This Make template uses your best contacts, like champions, power users, and closed-won buyers, to find more people like them. It sends them to the Lusha Contact Recommendations API, which returns similar contacts with full enrichment, and adds them to HubSpot or Salesforce.
Find similar contacts from Lusha-enriched records
Why find lookalikes of your best contacts?
Most teams already know who converts best: the VP of Sales at a 200-person SaaS company, or the Director of RevOps at a Series B fintech. The hard part is finding more people just like them.
Building those searches by hand means guessing at filters and hoping you got the pattern right. This template skips the guesswork. Lusha’s AI looks at your best contacts and finds similar people by role, seniority, company type, industry, and more.
What this workflow does
- Pulls your best enriched contacts from HubSpot or Salesforce, like champions or closed-won buyers
- Sends them to the Lusha Contact Recommendations API
- Gets back similar contacts, with email, phone, title, and company data
- Creates them as new leads or contacts in your CRM, tagged by source
- Routes them by use case: to account owners for expansion, to outbound sequences, or to ABM lists
How to set it up
Use the Make template
Start from the “Get contact recommendations from Lusha enriched records” template. It connects the full flow: enriched contacts → Recommendations API → CRM sync.
Connect your data source
Pull enriched contacts from your CRM (HubSpot/Salesforce) based on your criteria:
- Closed-won opportunities (primary buyer/decision-maker)
- Champion contacts from your best accounts
- Power users or high-engagement contacts
- ICP-fit contacts who converted
Tip: The source contacts must already be enriched with Lusha (they need personId and companyId fields).
Send to Lusha Contact Recommendations API
The Make scenario calls:
POST https://api.lusha.com/api/recommendations/contacts
Include the Lusha IDs from your enriched contacts:
{
“contacts”: [
{ “personId”: “123456”, “companyId”: “789” },
{ “personId”: “234567”, “companyId”: “890” }
]
}
Receive similar contact recommendations
Lusha returns contacts that match the profile of your input set: similar roles, seniority levels, company types, industries, and firmographics.
Map recommendations to your CRM
For each recommended contact, create:
- A new Lead/Contact record in Salesforce or HubSpot
- Pre-filled fields: name, title, email, phone, company data
- Source tag: “Lookalike – Contact Recommendations”
Add to the right workflow
Route recommended contacts based on use case:
- Land & expand: Route to account owner for existing customers
- Win-based prospecting: Add to outbound sequences
- ABM expansion: Add to target account lists
Test with a small batch
Start with 5-10 of your best contacts. Confirm:
- Recommendations return similar profiles
- CRM records are created correctly
- Routing logic works as expected
What to do next
- Segment by use case: Run separate recommendation flows for expansion (existing customers) vs. new logo acquisition (closed-won lookalikes)
- Add quality filters: Only sync recommendations that meet minimum fit criteria (company size, industry, location)
- Track performance: Measure conversion rates from recommended contacts vs. manually sourced prospects
- Iterate on input set: Refine which contacts you use as the “seed” — test different champion types, deal sizes, or segments to see which produces the best lookalikes
- Combine with signals: Layer in buying signals (funding, hiring, job changes) on top of recommended contacts to prioritize who to reach out to first
The goal: Stop guessing who to prospect. Let your best contacts show you exactly who to target next—at scale, automatically, and with verified data ready to work.
FAQ
Use this Make template. It sends your best contacts to the Lusha Contact Recommendations API and adds the similar contacts it returns to your CRM.
Champions from your best accounts, closed-won buyers, power users, or ICP-fit contacts who converted.
Yes. The API needs the Lusha personId and companyId for each source contact.
They’re created as new leads or contacts in HubSpot or Salesforce, with a “Lookalike – Contact Recommendations” source tag.
Start with 5–10 of your best contacts, check the results, and then scale up.
Ready to run this?
One data connection. Works in Claude, ChatGPT, your CRM, or any agent you build.