Reddit Mentions

Monitor Reddit discussions to surface emerging product pain points, competitive comparisons, and category trends affecting your prospects.

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 EnumCategoryDescription
buyingIntentintentActive discussions about evaluating or purchasing solutions
churnRiskriskUsers expressing dissatisfaction or intent to switch providers
competitorMentioncompetitiveActive threads comparing the company to competitors
implementationHelpfeedbackUsers seeking guidance on setup or integration
industryTrendmarketEmerging category or market trends being discussed
integrationNeedfeedbackUsers discussing integration requirements or challenges
negativeReviewfeedbackUsers criticizing or warning against the product
painPointfeedbackUsers discussing problems or frustrations with a product
positiveReviewfeedbackUsers praising or recommending the product
pricingConcernfeedbackDiscussions about pricing issues, value, or cost complaints
productFeedbackfeedbackFeature requests, bugs, or improvement suggestions
securityConcernriskDiscussions about security, privacy, or data concerns
supportIssuefeedbackCustomer support quality or responsiveness problems
useCasefeedbackUsers sharing how they use the product or seeking advice

Signal Categories

Signals are organized into these categories:

CategoryDescription
feedbackProduct feedback, reviews, pain points, support issues
intentBuying signals and active evaluation discussions
riskChurn indicators, security concerns, negative sentiment
competitiveCompetitor comparisons and mentions
marketIndustry trends and market discussions

Schema

{
  "signal_id": "eb351b84-07e13ed4",
  "signal_type": "reddit-mentions",
  "signal_subtype": "securityConcern",
  "detected_at": "2026-01-22T12:04:02.931459+00:00",
  "association": "company",
  "company": {
    "name": "Texas Benefit",
    "domain": "texasbenefit.com",
    "linkedin_url": null,
    "industries": [
      "Government Services"
    ]
  },
  "data": {
    "summary": "A Texas-based user reported their entire SNAP benefit deposit was stolen instantly, indicating a potential security vulnerability with the state's benefits distribution system.",
    "sentiment": "negative",
    "salience_score": 1,
    "confidence_score": 0.9,
    "recency_score": 0.95,
    "urgency": "critical",
    "buying_stage": "problemAware",
    "objection_type": "security",
    "audience_type": [
      "endUser"
    ],
    "total_upvotes": 434,
    "total_comments": 304,
    "post_count": 1,
    "evidence": [
      "Someone had stolen my entire deposit.",
      "It was basically instantly stolen out of my deposit.",
      "It didn't even show that I had gotten a deposit at all.",
      "Something is very fishy with this situation."
    ],
    "source_urls": [
      "https://www.reddit.com/r/foodstamps/comments/1pz7d9q/stolen_stamps_as_soon_as_it_was_deposited/"
    ],
    "competitors_mentioned": [],
    "topics": [
      "security",
      "fraud",
      "snapBenefits",
      "paymentIssue"
    ],
    "subreddits": [
      "foodstamps"
    ],
    "post_date": "2025-12-30T03:36:29+00:00",
    "upvote_ratio": 0.95
  }
}

Field Reference

Core Fields

FieldTypeRequiredDescription
signal_idstring (UUID)Unique identifier for this signal
signal_typestringAlways "reddit-mentions"
signal_subtypestringSpecific signal subtype (see allowed values above)
detected_atstring (ISO 8601)When the signal was detected
associationstringEntity association type - always "company"

Company Object

FieldTypeRequiredDescription
company.namestringCompany being discussed
company.domainstringCompany domain
company.linkedin_urlstring (URL)Company LinkedIn URL
company.industriesarray[string]Industry classifications
company.employee_count_lowintegerLower bound of employee count
company.employee_count_highintegerUpper bound of employee count
company.descriptionstringCompany description

Data Object

FieldTypeRequiredDescription
data.salience_scorefloatHow relevant/actionable the signal is (0.0-1.0)
data.confidence_scorefloatConfidence in signal accuracy (0.0-1.0)
data.recency_scorefloatHow recent the discussions are (0.0-1.0)
data.moderation_scorefloatContent safety score - higher is safer for professional use (0.0-1.0)
data.summarystringAI-generated summary of discussions
data.sentimentstringOverall sentiment (positive, negative, mixed, neutral)
data.urgencystringSignal urgency level (critical, high, medium, low)
data.buying_stagestringBuyer journey stage (unaware, problemAware, solutionAware, evaluating, deciding, decided, implementing, churnRisk)
data.objection_typestringType of objection raised (price, features, support, security, integration, performance, complexity, availability)
data.audience_typearray[string]Target audience types (endUser, smallBusinessOwner, enterprise, etc.)
data.total_upvotesintegerTotal upvotes across posts
data.total_commentsintegerTotal comments across posts
data.post_countintegerNumber of posts analyzed
data.upvote_ratiofloatUpvote ratio
data.post_datestring (ISO 8601)Date of the post
data.post_authorstringReddit username of post author
data.post_flairarray[string]Reddit post flair/tags
data.evidencearray[string]Key quotes from discussions
data.source_urlsarray[string]Links to source threads
data.subredditsarray[string]Relevant subreddits
data.topicsarray[string]Topic tags
data.competitors_mentionedarray[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.