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 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": "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
| 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 | string | Target audience type (see allowed values above) | |
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 | string | Reddit post flair/tag | |
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)
Updated about 8 hours ago
