Buying signals from LinkedIn. Qualified. Delivered.
SignalRaven watches the LinkedIn conversations that matter in your market, qualifies every person who engages against your ICP, and hands your team a scored signal with the context and the opener already written.
It never touches your LinkedIn
SignalRaven reads public activity from its own infrastructure and its own access. Your team’s accounts stay out of it entirely.
Qualified before you see it
Every engagement is relevance-scored, enriched, ICP-graded, and buyer/seller classified before anyone sees it. Only the ones worth acting on reach your team.
Scored with the opener written
A signal arrives with the person, their company, a 1–10 urgency score, the ICP breakdown, why it matters now, and talking points.
Lands where you already work
Slack, Google Sheets, webhooks, n8n, Clay and Notion, or your own stack over the API. Your team keeps working in the tools they already have open.
Always On Signals & Monitoring
Point it at your market and leave it running.
Competitor pages and their employees, keyword and industry searches, brand mentions, your own content. SignalRaven watches who engages, qualifies them, and continuously delivers the ones that clear your bar. The searches run themselves.
Urgency scored 1–10 with the five ICP dimensions behind it
Context and why it matters written on every card
Repeat engagement stacks into one strengthening signal
More on signals and monitoring →
KO
Katrin Olsen
VP Sales · Meridian Clearing
10
Commented~2 days ago
ContextKatrin Olsen, VP Sales at Meridian Clearing, commented on a post about consolidating payment-ops tooling: “We’re mid-way through this exact evaluation.”
Why it mattersShe owns the sales number at a payments company that is publicly mid-evaluation on tooling. That is active budget motion.
Talking points· Source post· ICP breakdown
A signal, as it arrives
On Demand Intelligence Reports
Research any account or person the moment a name crosses your desk.
Paste a company LinkedIn URL and get firmographics, an ICP-fit call, and a buying committee of decision-makers. Paste a person’s and get a buyer/seller read, notable signals, and their recent activity. It works the day you sign up.
Every verdict shows the four checks behind it, each with its reason
One report run covers the whole account.
Every suggested angle cites its sources
More on intelligence reports →
Account intelligence ICP FIT · PURSUE
Northwind Analytics
Company size
Industry
Buying committee
Momentum
Buying committee of 8 identified, each verified to work there today.
Person intelligence BUYER FIT · STRONG
Maya Lindqvist · VP Revenue Operations
Two weeks into fixing the exact problem you sell into: her posts name the CRM cleanup your onboarding starts with.
Suggested opener
“Given Northwind’s focus on making pipeline visible and this year’s sales growth, I thought it would be relevant to connect on how your team keeps the forecast honest while headcount scales.”
From a live workspace
A leading spend-management SaaS after 30 days.
1,169
qualified signals in 30 days
9.0
average urgency, out of 10
14.5
signals per 100 posts watched
7
seats working the same inbox
Figures from a live SignalRaven workspace over a rolling 30 days.
Access
Every door leads to the same engine.
Dashboard
Work the inbox, tune what’s watched, define your ICP, run the on-demand tools, and see the funnel from discovery to delivery.
Destinations
Slack, Google Sheets, webhooks, n8n, Clay and Notion. Route everything, or only what clears a strength threshold.
REST API
Pull signals, sources, ICP, usage and intelligence reports into your own systems, and start new runs. OAuth-scoped, versioned.
API reference →
MCP
Ask Claude or ChatGPT directly: who is in-market this week, what the committee looks like at an account, what to say next.
Connect your assistant →
Start with one account you know well.
Run it on a customer you understand and see whether it tells you what you already know. That settles it either way.
Start free trial →