Find work emails when they are not on the company website
Most company websites list names and titles but not email addresses. Use this two-step workflow to find verified work emails for decision makers even when contact information is not publicly displayed.
Prerequisites
- A list of company websites or domains
- PromptLoop account with task creation and managed task access
Steps
Step 1: Find decision makers from company websites
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Create a task to extract people from company websites. Navigate to Tasks and click Create New Task.
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Define what to extract. Configure your task to return:
- First Name
- Last Name
- Title or Role
- Company Domain
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Specify where to look. Target pages like:
- About Us or Team pages
- Leadership sections
- Contact pages with staff listings
PromptLoop automatically will navigate to these pages for you if you ask for this information.
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Test and refine on 5-10 company websites to ensure accurate name extraction.
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Run on your full list of companies. This creates a dataset with decision maker names.
Step 2: Enrich with verified email addresses
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Navigate to your dataset containing the extracted names (first name, last name, domain columns).
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Click Managed Tasks in the dataset toolbar.
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Select Email enrichment to find verified work email addresses.
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Review the preview showing estimated enrichment count and credit usage.
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Run the enrichment. PromptLoop queries multiple premium data providers to find matching, verified email addresses.
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Review results. New email column appears with work addresses (firstname@company.com format).
Step 3: Export or sync to CRM
Once you have verified emails:
- Download CSV to use in email campaigns
- Sync to HubSpot to create or update contact records
- Sync to Salesforce to add leads or contacts
- Export to outreach tools like Salesloft or Outreach
Example
You have 100 B2B software companies and want to reach VP of Sales contacts.
Step 1 Task Output:
First Name | Last Name | Title | Domain |
---|---|---|---|
Sarah | Johnson | VP of Sales | acmesoftware.com |
Michael | Chen | Head of Sales | techcorp.io |
Jennifer | Martinez | SVP Sales | datasolutions.com |
Step 2 Enrichment Results:
First Name | Last Name | Title | Domain | |
---|---|---|---|---|
Sarah | Johnson | VP of Sales | acmesoftware.com | sarah.johnson@acmesoftware.com |
Michael | Chen | Head of Sales | techcorp.io | m.chen@techcorp.io |
Jennifer | Martinez | SVP Sales | datasolutions.com | jmartinez@datasolutions.com |
Now you have verified emails to start outreach campaigns.
How email enrichment works
PromptLoop uses a waterfall of premium data providers including Hunter, Wiza, Datagma, ContactOut, and PeopleDataLabs to find and verify email addresses.
You only pay for successful finds. If no verified email is found, you are not charged.
Success rates typically range from 60-85% depending on:
- Company size (larger companies have higher match rates)
- Industry (tech and B2B have better coverage)
- Role seniority (executives easier to find than junior staff)
Quality checks
After enrichment:
- Verify email format looks correct (no typos, proper domain)
- Check that blank rows correlate with smaller companies or less common names
- Spot-test a few emails to confirm deliverability
- Remove any generic emails (info@, contact@) if they appear
Tips
- Target specific roles in Step 1 (VP, Director, Manager) for better enrichment rates
- Large companies (100+ employees) have higher email match rates
- Consider filtering by title before enrichment to reduce costs
- Re-run enrichment on failed rows after a few weeks as databases update
FAQs
Can I find personal emails?
No. The enrichment only returns business email addresses associated with the company domain. Personal Gmail, Yahoo, or other free email addresses are not included.
What if the person has recently changed companies?
Email enrichment uses the domain you provide. If someone left the company, their old email may still appear. Always verify current employment before outreach.
Can I enrich without first names?
No. The email enrichment requires first name, last name, and company domain. All three fields are necessary for accurate matching.