Signal-Based Prospecting: The Playbook Behind 3× LinkedIn Reply Rates
Two prospect lists, same product, same message quality. List A: “VP Sales at SaaS companies, 50–200 employees.” List B: “People who commented on a competitor’s launch post this week.” List B replies up to 3× more often. That gap is the entire thesis of signal-based prospecting.
Why titles underperform
A job title tells you someone could buy. It says nothing about whether they’re thinking about the problem right now. Title-based lists mix three populations: people in-market, people happy with a competitor, and people who haven’t thought about the category in years. Your reply rate is the average of all three.
What counts as a signal
A signal is public evidence of current interest. The ones that work hardest on LinkedIn:
- Post engagement — people who liked or commented on a post about your problem space (a competitor’s launch, an industry hot take, a how-to thread)
- Group membership — they joined a community dedicated to the problem
- Creator followers — they follow the influencer your buyers read
- Event attendees — they gave up an hour for a webinar on the topic
- Slack communities — the highest-intent watering holes in B2B
- Job changes & hiring — new decision-maker, or a team staffing up around the problem
The playbook
1. Pick one signal, not one persona
Start from the moment of intent: “everyone who engaged with X” — then filter down with demographics (role, geography, company size). Reachy does this natively: point it at a post, group, creator or Slack community, and refine from there.
2. Reference the signal in the first line
The signal is your opener — it’s why this isn’t a cold message:
“Saw your comment on [post] about pipeline coverage — curious how you’re handling that at [company].”
No “I hope this finds you well.” The signal is the personalization.
3. Score before you send
Not everyone who liked a post fits your ICP. Score each contact against your ideal profile and message the top of the list first. (Reachy’s lead scoring does this automatically — it’s why the funnel shows a “good fit” stage before “contacted”.)
4. Sequence lightly
Signal-sourced prospects don’t need a 7-touch guilt trip. Initial message + two follow-ups, three days apart, then stop. High-intent lists convert early or not at all.
What to expect
Benchmarks from campaigns run in Reachy:
| List source | Accept rate | Reply rate |
|---|---|---|
| Title-only search | 20–30% | 5–10% |
| Signal-based list | 40–55% | 20–35% |
Higher acceptance also keeps your account healthier — LinkedIn reads a well-accepted account as a well-behaved one, which matters for staying within safe limits.
Next step
Reachy prioritizes signal-sourced contacts out of the box — point it at a post, a group, or a Slack community and it builds, scores and works the list from your machine. Download it free and run your first signal campaign today.