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 14 subtypes (buying intent, churn risk, pain points, security concerns, etc.) and scored for relevance, confidence, and urgency.

Available Subtypes

Subtype Enum	Category	Description
`buyingIntent`	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`	feedback	Users seeking guidance on setup or integration
`industryTrend`	market	Emerging category or market trends being discussed
`integrationNeed`	feedback	Users discussing integration requirements or challenges
`negativeReview`	feedback	Users criticizing or warning against the product
`painPoint`	feedback	Users discussing problems or frustrations with a product
`positiveReview`	feedback	Users praising or recommending the product
`pricingConcern`	feedback	Discussions about pricing issues, value, or cost complaints
`productFeedback`	feedback	Feature requests, bugs, or improvement suggestions
`securityConcern`	risk	Discussions about security, privacy, or data concerns
`supportIssue`	feedback	Customer support quality or responsiveness problems
`useCase`	feedback	Users sharing how they use the product or seeking advice

Schema

{
  "signal_id": "a1f2c3d4-8b9e0f12",
  "signal_type": "reddit-mentions",
  "signal_subtype": "pricingConcern",
  "detected_at": "2026-01-22T14:32:18.421459+00:00",
  "association": "company",
  "company": {
    "name": "Clay",
    "domain": "clay.com",
    "linkedin_url": "linkedin.com/company/clay-com",
    "industries": [
      "Software Development"
    ]
  },
  "data": {
    "summary": "Clay's pricing is frequently cited as a major barrier across GTM communities, with users calling it 'expensive af' and actively seeking alternatives. Freelancers and small teams report the $134/month starter and $1700/year costs are unaffordable, driving them to evaluate competitors like n8n, Apollo, and Floqer.",
    "sentiment": "negative",
    "salience_score": 0.95,
    "confidence_score": 0.9,
    "recency_score": 0.85,
    "urgency": "high",
    "buying_stage": "evaluating",
    "objection_type": "price",
    "audience_type": [
      "smallBusinessOwner",
      "salesProfessional"
    ],
    "total_upvotes": 67,
    "total_comments": 287,
    "post_count": 8,
    "evidence": [
      "Clay's expensive as ffff. I'm too poor for it. Need something similar. Preferably no more than $250/month.",
      "Honestly, Clay's pricing is fucking ridiculous for freelancers.",
      "I use Clay for one month and realized it's most expensive for me - charges around $1700 for year.",
      "For a Solopreneur - $134 a month starter price is bit stiff. Are there any cheaper alternatives?"
    ],
    "source_urls": [
      "https://www.reddit.com/r/gtmengineering/comments/1npnp3u/claycom_alternative/",
      "https://www.reddit.com/r/coldemail/comments/1ncqamh/looking_for_claycom_alternative/",
      "https://www.reddit.com/r/b2bmarketing/comments/1ogcbdq/any_cheaper_alternative_to_claycom/"
    ],
    "competitors_mentioned": [
      "n8n",
      "Apollo",
      "Floqer",
      "PhantomBuster"
    ],
    "topics": [
      "pricing",
      "alternatives",
      "budgetConstraints",
      "costOptimization"
    ],
    "subreddits": [
      "gtmengineering",
      "coldemail",
      "b2bmarketing",
      "revops"
    ],
    "post_date": "2025-12-18T09:23:45+00:00",
    "upvote_ratio": 0.92
  }
}

Field Reference

Core Fields

Field	Type	Required	Description
`signal_id`	string (UUID)	✓	Unique identifier for this signal
`signal_type`	string	✓	Always "reddit-mentions"
`signal_subtype`	string	✓	Specific signal subtype (see allowed values above)
`detected_at`	string (ISO 8601)	✓	When the 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.linkedin_url`	string (URL)		Company LinkedIn 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	Required	Description
`data.salience_score`	float		How relevant/actionable the signal is (0.0-1.0)
`data.confidence_score`	float		Confidence in signal accuracy (0.0-1.0)
`data.recency_score`	float		How recent the discussions are (0.0-1.0)
`data.moderation_score`	float		Content safety score - higher is safer for professional use (0.0-1.0)
`data.summary`	string	✓	AI-generated summary of discussions
`data.sentiment`	string		Overall sentiment (`positive`, `negative`, `mixed`, `neutral`)
`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		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.total_upvotes`	integer		Total upvotes across posts
`data.total_comments`	integer		Total comments across posts
`data.post_count`	integer		Number of posts analyzed
`data.upvote_ratio`	float		Upvote ratio
`data.post_date`	string (ISO 8601)		Date of the post
`data.post_author`	string		Reddit username of post author
`data.post_flair`	array[string]		Reddit post flair/tags
`data.evidence`	array[string]		Key quotes from discussions
`data.source_urls`	array[string]		Links to source threads
`data.subreddits`	array[string]		Relevant subreddits
`data.topics`	array[string]		Topic tags
`data.competitors_mentioned`	array[string]		Competitors mentioned in discussion

Coverage

Refresh: Weekly
Coverage: 10-25% of companies (depends on Reddit presence and category)

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