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 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 |
Signal Categories
Signals are organized into these categories:
| Category | Description |
|---|---|
feedback | |
intent | |
risk | |
competitive | |
market |
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
| 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)
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:
If company.domain is... | Use Case | Action |
|---|---|---|
| Your company | Brand Monitoring | Route to CS (if negative) or Marketing (if positive) |
| A competitor | Competitive Intelligence | Surface to Sales as displacement opportunity |
| A prospect | Sales Signal | Route to SDR/AE for outreach |
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_mentionedcontains 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:
| Raw Reddit Post | data.summary |
|---|---|
| "We're dumping VMware after Broadcom jacked our prices 300%. Looking at Proxmox and Hyper-V..." | "A large enterprise customer is actively churning from VMware due to significant price increases following the Broadcom acquisition, and is evaluating Proxmox and Hyper-V as alternatives." |
This summary can be displayed in Salesforce activities, Slack alerts, or personalized outreach without linking to the source.
Best Practices
- Filter on
confidence_score >= 0.8to reduce noise - Use
urgency = "high"or"critical"for immediate action items - Match
data.subredditsto your ICP's communities (sysadmin, devops, saas, msp, homelab, etc.) - Use
buying_stageto prioritize active buyers (evaluating,deciding)
Updated 2 days ago
