LinkedIn Posts

Overview

Contact LinkedIn Posts capture what individual prospects are publicly saying about their priorities, challenges, and initiatives.

We track millions of professional LinkedIn profiles, optimizing coverage by seniority, title, and account importance. Each post is analyzed to extract structured pain points, initiatives, technologies mentioned, and competitors referenced—turning unstructured social content into actionable signal.

The result: you can reference a prospect's own words in outreach, understand what they care about before the first call, and time your message to what's top of mind for them right now.

How we build and maintain coverage: Our monitoring pool is designed to maximize buyer coverage across your highest-value accounts while maintaining a well-distributed sample across geographies, industries, and company sizes.

We continuously ingest new LinkedIn profile URLs and evaluate whether we can successfully gather posts from them. We plan to roughly double the total number of contacts in our monitoring pool in the near term - expanding coverage for mid-market, SMB, and international segments.

See how coverage works →

Subtype

Signal	Subtype Enum	Description
LinkedIn post	`linkedinPost`	Contact's recent posts on LinkedIn

Schema

{
  "signal_id": "5349e887-baee-4974-aa3e-02294badfa94",
  "signal_type": "linkedin-post-contact",
  "signal_subtype": "linkedinPost",
  "signal_name": "Contact posted on LinkedIn",
  "association": "contact",
  "detected_at": "2026-01-22T15:36:11.235Z",
  "contact": {
    "email": "[email protected]",
    "name": "Aditya Shankar",
    "first_name": "Aditya",
    "last_name": "Shankar",
    "job_title": "Senior Director of Marketing",
    "linkedin_url": "linkedin.com/in/aditya-shankar"
  },
  "company": {
    "name": "hosted.ai",
    "domain": "hosted.ai",
    "linkedin_url": "linkedin.com/company/hostedai",
    "description": "AI infrastructure company",
    "industries": [
      "Software Development"
    ],
    "employee_count_low": 11,
    "employee_count_high": 50
  },
  "data": {
    "post_url": "https://www.linkedin.com/feed/update/urn:li:activity:7416003205425303552/",
    "post_text": "The inaugural AI Leadership Forum exceeded my expectation. We brought together 80 leaders across tech, infrastructure, and VC. The 'Agentic Workforce' is here. We must treat AI agents with the same rigor as FTEs.",
    "posted_date": "2026-01-11T06:29:06.850Z",
    "num_likes": 116,
    "num_comments": 4,
    "tags": [
      "Artificial Intelligence",
      "Events",
      "Digital Transformation",
      "Workforce Management"
    ],
    "summary": "Senior Director of Marketing reflects on successful AI Leadership Forum hosting 80 leaders.",
    "pain_points": [],
    "initiatives": [
      {
        "topic": "hosting AI Leadership Forum",
        "urgency": 0.9
      },
      {
        "topic": "establishing new office in HSR",
        "urgency": 0.8
      }
    ],
    "technologies_mentioned": [
      {
        "name": "AI Agents",
        "status": "using"
      },
      {
        "name": "DeepSeek",
        "status": "considering"
      }
    ],
    "competitors_mentioned": [
      {
        "name": "packet.ai"
      },
      {
        "name": "GPUaaS.com"
      }
    ]
  }
}

Field Reference

Core Fields

Field	Type	Description
`signal_id`	string (UUID)	Unique identifier for this signal
`signal_type`	string	Always `"linkedin-post-contact"`
`signal_subtype`	string	Always `"linkedinPost"`
`signal_name`	string	Always `"Contact posted on LinkedIn"`
`association`	string	Always `"contact"`
`detected_at`	string (ISO 8601)	When we detected this signal

Contact Object

Field	Type	Description
`contact.email`	string	Contact's email address
`contact.name`	string	Contact's full name
`contact.first_name`	string	Contact's first name
`contact.last_name`	string	Contact's last name
`contact.job_title`	string	Contact's job title
`contact.seniority_level`	string	Seniority level (e.g., "senior", "head", "director")
`contact.department`	string	Department (e.g., "Marketing", "Engineering")
`contact.linkedin_url`	string	Contact's LinkedIn URL
`contact.city`	string	Contact's city
`contact.state`	string	Contact's state
`contact.country`	string	Contact's country

Company Object

Field	Type	Description
`company.name`	string	Company name
`company.domain`	string	Company website domain
`company.linkedin_url`	string	LinkedIn company URL
`company.industries`	array[string]	Industry classifications
`company.employee_count_low`	integer	Lower bound of employee count
`company.employee_count_high`	integer	Upper bound of employee count
`company.description`	string	Company description

Data Object

Field	Type	Description
`data.post_url`	string (URL)	Link to the LinkedIn post
`data.post_text`	string	Full post content
`data.posted_date`	string (ISO 8601)	When the post was published
`data.num_likes`	integer	Number of likes on the post
`data.num_comments`	integer	Number of comments on the post
`data.tags`	array[string]	AI-generated topic tags from a curated taxonomy of 300+ values (see full list)
`data.summary`	string	AI-generated 10-15 word factual summary of the post
`data.pain_points`	array[object]	Challenges or problems the contact is experiencing
`data.initiatives`	array[object]	Projects or activities the contact is pursuing
`data.technologies_mentioned`	array[object]	Tech products or platforms referenced
`data.competitors_mentioned`	array[object]	Other companies referenced in the post

Pain Points Object

Field	Type	Description
`topic`	string	Description of the pain point (3-8 words)
`intensity`	float (0-1)	How acute the pain is expressed. `0.0-0.3` minor, `0.4-0.6` moderate, `0.7-1.0` significant/urgent

Initiatives Object

Field	Type	Description
`topic`	string	Description of the initiative (3-8 words)
`urgency`	float (0-1)	How immediate/active the initiative is. `0.0-0.3` aspirational, `0.4-0.6` in progress, `0.7-1.0` active/imminent

Technologies Mentioned Object

Field	Type	Description
`name`	string	Name of the technology, product, or platform
`status`	enum	Relationship to the technology (see values below)

Technology status values:

Status	Meaning
`evaluating`	Testing, piloting, in POC
`using`	Part of their current stack
`implemented`	Recent deployment or go-live
`migrating_from`	Leaving, replacing, sunsetting
`migrating_to`	Moving to, adopting, switching to
`churned`	Stopped using, dropped
`considering`	Interest expressed but no active evaluation
`integrated`	Connected to their stack or built an integration
`building_on`	Developing on top of, using APIs
`hiring_for`	Hiring for this technology

Competitors Mentioned Object

Field	Type	Description
`name`	string	Name of the company mentioned

Tags Taxonomy

Each post is automatically classified using a curated taxonomy of 300+ tags across 25 categories. Posts can have multiple tags. Use these values to filter signals by topic.

View Full Tag Taxonomy (25 categories)

Analytics & Reporting

Analytics & Insights · Big Data · Business Intelligence · Data Management · Data Science · Data Warehousing · Enhanced Content

Automotive & Machinery

Automotive · Machinery

Barriers & Pain Points

Barriers · Pain Point

Budgeting, Planning & Strategy

Asset Management · Board of Directors · Capacity Planning · Corporate Strategy · Forecasting · Layoffs · Mergers & Acquisitions · Spending/Investment · Sustainability

Business Operations

Automation · Business Insurance · Change Management · Operations

Communication Tools

Bring Your Own Device (BYOD) · Collaboration / Web Apps · Communications · Email · Messaging · Mobile Devices · Mobility · Wireless

Conferences, Events & Awards

Award · Events

Consumer Finance

Banking · Consumer Finance

Corporate Finance

Accounting · Acquisitions · Audit · Bankruptcy · Billing & Invoice · Business Finance · Buyout · Cryptocurrency · Divestiture · Earnings · Finance · Financial Operations · Financial Planning · Financial Reporting · Financial Strategy · Financial Systems · Financial Transactions · Financing & Debt · Funding · Internal Audit & Control · Investor Relations · IPO · IT Audit / Compliance · Mergers · Private Equity · Risk · Share Placement · Sourcing / Procurement · Stake & Stock Ownership · Tax

Emerging Tech

Artificial Intelligence · Autonomous Technology · Blockchain · Cloud · IoT · Language Technology · Machine Learning · Robotics · Virtual / Augmented Reality · Virtualization · Voice Technology

Enterprise Technology

Academic Systems · Enterprise Software · Industry Software · Retail / Store Systems

Facilities & Supply Chain

Construction · Enterprise Resource Planning · Facilities Maintenance · Facilities Management · Facilities Relocation/Expansion · Inventory Management · Leasing · Logistics / Supply Chain · Manufacturing Operations · Office Operations · Real Estate · Safety · Shut Down · Store Operations · Warehouse Operations

Food, Beverage & Hospitality

Food & Beverage · Hospitality

Hiring & Role Change

Executive Moves · Hiring Plans · Lateral Move · Left Company · New Hire · Personnel Moves · Promotion · Seeking Replacement

HR

Certifications · Company Culture & Policy · Compensation & Benefits · Contingent Workforce · Diversity & Inclusion · Employee Engagement · Employee Relations · Employee Retention · Health & Fitness · Health & Safety · HR Operations · HRIS · Learning & Development · Learning Management Systems (LMS) · Organizational Development · Outsourcing · Recruitment · Talent Acquisition · Talent Management · Training · Workforce Management

Infrastructure

Data Center · Desktop · Device Management · Infrastructure · Network · Servers

Legal & Regulatory

Compliance · eDiscovery · General Counsel · Governance · Governmental Affairs & Regulation · Information Governance · Intellectual Property · Labor & Employment Policy · Lawsuits · Legal Affairs · Legal Counsel · Legal Operations · Legal Technology · Privacy · Regulations · Settlement

Marketing

Advertising · Branding · Content Management · Content Marketing · CRM · Customer Marketing · Demand Generation · Design & Graphics · Digital Marketing · Event Management · Event Marketing · Field Marketing · Lead Generation · Marketing Analytics / Insights · Marketing Automation · Marketing Campaign · Marketing Communications · Marketing Operations · Marketing Relationships · Marketing Strategy · Marketing Technology · Media / Creative Agency · Print Advertising · Product Marketing · Public Relations · Relationship Marketing · SEO / SEM · Social Media Marketing · Strategic Communications · Technical Marketing

Medical & Health

Bioengineering · Biometrics · Chiropractics · Clinical Operations · Clinical Systems · Doctors / Physicians · Electronic Health Record (EHR) · First Responder · Healthcare Operations · Healthcare Technology · Laboratory Operations · Medical Administration · Medical Education & Training · Medical Research · Optometry · Patient Experience · Pharmaceuticals · Physical Therapy · Public Health · Radiology · Telemedicine

Product Development & QA

Chemical Engineering · Consumer Technology · Engineering · Industrial Engineering · Language · Partnership · Product Development · Product Launch · Product Management · Proof of Concept (POC) · Quality Assurance · Quality Management · Research & Development · Scrum / Agile · User Interface

Project Management

Consolidation · Implementation · Integration · Migration · Request for Proposal (RFP) · Upgrade

Sales

Account Management · Business Development · Channel Sales · Contracts · Customer Retention & Development · Customer Success · Field /Outside Sales · Inside Sales · Lead Management · Pricing · Revenue Operations · Sales · Sales Development · Sales Enablement · Sales Operations · Sales Technology · Sales Training

Security

Authentication · Cyber Security · Fraud Protection · Information Security · Product Security · Security · Single Sign-On (SSO) · Threat Intelligence

Software Engineering

Application Development · DevOps · Mobile Applications · Open Source · Software · Speech Recognition

Storage

Backup · Disaster Recovery · Document Management · Records Management · Storage

Technology

Database · Digital Technology · Digital Transformation · Enterprise Architecture · Information Technology · IT Administration · IT Contracts · ITSM · Legacy Systems · Mapping & GIS · Office Hardware · Office Software · Operating Systems · Technical Support

Telecommunications

Telecom · Unified Communications · Video · VoIP

User Experience & Support

Accessibility · Contact / Call Center · Customer Engagement · Customer Experience · Customer Service · Help Desk · User Experience

Utilities, Oil & Gas

Energy / Power · Oil & Gas · Utility Operations

Web

eCommerce · Omnichannel · Search · Social Media · Website

Filtering Tips

Topic targeting: Filter by tags like "Cloud" + "Migration" to find contacts actively discussing cloud migration
Combine with other fields: Match posts tagged "Artificial Intelligence" where technologies_mentioned includes a competitor with status "evaluating" — high-intent signal for competitive displacement
Pain point + tag: Tags tell you what area someone is focused on; pain_points tell you what's hurting — together they power highly personalized outreach
Segment building: Tags are consistent values from a fixed taxonomy, making them ideal for building segments, dashboards, and automated routing workflows

Why Processed Data?

Raw LinkedIn posts are unstructured text. Our AI processing layer extracts six structured, queryable fields from every post:

Field	What You Get	Without Processing
Tags	Consistent categories from 300+ taxonomy	Build your own classification model
Summary	10-15 word factual summary	Prompt an LLM per post at scale
Pain Points	Extracted problems + intensity score	Custom NLP extraction pipeline
Initiatives	Active projects + urgency score	Custom extraction + scoring
Technologies	Named tech + adoption status	Entity recognition + status classification
Competitors	Named competitors	Entity extraction + company matching

This eliminates the need to build your own NLP pipeline, define a taxonomy, handle edge cases, calibrate scoring, and pay for LLM API calls at scale. Even if you plan to run custom analysis on top, embeddings and search on our processed fields (summary + tags + pain_points + initiatives) are significantly richer than raw post_text alone.

Example Output

"Karie - saw your post about growth marketing needing to be structured and data-informed. Totally agree that without a roadmap, you're just doing more. We've helped marketing leaders like you build that strategic framework. Would love to share what's worked."

Identity Resolution

Every contact LinkedIn post signal is pre-resolved to a business contact record with a work email. Here's how:

LinkedIn profile URL captured from the post activity — this is a deterministic, unique identifier
Profile URL matched against our contact database (250M+ contacts, 75M+ companies), ingested monthly with continuous updates from our pipeline exhaust
Business email, job title, and company resolved from the matched record
Company firmographic data (domain, LinkedIn URL, industries, headcount) attached

Key Points

Business emails only. The contact.email field is a professional/work email. Our domain validation excludes generic providers (gmail.com, yahoo.com, etc.). We do not deliver personal emails.
Match accuracy: 99.8%. We prefer no match over a false match — if we can't resolve a profile to a business contact with high confidence, the signal is not delivered.
Coverage: contact.linkedin_url is populated on 90-98% of signals. contact.email is populated on 85-95%.
No false positives from common names. LinkedIn profile URLs are deterministic unique identifiers — there is no ambiguity in the match.

Full matching guide with SQL examples: Resolution

Coverage

Refresh: Every 2 weeks
Coverage: 4,000,000 contacts
Best for: Social selling, account-based marketing, timing outreach

How Coverage Works

Our monitoring pool balances two objectives: deep buyer coverage on your most important accounts, and broad distribution across the market.

Prioritizing hot accounts. Contacts at high-value accounts—based on account importance, seniority, and title relevance—are prioritized for monitoring. This ensures the prospects most likely to appear in your pipeline have the highest likelihood of coverage.

Sampling across segments. Beyond priority accounts, we maintain a well-distributed sample across geographies, industries, and company sizes. This prevents blind spots in underrepresented segments and ensures signal coverage scales with your market, not just your ABM list.

Continuous URL ingestion. We are constantly adding new LinkedIn profile URLs to the monitoring pool and evaluating whether we can successfully gather posts from them. Profiles that are publicly accessible and active are retained; inactive or restricted profiles are cycled out.

Pool expansion. We plan to roughly double the total number of contacts in our monitoring pool in the near term. This expansion specifically targets improved coverage for mid-market and SMB companies, international markets (EMEA, APAC), and emerging industries and verticals.