Reddit Mentions

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

Reddit discussions and mentions about companies - authentic, unfiltered discussions revealing real user sentiment, competitive dynamics, and emerging pain points.

Why This Signal Matters

  • Authentic sentiment - Reddit discussions reflect real user experiences, not marketing spin
  • Competitive intelligence - See how prospects are compared to competitors in the wild
  • Emerging issues - Catch product problems before they hit mainstream press
  • Category trends - Spot rising interest in your solution category

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
feedback
intent
risk
competitive
market

Schema

{
  "signal_id": "1d19cfb3-7ae18749",
  "signal_type": "reddit-mentions",
  "signal_subtype": "positiveReview",
  "detected_at": "2026-01-02T20:17:28Z",
  "association": "company",
  "company": {
    "name": "Hassop Station Limited",
    "domain": "hassopstation.co.uk",
    "linkedin_url": "linkedin.com/company/hassop-station-limited",
    "industries": [
      "Restaurants"
    ],
    "employee_count_low": 1,
    "employee_count_high": 10
  },
  "data": {
    "summary": "A customer reported an excellent experience renting a wheelchair-accessible bike, calling it the 'highlight' of their family trip. This validates the quality and impact of the company's accessibility offerings on the Monsal Trail.",
    "sentiment": "positive",
    "salience_score": 0.9,
    "confidence_score": 1.0,
    "recency_score": 0.85,
    "urgency": "low",
    "buying_stage": "decided",
    "audience_type": "endUser",
    "total_upvotes": 5,
    "total_comments": 18,
    "post_count": 1,
    "evidence": [
      "The highlight was renting the wheelchair bike at Hassop Station",
      "and cycling to Millers Dale and back on the Monsal Trail.",
      "We all loved it."
    ],
    "source_urls": [
      "https://www.reddit.com/r/peakdistrict/comments/1m4k3jc/tips_for_child_wheelchair_user_days_out_in_peak/"
    ],
    "topics": [
      "accessibility",
      "customer experience",
      "bike hire",
      "positive review",
      "family travel"
    ],
    "subreddits": [
      "peakdistrict"
    ],
    "post_date": "2025-07-20T08:46:39Z",
    "post_author": "Playful-Cranberry-59",
    "upvote_ratio": 0.86,
    "moderation_score": 1.0
  }
}

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_typestringTarget audience type (see allowed values above)
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_flairstringReddit post flair/tag
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)