Analytics Dashboard
Social Analytics
Monitor community & content health—engagement velocity, growth vs churn, reach, impressions, and top community performance.
Use this dashboard to understand how communities, posts, comments, and reactions are performing so you can amplify healthy spaces and intervene in declining ones.
Community Activity
Daily content & membership flow
Top Communities
High-performing spaces leaderboard
Growth vs Churn
Net member trajectory
Engagement Quality
Comments & reactions per post
Reach & Impressions
Content visibility efficiency
Content Velocity
New post creation momentum
Daily Operational Workflow
1
Set Filters
Choose date range, segment (e.g., product line or region), and optionally exclude internal/test communities.
2
Scan Activity Stack
Identify abrupt shifts in posts, comments, reactions, joins, or leaves vs prior days.
3
Review Net Growth
Check join vs leave differential—flag communities with negative multi-day streak.
4
Open Top Communities
Sort by engagement rate (not just raw posts) to find quality leaders.
5
Inspect Decliners
Communities with falling posts AND rising leave count—drill in for cause.
6
Check Reach vs Impressions
Validate distribution fairness—avoid over-saturation of a narrow audience.
7
Action & Log
Document interventions (feature, moderation, spotlight) and set a follow-up review date.
Modules & Interpretation
Community Activity Overview (Stacked Bars)
Shows aggregate daily counts for: Posts, Comments, Reactions, Members Joined, Members Left. Look for proportion shifts (e.g., comments dropping relative to posts may indicate lower discussion depth).Top Communities Table
Leaderboard with: Posts, Comments, Reactions, Members Joined, Members Left, Engagement Rate. Use relative KPI columns rather than just raw counts to avoid bias toward largest audience spaces.Reach & Impression Graph
Reach = unique users exposed. Impressions = total displays. High impressions with flat reach suggests repeated exposure to same users; rotate content spots to counter fatigue.Growth & Churn
Joined vs Left provides directional community health. Persistent churn outpacing joins → investigate content relevance, governance friction, or onboarding gaps.Content Velocity
Rate of new posts per active community. Helps detect stagnation or spam bursts. Sudden spike unaccompanied by reactions/comments may indicate low-quality or automated posting.Metrics & Formulas
| Metric | Definition | Formula (Illustrative) | Why It Matters | Action Trigger |
|---|---|---|---|---|
| Posts | New posts in period | count(posts) | Core creation volume | Drop >20% w/w |
| Comments | New comments in period | count(comments) | Depth of discussion | Comments/Post ratio < baseline |
| Reactions | Emoji/like style reactions | count(reactions) | Lightweight engagement breadth | Reactions/Post ratio dips |
| Members Joined | New joins to communities | count(join events) | Acquisition into spaces | Join decline consecutive 3 days |
| Members Left | Departures / leaves | count(leave events) | Churn pressure | Left rising >15% w/w |
| Net Community Growth | Growth after churn | Joined - Left | Community trajectory | Negative 3+ days |
| Engagement Rate | (Comments + Reactions)/Posts | (C + R) / P | Quality vs spam | Falls below target band |
| Comment Depth | Avg comments per post | C / P | Conversation richness | < baseline percentile |
| Reaction Saturation | Unique reactors / reach | distinct(reactors)/reach | Engagement distribution | Concentrated small reactor core |
| Reach | Unique users who saw content | distinct(viewers) | Distribution breadth | Stagnant vs user growth |
| Impressions | Total content renders | sum(views) | Frequency / exposure | High impressions, flat reach |
| Frequency Factor | Impressions / Reach | I / R | Repetition index | > target (content fatigue risk) |
| Content Velocity | Posts per active community | P / active_communities | Sustain momentum | Sharp rise (spam) or fall (stagnation) |
Growth & Engagement Lenses
Focus on joins trend vs campaigns
Benchmark Strategy
Baseline Collection
Baseline Collection
Record metrics across first stable 2–4 weeks to establish internal benchmarks.
Adaptive Thresholds
Adaptive Thresholds
Use rolling median + standard deviation for anomaly detection (e.g., trigger if metric < median -1.5σ).
Seasonality
Seasonality
Adjust comparisons for known weekly cycles (weekend dips, Monday surges).
Cohort Splits
Cohort Splits
Segment by community age buckets (<30d, 30–90d, >90d) to avoid maturity skew.
Quality Guardrail
Quality Guardrail
Require Engagement Rate above minimum before featuring a community.
Early Warning Signals
Posts rising while comments/post falling → encourage prompts/questions formatting.
Troubleshooting
| Symptom | Likely Cause | Investigation | Resolution |
|---|---|---|---|
| Engagement Rate drop | Low comment depth / passive reactions | Compare comments/post vs reactions/post | Add prompts; highlight discussion-oriented posts |
| Net growth negative | Churn event (policy change, incident) | Overlay join/leave with incident timeline | Publish transparency note; adjust policy UX |
| Reach flat; impressions high | Overexposure algorithm weighting | Review recommendation distribution logs | Tune ranking to broaden diversity |
| Velocity spike; low quality | Spam or bot posting | Sample post authors & content patterns | Tighten rate limits; enhance moderation rules |
| Reaction saturation low | Same small set reacting repeatedly | Unique reactors vs total reactions analysis | Encourage broader participation (badges, prompts) |
| Frequency factor high | Repeat impressions to same cohort | Examine impression distribution by user | Introduce capping / cooldown logic |
Related
Activity Analytics
User-level activity KPIs
AI Social Insights
Qualitative topic & sentiment
Raw Data Export
Deeper custom queries
Need custom derived metrics (e.g., weighted engagement index)? Contact support for data extensibility options.