Your best buyers are already following your page, engaging with your posts, and researching your competitors on LinkedIn. Most GTM teams never pull those signals into pipeline. This system does.
LinkedIn is full of buying signals — competitor followers, post engagements, company page visits. Your GTM team is ignoring all of them.
Followers, likes, comments, and competitor activity are all signs of intent. Without a system to extract and act on them, they disappear into LinkedIn's walled garden every week.
Your reps are buying contact lists and running cold sequences — while people who already follow your page or engaged with your posts go untouched. That's inverted priority.
Even teams doing social selling can't connect activity to pipeline. Without enrichment, ICP filtering, and CRM routing, LinkedIn stays a vanity metric — not a demand channel.
All five plays share the same framework: Collect → Enrich → Activate. Your team learns the system once, then runs it across every signal source.
Competitor followers, post engagements, and company page activity are public signals — but only accessible if you know how to extract them. We build the data pipeline that pulls structured signal data out of LinkedIn and into a format your team can work.
Raw LinkedIn data is just names and URLs. We append verified business emails, firmographics, job titles, company size, and industry — then filter against your ICP criteria so your reps only see accounts worth contacting.
Generic outreach gets ignored. When your rep references the specific post someone liked, the competitor they follow, or the content they engaged with, reply rates jump. We build the messaging frameworks, sequences, and CRM workflows that make this happen at scale.
Each module runs standalone or as part of the full system. Start with the signal source most relevant to your pipeline stage right now.
Capture the accounts actively researching your competitors. These contacts rarely show up in your CRM or ad platforms — but they're already in-market. We extract, enrich, and route them with displacement campaign recommendations.
View service →A coordinated social selling system generates higher-quality signals than paid campaigns — warming prospects before outreach begins. We build the playbook, content cadence, and engagement workflows your reps actually use.
View service →Your followers already know your brand — conversion is dramatically cheaper than cold outbound. We export your full follower list, segment by ICP attributes, enrich with verified emails, and deliver CRM-ready leads your SDRs can work immediately.
View service →People who engage convert faster. We scrape likes, comments, and shares across your accounts, enrich the contacts, and generate AI-personalized outreach that references the exact post they interacted with — making every message feel earned, not cold.
View service →A full conversion system that turns growing follower counts into meetings and pipeline. We define intent buckets, build multi-channel conversion cadences, and create the revenue reporting model that shows leadership exactly what LinkedIn is producing.
View service →30-minute strategy call. Walk away with a clear view of which signals are most valuable for your ICP and which plays to activate first.
Book your call →Signal data flows directly into your CRM, sequencing tool, and outreach platform — no new tools required.
"We had 4,200 LinkedIn followers and had never once reached out to a single one. After the Follower Conversion Playbook, we booked 23 discovery calls in the first 30 days — from people who already knew who we were. That's a different conversation entirely."
"The Competitor Signal play surfaced 340 ICP-matched contacts in the first week — contacts we'd never have found through any other channel. Enrichment + ICP filtering meant our SDRs only touched the right ones. Reply rates tripled vs our cold list."
"We were skeptical about LinkedIn as a demand channel — it felt too manual. Koka built us the Engagement Funnel and we ran our first signal-based campaign in two weeks. 18% reply rate vs the 3% we were getting from cold sequences. We shut down two list-buying vendors."