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

Signal Categories

Signals are organized into these categories:

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

Company Object

Data Object

Coverage

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

Data Activation

The Three Relationships

Every Reddit signal creates a relationship between you and the company being discussed. The same signal serves different purposes depending on this relationship:

Example: A Reddit post says "We're dumping VMware for Proxmox after the Broadcom price hikes"

• If you're VMware → Churn alert, save the account
• If you're Proxmox → Competitive win opportunity
• If you're a VAR/MSP → Sales opportunity, offer migration services

Use Case Filters

Brand Monitoring - Churn Risk

Surface negative sentiment about your brand before customers churn:

company.domain IN [your_domains]
AND signal_subtype IN [churnRisk, supportIssue, pricingConcern, negativeReview]
AND confidence_score >= 0.8

Brand Monitoring - Advocacy

Find advocates discussing your brand positively for case studies or references:

company.domain IN [your_domains]
AND signal_subtype IN [buyingIntent, positiveReview, useCase]
AND sentiment IN [positive, neutral]

Competitive Intelligence

Track competitor weaknesses and find displacement opportunities:

data.competitors_mentioned CONTAINS [competitor_names]
OR company.domain IN [competitor_domains]
AND signal_subtype = competitorMention
AND confidence_score >= 0.8

Note: competitors_mentioned contains company names (e.g., "VMware", "Cisco"), not domains.

Topic/Market Intent

Find prospects discussing problems you solve:

signal_subtype IN [buyingIntent, painPoint, integrationNeed]
AND data.topics CONTAINS [your_keywords]
AND confidence_score >= 0.8

Using Summaries in Workflows

The data.summary field provides an LLM-generated insight that can be surfaced professionally without exposing raw Reddit content:

This summary can be displayed in Salesforce activities, Slack alerts, or personalized outreach without linking to the source.

Best Practices

• Filter on confidence_score >= 0.8 to reduce noise
• Use urgency = "high" or "critical" for immediate action items
• Match data.subreddits to your ICP's communities (sysadmin, devops, saas, msp, homelab, etc.)
• Use buying_stage to prioritize active buyers (evaluating, deciding)