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.
Expand into adjacent markets using lookalike accounts
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 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 use Lusha in Claude
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
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.
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.
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.
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.
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.
Ready to run this?
One data connection. Works in Claude, ChatGPT, your CRM, or any agent you build.
