Telegram Analytics
Growth should be guided by behavior data, not intuition. The analytics panel follows the operating path instead of showing vanity charts.
Time ranges
- 7 days: recent movement
- 30 days: monthly review
- 90 days: quarterly trend
- All time: full history since connection
Core metrics
- Period active users: users who sent messages in the selected range
- Activity rate: active users / total members
- New members: users who joined in the selected range
- Churn: users who left in the selected range
- Verification rate: share of new users who passed verification
- Incentive conversion: behavior produced by tasks, raffles, and the shop
Growth trends
Trend charts focus on four signals:
- Message volume: community heat
- Active users: real participation
- New members: acquisition effect
- Point changes: whether incentives are working
Growth funnel
txt
Total members → Period active → Point users → Task completions → Raffle entries → Shop redemptionsWhen the funnel is blocked at one layer, operations should adjust that layer.
Module analytics
Points system
Points issued, points spent, point sources, and user rankings.
Task system
Task completions, pending reviews, and task type distribution.
Raffle system
Raffle entries, points spent, winners, and risk reviews.
Shop system
Redemptions, points spent, and pending fulfillment orders.
Risk control and tickets
Anti-spam hits, review queue, and pending tickets.
Operating judgment
- If acquisition is weak, check entry points, invites, and verification drop-off
- If activity is weak, check whether tasks are too heavy or rewards lack expectation
- If points are not spent, launch raffles or a shop; otherwise points are just numbers
- If tickets pile up, user issues are not being handled fast enough and community sentiment can deteriorate