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Prompt

Find more contacts like your best buyer

Built by: Lusha
Time to build: 1 min
Difficulty: Easy
Tools: Claude ▪ Lusha

A Claude prompt that takes one known buyer — a champion, a closed-won contact, an active responder — and returns a verified list of more contacts at other companies with the same role, seniority, and company profile.

Once Lusha is connected in Claude, the connector runs in the background — no special syntax needed. Just paste the prompt and run.

Images on this webpage are for illustrative purposes only. Any named individuals shown in live demo outputs are real, with last names abbreviated for privacy.

The prompt

Open in Claude Open in ChatGPT 
<context>
Find more contacts matching the profile of a known buyer or champion.
</context>

<task>
1. Seed contact:
   Name [BUYER NAME], Title [TITLE], Company [COMPANY],
   Industry [INDUSTRY], Headcount [RANGE], Geography [REGION].
2. Find contacts matching the seed profile:
   same/adjacent title, same seniority, same industry,
   similar headcount, same geography.
3. For each match, return:
   Full name | Title | Company | Email | Direct dial / mobile.
4. Limit to 25. Exclude contacts at companies in my customer list.
</task>

<constraints>
- Validated emails only.
- Skip the seed contact.
- If fewer than 10 results, flag which filter to relax.
</constraints>

What you'll get back

Input: Seed buyer — Global Head of Revenue Operations at Company A. Profile — RevOps leadership, VP/Director level, Software Development, 501–5,000 headcount, US.

Output: 519 contacts matching the seed profile. Below is a real slice of the live result — eight verified RevOps leaders at named US B2B SaaS companies, all with validated work emails and phones.

ContactTitleCompanyValidated emailPhone
Tyler W.VP of Revenue Operations[Customer messaging SaaS]✓✓
Saad S.VP of Revenue Operations[Cloud analytics SaaS]✓✓
Tori M.Global Head of Revenue Operations[Business planning SaaS]✓✓
Sungwoo C.VP of Revenue Operations[Collaborative database SaaS]✓✓
Andrew R.VP of Revenue Operations[Customer data platform]✓✓
Niall M.Head of Strategy and Revenue Operations[AI/GPU infrastructure]✓✓
Rajesh M.Head of GTM Strategy and Revenue Operations[API developer tools]✓✓
Laura F.Head of Revenue Operations and Strategy[Dev workflow SaaS]✓✓

Names and company identifiers abbreviated for privacy. Full records — including emails and direct dials — are returned inside your Claude session.

Why it works

Persona prospecting at scale usually means filtering by title and hoping. Pairing the seed buyer’s full profile — role, seniority, industry, company size, geography — with Claude’s reasoning step produces a list calibrated to who actually closed, not who matched a keyword.

The prompt pulls candidates from 300M+ verified contacts under GDPR, CCPA, SOC 2, ISO 27701, ISO 31700, and TRUSTe — verified email plus validated phone on every row that passes the filter.

The result reads like a list of named buyers at named companies, not a guess at who might fit.

FAQ

  • How is this different from a regular contact search?

    A title-only search returns everyone who carries the title. This prompt uses the seed buyer’s full profile — title, seniority level, industry, headcount band, geography — so the match is to the person’s full work context, not just the words on their LinkedIn header.

  • Can I seed with more than one buyer?

    The prompt is built around one seed for sharpness. If you want to expand from multiple seeds, run the prompt once per seed and combine. Claude can deduplicate the combined list in one follow-up step.

  • Why not seed with a LinkedIn URL or contact ID?

    Profile attributes — title, seniority, industry, size, geography — produce sharper matches than seed-only modeling for contacts. The seed buyer’s profile is what defines the target persona. LinkedIn URLs and contact IDs are useful for direct enrichment, not for finding more contacts like a person.

  • What if the seed is in a niche industry or rare role?

    Lusha returns only verified matches. If the persona pool is thin, the result will come back with fewer rows rather than padding with low-confidence matches. Use the filter-relax suggestion built into the prompt — usually widening headcount or geography brings the count back up without losing fit.

  • Can I exclude existing customers?

    Yes. Add the customer domains in the constraint block and Claude will route them to the exclude logic.

Related Prompts

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