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Turn Closed-Won Accounts into Net-New Pipeline with Lusha Lookalikes

Turn Closed-Won Accounts into Net-New Pipeline with Lusha Lookalikes

Turn your closed-won accounts and top-converting contacts into a repeatable prospecting engine — Lusha's proprietary lookalike algorithm finds similar companies and people so you can replicate what's already working.

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Finding net-new accounts and contacts that fit your ICP is one of the hardest parts of outbound — most teams either rely on static lists or manually hunt for companies that "feel similar" to their best customers. The signal is already in your CRM; it's just not being used.

This Claybook solves that by using Lusha's Find Company Lookalikes and Find People Lookalikes — two table source actions that generate net-new rows from your seed inputs. Feed in 5–100 of your best customer domains or top-converting contacts' LinkedIn URLs or emails, and Lusha's proprietary algorithm returns similar companies matched by firmographic profile, or similar people aligned by title, seniority, and company context. From there, Clay enriches the results, scores them against your ICP, and pushes them to your sequencer — or Clay's own — for personalized outreach.

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How it works: 

  • Seed your lookalike search with 5–100 of your best customer domains (for account-level prospecting) or your top-converting contacts' LinkedIn URLs or emails (for people-level prospecting).
  • Generate net-new lookalike rows using Lusha's Find Company Lookalikes or Find People Lookalikes — both are table source actions, meaning they create new records matched by firmographic profile, title, seniority, and company context rather than enriching existing ones.
  • Enrich the results by running Lusha's Enrich Company or Enrich Person actions — or any other Clay enrichment provider — to layer in full firmographic and contact data on every returned record.
  • Score each record against your ICP using a formula or AI column to rank accounts and contacts by fit — filtering out noise before anything hits your sequencer.
  • Push to outreach by routing qualified accounts and contacts to your sequencer of choice — or directly into Clay's built-in sequencer — for personalized, high-relevance campaigns.

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Information
Follow the step by steps here in Clay
Download the free template
1

Step 1: Copy this template

First, copy this template in Clay. 
If you’re already a user, you’ll be directed to your workspace. If not, you’ll be prompted to create a free Clay account.
The interactive demos on the right will walk you through each step of this Claybook. 

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Step 2: Seed your search and generate net-new lookalike rows

Use the Lusha: Find Company Lookalikes or Lusha: Find People Lookalikes action as your table source, inputting your best customers and top-converting contacts as seeds to generate net-new rows. Customize your lookalike search using the following available inputs:

Find Company Lookalikes:

  • Seed company domains (minimum 5, maximum 100)
  • Exclusion list (domains to exclude from results — use to filter out existing customers or previously contacted accounts)
  • Max results to return per seed

Find People Lookalikes:

  • Seed LinkedIn URLs, professional profile URLs, or emails (minimum 5, maximum 100)
  • Exclusion list (profiles or emails to exclude from results)
  • Max results to return per seed

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Step 3: Enrich the results

Use Lusha: Enrich Company, Lusha: Enrich Person (both require API key), or any other Clay enrichment provider to layer full firmographic and contact data onto every lookalike record returned. Customize your enrichment by mapping the following available identifiers:

Enrich Company:

  • Company domain
  • Company name
  • Returns: employee count, annual revenue, follower count, industry, and more

Enrich Person:

  • Professional Profile URL
  • Email
  • Full name and company domain
  • Returns: verified email, direct dial, title, seniority, and more

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Step 4: Score each record against your ICP

Use a Formula Column or AI Column to assign a fit score to each returned record before anything moves to outreach. Customize your scoring logic using criteria such as:

  • Industry or vertical
  • Employee count or annual revenue range
  • Seniority level or job title
  • Geography or region
  • Technology stack (e.g. CRM type from waterfall enrichment)
  • Keywords from enriched firmographic data

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Step 5:  Find and enrich contacts at matched companies

Use Clay's Find People action to identify relevant contacts at your highest-scoring lookalike companies, then stack contact-level enrichments to fill in outreach details. Customize using the following available inputs:

  • Company domain (pulled from enriched lookalike rows)
  • Job title or function filter
  • Seniority filter
  • Find Work Email or Enrich Person to retrieve verified contact information

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Step 6: Push to outreach

Use the Clay's built-in sequencer or any other sequencer to route qualified records into a personalized outreach campaign. Customize your outreach logic using the following available inputs:

  • Recipient email
  • First and last name
  • Personalization fields drawn from enriched company or contact data
  • Sequence or campaign assignment
  • Filter conditions to ensure only records above your ICP score threshold are pushed
  • Destination — CRM, third-party sequencer, or Clay's native sequencer

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