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Vemtrac Labs
Vemtrac Labs

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How to Find and Verify Marketing Agency Email Addresses for Cold Outreach

finding verified email addresses for marketing agencies is the hardest part of cold outreach. here's my process for building a list of 798 contacts across 54 countries.

step 1: identify target agencies

search google for digital marketing agency [city] [country]. the first 2-3 pages give you 10-20 agency websites per city.

target cities with established agency scenes: london, sydney, new york, toronto, mumbai, singapore, dubai.

step 2: find emails on their websites

check these pages in order:

  1. /contact or /contact-us
  2. /about or /team
  3. homepage footer

use this regex to extract emails from page source:

import re
pattern = r'[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}'
emails = re.findall(pattern, page_text)
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step 3: filter garbage

raw regex catches image filenames and tracking pixels. filter out:

  • anything containing .png, .jpg, .svg, .avif
  • sentry, cloudflare, googleapis domains
  • generic no-reply addresses 
def is_valid_email(email):
    junk = ['.png','.jpg','.avif','.svg','sentry','cloudflare','googleapis']
    return not any(j in email.lower() for j in junk)
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step 4: verify with a site scan

before emailing, scan their website for SEO issues. this gives you personalization data:

  • missing alt text on images
  • no meta descriptions
  • broken heading hierarchy
  • missing schema markup

referencing specific issues in your pitch gets 3-5x more replies than generic templates.

step 5: organize by geography

group contacts by country and city. this lets you:

  • customize timezone-aware sending
  • reference local market knowledge
  • batch by region for A/B testing

the result

using this process over 2 weekends, i built:

  • 798 verified agency contacts
  • coverage across 54 countries
  • email + website + city for each entry

get the data

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