AI Practice Knowledge BaseAI Self-Growth System
Social Listening System
PremiumRight now your customers are complaining on Reddit - can you hear them?
Social Listening System: Give Your System Radar
"The best marketing is not shouting at the crowd, but handing water to someone who says 'I'm thirsty'."
What you will get in this chapter
- A minimum viable listening system (MVS)
- Listening SOP (collect -> score -> engage)
- Key metrics and a signal scoring model
One-sentence definition
Social listening = continuously capture user pain signals and quickly turn them into action.
SEO is passive waiting; listening is proactive.
Minimum viable listening system (MVS)
| Step | You need | Acceptance result |
|---|---|---|
| Channels | 2-3 platforms | New signals daily |
| Keyword list | 20-50 pain keywords | Covers main scenarios |
| Alerts | Discord/Telegram | Alert within 1 hour |
| Handling | Manual review + logging | Executable tasks |
Qualified signal: >= 5 valid signals daily, processed within 24 hours.
Listening SOP (standard process)
- Define domain: one sentence on what you solve
- Build keyword list: pain + competitor + scenario terms
- Collect signals: API/RSS/search scripts
- Score and grade: handle high-value first
- Engage: answer, comment, repurpose, create tasks
- Archive and review: push signals into content/product backlog
Keyword list structure (recommended)
- Pain terms: too expensive / hard to use / slow / error
- Competitor terms: alternative to X / replace X / X sucks
- Scenario terms: for designers / for marketers / for students
Pain term + Competitor term + Scenario term
=> "Notion alternative for students"Signal scoring model (must have)
Scoring dimensions
- Intent: are they looking for a solution?
- Pain: how strong is the pain?
- Urgency: do they need it now?
- Reach: post heat and exposure
- Fit: relevance to your product
Scoring formula (0-100)
Score = 25*Intent + 20*Pain + 15*Urgency + 20*Fit + 20*ReachGrading rules
- P0 (grab now): Score >= 75
- P1 (follow up): 60-74
- P2 (log only): < 60
Core metrics (must track)
Definition (default):
- Time window: unless stated otherwise, use the last 7 days rolling.
- Data source: use one trusted source (GA4/GSC/platform console/logs) and keep it consistent.
- Scope: only the current product/channel, exclude self-tests and bots.
| Metric | Meaning | Pass line |
|---|---|---|
| Signal validity | High-score signals / total | >= 20% |
| Response SLA | P0 signal response time | <= 4 hours |
| Conversion rate | Clicks / replies | >= 2% |
| False positive rate | Invalid signals share | <= 60% |
Common mistakes
- Only monitor brand terms -> nobody mentions you
- No scoring -> signal flood you cannot handle
- Only chase heat -> high heat != high intent
- Only reply, no archive -> no asset built
Acceptance checklist
Prepared 20+ pain keywords (not brand terms)
Covers at least 2 platforms (Reddit/X/IndieHackers)
Alerts and SLA set (P0 <= 4 hours)
Summary
Key takeaways
1. Listening is not one-off search, but continuous signal capture.
2. Signals must be scored to scale.
3. The goal is to convert signals into executable actions and content assets.
Next chapter: Hot Topic Transformer - turn signals into distributable content.