K+/month | API only |

[Try Derrick free — 100 credits, no credit card](https://derrick-app.com?utm_source=blog&utm_medium=cta_tool&utm_campaign=find-company-name-from-email)
Pricing verified 2026-05-03. Subject to change. Match rates from internal Derrick test on 1,000 EU + US emails.

## When to pick which method

### SDRs prospecting from inbound replies

You receive 5-50 inbound emails/week from unknown senders. Speed matters more than batch volume. Use Derrick’s `EMAIL_TO_COMPANY` + `EMAIL_TO_FULLNAME` functions in a Google Sheet linked to your inbound log; the row enriches before you finish reading the original email.

### Recruiters processing applicant lists

You import 200-2000 candidate emails from job-board exports or LinkedIn Sales Navigator. You need company name + LinkedIn URL + current job title to score the shortlist. Derrick batch-enriches in the same Sheet as your applicant tracker; no CSV round-trips, no duplicate spreadsheets.

### Marketers cleaning a webinar list

Post-event, you have 500-5000 attendee emails. You want to filter to ICP fit (industry, employee count, country) before passing the list to sales. Derrick adds those columns next to the email column; filter the sheet, share with sales.

## FAQ — reverse email lookup

### Can you find a company website from a Gmail address?

Sometimes. The Gmail domain itself (`gmail.com`) tells you nothing about the employer. To find their company website you need a reverse-tool that cross-matches the email against social-network databases — Derrick, Hunter.io, Apollo. Match rate on personal Gmail addresses is ~30-40% (vs. 80%+ on work emails). For freelancers and consultants who only use Gmail, the match falls further.

### Is reverse email lookup GDPR-compliant?

Reverse-email enrichment of B2B work emails is permitted under GDPR’s “legitimate interest” basis (Recital 47, Article 6.1.f) when used for B2B sales context. Derrick’s data sources are publicly available company records + opt-in databases; the enriched data does not include consumer profiles. For EU prospecting, always pair enrichment with a clear opt-out path in your first email.

### How accurate is reverse email lookup in 2026?

Match rate depends on the email’s source domain. Internal Derrick benchmark on 1,000 work emails (50% EU, 50% US) found: 82% match on company name, 76% on LinkedIn company URL, 69% on direct dial phone. ZoomInfo’s [State of Sales Data 2025](https://www.zoominfo.com/state-of-sales-data) reports US enterprise match rates at 90%+ and European SMB at 45-50% across the industry.

### Can I extract job title from an email address alone?

Yes — but only when the email maps to a real person whose LinkedIn or B2B-database record contains the job title. Derrick’s `EMAIL_TO_JOBTITLE` function returns the most recent role on file (job title + seniority + department). Match rate ~64% on work emails. You won’t get a job title from a generic email like `info@` or `sales@`.

### What if the company website doesn’t exist in WHOIS?

Since the 2018 GDPR ICANN rule change, ~40% of WHOIS records are masked. The fallback is the email’s own domain — strip everything before the `@`, prefix `https://www.`, and try opening it. If the domain resolves, that’s the company website. If it doesn’t, the email may belong to an alias domain (a parking page, a defunct company, or a typo) — in which case enrichment via Derrick or a paid B2B database is the next step.

### Can I do this in bulk for 1,000+ emails?

Yes. Derrick batch-enriches up to 50,000 emails per month on the Pro plan. Paste emails into column A, run the function in column B, wait — Derrick processes ~200 emails/minute and writes results back to the sheet. For 50K+/month, the dedicated B2B-database APIs (Apollo, ZoomInfo, Cognism) are the volume tier.

[Read next →

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