Signal Campaigns: outreach triggered by LinkedIn activity

Signal Campaigns are in beta, and they invert how a campaign starts. Instead of beginning with a list of contacts, they begin with a post. Keywords are watched on LinkedIn, scans currently run hourly, and a match becomes the signal. A verification prompt then decides whether the post is genuinely relevant to what you sell rather than a keyword coincidence, because no keyword on its own can tell a real trigger from a spam post. Only after it passes does the contact data get looked up and an AI-written email go out 15, 30, or 60 minutes later, referencing the post itself.

The campaign builder is the one you already know: subject line, body, personalization prompt, inbox pool, and the notification or webhook settings all behave exactly as they do in a normal campaign. The new part is the keyword list and the verification prompt sitting in front of it. The example campaign targets people who might want PR placements, watching for posts about launching a course, releasing a book, hitting a milestone, or starting a podcast, and the verification prompt asks whether the person is a founder, author, entrepreneur, or podcaster who would actually fit.

On cost, a keyword check runs about a quarter of a credit, and a signal that goes all the way through costs roughly three credits, one each for finding the contact, writing the email, and sending it. The results from the example are worth the caveats around them: about 76,000 posts matched, most were rejected at verification, contact data was missing for around 12,000, and the 6,000 emails that did go out came back with 200 responses, over three percent. Coverage is US-only for now and no provider has an email for everyone on LinkedIn, so more providers are being added to lift the hit rate.