Analytics & Insights
Telegram Scheduled Message Analytics Dashboard

Scheduled Message Reporting

Transform your Telegram automation strategy with comprehensive analytics, delivery insights, and performance optimization. Track every message, measure engagement, and maximize your campaign effectiveness with data-driven decisions.

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Key Performance Metrics

Delivery Rate

98.5%

+2.3%

Messages successfully delivered

Open Rate

87.2%

+5.1%

Messages opened by recipients

Engagement

34.8%

+8.7%

Users who interacted with messages

Avg Response

12m

-3.2%

Average response time

Essential Metrics to Track

Core Delivery Metrics

📨 Message Performance

  • • Total messages sent
  • • Successful deliveries
  • • Failed deliveries
  • • Bounce rate percentage
  • • Queue processing time

👥 User Engagement

  • • Message open rates
  • • Click-through rates
  • • Response rates
  • • Forward/share counts
  • • User retention metrics

Timing Analytics

  • • Peak engagement hours
  • • Day-of-week patterns
  • • Time zone optimization
  • • Seasonal trends
  • • Response time distribution

Content Performance

  • • Message length impact
  • • Media vs text performance
  • • Emoji usage effectiveness
  • • Link click rates
  • • Call-to-action success

Error Tracking

  • • API error rates
  • • Rate limit incidents
  • • Bot blocking events
  • • Network failures
  • • Recovery success rates

Reporting Methods & Tools

Native Bot API Analytics

Easy

Use Telegram's built-in getUpdates and webhook data for basic reporting

  • Message delivery confirmations
  • User interaction tracking
  • Basic engagement metrics
  • Real-time webhook data
  • Free with any bot setup

Database-Driven Analytics

Medium

Store detailed metrics in databases like PostgreSQL or MongoDB for advanced analysis

  • Custom metric definitions
  • Historical data retention
  • Complex query capabilities
  • Multi-dimensional analysis
  • Integration with BI tools

Third-Party Analytics Platforms

Advanced

Integrate with specialized analytics tools like Google Analytics, Mixpanel, or custom solutions

  • Advanced segmentation
  • Funnel analysis
  • A/B testing frameworks
  • Predictive analytics
  • Cross-platform attribution

Real-Time Monitoring Dashboards

Advanced

Build live dashboards with Grafana, Kibana, or custom solutions for instant insights

  • Live metric updates
  • Alert configurations
  • Performance monitoring
  • System health checks
  • Automated reporting

Dashboard Setup & Design

Essential Dashboard Components

📊 Core Widgets

Delivery Status Overview

Real-time delivery rates, queue status, and failure notifications

Engagement Heatmap

Visual representation of user interaction patterns over time

Performance Trends

Historical data trends and predictive analytics

⚡ Advanced Features

Custom Filters

Filter by date range, user segments, message types, and channels

Alert System

Automated alerts for delivery failures, unusual patterns, and thresholds

Export & Sharing

PDF reports, CSV exports, and shareable dashboard links

Automated Reporting

Daily/Weekly Report Pipelines

Cron + Aggregation Job

# crontab
0 8 * * * /usr/local/bin/node /apps/reporting/daily-summary.js

// daily-summary.js
import { writeFileSync } from 'fs';
import db from './db.js';
import { sendTelegram } from './telegram.js';

async function run() {
  const since = new Date(Date.now() - 24*60*60*1000);
  const metrics = await db.getDailyMetrics(since);

  const report = [
    '📊 *Daily Telegram Report*',
    '',
    `• Sent: ${metrics.sent}`,
    `• Delivered: ${metrics.delivered} (${pct(metrics.delivered, metrics.sent)}%)`,
    `• Opens: ${metrics.opens} (${pct(metrics.opens, metrics.delivered)}%)`,
    `• Clicks: ${metrics.clicks} (${pct(metrics.clicks, metrics.opens)}%)`,
    `• Errors: ${metrics.errors}`,
    '',
    `Top hour: ${metrics.topHour}:00`,
    `Top message: ${metrics.topMessageTitle}`,
  ].join('\n');

  await sendTelegram(process.env.REPORT_CHAT_ID, report, { parse_mode: 'Markdown' });
  writeFileSync('/var/reports/last-daily.json', JSON.stringify(metrics, null, 2));
}

function pct(a,b){ return b ? (100*a/b).toFixed(1) : '0.0'; }
run().catch(console.error);

Webhook → Stream → Dashboard

  • • Capture real-time delivery/interaction events via webhook
  • • Push events into a queue/stream (Kafka/Redpanda/RabbitMQ)
  • • Normalize in a worker and load to an OLAP store (ClickHouse/BigQuery)
  • • Build panels with a BI tool (Metabase/Superset) or Grafana
  • • Define SLA/threshold alert rules

Export & Sharing

CSV/Parquet Export

Export raw metrics for data science workflows.

Scheduled PDFs

Share weekly/monthly PDF reports by email.

Shareable Links

Send filtered, segment-specific dashboard links.

Performance Optimization

A/B Testing Framework

Compare message bodies, CTAs, and send times safely, then promote winners automatically.

// pseudo
const variant = bucket(user.id, ['A','B']);
const msg = variant === 'A' ? templateA : templateB;
send(msg);

logExperiment({
  userId: user.id,
  experiment: 'welcome_ab',
  variant,
  opened, clicked, converted
});

Timing Optimization

  • • Localize sends by user time zone
  • • Learn “best hour” from last interaction time
  • • Throttle & balance queues during peak hours
  • • Auto backoff on 429 responses

Cohort & Segment Analysis

Compare new/active/dormant/premium cohorts to uncover lift.

  • • Week-1 engagement curves
  • • CTR/CR differences by segment
  • • Performance by content type

Reliability & Error Budgets

  • • Define SLOs for delivery latency (p95/p99)
  • • Track DLQ volume and retry success
  • • Set weekly reduction targets for rate-limit incidents

FAQ & Troubleshooting

What metrics should I track for scheduled messages?▼

Essential metrics include delivery rate, open rate, click-through rate, response rate, bounce rate, and user engagement patterns. Also track timing performance and error rates.

How can I measure message effectiveness?▼

Use A/B testing, track user actions after messages, monitor conversion rates, and analyze response patterns. Compare performance across different time slots and content types.

Can I get real-time reporting for scheduled messages?▼

Yes, with webhook integration and proper logging systems. Set up dashboards that update in real-time with delivery status, user interactions, and system performance.

How do I track messages across different channels and groups?▼

Implement unique identifiers for each message and recipient combination. Use database logging to track messages across multiple chats, channels, and user segments.

What tools are best for Telegram message analytics?▼

Custom dashboards with Grafana/Kibana, Google Analytics integration, built-in bot analytics, or specialized platforms like Wapiuu that offer comprehensive Telegram reporting features.

Turn data into action

Measure, analyze, and optimize. Turn your scheduled Telegram messages into a data-driven machine.

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