LinkedIn Posts
A person's posts and engagement activity on LinkedIn.
This insight captures a prospect's LinkedIn activity, revealing their pain points and priorities through their posts.
Why This Insight Matters
- Surfaces active pain points and challenges
- Reveals current initiatives and priorities
- Shows what they care enough about to post
- Indicates timing and urgency of needs
Subtype
| Signal | Subtype Enum | Description |
|---|---|---|
| LinkedIn post | linkedinPost | Contact's recent posts on LinkedIn |
Schema
{
"signal_id": "f47ac10b-58cc-4372-a567-0e02b2c3d479",
"signal_type": "linkedin-post-contact",
"signal_subtype": "linkedinPost",
"signal_name": "Contact posted on LinkedIn",
"association": "contact",
"detected_at": "2025-09-10T18:31:22Z",
"contact": {
"email": "[email protected]",
"name": "Gabriella Klotz",
"first_name": "Gabriella",
"last_name": "Klotz",
"job_title": "Senior Content Marketing Manager",
"seniority_level": "senior",
"department": "Marketing",
"linkedin_url": "https://www.linkedin.com/in/gabriellaklotz",
"city": "Austin",
"state": "TX",
"country": "United States"
},
"company": {
"name": "Whitebalance",
"domain": "whitebalance.co",
"linkedin_url": "https://www.linkedin.com/company/whitebalance",
"industries": ["Marketing Services", "Content Management Software"],
"employee_count_low": 51,
"employee_count_high": 200,
"description": "Whitebalance provides content management and digital brand infrastructure tools for high-growth marketing teams."
},
"data": {
"post_url": "https://www.linkedin.com/feed/update/urn:li:activity:7315779816467656705/",
"post_text": "The National Football League (NFL) regular season is underway and brands are already competing for attention across digital channels.",
"posted_date": "2025-09-09T14:39:39Z",
"num_likes": 6928,
"num_comments": 321,
"tags": ["Content Marketing", "Brand Strategy", "Digital Campaigns"]
}
}Field Reference
Core Fields
| Field | Type | Description |
|---|---|---|
signal_id | string (UUID v4) | 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 saved this row |
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") |
contact.department | string | Department (e.g., "Marketing") |
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] | Gemini-generated topic tags |
Example Output
"Gabriella - saw your post about NFL brands competing for digital attention. When you're scaling content marketing across multiple channels, maintaining personalization at volume is critical. Would love to share how Autobound helps teams like yours do exactly that."
Coverage
- Refresh: Every 2 weeks
- Coverage: 25-50% of contacts
- Best for: Social selling, account-based marketing, timing outreach
Updated 5 days ago
