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Play · Prospecting & research
For sellersClaude

Score 30 warm names with AI before you reach out

Picked and checked by Olga Pearson, SalesUpLevel

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The resultas reported

Reported: "Last month: 20 calls, 6 new clients, 30% close rate. Not one from a purchased list."

Skip bought lists. Take the warm names you already have, write an ICP that rules people out, and have Claude score each one with the signals behind the score. Then send ten personal notes to the best.

By Neeraj Shah, Founder (LinkedIn) · Neeraj Shah on LinkedIn ↗ · Aug 6, 2026

If you sell: run it before your 10am

  1. Collect warm names only: association or chapter directory, your last 20 enquiries, content downloads, quotes that went quiet. ("Thirty warm rows beat three thousand scraped.")
  2. Keep only rows with a name and a company.
  3. Write an ICP that rules people out: HEAVY signals, MEDIUM signals, and clear exclusions.
  4. Ask Claude to score each name out of 100, list the signals it found, and give a confidence flag.
  5. For the top names, find where they actually answer (email, WhatsApp, LinkedIn).
  6. Write one personal first line each and send ten.
Copy-paste prompt · Our template version (the post gives the steps; the prompt is behind a "Comment LEADS" gate)
Here is my ICP. HEAVY signals (20 points each): [list]. MEDIUM signals (10 each): [list]. Rule out anyone who: [exclusions]. Score each person below out of 100. For each give the score, the signals you found with where you found them, and a confidence flag (high/medium/low). Do not guess signals you cannot see; mark them unknown. Names: [name, company, how we know them]

If you lead a team: roll it out

  1. Ask each rep to bring their top 10 scored warm names to the weekly pipeline meeting.

Watch out for

  • One month of results from one founder-led firm.
  • The post gates the full prompt behind "Comment LEADS"; we wrote our own.
  • A commenter's tip worth trying: run the same list with two ICPs and compare.

Source: Neeraj Shah, Neeraj Shah on LinkedIn, Aug 6, 2026. Results are as reported by the source; we did not measure them.

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