Find contacts who match the profile of your best buyers. Built from the actual people who converted, not a generic title or seniority filter.
Typical use case: Find more people who look like the champions who already said yes.
What it tells you
A title filter finds every VP of Sales in a category. A lookalike model finds the ones who look like the VPs of Sales who actually bought from you — same role patterns, same signal history, same context that made them a fit. It’s a sharper list built from proof, not assumption.
What Lusha detects
Lusha analyzes a provided list of your best customer contacts and surfaces new contacts matching the same role, seniority, and signal patterns.
Best for
- Sales — Build contact lists that mirror your best buyers.
- Marketing — Target campaigns at high-fit lookalike personas.
- RevOps — Feed lookalike contact scoring into lead prioritization.
Turn this signal into action
Expand from your best champions
Feed in your highest-value customer contacts and get back new contacts matching their profile.
Sharpen persona targeting
Use lookalike contacts to refine who counts as your ICP persona, based on who actually bought, not who you assumed would.
Prioritize inbound by contact fit
Score inbound leads higher when they match your lookalike contact pattern.
Available data
Match score · Matched attributes · Seed contact reference · Contact role and seniority
Available in
API · MCP · Workspace (Enrichment).
Related signals
Lookalike companies · Promotion · Job changes · Surge in hiring
