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HubSpot Lookalike Account Builder back to library
~ / library / Prospecting / hubspot-lookalike-account-builder

HubSpot Lookalike Account Builder

Profile your closed-won HubSpot accounts with MoltSets firmographics, then find similar companies not yet in HubSpot to build a net-new target account list.
  • Build a lookalike target list based on my closed-won accounts in HubSpot
  • Find companies similar to my best customers that aren't in HubSpot yet

What this skill does

Turns your best existing customers into a net-new prospecting list. It profiles a set of closed-won HubSpot accounts with MoltSets firmographics, works out the shared industry, employee range, and revenue range, then searches for similar companies that are not already in HubSpot. The output is a target account list ready to hand to a rep or load into an outbound sequence.

Chain

HubSpot closed-won accounts
  to hubspot/search-crm-objects        (companies with an associated closed-won deal, optional filters)
  to MoltSets:
      search_companies                 (domain -> industry, employee_range, revenue_range)
  to derive lookalike profile          (dominant industry, employee range, revenue range across the set)
  to MoltSets:
      search_companies                 (industry + employee_range + revenue_range -> candidate companies)
  to exclude domains already in HubSpot
  to hubspot/create-object             (optional: create the new companies as target accounts)

Inputs

  • Seed accounts - which closed-won accounts to profile (all, a segment, or a named list)
  • Profile weighting - which firmographic fields matter most for the lookalike match (industry, size, revenue)
  • List size - how many net-new accounts to return
  • Exclusions - domains already in HubSpot, competitors, or a do-not-target list

How it works

  1. Pulls the closed-won accounts (or a filtered subset) from HubSpot
  2. Runs search_companies by domain on each to get industry, employee range, and revenue range
  3. Aggregates the results into a lookalike profile: the dominant industry or industries, and the typical employee and revenue range across the seed set
  4. Runs search_companies again using that profile as the filter to surface candidate companies
  5. Excludes any domain that already exists in HubSpot, and any domain on your exclusion list
  6. Returns the ranked candidate list, and optionally creates the new companies in HubSpot as target accounts

Output

Company Domain Industry Employees Revenue Match Reason In HubSpot Already
Seed accounts profiled:      X
Dominant industry:           X
Employee range:              X
Revenue range:                X
Candidates found:            X
Net-new (not in HubSpot):    X
MoltSets tokens used:        X

Tips

  • Requires the HubSpot remote MCP (mcp.hubspot.com) and the MoltSets MCP connected in the same client
  • If your closed-won accounts span multiple distinct industries, run the lookalike search per cluster rather than averaging across all of them
  • Use domain exclusion against your full HubSpot company list, not just the seed set, so you don't resurface existing customers or open deals
  • Pair this with the buying committee expansion skill once a lookalike account is created, to find the right contacts inside it
  • Custom objects are not reachable through HubSpot's remote MCP, so create standard company records
01 Download the .moltsets skill file below
02 Open Claude and go to Settings to Skills
03 Click Add skill and select the downloaded file
04 Open a new chat in Claude
05 Prompt Claude using one of the example prompts or use your own
// difficultyIntermediate
// connectionHubSpot, Claude Chat
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