Execution Prompts · Clay

Check Clay MCP connection. Run get-credits-available to confirm credit
balance before starting any enrichment. Report the number of credits
available.

We need approximately 558 credits for the full enrichment pipeline.
If credits are below 600, flag this before proceeding.

I have 6 existing medical contacts for the 8630 N Green Hills Road property.
Enrich each company using Clay MCP tools.

Run find-and-enrich-company for each of these domains:

  1. tauc.com      (Total Access Urgent Care · Joe Godfrey)
  2. nextcare.com  (Next Care Urgent Care · Greg Valladao + Phil Lesnik)
  3. atipt.com     (ATI Physical Therapy · John Alarik)

For each, request data points:
  - Headcount Growth
  - Annual Revenue
  - Open Jobs
  - Recent News
  - Custom: "Number of Locations"
  - Custom: "KC Metro Locations"
  - Custom: "Expansion Plans"

Then run find-and-enrich-contacts-at-company with
job_title_keywords: [VP Real Estate, Director Site Selection,
Franchise Development, Chief Development Officer, VP Operations,
Regional Director, VP Development]

Output → /enrichment_results/01_existing_contacts_enriched.md

Using the domains discovered from Apify Scrape 1C (med spa results),
run find-and-enrich-company for each med spa domain.

For each, request:
  - Headcount Growth · Annual Revenue · Open Jobs · Recent News · Investors
  - Custom: "Number of Locations"
  - Custom: "Services Offered"
  - Custom: "Franchise Status"

Process in batches of 5–10 companies. Report after each batch.

After company enrichment, run find-and-enrich-contacts-at-company
with contactFilters:
  job_title_keywords: [Owner, Medical Director, Practice Owner, Founder,
                       CEO, Franchise Owner, Director of Operations, Office Manager]
  locations: [Kansas City, Missouri, Kansas, Overland Park]
  current_role_min_months: 6

Output → /enrichment_results/03_medspa_enriched.md

C6 (franchise) job_title_keywords:
  ["VP Real Estate", "Director Site Selection",
   "Franchise Development", "Chief Development Officer",
   "VP Development", "Regional Director",
   "VP Operations", "Real Estate Manager"]

C7 (REIT) job_title_keywords:
  ["VP Acquisitions", "Director Acquisitions",
   "Managing Director", "Chief Investment Officer",
   "Portfolio Manager", "SVP",
   "Senior Vice President"]

Both: contactDataPoints = ["Email"]
       companyDataPoints = ["Recent News", "Annual Revenue"]

After all enrichments are complete, identify the top-10 highest-scoring
medical prospects from the master list.

Run ask-question-about-accounts with their account IDs:

{
  "accountIds": [{{TOP_10_ACCOUNT_IDS}}],
  "question": "Is this medical practice actively expanding,
    opening new locations, hiring new providers, or showing any signals
    of needing additional office space in the Kansas City area? Check for
    recent news, job postings for KC positions, new LLC registrations
    in Missouri, real estate lease activity, franchise development
    announcements, Certificate of Need applications, or social posts
    about growth. Also check current office ownership/lease status."
}

For each account, generate a 3-sentence intelligence brief:
  1. Current state
  2. Growth signals (or "no expansion signals detected")
  3. Recommended outreach approach

Output → /enrichment_results/09_top10_intelligence.md

Read all enrichment results from /enrichment_results/.
Merge into the MASTER_MEDICAL_PROSPECT_LIST from Apify Phase 4.

# Add these Clay-enriched columns to every prospect
  - company_revenue, company_headcount, headcount_growth
  - location_count, provider_count, open_jobs_count
  - expansion_signals, franchise_status
  - decision_maker_name, decision_maker_title
  - decision_maker_email, decision_maker_linkedin
  - intelligence_brief (from C9, top-10 only)

# Re-score every prospect
  Original Google Maps score (base)
  Revenue > $1M:           +10
  Headcount growing:        +10
  Multiple locations:       +10
  Open jobs in KC:          +15
  Franchise (expansion):    +10
  Verified DM email:        +10
  LinkedIn profile found:   +5

# Re-assign tiers based on new scores

# Update both files
  /MASTER_MEDICAL_PROSPECT_LIST.md
  /MASTER_MEDICAL_PROSPECT_LIST.csv

# Generate final pipeline summary
  - Total unique prospects · by category · by tier
  - Total with verified DM email · phone · LinkedIn
  - Top-25 hottest prospects with full detail
  - Recommended immediate outreach list
    (Tier A · verified email · growth signals)