Use this dashboard to monitor acquisition, retention, concurrency load, visitor traffic, and cross-feature adoption so you can prioritize growth levers and capacity planning.
Acquisition
Track new user inflow
Retention
Monitor returning vs inactive
Concurrency
Peak load insights
Feature Adoption
Cross‑usage patterns
Consumption
Usage for each module
Churn Risk
Identify inactivity early
Visitor Conversion
Track visitor traffic and fair-use reclassification
KPI Overview (Main View)
- New Users
- Returning Users
- Inactive Users
- Concurrent Connections
- Feature Usage
- Signed-in MAUs
- Visitor MAUs
Users created in selected period. % delta compares to prior equivalent period. Sudden spikes: evaluate campaign attribution; drops: audit funnel.
Interpreting Feature Overlap
Why It Matters
Why It Matters
Users engaging in multiple modalities (e.g., Chat + Video) typically have higher lifetime value.
Optimization
Optimization
If one feature shows low overlap, embed contextual entry points or cross-prompts.
Understanding Visitor Traffic & Fair-Use Classification
Visitors are anonymous, unauthenticated users browsing your community without signing in. To keep platform costs aligned with actual resource usage, visitor activity is tracked and classified into the following buckets:Visitor MAU
Visitor MAU
An anonymous visitor (identified by device ID) who stays within the monthly fair-use threshold. Billed at the standard, lower visitor rate.
Overused Visitor MAU
Overused Visitor MAU
A visitor who exceeds the monthly fair-use threshold of API requests. Once reclassified, they’re removed from the Visitor MAU count and added to the Signed-in MAU count for billing — they’re never counted in both buckets at once.
Daily sign-in nudge
Daily sign-in nudge
When a visitor reaches the daily request limit, they’re shown a sign-in prompt encouraging them to register. This nudge persists until the daily limit resets, gently converting frequent visitors into registered members.
Overused Visitor MAU figures refresh daily. Because reclassification moves a visitor out of the Visitor MAU bucket entirely, your Visitor MAU and Overused Visitor MAU counts always reconcile without double-counting.
Historical Trends
Monthly Table
Review active, churned (inactive), resource consumption (video minutes, storage), and the Visitor MAU / Overused Visitor MAU columns for billing reconciliation.
Core Metrics Definitions
| Metric | Definition | Use Case | Watch For |
|---|---|---|---|
| New Users | Accounts created in period | Acquisition tracking | Spikes without retention lift |
| Returning Users | Previously active & active again | Stickiness / engagement | Declining ratio vs total active |
| Inactive Users | Previously active; no activity now | Churn monitoring | Uptrend across consecutive periods |
| Concurrent Connections (Peak) | Max simultaneous connections | Capacity planning | Peak nearing infra limit |
| MAU MTD | Unique users active month-to-date | Month pacing | Flattening mid-month slope |
| Visitor MAU | Anonymous, unauthenticated users (by device ID) within the monthly fair-use threshold | Public traffic & SEO reach | Large gap vs. signed-in growth |
| Overused Visitor MAU | Visitors who exceeded the monthly fair-use threshold and are billed at the signed-in rate | Cost & conversion monitoring | Rising share of total visitor traffic |
| Feature Overlap % | Users using multiple core features | Adoption depth | Low overlap vs benchmarks |
| Video Watch Minutes (FHD/HD/SD) | Minutes consumed by quality tier | Bandwidth & cost mgmt | Disproportionate FHD spike |
| File Storage | Total storage consumed | Cost forecasting | Sudden growth (unoptimized media) |
Leading Indicators & Actions
- Early Churn
- Capacity Risk
- Adoption Gap
- Storage Surge
- Quality Shift
- Overused Visitor Growth
Inactive users rising week over week. Action: trigger lifecycle emails, in-app nudges.
Dashboards Operating Cadence
Daily
Daily
Check new vs returning, concurrency anomalies, and Overused Visitor MAU movement (this figure refreshes daily).
Weekly
Weekly
Trend inactive, overlap %, video quality distribution.
Monthly
Monthly
Cohort retention, capacity headroom, cost drivers.
Quarterly
Quarterly
Benchmark adoption vs product roadmap targets.
Troubleshooting
| Symptom | Possible Cause | Resolution |
|---|---|---|
| New Users spike; returning flat | Low first-week activation | Improve onboarding sequence & feature discovery |
| Concurrency plateau while new users grow | Session clustering / timezone pattern | Rebalance infra schedule; analyze session length |
| Inactive surge after release | Regression or UX friction | Review release telemetry & session error logs |
| Video minutes drop, storage rising | Incomplete uploads accumulating | Implement cleanup of failed uploads |
| FHD minutes sudden spike | Default quality forced high | Re-enable adaptive bitrate / CDN config check |
Related
Raw Data Export
Granular export tooling
User History
Behavioral deep dive
Need additional custom metrics? Contact support to discuss extended analytics or data export options.