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 | Product feedback, reviews, pain points, support issues |
intent | Buying signals and active evaluation discussions |
risk | Churn indicators, security concerns, negative sentiment |
competitive | Competitor comparisons and mentions |
market | Industry 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
| 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.
Updated less than a minute ago
