How to create a channel statistics report
Telegram provides built-in analytics for channels with 50+ subscribers, but creating a comprehensive statistics report requires combining native data with third-party tools. You can export and compile channel metrics — including subscriber growth, post reach, engagement rates, and audience demographics — into a structured report using a combination of Telegram's native statistics, analytics bots, and external platforms.
Understanding Telegram Channel Statistics
Telegram offers a built-in statistics dashboard for channels that have reached the 50-subscriber threshold. This native analytics panel provides essential metrics that form the foundation of any channel statistics report.
What Native Statistics Include
- Followers — total subscriber count and growth/decline over time
- Notifications — percentage of subscribers who have notifications enabled
- Views per post — average reach of individual publications
- Shares — how often posts are forwarded to other chats and channels
- Interactions — reactions, comments, and other engagement actions
- Language breakdown — primary languages spoken by your audience
- Join/leave sources — where new subscribers come from and why they leave
To access these stats, open your channel, tap the channel name at the top, and select Statistics. You can adjust the time period to view data for the last 7 days, 30 days, or longer.
Step-by-Step Guide to Creating a Statistics Report
Step 1: Define Your Reporting Period and Goals
Before collecting data, decide what the report should cover. Common reporting periods include weekly, monthly, and quarterly. Define your key performance indicators (KPIs):
- Growth rate — net subscriber change as a percentage
- Average post reach — views divided by total subscribers
- Engagement rate — (reactions + comments + shares) / views × 100
- Best-performing content — top posts by views or engagement
Step 2: Collect Data from Telegram's Built-in Statistics
Open your channel's Statistics panel and record the following:
- Subscriber count at the beginning and end of the period
- Growth graph — screenshot or note the trend line
- Average views per post for the selected period
- Top posts — identify your 3-5 best-performing publications
- Shares and forwards — total numbers and per-post averages
- Audience language and source data — where subscribers discovered your channel
For each metric, note both the raw number and the percentage change compared to the previous period. This provides context and shows whether your channel is trending positively.
Step 3: Use Analytics Bots for Deeper Data
Several Telegram bots provide extended analytics beyond what native statistics offer:
- @TGStat_Bot — one of the most popular analytics tools, offering detailed channel metrics, audience overlap analysis, and historical data. Connect your channel and request a report directly in the chat.
- @LivegramBot or @ControllerBot — provide engagement tracking and post scheduling analytics
- @TelemetrBot — tracks channel mentions and cross-posting activity
To use TGStat, for example, send /channel @yourchannel to the bot, and it will return a summary including subscriber growth, average post views, citation index (CI), and engagement metrics.
Step 4: Export and Organize Data with External Tools
For a professional-looking report, export your collected data into a spreadsheet or presentation tool:
- Google Sheets / Excel — create a dashboard with charts for subscriber growth, reach trends, and engagement rates. Use formulas to calculate period-over-period changes.
- Google Data Studio / Looker — build an automated visual dashboard if you need recurring reports.
- Canva or PowerPoint — for client-facing or team presentations with polished visuals.
Structure your spreadsheet with columns for: Date, Subscribers, Posts Published, Total Views, Avg Views/Post, Reactions, Shares, Engagement Rate.
Step 5: Analyze Content Performance
Break down your content by type and topic to understand what resonates with your audience:
- Text-only posts vs. media posts (photos, videos, polls)
- Short posts (under 200 characters) vs. long-form content
- Morning posts vs. evening posts — identify optimal publishing times
- Topic categories — which subjects generate the most engagement
For a channel like @TechNewsDaily with 15,000 subscribers, you might discover that video posts at 9:00 AM get 40% more views than text posts at 6:00 PM. These insights are the most valuable part of any report.
Step 6: Compile the Final Report
A well-structured statistics report should include these sections:
- Executive Summary — 2-3 key takeaways (e.g., "Subscriber growth increased 12% month-over-month")
- Subscriber Metrics — growth chart, net change, churn rate
- Content Performance — total posts, average views, top-performing content
- Engagement Analysis — reactions, shares, comments, engagement rate trend
- Audience Insights — demographics, language, join sources
- Recommendations — actionable next steps based on the data
- Comparison — benchmarks against previous period or competitor channels
Using Third-Party Platforms for Automated Reports
Several web-based platforms can generate channel reports automatically:
- TGStat.com — offers free basic reports and paid detailed analytics with exportable data. Tracks historical metrics and provides a citation index score.
- Telemetr.io — provides audience quality analysis, detects bot subscribers, and tracks advertising effectiveness.
- Popsters — cross-platform analytics tool that supports Telegram and generates downloadable PDF reports.
If your channel has a web presence through a platform like tgchannel.space, you can also track web traffic metrics alongside Telegram statistics, giving you a more complete picture of your content's reach across both Telegram and search engines.
Tips & Best Practices
- Report consistently — choose a fixed schedule (weekly or monthly) and stick to it. Inconsistent reporting makes trend analysis unreliable.
- Track relative metrics, not just absolutes — a channel with 5,000 subscribers and 60% reach is outperforming one with 50,000 subscribers and 8% reach. Always calculate engagement rate and reach percentage.
- Benchmark against similar channels — use TGStat's category rankings to see how your metrics compare to channels of similar size and niche. A 20% engagement rate might be average for a 2,000-subscriber niche channel but exceptional for a 100,000-subscriber news channel.
- Include visual charts — raw numbers are hard to interpret at a glance. Line charts for growth, bar charts for post performance, and pie charts for audience demographics make reports far more readable.
- Note external factors — if a viral post caused a subscriber spike or a holiday period caused lower engagement, annotate your charts. Context prevents misinterpretation.
- Archive your reports — maintain a folder of past reports so you can review long-term trends and present quarter-over-quarter or year-over-year comparisons.
Common Mistakes
Mistake 1: Focusing only on subscriber count
Why it's wrong: Subscriber count alone says nothing about channel health. A channel gaining 1,000 subscribers but losing 900 has a serious retention problem that raw growth numbers hide.
How to avoid: Always track net growth (joins minus leaves) and monitor your subscriber retention rate alongside total count.
Mistake 2: Ignoring the "when" of posting
Why it's wrong: Publishing time dramatically affects initial reach, which in turn impacts how Telegram's algorithm distributes your content.
How to avoid: Include a posting-time analysis in your report. Track views per post grouped by publication hour and day of week.
Mistake 3: Comparing raw numbers across channels of different sizes
Why it's wrong: A post with 5,000 views on a 10,000-subscriber channel (50% reach) is performing far better than 5,000 views on a 100,000-subscriber channel (5% reach).
How to avoid: Always normalize metrics as percentages — reach rate, engagement rate, and share rate — when benchmarking.
Mistake 4: Not accounting for bot or inactive subscribers
Why it's wrong: Many channels accumulate inactive or bot accounts, especially after promotions. This inflates your subscriber count while deflating your engagement and reach percentages.
How to avoid: Use tools like Telemetr.io to estimate audience quality. Track the ratio of views to subscribers — a consistent decline may indicate growing inactive audience.
Mistake 5: Creating one-time reports instead of building a system
Why it's wrong: A single snapshot provides limited value. The real power of analytics comes from tracking trends over time.
How to avoid: Set up a reusable template in Google Sheets or Notion. Automate data collection where possible using bot integrations or API connections.
Frequently Asked Questions
Can I export Telegram channel statistics as a file?
Telegram's native statistics panel does not offer a direct export feature. You need to manually record the data or use third-party services like TGStat or Popsters that provide downloadable CSV or PDF reports.
How often should I generate a channel statistics report?
For actively growing channels, weekly snapshots with a detailed monthly report work well. For established channels with stable growth, monthly reports with quarterly deep-dive analyses are sufficient.
What is a good engagement rate for a Telegram channel?
Engagement rates vary by niche and channel size. Generally, 2-5% is average for large channels (50,000+ subscribers), while smaller niche channels often see 10-30%. A rate above 50% is excellent and typically seen only in small, highly targeted communities.
Can I track which specific subscribers are most active?
Telegram does not provide individual subscriber activity data due to privacy policies. You can only see aggregate metrics. However, if your channel has a linked discussion group, you can identify active commenters through the group chat.
Do deleted messages affect statistics?
Yes, if you delete a post, its view and engagement data are removed from your statistics. If you need to track performance of all content including removed posts, record metrics before deletion or use a third-party tracker that archives data independently.