Twitter Posts

Overview

Contact Twitter Posts capture what individual prospects are saying on Twitter/X—their opinions, industry perspectives, challenges, and interests.

We match Twitter handles to contacts via LinkedIn profile links and name matching, then pull recent tweets with full engagement data. Each post is analyzed by AI to extract structured intelligence: topic tags from a 300+ category taxonomy, a factual summary, pain points, initiatives, technologies mentioned, and competitors referenced.

Subtype

Signal	Subtype Enum	Description
Twitter post	`twitter_post`	Contact's recent posts on Twitter/X

Schema

{
  "signal_id": "dbc467e8-84b3-4763-972a-deb88e75112a",
  "signal_type": "social_media",
  "signal_subtype": "twitter_post",
  "signal_name": "Twitter Post",
  "association": "contact",
  "detected_at": "2026-02-13T16:31:43.993Z",
  "contact": {
    "name": "Cathy Brown",
    "job_title": "Editor And Sr. Writer"
  },
  "company": {
    "name": "Pitting Outside The Box",
    "domain": "pittingoutsidethebox.com",
    "description": "Media and publishing company",
    "industries": ["Media Production"]
  },
  "data": {
    "post_url": "https://x.com/TheCathyBrown/status/2018702360843788335",
    "post_text": "This just won best #SuperBowl commercial, period... #JurassicPark",
    "posted_date": "Tue Feb 03 15:05:23 +0000 2026",
    "tweet_id": "2018702360843788335",
    "num_likes": 3,
    "num_reposts": 0,
    "num_replies": 0,
    "num_views": 361,
    "num_bookmarks": 0,
    "num_quotes": 0,
    "is_reply": false,
    "replied_to_username": null,
    "posting_source": "Twitter for iPhone",
    "language": "en",
    "hashtags": [
      {"text": "SuperBowl", "indices": [19, 29]},
      {"text": "JurassicPark", "indices": [53, 66]}
    ],
    "urls": [],
    "mentions": [],
    "contact_twitter_url": "https://x.com/TheCathyBrown",
    "contact_twitter_handle": "TheCathyBrown",
    "contact_twitter_bio": "Editor & Writer covering entertainment and pop culture.",
    "contact_twitter_followers": 5538,
    "contact_twitter_following": 1195,
    "contact_twitter_location": "Southern California",
    "contact_twitter_verified": true,
    "contact_twitter_verification_type": "blue",
    "contact_twitter_profile_picture": "https://pbs.twimg.com/profile_images/example_normal.jpg",
    "contact_twitter_account_created": "Tue Aug 11 14:52:44 +0000 2009",
    "contact_twitter_total_tweets": 95496,
    "contact_twitter_dm_open": false,
    "tags": [
      "Events",
      "Advertising",
      "Content Marketing"
    ],
    "summary": "Senior writer comments on a Super Bowl commercial, calling it the best.",
    "pain_points": [],
    "initiatives": [],
    "technologies_mentioned": [],
    "competitors_mentioned": []
  }
}

Field Reference

Core Fields

Field	Type	Description
`signal_id`	string (UUID)	Unique identifier for this signal
`signal_type`	string	Always `"social_media"`
`signal_subtype`	string	Always `"twitter_post"`
`signal_name`	string	Always `"Twitter Post"`
`association`	string	Always `"contact"`
`detected_at`	string (ISO 8601)	When we detected this signal

Contact Object

Field	Type	Description
`contact.name`	string	Contact's full name
`contact.job_title`	string	Contact's job title

Company Object

Field	Type	Description
`company.name`	string	Company name
`company.domain`	string \| null	Company website domain
`company.description`	string \| null	Company description
`company.industries`	array[string] \| null	Industry classifications

Data Object — Post Content

Field	Type	Description
`data.post_url`	string (URL)	Link to the tweet on X/Twitter
`data.post_text`	string	Full text of the tweet
`data.posted_date`	string	When the tweet was posted
`data.tweet_id`	string	Twitter/X tweet identifier
`data.is_reply`	boolean	Whether this tweet is a reply
`data.replied_to_username`	string \| null	Username being replied to (null if not a reply)
`data.posting_source`	string	Client used to post (e.g., "Twitter for iPhone")
`data.language`	string	Language code (e.g., "en")

Data Object — Engagement Metrics

Field	Type	Description
`data.num_likes`	integer	Number of likes
`data.num_reposts`	integer	Number of retweets/reposts
`data.num_replies`	integer	Number of replies
`data.num_views`	integer	Number of views/impressions
`data.num_bookmarks`	integer	Number of bookmarks
`data.num_quotes`	integer	Number of quote tweets

Data Object — Media & Links

Field	Type	Description
`data.hashtags`	array[object]	Hashtags used, each with `text` and `indices`
`data.urls`	array[string]	URLs included in the tweet
`data.mentions`	array[string]	@mentioned usernames

Data Object — Contact Twitter Account

Field	Type	Description
`data.contact_twitter_url`	string (URL)	Contact's Twitter/X profile URL
`data.contact_twitter_handle`	string	Twitter handle (without @)
`data.contact_twitter_bio`	string	Contact's Twitter bio
`data.contact_twitter_followers`	integer	Follower count
`data.contact_twitter_following`	integer	Following count
`data.contact_twitter_location`	string	Listed location
`data.contact_twitter_verified`	boolean	Verified status
`data.contact_twitter_verification_type`	string \| null	Verification type (e.g., "blue", "Business")
`data.contact_twitter_profile_picture`	string (URL)	Profile picture URL
`data.contact_twitter_account_created`	string	Account creation date
`data.contact_twitter_total_tweets`	integer	Total tweets from this account
`data.contact_twitter_dm_open`	boolean	Whether DMs are open

Data Object — AI-Extracted Intelligence

Field	Type	Description
`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 tweet
`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]	Competitor companies referenced

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 competitor company

Tags Taxonomy

Each tweet is automatically classified using a curated taxonomy of 300+ tags across 25 categories. Tweets 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 tweeting about cloud migration
Combine with other fields: Match tweets tagged "Artificial Intelligence" where technologies_mentioned includes a specific platform with status "evaluating" — high-intent signal
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 tweets are unstructured text. Our AI processing layer extracts six structured, queryable fields from every tweet:

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 tweet 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

"Cathy - saw your tweet about the Jurassic Park Super Bowl ad. Great eye for what resonates with audiences. We're helping media writers like you track campaign performance at scale. Would love to share what's working."

Related Insights

For company-level Twitter activity, see Company Twitter Posts.

Identity Resolution

Every contact Twitter/X signal is pre-resolved to a business contact record. Here's how:

Twitter handle identified from post activity
Cross-referenced against LinkedIn profiles that list a Twitter handle
Full name + job title + current company matched against Twitter profile bio, location, and post content
Only matches exceeding strict confidence thresholds are accepted — we prefer no match over a false match
Business email and company resolved from the matched contact record in our database (250M+ contacts, 75M+ companies)

Key Points

Business emails only. The contact.email field (when populated) is a professional/work email. Domain validation excludes generic providers.
Full resolution chain exposed. Each signal includes data.contact_twitter_url and data.contact_twitter_handle so you can see exactly how the identity was resolved.
Account metadata included. Each signal includes the contact's Twitter bio, followers, verification status, and account age for additional context.

Full matching guide with SQL examples: Resolution

Coverage

Refresh: Monthly
Coverage: 4,000,000 contacts
Best for: Social selling, thought leadership outreach, executive engagement