Reddit Usage Tips

Reddit signals surface real conversations happening about companies — pricing complaints, churn risks, product frustrations, buying intent. This data is delivered as structured JSON in weekly flat files.

This guide walks through how to turn that raw signal data into features your end users will actually engage with. We'll cover two activation patterns that work well across sales intelligence, ABM, and prospecting use cases.

Who This Is For

This guide is for product and engineering teams building on top of signal data. If you're thinking "the flat files look useful, but how do I surface this to my users in a way that drives engagement?" — this is for you.

The patterns below work whether you're building:

• A signal feed or alert system
• Account prioritization / scoring
• Prospecting workflows
• Competitive intelligence dashboards

Activation Pattern 1: Surface Companies with Pricing Pain

The Use Case

Your end user sells a solution that helps companies with pricing, packaging, or monetization. They want to find companies whose customers are publicly frustrated about pricing — a strong signal that the company may be open to change.

How It Works

Filter Reddit signals for pricingConcern events with high urgency. This surfaces companies like Datadog, Vercel, Snowflake, and Clay — where real users are complaining about pricing on Reddit.

Filter logic:

• signal_subtype = 'pricingConcern'
• data.urgency = 'high'

What the Signal Looks Like

Each signal includes a company match, a summary of the conversation, and metadata your users can act on:

{
  "signal_type": "reddit-mention",
  "signal_subtype": "pricingConcern",
  "company": {
    "name": "Datadog",
    "domain": "datadoghq.com"
  },
  "data": {
    "summary": "DevOps teams getting surprise bills from Datadog's usage-based pricing. Log ingestion costs cited as unpredictable.",
    "excerpt": "Got a $47k bill because of a logging loop during an incident...",
    "urgency": "high",
    "stage": "at_risk",
    "competitors_mentioned": ["Grafana", "New Relic"],
    "topics": ["pricing", "observability"],
    "confidence_score": 0.91
  },
  "detected_at": "2026-01-19T14:22:00Z"
}

Key Fields for Your UI

What Your User Does With This

Your end user sees that Datadog customers are frustrated with pricing. They can reach out with context: "Saw some DevOps teams struggling with unpredictable observability costs — we help companies build pricing models that don't surprise customers."

The signal gives them the reason to reach out, not just a name on a list.

Activation Pattern 2: Alert When User's Company Is Mentioned

The Use Case

Your end user wants to know when their company (or product) comes up in a Reddit conversation — especially when someone is considering switching away from a competitor and mentions them as an alternative.

This is high-intent: someone is already in-market and your user's product is part of the consideration set.

How It Works

Filter for churnRisk signals where your_company_mentioned = true. This surfaces conversations where:

1. Someone is frustrated with a competitor (Salesforce, HubSpot, etc.)
2. Your user's company was mentioned as an alternative

Filter logic:

• signal_subtype = 'churnRisk'
• data.urgency = 'high'
• data.your_company_mentioned = true

What the Signal Looks Like

{
  "signal_type": "reddit-mention",
  "signal_subtype": "churnRisk",
  "company": {
    "name": "Salesforce",
    "domain": "salesforce.com"
  },
  "data": {
    "summary": "Mid-market companies frustrated with Salesforce implementation costs. Simple CRM needs turning into 6-month projects.",
    "excerpt": "Asked for a quote for 25 sales reps. Salesforce wants $150k plus implementation...",
    "urgency": "high",
    "stage": "evaluating",
    "competitors_mentioned": ["HubSpot", "Pipedrive"],
    "your_company_mentioned": true,
    "topics": ["pricing", "implementation"],
    "confidence_score": 0.88
  },
  "detected_at": "2026-01-09T11:45:00Z"
}

Why This Signal Is Valuable

The your_company_mentioned flag changes the nature of outreach. Your end user isn't cold-calling — they're responding to a conversation where someone already brought them up. That's a fundamentally warmer touchpoint.

What Your User Does With This

Your end user sees they were mentioned in a discussion about Salesforce alternatives. They can engage with context: "Saw your team come up in a discussion about simpler CRM options — happy to answer any questions if you're evaluating."

Implementation Notes

Matching Signals to Accounts

Signals include company.domain which you can match against your user's CRM or account list:

Signal: company.domain = "datadoghq.com"
   ↓
Your system: Match to Account where website = "datadoghq.com"

This lets you enrich existing accounts with signal data, or surface net-new companies your users aren't tracking yet.

Building Filters

Common filter dimensions your users will want:

Suggested UX Patterns

1. Signal feed: Chronological list of signals matching user's filters
2. Account enrichment: Show signals on account detail pages
3. Alerts: Notify users when high-urgency signals match their criteria
4. Prioritization score: Weight accounts higher when they have recent, high-confidence signals

Broader Coverage Patterns

The examples above use somewhat narrow filters (e.g., churnRisk + your_company_mentioned) which surface high-intent but low-volume signals.

For broader coverage, consider these tactics:

By Signal Type

By Field Combinations

Topic-based targeting — Use data.topics to filter by category rather than signal type. Our topics are not normalized, though that's on our roadmap.

Ideas include...

• topics contains 'pricing' — Any pricing-related discussion
• topics contains 'security' — Security concerns across signal types
• topics contains 'migration' — Companies considering platform changes

Competitor-based targeting — Use data.competitors_mentioned to find discussions involving specific vendors:

• Surface all signals where a target competitor is mentioned, regardless of signal type
• Useful for building competitive intelligence dashboards

Subreddit-based targeting — Use data.subreddits to focus on communities relevant to your user's ICP:

• r/devops, r/sysadmin for infrastructure
• r/sales, r/b2bmarketing for GTM tools
• r/startups, r/entrepreneur for SMB-focused products

We're constantly looking to make our Reddit data more actionable! Have any feedback or questinos? Shoot us an email at [email protected].