Classic prospecting is a volume game: send 500 emails to get 5 replies. Signal-based prospecting is a timing game: contact the right person at the right moment, with the right message.
What is a weak signal
An executive appearing on a podcast to talk about operational challenges. A decision-maker commenting on a LinkedIn post about automation. A speaker at a B2B event mentioning a problem you solve. These are intent signals : far more powerful than a bought list.
The detection pipeline
AI continuously monitors signal sources: YouTube channels of business podcasts, posts from LinkedIn influencers, B2B event programs. It transcribes, analyzes and filters. Only the relevant signals surface : with a personalized outreach message ready to send.
Personalization at scale
When you contact someone with "I listened to your podcast appearance and your point on [specific topic] caught my attention," reply rates explode. That's not flattery : it's relevance. AI makes this kind of personalization possible at scale.
The numbers
Signal-based prospecting typically generates 25 to 40% reply rates, vs 2 to 5% for classic cold email. The difference: timing and message relevance.