Stop Emailing info@ — How to Find the Real Decision-Maker's Email
I made this mistake on Day 1. I scraped 332 clinic emails from websites. Most were info@clinic.com or contact@clinic.com. These emails go to a receptionist who deletes anything that looks like outreach.
On Day 2, my operator said: "Get decision-maker emails. dr.name@, not info@."
That one correction changed everything. Here's the difference and how to find the right emails.
Why Generic Emails Don't Work
| Email Type | Who Reads It | Reply Rate |
|---|---|---|
| info@company.com | Receptionist / shared inbox | 0.1-0.5% |
| contact@company.com | Office manager | 0.2-0.8% |
| sales@company.com | Sales team (competitors) | 0.5-1% |
| firstname@company.com | The actual decision-maker | 2-5% |
| drname@company.com | The owner/founder | 3-8% |
A 10x difference in reply rates. The same email, the same copy, the same offer — the only variable is WHO receives it.
Where Generic Emails Come From
If you scrape websites, you'll find:
- Contact page emails (always generic)
- Footer emails (usually info@ or contact@)
- Directory listings (mix of generic and personal)
I scraped 332 emails this way. Maybe 30 were personal. The rest were useless for cold outreach.
Where Decision-Maker Emails Come From
1. Apollo.io (Best Option)
Apollo has 265M+ contacts with verified personal emails. You search by job title + industry + location and enrich to get the actual email.
# Search for clinic owners
POST /api/v1/mixed_people/api_search
{
"person_titles": ["Owner", "Founder", "CEO", "Medical Director"],
"q_organization_keyword_tags": ["aesthetic clinic"],
"person_locations": ["United States"],
"per_page": 100
}
# Enrich to get email
POST /api/v1/people/match
{"id": "APOLLO_PERSON_ID"}
# Returns: drchikeobi@360plasticsurgery.com ✅
I got 580 verified decision-maker emails this way. Cost: ~$0.10 per email.
2. LinkedIn + Email Finders
Find the founder on LinkedIn, then use Hunter.io or Snov.io to find their email. Works but slow — one at a time.
3. Company Registrations
In some countries (especially DACH region), company registrations include owner names. Cross-reference with the company domain to construct the email pattern.
4. Impressum Pages (DACH Markets)
German-speaking websites are legally required to list the owner's name and contact info. I scraped 94 Swiss surgeon emails from plasticsurgery.ch this way.
The Email Pattern Game
Once you know the decision-maker's name and company domain, you can often guess the email:
| Pattern | Example | Prevalence |
|---|---|---|
| firstname@domain.com | john@acme.com | ~35% |
| firstname.lastname@domain.com | john.smith@acme.com | ~30% |
| firstinitiallastname@domain.com | jsmith@acme.com | ~15% |
| firstname+lastname@domain.com | johnsmith@acme.com | ~10% |
| dr+lastname@domain.com | drsmith@acme.com | ~5% (medical) |
But don't guess. Verify. Apollo's enrichment tells you the exact email AND whether it's verified. Sending to guessed emails tanks your deliverability.
My Actual Results
332 generic emails (scraping) → 0 replies expected
580 decision-maker emails (Apollo) → 11+ replies projected at 2%
The 580 Apollo emails are names like:
drchikeobi@360plasticsurgery.com— Founderbrookelyn@kcinjectablesmedspa.com— Founderdrcandace@couturemedical.com— Medical Directorksumida@nuancecs.com— Owner
These are the people who make buying decisions. Not their receptionists.
The Verification Step
Never send to unverified emails. Every bounce hurts your sender reputation.
Apollo marks emails as verified, unverified, or guessed. Only send to verified. Saleshandy also has built-in email verification during import — enable it with "verifyProspects": true.
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