Customer Twins

Find more companies like the customers you already won.

Your closed-won list is the best lead source you have. Add your wins and CapyScout works out what those customers share that most companies do not, finds more of them, and tells you when an account you watch starts to look like your best customers.

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1. Add your customers

One at a time as deals close, a CSV from any system, or closed-won deals straight from HubSpot, Pipedrive or Attio.

2. Learn what they share

Industry, size, location, website technology and local category, compared with the whole market and weighted by deal size.

3. Find their twins

Each customer group becomes a search you can run in one click, or hand to an agent that keeps finding new ones.

4. Watch for matches

"Matches your best customers" fires on watched accounts that match, raises their score and can start a signal campaign.

Not another lookalike list

Most lookalike tools take one company and return famous names that look like it. That is not how you win deals.

Every win, not one seed. Your customers usually fall into a few groups. We find them and build a search for each.

What is rare, not what is common. "Has a website" describes everyone. A tool used by 2% of companies and 100% of your customers is a real trait.

Learns from churn and lost deals. Add the reason and we flag the traits of accounts that did not stay, and cap how well look-alikes of them can match.

Checked against your own customers. We hide each customer in turn and see whether the rest of the profile would have found it, so you know how much to trust it.

You stay in control. Every trait is visible. Remove a coincidence and the profile and matches update.

Example customer group
Apparel stores, 11-50 employees
14 customers - 61% of won value - about 3,900 companies match
Retail Apparel 38x Shopify 24x Klaviyo 11-50 employees US
Churned accounts were mostly 1-10 employees. Top reason: "Team too small to use it".
Signal fired
Northwind Outfitters matches your best customers (86% match)

Looks like your Apparel stores customers: Retail Apparel, Shopify, Klaviyo, 11-50 employees. Similar to one of your Retail Apparel customers.

Illustrative example.

Works for local businesses

Customer signed up with a Gmail address? Add the business name and city. We find its Google listing and learn its category and area, then search for more like it.

More than firmographics

See who bought (champion titles you can reuse when finding people), where wins came from, what they bought and when deals close. Search each customer's competitors too: they sell to the same buyers.

Your customers stay private

Outreach only names a customer you marked as OK to reference. Everyone else is described generically, like "one of your dental practice customers".

Common questions

How is this different from a lookalike list?

Most lookalike tools take one company and return others that look like it. CapyScout learns from all of your wins at once, compares their traits with the whole market so it keeps only what makes your customers different, weights bigger deals more, learns from churned and lost deals, and keeps watching for companies that start to match.

What can I import?

Add customers one at a time, upload a CSV (a template is provided), or import closed-won and closed-lost deals from HubSpot, Pipedrive or Attio. A website or work email is best; local customers on a personal email work with a business name and city.

Will you name my customers in outreach?

Only customers you mark as OK to reference. Everyone else is described generically, like one of your dental practice customers.

What does it cost?

Reading a customer uses 1 credit when we find its company profile. Comparing traits with the market, searching for twins and the matching signal on watched accounts are included.