EngageOS turns LinkedIn poll engagement into qualified pipeline. AI scores every voter by intent, matches them against your ICP, and routes hot leads into personalized outreach sequences automatically. A single poll becomes a system.
The problem
“People were engaging with my polls. I had no idea who they were.”
📊
LinkedIn polls generate dozens of responses from warm prospects. But LinkedIn doesn't show you who voted. The engagement just disappears.
🤷
Even if you could see voters, scoring their intent by answer and matching them to your ICP requires manual work for every single person.
🔗
Hot leads from poll engagement would sit for days before anyone followed up -- by which point the moment had passed.
Inside the platform
Browse the full platform -- from poll management and AI-scored leads to outreach sequences and pipeline analytics. Expand to go full screen.
EngageOS
Poll to Pipeline
Josh S.
Growth Lead
Total Voters
827
Qualified
191
In Sequence
64
Reply Rate
18.4%
Lead pipeline
Active polls
Biggest challenge with outbound?
How do you generate leads?
What CRM do you use?
Recent activity
23%
Qualification rate
4x
Higher reply rate
342
Voters captured
The full system
The system captures poll voters automatically via the LinkedIn API. No manual data collection. Every voter captured within minutes of responding.
Each answer option carries a different intent signal. Someone saying 'Finding the right contacts' scores differently than 'Not relevant to me.' The AI uses this to prioritize outreach.
Voter profiles are matched against your ideal customer profile -- title, company, seniority, industry signals. Only the right ones get flagged for follow-up.
Hot leads route directly into personalized outreach sequences. The message references what they voted for. Response rates are 4x higher than cold outreach.
Built with
Real infrastructure.
Not duct tape.
Want something built like this
for your business?
This is one of seven systems we've built. Every project starts with understanding what's actually costing you time or money -- then we build the thing that solves it.