Start where you are already warm.
CapyScout finds the people and accounts with a real reason to hear from you: former customers, companies visiting your site, possible first-degree LinkedIn paths, and people engaging with competitor or topic posts.
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Illustrative example.
Use former customers and visitors on every plan, or connect LinkedIn on Growth and Scale for network and engagement paths.
Filter by title match, watched company, current customer, former customer, company facts, and campaign status.
Add selected people or accounts to a campaign with the path attached to the first draft.
Campaign reports show warm and cold reply rates side by side so you can see which sources create conversations.
Four ways to avoid starting cold
Each source is useful on its own. Together, they turn your outbound queue into people with context, timing, and a safer reason to reach out.
Former customers and lost deals
Import from Stripe, your CRM, or CSV. Start with people who already bought, churned, or evaluated you before, while current customers stay suppressed.
Website visitors
When a company is already visiting your site, add it to a warm campaign with that visit as the reason, not a generic pitch.
LinkedIn first-degree connections
Review cached connections, title-match buyers from their headlines, and add good fits to a campaign. Paths are possible, not verified current employment.
Competitor voices
Watch pages, people, and topics. People who react, comment, or write posts around that market can become warm campaign leads.
See who you already know at target accounts
The network view is built from cached first-degree LinkedIn relations. It marks title fits, watched accounts, current customers to leave out, and former customers to treat as a warm source.
Possible relationship paths. Matching uses company hints from headlines, so CapyScout does not claim verified employment.
Title fit badges. Headlines are compared with the buyer titles you care about.
Always-on feed. A network campaign can keep adding new good-fit connections after the first sync.
"Rolling out RevOps dashboards next quarter."
Topic watched: support handoff automation.
Mentioned evaluating alternatives in the category.
Illustrative example. The first message mentions the topic, never that you saw them react.
Watch competitors, people who post for them, and the topics buyers follow
LinkedIn engagement signals collect people who react, comment, or post around pages, people, and topics you choose. You review the list, hide the wrong fits, and add the right people to a campaign.
Track company pages and the people who post for them.
Watch language your buyers use when they talk about the problem.
The opener changes when the reason is real
Warm paths do not mean name-dropping private context. They give the draft a useful angle and keep the message grounded in something relevant.
I noticed you lead revenue operations at LumenPeak. We help teams improve outbound performance. Are you open to a quick call next week?
Saw that LumenPeak is on our target account list and that we have a possible first-degree path through Jenna. If improving signal-timed outbound is on your RevOps list this quarter, I can send over the short workflow we use for teams like yours.
Illustrative example.
Signals turn paths into daily action
Warm paths can show up next to the same buying signals you already use, so the campaign knows why this account belongs in the queue now.
Illustrative example. Not a customer statistic.
Plan availability is simple
Every plan can run warm campaigns from former customers and website visitors. LinkedIn network and engagement require a connected LinkedIn seat, so they are on Growth and Scale.
Former customers, lost deals, and website visitors.
LinkedIn network paths and LinkedIn engagement sources.
Warm should still be respectful
CapyScout is built for smaller, more relevant outbound. You decide what goes out, and LinkedIn steps stay in your control.
Drafts wait for review before they leave your account.
Invites and messages are approved step by step.
Weekly invite caps and daily read caps keep activity natural.
If LinkedIn asks an account to slow down, read paths pause.
A friendly note for Sarah Chen at LumenPeak, based on a possible first-degree path.
Mentions the public topic, not the private action of reacting to a post.
Uses the account visit as timing and respects suppression lists.
Illustrative example.
Common questions
Warm paths are designed to give your team better starting points without pretending the data is more certain than it is.
What is a warm path in CapyScout?
A warm path is a reason to start less cold: a former customer, a website visitor, a possible first-degree LinkedIn connection path at a target company, or someone who engaged with content from a competitor, person, page, or topic you watch.
How do LinkedIn connection campaigns work?
Connect LinkedIn, review cached first-degree connections, filter for people whose headlines match the titles you sell to, leave out current customers, and add selected people to a campaign. New good-fit connections can keep feeding the campaign after the first sync.
Are LinkedIn paths verified current employment?
No. CapyScout labels them as possible paths because matching comes from cached first-degree connections and company hints in LinkedIn headlines. Use the path as a conversation starter, not as a verified employment record.
Which warm paths are available on which plans?
Former customer and website visitor warm campaigns are available on every plan. LinkedIn network and LinkedIn engagement warm campaigns are available on Growth and Scale because they require a connected LinkedIn seat.
Does CapyScout send LinkedIn messages automatically?
No. LinkedIn invites and messages wait for your approval, go from your own profile, and use caps and cool-downs. CapyScout can draft the step, track replies in the same inbox as email replies, and show warm versus cold reply rates side by side.
Turn the next campaign warm before it starts.
Bring the relationships, visits, and engagement signals you already have into one approval-first outbound workflow.
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