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Prompt

Expand into adjacent markets using lookalike accounts

Tools: Claude ▪ Lusha

Lookalikes normally answer “who else looks like my best customers, inside the market I already know.” Market expansion asks a harder question: who looks like my best customers, in a market I haven’t sold into yet, where I have zero closed-won data to build from. The pattern still transfers — a company’s size, tech stack, and growth signals matter regardless of which region or vertical it sits in — it just needs to be applied somewhere the model hasn’t been tested. Connect Lusha to Claude and this prompt takes your proven customer pattern and searches for matches specifically inside a new market you name.

The prompt

Here are my top 20 customers: [paste company names or domains].

I want to expand into a new market: [describe it, e.g. the UK, or the
healthcare vertical], where I don't have existing customers yet.

Using the Lusha connector, find lookalike companies matching my top 20
customers, filtered specifically to that new market. Return a table
with company name, match score, and which attributes matched my
existing customer pattern.

Finish with the ten strongest matches and a one-line reason each one
fits, even without a track record in this market yet.

What you’ll get back

The situation: a sales leader pastes their top 20 customers and asks for lookalike matches specifically inside the UK market, ahead of a regional expansion push.

The output:

Example output

Found 34 UK-based companies matching your customer pattern

[Company AA] — 91% match. Same size band, same core tech stack, same growth stage as three of your top customers.

[Company AB] — 87% match. Matches on industry and revenue range, differs on team size.

Eight more with the same structure, each with a match score and matched attributes.

Top 10 to prioritize: [Company AA] first, highest match score. Nine more ranked behind it, each with a one-line reason.

Example outputs in this play are illustrative — they reflect the structure, fields, and format of real Lusha connector output, but were not pulled from a live session. Run the prompt with your own customer list to see live results.

Why it works

Market expansion usually starts with a firmographic guess — a target list built on size and industry alone, with no evidence any of it will actually convert. This prompt starts from proof instead: the pattern behind companies that already bought, applied to a market that hasn’t been tested yet. The match still isn’t a guarantee — nothing about a new market is — but it’s a list built from what’s already worked, not a blank filter. Contact and company data is verified across multiple sources and handled under GDPR, CCPA, SOC 2 Type II, and ISO 27701 compliance.

FAQ

  • How is this different from standard lookalike prospecting?

    Standard lookalikes search your whole addressable market for matches. This one filters specifically to a market you haven’t sold into yet, which is the actual use case for expansion planning rather than everyday prospecting.

     

     

     

     

  • Does a high match score guarantee the account will convert?

    No — it means the account matches the pattern behind your existing wins, which is a stronger starting point than a generic filter, not a guarantee. Treat this as a prioritized list to test, not a forecast.

  • What counts as a "new market" for this prompt?

    Anything you don’t have meaningful closed-won data in yet — a new country, a new industry vertical, or a new company-size segment you haven’t sold into before.

  • How many seed customers do I need?

    The same minimum as standard lookalikes: five reference companies, though a larger and more consistent customer base produces a sharper pattern to match against in an untested market.

  • Is this available for contacts too, not just companies?

    This version is company-level, matching the market-expansion use case. For a contact-level equivalent, see the standard lookalike contacts signal and filter its output to your target market manually.

Related Prompts

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