Social Intelligence
LinkedIn Post Signals
300+ AI-tagged signal types from individual LinkedIn posts. Detect pain points with intensity scoring, technology mentions, strategic initiatives, and professional milestones across 4M+ contacts.
Contacts Covered
Tag Types
Refresh Cadence
Avg Tags per Post
What Are LinkedIn Contact Signals?
LinkedIn is where B2B professionals share their priorities, challenges, and achievements in real time. When a VP of Engineering posts about struggling with CI/CD pipeline reliability, when a CMO shares thoughts about rebranding, or when a CTO announces a new technology adoption, those posts contain high-intent signals that are directly actionable for sales teams.
Autobound monitors LinkedIn activity for 4M+ contacts and applies 300+ AI-generated tags to each post. These tags go far beyond simple keyword matching. Our models understand context, detect pain points with intensity scoring (mild frustration vs. urgent crisis), identify technology mentions with usage context (evaluating vs. actively using vs. replacing), and surface professional milestones that create conversation openings.
Each LinkedIn signal includes the original post content, all applied tags, relevance scoring, and engagement metrics. The tagging system categorizes signals into pain points, initiatives, technology discussions, thought leadership, hiring announcements, and personal milestones. This granularity lets you filter for exactly the signals that match your product's value proposition.
LinkedIn signals are uniquely powerful because they reveal individual-level intent. While company-level signals tell you what an organization is doing, LinkedIn post signals tell you what specific people care about, worry about, and invest time thinking about. This makes them ideal for personalized outreach at scale.
Example Signal Subtypes
See It in Action
Real-World Example
Signal Detected
A VP of Engineering at Datadog posts on LinkedIn about struggling with observability tool sprawl: 'We've been running 5 different monitoring tools for 3 years. The cognitive overhead is killing our on-call team.'
Sales Action
Your SDR sends a reply referencing the exact post: 'Saw your post about monitoring tool consolidation — we helped a similar team go from 5 tools to 1 and cut on-call fatigue by 60%.'
Result
4x higher reply rate because you're responding to a publicly stated pain point, not a cold pitch.
Data Schema
LinkedIn Post Signal Schema
LinkedIn contact signals include the full post content, 300+ AI-generated tags with intensity scoring, engagement metrics, and contact resolution data.
{
"signal_id": "d2c47f93-1a5e-4b89-9c70-3e6d8f2a1b45",
"signal_type": "linkedin-post-contact",
"signal_subtype": "painPoint",
"detected_at": "2026-01-20T11: 30: 15Z",
"association": "contact",
"contact": {
"full_name": "Sarah Chen",
"title": "VP of Engineering",
"linkedin_url": "linkedin.com/in/sarahchen",
"email": "sarah.chen@example.com"
},
"company": {
"name": "Datadog",
"domain": "www.datadoghq.com",
"industries": ["Cloud Monitoring"]
},
"data": {
"summary": "Discussing struggles with observability tool sprawl and the need for platform consolidation.",
"post_content": "We've been running 5 different monitoring tools for 3 years now. The cognitive overhead is killing our on-call team...",
"tags": ["observability", "tool-consolidation", "pain-point-high", "platform-evaluation"],
"pain_intensity": "high",
"relevance": 0.91,
"confidence": "high",
"sentiment": "negative",
"engagement": {
"likes": 234,
"comments": 47
}
}
}Use Cases
How Sales Teams Use LinkedIn Post Signals (Contact-Level)
Pain-Point-Based Outreach
Detect when prospects publicly discuss challenges your product solves. A VP of Sales complaining about pipeline visibility is a perfect opening for a CRM analytics vendor.
Technology Evaluation Signals
Identify contacts actively evaluating or discussing technologies in your category. Posts mentioning tool comparisons, vendor evaluations, or migration plans indicate active buying intent.
Thought Leadership Engagement
Find prospects sharing strong opinions about topics related to your product category. Engaging with their content first builds rapport before any sales outreach.
Milestone-Based Triggers
Professional milestones like promotions, new roles, or project completions create natural conversation openings. LinkedIn signals capture these events with timing precision.
Champion Identification
Find internal champions who are already advocating for solutions like yours. Posts discussing specific technology benefits or vendor recommendations reveal potential advocates within target accounts.
FAQ
Frequently Asked Questions
How are LinkedIn contact signals different from company-level LinkedIn signals?
How many contacts are covered by LinkedIn post signals?
What does the 300+ tags classification include?
Can I use LinkedIn signals for ABM campaigns?
How It Works
From Raw Data to Actionable Signals
Autobound transforms unstructured data into structured, scored signals your team can act on immediately.
Autobound Ingests
Raw data from LinkedIn API, Glassdoor, GitHub, Reddit, G2 is continuously collected and normalized.
AI Extracts & Scores
ML models extract signal subtypes with relevance scoring, confidence levels, and sentiment analysis.
You Receive
Structured JSONL signals delivered via REST API, GCS Push, Generate Insights API, or Flat File export.
Flexible Delivery
Access LinkedIn Post Signals (Contact-Level) Your Way
LinkedIn Post Signals (Contact-Level) are available through all Autobound delivery methods. Choose the approach that fits your infrastructure.
REST API
Real-time access with subtype filtering
300 req/min
GCS Push
Automated delivery to your bucket
JSONL + Parquet
Generate Insights API
On-demand LLM-ranked insights
AI relevance scoring
Flat File
Bulk exports for data warehouses
CSV, JSON, ParquetRelated Signals
Combine for Deeper Intelligence
LinkedIn Post Signals (Contact-Level) become more powerful when combined with related signal types. Cross-referencing multiple signals reveals patterns that no single source can surface alone.
“By consolidating three data vendors into Autobound's Generate Insights API, we added 100+ new signal types and saved 4 months of engineering time.”
AiSDR Team
Engineering, AiSDR
API Documentation
Explore the API
Full schema reference, sample requests, and integration guides. Everything you need to start consuming LinkedIn Post Signals (Contact-Level) in your application.
Ready to License
LinkedIn Post Signals (Contact-Level)?
Custom pricing based on signal types, delivery frequency, and volume. Get a proof-of-concept running in days, not months.