Twitter/X Posts (Company)

Company Twitter Posts capture what organizations are publicly communicating on X (formerly Twitter) — product announcements, strategic shifts, integrations, and market positioning in real time.

We monitor company Twitter/X accounts across hundreds of thousands of organizations, matching handles via domain lookup and LinkedIn cross-referencing. The same monitoring infrastructure powers social products at multiple billion-dollar enterprise platforms. Each tweet is analyzed to extract initiatives, pain points, technologies mentioned, and competitors referenced. Twitter’s brevity and real-time nature make it ideal for catching announcements as they happen — often before they reach a company’s blog or press page.

The result: you can reference a company's latest announcement in outreach within hours, identify strategic direction from product tweets, and spot competitive positioning in real time.

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See real delivered data → Sample Files

Filter by topic — This signal uses Tags Taxonomy (300+ values) rather than subtypes for topic-based filtering. Use tags alongside pain_points, initiatives, and technologies_mentioned for targeting and routing.

Example Signal

What a single entry looks like in a delivered signal file:

{
  "signal_id": "c8e27d14-6b3a-4f92-8d1e-47a9c5f10b83",
  "batch_id": "2026-03-15-00-00-00",
  "signal_type": "twitter-company-posts",
  "signal_subtype": "companyTweet",
  "detected_at": "2026-03-14T21:15:09.442Z",
  "association": "company",
  "company": {
    "name": "Notion",
    "domain": "notion.so",                         // match on domain
    "linkedin_url": "linkedin.com/company/notionhq",  // or match on LinkedIn URL
    "industries": ["Software Development"],
    "employee_count_low": 501,
    "employee_count_high": 1000,
    "description": "Connected workspace for notes, docs, and projects..."
  },
  "contact": [],
  "data": {
    "summary": "Notion announces native Salesforce integration and enterprise API, signaling push into revenue team workflows...",
    "post_text": "Your CRM shouldn't live in a silo. Today we're launching native Salesforce integration + a new Enterprise API for custom workflows. Pipeline reviews, deal rooms, handoff docs - all connected...",
    "post_url": "https://x.com/NotionHQ/status/1901234567890123456",
    "posted_date": "2026-03-14",
    "tweet_id": "1901234567890123456",
    "posting_source": "Sprout Social",
    "language": "en",
    "is_reply": false,
    "num_likes": 4892,
    "num_reposts": 1247,
    "num_replies": 312,
    "num_quotes": 89,
    "num_bookmarks": 2103,
    "num_views": 847000,
    "hashtags": ["#NotionEnterprise", "#SalesOps"],
    "mentions": ["@salesforce"],
    "urls": ["https://notion.so/enterprise-api"],
    "tags": ["CRM integration", "enterprise API", "revenue workflows"],
    "pain_points": [
      { "topic": "CRM data silos across tools", "intensity": 0.72 },
      { "topic": "disconnected deal documentation", "intensity": 0.65 }
    ],
    "initiatives": [
      { "topic": "native Salesforce integration", "urgency": 0.94 },
      { "topic": "Enterprise API launch", "urgency": 0.91 }
    ],
    "technologies_mentioned": [
      { "name": "Salesforce", "status": "in_use" },
      { "name": "REST API", "status": "in_use" }
    ],
    "competitors_mentioned": [
      { "name": "Confluence" }
    ],
    "company_twitter_handle": "@NotionHQ",
    "company_twitter_url": "https://x.com/NotionHQ",
    "company_twitter_bio": "Your connected workspace. Notes, docs, projects - all in one place.",
    "company_twitter_followers": 892000,
    "company_twitter_following": 1247,
    "company_twitter_verified": true,
    "company_twitter_verification_type": "business",
    "company_twitter_total_tweets": 12400,
    "company_twitter_dm_open": false,
    "company_twitter_location": "San Francisco, CA",
    "company_twitter_account_created": "2016-06-15",
    "company_twitter_profile_picture": "https://pbs.twimg.com/profile_images/notionhq.jpg"
  }
}

Field Reference

Standard envelope and entity fields are shared across all signals - see Schema and Resolution. The fields below are specific to this signal:

Signal-Specific Fields

The data object contains everything unique to this signal type - the intelligence extracted from the company's tweet.

Field	Type	Description
`summary`	string	One-line headline describing the tweet's strategic significance (e.g., "Notion announces Salesforce integration, targeting revenue teams"). Designed for notifications and list views. Typically 10-20 words
`post_text`	string	The full tweet text. Useful for referencing exact wording in outreach and understanding the company's messaging
`post_url`	string (URL)	Direct link to the tweet on X. Useful for verification and display
`posted_date`	string (date)	Date the tweet was posted. Useful for recency filtering
`tweet_id`	string	Unique Twitter/X tweet identifier. Useful for API lookups and deduplication
`posting_source`	string	Application used to post (e.g., "Sprout Social", "Twitter Web App"). Useful for identifying managed vs. organic posts
`language`	string	ISO 639-1 language code of the tweet. Useful for filtering non-English content
`is_reply`	boolean	Whether this tweet is a reply to another tweet. Replies often reveal more candid opinions
`replied_to_username`	string	Username of the account being replied to (if `is_reply` is true)
`num_likes`	integer	Like count at time of processing
`num_reposts`	integer	Repost/retweet count. High reposts indicate announcements the market is amplifying
`num_replies`	integer	Reply count. High replies suggest active discussion or controversy
`num_quotes`	integer	Quote tweet count. Quotes often contain commentary from industry voices
`num_bookmarks`	integer	Bookmark count. High bookmarks indicate content people want to reference later - a strong intent signal
`num_views`	integer	View/impression count. Useful for understanding reach
`hashtags`	array[string]	Hashtags used in the tweet. Useful for topic filtering
`mentions`	array[string]	@mentions in the tweet. Useful for identifying partnerships and integrations
`urls`	array[string]	URLs shared in the tweet. Often point to product pages, blog posts, or landing pages
`tags`	array[string]	Topic tags extracted from the tweet content. Useful for signal filtering
`pain_points`	array[object]	Challenges referenced in the tweet. Each entry has `topic` and `intensity` (0.0-1.0)
`pain_points[].topic`	string	Description of the pain point
`pain_points[].intensity`	float (0.0-1.0)	How strongly expressed
`initiatives`	array[object]	Strategic initiatives announced. Each entry has `topic` and `urgency` (0.0-1.0). Useful for identifying companies actively investing in areas you serve
`initiatives[].topic`	string	Description of the initiative
`initiatives[].urgency`	float (0.0-1.0)	How immediate the initiative appears
`technologies_mentioned`	array[object]	Technologies referenced. Each entry has `name` and `status` (`in_use`, `evaluating`, `replacing`, `mentioned`)
`technologies_mentioned[].name`	string	Name of the technology
`technologies_mentioned[].status`	string	Relationship to the technology
`competitors_mentioned`	array[object]	Competitors named in the tweet. Each entry has `name`
`competitors_mentioned[].name`	string	Competitor name
`quoted_tweet.text`	string	Text of a quoted tweet, if this tweet quotes another. Provides additional context
`quoted_tweet.author.name`	string	Display name of the quoted tweet's author
`quoted_tweet.author.userName`	string	Username/handle of the quoted tweet's author
`company_twitter_handle`	string	The company's Twitter/X handle (e.g., "@NotionHQ")
`company_twitter_url`	string (URL)	Link to the company's Twitter/X profile
`company_twitter_bio`	string	The company's Twitter bio. Useful for understanding how they position themselves
`company_twitter_followers`	integer	Follower count. Useful for gauging the company's social reach
`company_twitter_following`	integer	Following count
`company_twitter_verified`	boolean	Whether the account is verified on X
`company_twitter_verification_type`	string	Type of verification: `business`, `government`, `blue`
`company_twitter_total_tweets`	integer	Total tweet count for the account
`company_twitter_dm_open`	boolean	Whether DMs are open. Useful for social selling motions
`company_twitter_location`	string	Location listed on the company's profile
`company_twitter_account_created`	string (date)	When the account was created
`company_twitter_profile_picture`	string (URL)	Profile picture URL

Timing & Delivery

detected_at is when we processed the tweet. Use posted_date for the original publication date.
One signal per company per tweet. Multiple tweets in a delivery window generate separate signals.
Each delivery arrives in a timestamped folder. Treat all signals in a new folder as recent - no need to diff against prior deliveries.

Coverage

Refresh: Monthly
Coverage: Hundreds of thousands of company Twitter/X accounts
Best for: Catching product announcements in real time, identifying strategic direction from public messaging, spotting new integrations and partnerships

Contact Sales →

See real delivered data → Sample Files

Example Signal

Field Reference

Signal-Specific Fields

Timing & Delivery

Coverage