Real Agent Cases

Qualify scraped leads against your ideal customer before cold email with Claude Code

Source date:
Last verified:
Method:
How we verify

Evidence: Described by posterThe person describes what happened in words, without screenshots or video.

Outcome

Claude Code reads each scraped company's website and checks it against the poster's ideal customer profile, dropping about 30% of leads before outreach; the poster says reply rates roughly doubled and they booked 100+ meetings in 3 months.

Poster says:100+ meetings booked in 3 months

This is the source's own number. We haven't measured it.

Agent

Claude Code

Prompt Recreated prompt

The source did not publish its exact prompt. This one is our reconstruction from what the source describes.

Not sure how to start? Tell me what you're trying to get done and I'll help you turn it into a clear request.

Goal: Check each lead's website and keep only the companies that fit my ideal customer.

Quick check first: How would you describe your ideal customer in two or three points?

What I need from you:
- Your lead list with company websites
- Your ideal customer profile

Rules:
- Read each company's website and decide fit or no fit, with a one-line reason.
- Mark unclear ones as "check" instead of guessing.
- Don't contact anyone or upload to the outreach tool.

Output: Your lead list with fit, no fit or check, and a reason for each.

If any of this is unclear, tell me what you have and I'll help fill the gaps.

You'll know it worked when: only well-matched companies are left for outreach.

Source

https://x.com/ZaidAD_/status/2062271127213236350

By Zaid (@ZaidAD_) · Published Jun 3, 2026 · Added Oct 16, 2026 · Last verified Oct 16, 2026

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