LinkedIn Signal Engine · B2B GTM

Turn LinkedIn signals into a Signal Play engine.

Followers, competitor activity, and post engagement are buying signals. Most GTM teams never act on them. We build the system that turns those signals into meetings and revenue.

✅ Live in 2–4 weeks ✅ CRM-ready output ✅ ICP-filtered leads
signal-pipeline.dashboard
Signal Sources
👥 New Followers
🔍 Competitor Engagers
💬 Post Interactions
🔄 Job Changes
📊 This Week · Aug 4–10
New Signals
247
+12% vs last week
Meetings Booked
18
from signals
Signal→Meeting
7.3%
conv. rate
Signal Volume
Competitor follower Post like New follower
Sarah Chen · Acme CorpCompetitor follower
Marcus Webb · TechBaseLiked post
Priya Nair · ScaleHQNew follower
5×
Signal Plays Built
Competitor follower tracking, engagement monitoring, new follower routing, content interaction alerts, job-change detection
38%
Higher Reply Rate
Warm signal-based outreach beats cold email 3–4× on reply and booking
14 days
To First Qualified Lead
Engine live and producing CRM-ready contacts within two weeks

The Problem

Your best buyers are already showing up. You just don’t see them. LinkedIn generates buying signals every day: followers, competitor engagement, post interactions. Without a system to collect and route them, those signals expire silently while your pipeline stays cold.

📋
Unworked Intent
Followers, likes, comments, and competitor activity are all signals of purchase interest. Without a collection and routing system, they vanish, and your SDRs never see them.
⚠️
Lists, Not Signals
Most teams buy a list and blast it. Signal-based GTM flips that: you start with people who already know your brand or follow your competitors. Reply rates climb 3–4×.
🔗
No Signal-to-Meeting Bridge
Every play connects a LinkedIn action to a specific workflow. Without that bridge, signals stay stuck in a spreadsheet.

The Framework

Collect → Enrich → Activate. One repeatable engine. Build it once, run it across every LinkedIn signal source. Each play targets a specific signal type and routes it to the right rep with the right context.

01
Collect · Follower & Engagement Tracking
Every new follower on your company page and executive profiles are captured, enriched, and routed. Track who engages with competitors’ content in real time.
247 signals captured this week
02
Enrich · ICP Filtering & Scoring
Not every engager is a lead. We run every contact through your ICP filter: title, function, company size, industry, then score them for SDR priority.
92% ICP match accuracy
03
Activate · Signal-Based Outreach
Warm outreach sequences referencing the actual signal. “Saw you’re following [Competitor]” beats “I came across your profile” every single time.
38% reply rate · 3× cold email
04
Measure · Signal-to-Revenue Attribution
Every meeting, opportunity, and closed deal traced back to the LinkedIn signal that started it. Know exactly which plays produce pipeline.
$82k pipeline from signals this quarter

From Signal to Meeting in 30 Days

One repeatable engine powers all five signal plays. Build it once, run it across every LinkedIn source.

1
Collect: Pull followers, engagement, and competitor signals from LinkedIn into a structured dataset. Week 1.
2
Enrich: Append firmographics, ICP filters, and verified business emails. Remove the noise. Week 2.
3
Segment: Bucket contacts by signal type, role, industry, and intent strength. Route to the right rep. Week 3.
4
Activate: Signal-referencing outreach goes live. First meetings booked. Pipeline compounding. Week 4+.

The Stack

Plugs into the tools your GTM team already runs. No rip-and-replace. We extend your existing stack with signal intelligence.

💼 LinkedIn
📊 SignalScout
📧 HubSpot
⚙️ Salesforce
🔗 Make.com
✉️ Outreach
📰 Clay
🗂️ Airtable
🤖 OpenAI
🔍 PhantomBuster

Old Way vs. The Signal Engine

Why buying lists loses every time. Cold outbound burns SDR morale and budget. Signal-based selling starts warm because the prospect already raised their hand.

📋 The Old Way🎯 The Signal Engine
Purchased Lists: unverified intent. 2–4% reply rate.Signal Collection: real intent from real behavior.
Cold Outreach: weeks of touches. No context.Warm Outreach: “Saw you follow [Competitor]”
Low Response: SDR burnout. Pipeline stalls.32–38% Reply: meetings booked. Pipeline grows.
3–4×
Higher reply rates
38%
Avg warm reply
14 days
To first lead
$82k
Pipeline influenced

Signal Play Content Buckets

A signal play only works when the message matches the moment. That is why I sort every campaign into content buckets, one bucket per signal type, so the right message meets the right behavior.

👥
Follower Bucket
New company page and executive followers. The message welcomes them, explains what you solve, and makes a soft ask. This bucket replies 3–4× better than a cold list.
🔍
Competitor Bucket
People engaging with a competitor’s posts. The message is a point of view on the problem they are already researching, with no pitch. Timing is the whole advantage.
💬
Engagement Bucket
Likes, comments, and shares on your own content. The message continues the conversation they already started. It earns the highest reply rate of any bucket.

Most teams build one generic sequence and blast it at every signal. That is cold email with extra steps. The teams that win map a distinct content bucket to each signal play, then let the signal pick the message. I have run this pattern across every account I have built signal plays for, and the buckets are what separate a reply from a report.

Want the deeper model? See how signal intelligence replaces the old ABM playbook, then how LinkedIn signals become pipeline for GTM teams.

Map My Signal Play Buckets

Signal Questions, Answered Directly

What signals do you actually track?

We track five core signal types: new followers on company pages and executive profiles, competitor post engagement (likes, comments, shares), content interactions on your posts, job-change alerts for target accounts, and profile views from your ICP. Each signal triggers a specific play with its own outreach sequence.

How is this different from buying a ZoomInfo list?

A ZoomInfo list tells you who someone is. A signal tells you they’re in-market right now. Warm signal-based outreach consistently gets 3–4× higher reply rates because you’re referencing real, recent behavior.

How fast will we see pipeline?

Your signal collection engine is live and producing enriched contacts within 14 days. First meetings typically book between weeks 3–4. Real pipeline visibility builds through months 2–3 as the playbook compounds.

Does this require LinkedIn Sales Navigator?

Sales Navigator helps with enrichment and InMail but isn’t required. The core engine works through LinkedIn’s public and authenticated data layers. Most teams are already equipped.

What’s the investment?

Signal engine engagements start at $5K/month with a 90-day minimum, the time it takes to build the playbook, enrich the first batch, and see pipeline results. A 30-minute strategy call maps your signal landscape and shows the buyers already raising their hands.

Stop guessing. Start signal-based selling.

Book a 30-minute strategy call. We’ll map your signal landscape, show you the buyers already raising their hands, and build your signal collection playbook.

Book Your Strategy Call →
No commitment. No pitch deck. Just the math. · hello@kokasexton.com