
Closed-Won Lookalike Workflow
Outbound
Automation
Prospecting
Data
The companies you already closed are the most accurate target list you own. This workflow reads them, then goes and finds more like them.
More of the customers
you already closed.
Your closed-won deals are the best description of a good customer you have. This workflow finds what those customers have in common, builds the ICP from it, and gives your outbound team a ranked list of companies that look like them.
What is a closed-won lookalike workflow and how we set it up?
Your best customers are the proof of what a good customer looks like. This workflow finds more companies like them.
Most target lists are built on opinion. Somebody picks an industry, a company size and a few job titles, and thousands of companies come back that match the filter and nothing else. Meanwhile the best description of a good customer is already in your CRM: the deals you won.
This workflow starts there. You choose which wins you want more of, because the accounts that pay most, close fastest and stay longest are rarely the same companies. Then it turns those wins into a profile, searches for companies that match, removes everyone you should not contact, and ranks the rest.
Your outbound gets a list where every company comes with a reason: which customer it looks like, and why. That reason is what makes the first message land.
Step 1: We choose which customers to clone
Your closed deals are the best proof of what a good customer looks like. But your won deals are not one group. The biggest contracts, the fastest deals and the customers who stayed longest are usually different companies. Mixing them gives you a profile that fits nobody. So the first step is a decision, made together. • The highest paying: pick these if you want bigger contracts, and accept longer deals • The fastest to close: pick these if you need speed this quarter • The best retained: pick these if you want customers who stay. Most teams should, and few do The whole workflow is only as good as this choice. That is why people make it, out loud, and not a tool.
Step 2: Your wins become a profile
Then the workflow takes the customers you chose apart. What size are they. What tools do they use. How do they sell. Who sat at the table when they signed. • The traits that keep coming back become the profile, including the ones nobody expected • The result is precise enough for a machine to score companies against • That is a very different thing from the one-line customer description most teams keep in a slide
Step 3: Three searches look for matches
With the profile ready, the workflow searches for companies that match. Not one search: three, each from a different angle, because every search source has blind spots. • Companies built the same way: size, market, structure • Companies using the same tools your customers use • Companies in the same market: the competitors, partners and neighbours of your current customers Everything lands in one list. A company found by two searches is a stronger match than a company found by one.
Step 4: The list gets cleaned and ranked
Before any money is spent, everyone you should not contact comes off the list: current customers, open deals, accounts a colleague owns, and anyone who asked not to hear from you. Then every company that is left gets a score against your profile. • The check happens against your CRM, so the list matches what your team sees • The list arrives sorted: the companies most like your best customers are at the top Your team just works down from the top.
Step 5: We find the buyers
A company on a list is not someone you can write to. So for the companies at the top, the workflow finds the people. • The roles that sat at the table when your winning deals closed • Found live, so the job titles are current • With verified email addresses
Step 6: Outreach starts with a reason
The finished list lands in your sending tools, and every company carries its reason: which of your customers it looks like, and why. That reason is what makes the first message land. • Each account is reached on the channel its market answers: email, LinkedIn, or both • Nothing goes out without a person able to see it first • Replies, meetings and deals get read back against the profile, so the next round starts smarter Repeated every quarter, this becomes the most dependable list source you have. It learns from the only evidence that never lies: the customers who already said yes.
Step 1: We choose which customers to clone
Your closed deals are the best proof of what a good customer looks like. But your won deals are not one group. The biggest contracts, the fastest deals and the customers who stayed longest are usually different companies. Mixing them gives you a profile that fits nobody. So the first step is a decision, made together. • The highest paying: pick these if you want bigger contracts, and accept longer deals • The fastest to close: pick these if you need speed this quarter • The best retained: pick these if you want customers who stay. Most teams should, and few do The whole workflow is only as good as this choice. That is why people make it, out loud, and not a tool.
Step 2: Your wins become a profile
Then the workflow takes the customers you chose apart. What size are they. What tools do they use. How do they sell. Who sat at the table when they signed. • The traits that keep coming back become the profile, including the ones nobody expected • The result is precise enough for a machine to score companies against • That is a very different thing from the one-line customer description most teams keep in a slide
Step 3: Three searches look for matches
With the profile ready, the workflow searches for companies that match. Not one search: three, each from a different angle, because every search source has blind spots. • Companies built the same way: size, market, structure • Companies using the same tools your customers use • Companies in the same market: the competitors, partners and neighbours of your current customers Everything lands in one list. A company found by two searches is a stronger match than a company found by one.
Step 4: The list gets cleaned and ranked
Before any money is spent, everyone you should not contact comes off the list: current customers, open deals, accounts a colleague owns, and anyone who asked not to hear from you. Then every company that is left gets a score against your profile. • The check happens against your CRM, so the list matches what your team sees • The list arrives sorted: the companies most like your best customers are at the top Your team just works down from the top.
Step 5: We find the buyers
A company on a list is not someone you can write to. So for the companies at the top, the workflow finds the people. • The roles that sat at the table when your winning deals closed • Found live, so the job titles are current • With verified email addresses
Step 6: Outreach starts with a reason
The finished list lands in your sending tools, and every company carries its reason: which of your customers it looks like, and why. That reason is what makes the first message land. • Each account is reached on the channel its market answers: email, LinkedIn, or both • Nothing goes out without a person able to see it first • Replies, meetings and deals get read back against the profile, so the next round starts smarter Repeated every quarter, this becomes the most dependable list source you have. It learns from the only evidence that never lies: the customers who already said yes.
Closed-won lookalike workflow tools
Three search engines find the matches, and one place scores them.
Three search engines find the matches, and one place scores them.
Three lookalike engines search in three different ways, which is exactly why we use all three. Clay collects what they find, removes the duplicates, and scores every company against the customers you chose. Your CRM supplies the exclusions, LeadsFactory finds the buyers, and your sending tools start the outreach.

HubSpot
CRM

Salesforce
CRM

Clay
Enrichment

Claude
AI

Ocean.io
Data

Discolike
Data

AI Ark
Data

LeadsFactory
Scraping

Instantly
Sending

Lemlist
Sending

HeyReach
Ready to implement this workflow?
Ready to implement this workflow?
Ready to implement this workflow?
Book a workflow consultation and see how automation transforms your GTM engine.
Book a call with our team to discuss how this workflow fits your sales process and timeline.
Book a workflow consultation and see how automation transforms your GTM engine.




Your next door GTM agency.
Sales Automation, ABM and Paid Ads, and RevOps, built as one system in your own accounts. Two salespeople in Amsterdam, working with teams across Europe and the US.
PARTNERS AND CERTIFICATIONS



© 2026 Nebor. All rights reserved. Formerly Utmost Agency.
Your next door GTM agency.
Sales Automation, ABM and Paid Ads, and RevOps, built as one system in your own accounts. Two salespeople in Amsterdam, working with teams across Europe and the US.
PARTNERS AND CERTIFICATIONS



© 2026 Nebor. All rights reserved. Formerly Utmost Agency.
Your next door GTM agency.
Sales Automation, ABM and Paid Ads, and RevOps, built as one system in your own accounts. Two salespeople in Amsterdam, working with teams across Europe and the US.
PARTNERS AND CERTIFICATIONS



© 2026 Nebor. All rights reserved. Formerly Utmost Agency.
Your next door GTM agency.
Sales Automation, ABM and Paid Ads, and RevOps, built as one system in your own accounts. Two salespeople in Amsterdam, working with teams across Europe and the US.
PARTNERS AND CERTIFICATIONS



© 2026 Nebor. All rights reserved. Formerly Utmost Agency.
