Why signals matter
Cold outreach converts poorly because you’re guessing at timing. Signal-based outreach converts 3-5× better because you’re reaching out because something changed — and that “because” ends up in your first message. Example without a signal:Hi Sarah, wanted to introduce myself…Example with a signal:
Sarah — saw your Series A announcement last week. Congrats. Founders at that stage usually run into X — happy to share how Y other companies handled it.Same person, same product, dramatically different reply rates.
Signals Guhan supports
💰 Funding raised recently
💰 Funding raised recently
Company announced a funding round in the last N months. Great for “you just raised, here’s what other founders did with the money” positioning.
📈 They're hiring
📈 They're hiring
Company posted N+ open jobs in specific departments (Sales, Engineering, Marketing). Great for “you’re scaling — here’s how to keep quality high” positioning.
👔 New leadership joined
👔 New leadership joined
A VP / Director / C-level joined the company in the last N months. Great for “new leader = new tools” positioning, and the new leader is 3× more receptive than an incumbent.
🎯 Engaged with a competitor's post
🎯 Engaged with a competitor's post
They liked or commented on a LinkedIn post from a competitor you name. They’re evaluating your space — talk to them now.
🎁 Engaged with a specific post URL
🎁 Engaged with a specific post URL
You paste in a LinkedIn post URL. Anyone who liked or commented on that post shows up as a prospect. Great for “you engaged with this post — I saw your comment about X” openers.
📢 Posted about specific keywords
📢 Posted about specific keywords
They authored a LinkedIn post mentioning topics you care about (“attribution”, “product-led growth”, “SDR ramp time”). Great for “your post on X was spot on” openers.
🏥 Company headcount growth
🏥 Company headcount growth
Company grew headcount N%+ in the last M months. Growth = budget = buying window.
How you configure signals
When you create or edit a Watchlist Agent, you’ll see the WHEN panel — pick zero, one, or several signals and configure their parameters:- Funding raised recently — pick the funding stages that qualify (seed, Series A, etc.) + how recent (last 90 days, 6 months, etc.)
- They’re hiring — pick the departments + minimum open jobs count
- Engaged with a competitor’s post — paste 1-3 LinkedIn company URLs (your competitors)
- Engaged with a specific post URL — paste the exact post URL
Cost
Signal-driven searches use different LinkedIn / Crustdata data sources — each search burns a small amount of your daily discovery quota. Nothing you pay per-signal-hit; the cost is 1 credit per landed prospect, regardless of how they were found.Signals dramatically improve reply rates but they also narrow the funnel. If your Watchlist Agent is finding too few prospects, loosen the signal or remove it. If it’s finding too many low-quality prospects, add a stricter signal.
No signals = pure ICP search
You can skip signals entirely — Guhan will just find people matching your ICP (job title + location + industry + company size). This is the highest-volume mode; reply rates are lower.Related
Signal catalog
Every signal + full parameter reference + example use cases.
Pick signals for a Watchlist Agent
Step-by-step configuration walkthrough.
