Reddit Mentions

Overview

Reddit Mentions surface authentic, unfiltered discussions about companies—what real users are saying when they're not talking to vendors.

We analyze 50k+ subreddits and search across 4M+ companies to surface mentions in threads and comments. For recent discussions, we analyze both the original post and the comment thread to produce one or more signals—multiple comments on the same topic can contribute to a single aggregated signal. Each mention is categorized into one of 15 subtypes (buying intent, churn risk, pain points, security concerns, etc.) and scored for relevance, confidence, and urgency.

Available Subtypes

Subtype Enum	Category	Description
`brandReputation`	sentiment	Discussions about overall brand perception and reputation
`buyingIntent`	buying-intent	Active discussions about evaluating or purchasing solutions
`churnRisk`	risk	Users expressing dissatisfaction or intent to switch providers
`competitorMention`	competitive	Active threads comparing the company to competitors
`implementationHelp`	product	Users seeking guidance on setup or integration
`industryTrend`	market	Emerging category or market trends being discussed
`integrationNeed`	product	Users discussing integration requirements or challenges
`negativeReview`	sentiment	Users criticizing or warning against the product
`painPoint`	pain-point	Users discussing problems or frustrations with a product
`positiveReview`	sentiment	Users praising or recommending the product
`pricingConcern`	risk	Discussions about pricing issues, value, or cost complaints
`productFeedback`	product	Feature requests, bugs, or improvement suggestions
`securityConcern`	risk	Discussions about security, privacy, or data concerns
`supportIssue`	product	Customer support quality or responsiveness problems
`useCase`	buying-intent	Users sharing how they use the product or seeking advice

Schema

{
  "signal_id": "5a95c667-e7ef-4b0f-9184-9037409f164f",
  "batch_id": null,
  "signal_type": "reddit-mentions",
  "signal_subtype": "buyingIntent",
  "signal_name": "Reddit Mention",
  "signal_category": "buying-intent",
  "detected_at": "2026-03-24T09:30:54.407Z",
  "association": "company",
  "company": {
    "name": "Basketcase",
    "domain": "basketcase.gallery",
    "description": "Basketcase.gallery is a webstore and a portfolio focused on young art and streetwear out of Southern California.",
    "industries": [
      "Retail Apparel and Fashion"
    ],
    "linkedin_url": "linkedin.com/company/basketcasegallery",
    "employee_count_low": 2,
    "employee_count_high": 10
  },
  "data": {
    "summary": "There is strong buying intent for Basketcase Gallery products, with one user explicitly stating they want to buy a specific item (Bruisers Zip-Up Hoodie). Another user positively showcased a shirt from the brand as part of a styled outfit, indicating customer satisfaction and brand adoption.",
    "sentiment": "positive",
    "confidence_score": 0.95,
    "salience_score": 0.85,
    "recency_score": 0.9,
    "moderation_score": 0.1,
    "urgency": "medium",
    "buying_stage": "decision",
    "objection_type": null,
    "audience_type": [
      "current customer",
      "potential customer",
      "fashion enthusiast"
    ],
    "evidence": [
      "https://www.reddit.com/r/BasketcaseGallery/comments/1rv2wsz/wtb_basketcase_gallery_bruisers_zipup_hoodie/",
      "https://www.reddit.com/r/OUTFITS/comments/1rsb7x4/fit_from_a_night_out/"
    ],
    "source_urls": [
      "https://www.reddit.com/r/BasketcaseGallery/comments/1rv2wsz/wtb_basketcase_gallery_bruisers_zipup_hoodie/",
      "https://www.reddit.com/r/OUTFITS/comments/1rsb7x4/fit_from_a_night_out/"
    ],
    "competitors_mentioned": [
      "Chrome Hearts",
      "Zara",
      "Dr.Marten"
    ],
    "topics_tags": [
      "WTB",
      "Basketcase Gallery",
      "Hoodie",
      "Outfit"
    ],
    "topics": [
      "Demand for Bruisers Zip-Up Hoodie",
      "Customer Outfit Showcase"
    ],
    "subreddits": [
      "BasketcaseGallery",
      "OUTFITS"
    ],
    "total_upvotes": 7,
    "total_comments": 3,
    "post_text": "Went out with friends the other night and got some fit pics\nHat: Chrome Hearts\nJacket: Zara\nShirt: Basketcase Gallery\nPants: Zara\nShoes: Dr.Marten",
    "post_count": 2,
    "post_date": "2026-03-16T07:29:42.000Z",
    "post_author": "aydwayn",
    "post_flair": [
      "No Advice Wanted 🚫"
    ],
    "upvote_ratio": 0.74
  }
}

Field Reference

Core Fields

Field	Type	Required	Description
`signal_id`	string (UUID)	✓	Unique identifier for this signal
`batch_id`	string \| null		Batch identifier for the processing run (null if not batched)
`signal_type`	string	✓	Always `"reddit-mentions"`
`signal_subtype`	string	✓	Specific signal subtype (see subtypes table above)
`signal_name`	string	✓	Human-readable signal label (e.g. `"Reddit Mention"`)
`signal_category`	string	✓	High-level category derived from subtype (see subtypes table)
`detected_at`	string (ISO 8601)	✓	When this signal was detected
`association`	string	✓	Entity association type — always `"company"`

Company Object

Field	Type	Required	Description
`company.name`	string	✓	Company being discussed
`company.domain`	string	✓	Company domain
`company.description`	string		Company description
`company.industries`	array[string]		Industry classifications
`company.linkedin_url`	string (URL)		Company LinkedIn URL
`company.employee_count_low`	integer		Lower bound of employee count range
`company.employee_count_high`	integer		Upper bound of employee count range

Data Object

Field	Type	Required	Description
`data.summary`	string	✓	AI-generated summary of discussions
`data.sentiment`	string		Overall sentiment (`positive`, `negative`, `mixed`, `neutral`)
`data.confidence_score`	float		Confidence in signal accuracy (0.0–1.0)
`data.salience_score`	float		How relevant/actionable the signal is (0.0–1.0)
`data.recency_score`	float		How recent the discussions are (0.0–1.0)
`data.moderation_score`	float		Content safety score — lower is safer for professional use (0.0–1.0)
`data.urgency`	string		Signal urgency level (`critical`, `high`, `medium`, `low`)
`data.buying_stage`	string		Buyer journey stage (`unaware`, `problemAware`, `solutionAware`, `evaluating`, `deciding`, `decided`, `implementing`, `churnRisk`)
`data.objection_type`	string \| null		Type of objection raised (`price`, `features`, `support`, `security`, `integration`, `performance`, `complexity`, `availability`)
`data.audience_type`	array[string]		Target audience types (`endUser`, `smallBusinessOwner`, `enterprise`, etc.)
`data.evidence`	array[string]		Key quotes or URLs from discussions
`data.source_urls`	array[string]		Links to source Reddit threads
`data.competitors_mentioned`	array[string]		Competitors mentioned in discussion
`data.topics_tags`	array[string]		Keyword tags extracted from the discussion
`data.topics`	array[string]		Higher-level topic summaries
`data.subreddits`	array[string]		Subreddits where the discussion occurred
`data.total_upvotes`	integer		Total upvotes across source posts
`data.total_comments`	integer		Total comments across source posts
`data.post_count`	integer		Number of posts analyzed for this signal
`data.post_text`	string	✓	Full text of the source Reddit post. For multi-post signals, contains the primary post body
`data.post_date`	string (ISO 8601)		Date of the primary source post
`data.post_author`	string		Reddit username of the post author
`data.post_flair`	array[string]		Reddit post flair/tags
`data.upvote_ratio`	float		Upvote ratio of the primary post (0.0–1.0)

Coverage

Refresh: Monthly
Coverage: 2,000,000 companies

Next: Data Activation Guide — Playbooks for turning Reddit signals into sales opportunities, competitive intelligence, and churn alerts.