Find local businesses with a provable weakness

Where the list comes from

Google Maps and local directories, filtered on rating and review volume before anything is enriched.

The steps

1. 1

   Orient

   Confirm the inputs, compute the expected cost, and tell the user what the run will do before anything spends a credit.

2. 2

   Scrape local sources

   Find Local Businesses by City or Region is the workhorse at 0.05c, it turns plain English into multiple Maps searches, runs them per location, merges, dedupes and stops at your count.

3. 3

   Extract fields

   Maps returns business name, address, phone, website, rating, review count and category. Verify each landed in its own column, downstream steps depend on Review Count and Rating specifically.

4. 4

   Remove closed businesses and duplicates

   Check Domain Status (FREE), parked or dead domain is a strong signal the business is gone, or that the website is the opportunity. Keep the status; do not just delete on it. deduplicate_auto on phone, then website.

5. 5

   Enrich website and business data

   Normalize Website URL (0.1c), Official Website Finder (1c) where Maps returned none, though no website is itself the strongest signal for a web design agency, so record that fact before trying to find one.

6. 6

   Detect weakness signals

   Run only the signals the agency can actually fix.

7. 7

   Find the owner and contact details

   Local businesses rarely have a findable named decision-maker. Public Company Emails (0.5c), scrapes emails off the website.

8. 8

   Opportunity gap score

   Note the deliberate asymmetry: a weak online presence raises the score, but a weak business lowers it. Without the subtraction this SOP produces a list of businesses that cannot pay.

9. 9

   Run the shared outbound tail (adapted)

   Personas: Owner, Founder, Practice Manager, Director, Marketing Manager. Signal column: the specific weakness plus its evidence. Email path: try Public Company Emails (0.5c) before the tail's Professional Email (5c).