How to export channel statistics

Exporting Telegram channel statistics allows you to analyze your channel's performance outside of the app, create reports, and track growth trends over time. While Telegram doesn't offer a one-click "Export Stats" button, there are several effective methods to get your data out — from manual recording to third-party analytics platforms and the Telegram Bot API.

Understanding Telegram's Built-in Statistics

Telegram provides native statistics for channels that have reached 50 subscribers or more. To access them, open your channel, tap the channel name, and select Statistics. Here you'll find key metrics:

  • Followers — total subscriber count and growth/decline graph
  • Views per post — average reach for recent publications
  • Shares & forwards — how often your content is redistributed
  • Notifications enabled — percentage of subscribers who haven't muted your channel
  • Interactions — reactions, comments (if enabled), and clicks
  • Growth sources — where new subscribers are coming from (other channels, private shares, public links)

These statistics are displayed as interactive charts covering the last 7 days, 30 days, or a custom date range. However, there is no built-in export button within the Telegram app itself. This means you'll need to use alternative approaches to get this data into a spreadsheet or reporting tool.

Method 1: Manual Export via Screenshots and Recording

The simplest approach — and the one requiring no third-party tools — is manual data collection.

Step 1: Open Channel Statistics

Navigate to your channel → tap the channel header → select Statistics.

Step 2: Set Your Date Range

Choose the time period you want to capture. Switch between 7 days and 30 days views, or select a custom range.

Step 3: Record the Data

Create a spreadsheet (Google Sheets, Excel, or similar) with columns for:
- Date
- Total subscribers
- Views (average per post)
- Shares
- Growth (new subscribers minus unsubscribes)

Step 4: Screenshot the Charts

Take screenshots of the visual charts for your records. These can be useful in presentations or reports where visual trends matter more than raw numbers.

Note: This method works for small channels or infrequent reporting. For channels publishing daily or managing multiple channels, automated solutions are far more practical.

Method 2: Using Telegram Bot API

For developers and technically inclined channel owners, the Telegram Bot API provides programmatic access to channel statistics through the getChatMemberCount method and related endpoints.

Step 1: Create a Bot via @BotFather

If you don't already have one, message @BotFather on Telegram, use the /newbot command, and save your bot token.

Step 2: Add the Bot as an Admin

Add your bot to the channel as an administrator. It needs at least basic admin rights to access channel data.

Step 3: Query Statistics Programmatically

Use API calls to retrieve data points:

  • getChatMemberCount — returns the current subscriber count
  • getChat — returns channel metadata
  • Individual message views can be tracked by storing message.views from forwarded channel posts

Step 4: Store and Export

Write a script (Python, Ruby, Node.js, or any language with HTTP support) that runs on a schedule (e.g., daily via cron), queries these endpoints, and appends the results to a CSV file or database.

This method gives you complete control over what data is collected and how it's stored. You can build custom dashboards, automate weekly reports, or feed the data into business intelligence tools.

Method 3: Third-Party Analytics Platforms

Several services specialize in Telegram channel analytics and offer built-in export functionality:

  • TGStat — one of the most popular Telegram analytics platforms. Tracks subscriber growth, post reach, engagement rate, and more. Offers CSV/Excel export on paid plans.
  • Telemetr — provides detailed audience analysis, post performance metrics, and competitive benchmarking. Export options available for premium users.
  • Popsters — a cross-platform analytics tool that supports Telegram among other social networks. Allows exporting post-level statistics to spreadsheets.
  • Combot — focused on group analytics but also provides channel insights with exportable reports.

Most of these platforms work by connecting to public channel data. You typically just enter your channel's @username, and the service begins tracking automatically. For private channels, you may need to grant API access or add a tracking bot.

Method 4: Telegram Desktop and Tdata Export

Telegram Desktop offers a data export feature under Settings → Advanced → Export Telegram Data. While this primarily exports messages, media, and contacts, it can be useful for:

  • Extracting all post content with timestamps
  • Cross-referencing post dates with externally tracked view counts
  • Archiving channel content alongside performance data

The export produces JSON or HTML files that can be parsed programmatically to extract posting patterns, content types, and publication frequency.

Creating Useful Reports from Exported Data

Once you have your statistics exported, here are the most valuable analyses to perform:

Growth Rate Analysis

Plot subscriber count over time. Calculate weekly and monthly growth rates. Identify spikes and correlate them with specific posts, cross-promotions, or external events.

Engagement Rate Tracking

Divide average views per post by total subscriber count. A healthy Telegram channel typically sees 30-60% engagement rate. If your rate drops below 20%, it may indicate that your content isn't resonating or that you've accumulated inactive subscribers.

Best-Performing Content

Sort posts by views, shares, or reactions. Identify patterns — do lists outperform long reads? Do posts with images get more engagement than text-only? Use these insights to refine your content strategy.

Posting Schedule Optimization

Analyze which days of the week and times of day generate the most views. Adjust your publishing schedule accordingly.

Tips & Best Practices

  • Track consistently: Whether you export manually or use automated tools, establish a regular schedule — weekly or monthly — for pulling statistics. Gaps in data make trend analysis unreliable.
  • Combine data sources: Use Telegram's native stats for high-level trends and third-party tools for granular post-level analytics. Cross-referencing multiple sources gives you the most complete picture.
  • Benchmark against yourself: Absolute numbers matter less than trends. A channel with 2,000 subscribers growing at 10% monthly is healthier than one with 50,000 subscribers losing 5% monthly.
  • Export post content alongside stats: Numbers without context are hard to interpret. When you export view counts, also note what the post was about. Services like tgchannel.space automatically publish your channel content to the web, making it easy to reference specific posts when reviewing performance data.
  • Automate where possible: If you're managing more than one channel, manual tracking becomes unsustainable quickly. Invest time in setting up API-based collection or a third-party platform.

Common Mistakes

Mistake 1: Checking stats too frequently without acting on them
Why it's wrong: Daily stat-checking without a plan leads to reactive, inconsistent content decisions based on short-term fluctuations.
How to avoid: Set a weekly review cadence. Make content adjustments based on 2-4 week trends, not individual post performance.

Mistake 2: Ignoring the "Notifications Enabled" metric
Why it's wrong: A channel with 10,000 subscribers but only 15% notifications enabled has an effective audience of roughly 1,500 for time-sensitive content.
How to avoid: Monitor this metric closely. If it's declining, you may be posting too frequently or your content quality is dropping.

Mistake 3: Not accounting for Telegram's delayed view counting
Why it's wrong: Telegram updates view counts gradually. Exporting stats immediately after posting gives you incomplete data.
How to avoid: Wait at least 24-48 hours after a post before recording its view count for your reports.

Mistake 4: Relying solely on subscriber count as a success metric
Why it's wrong: Subscriber count can be inflated by inactive accounts or bot followers. It tells you nothing about actual engagement.
How to avoid: Always pair subscriber count with engagement rate (views/subscribers) and interaction metrics (reactions, forwards, comments).

Frequently Asked Questions

Can I export statistics for a channel I don't own?
You can use third-party tools like TGStat or Telemetr to track publicly available metrics for any public channel. However, detailed statistics (like notification rates and growth sources) are only available to channel administrators through Telegram's native stats panel.

Does Telegram keep historical statistics forever?
Telegram displays statistics for approximately the last 2 years in its native interface. Older data may become unavailable, which is why regular exports are important for long-term analysis.

Can I export statistics to Google Sheets automatically?
Yes, by using the Telegram Bot API combined with the Google Sheets API. You can set up a script that queries your channel's stats daily and appends them to a Google Sheet. Several no-code platforms like Zapier and Make also support this integration.

Are there any free tools for exporting Telegram channel stats?
TGStat offers a free tier with basic analytics for public channels. For more comprehensive export features, most platforms require a paid subscription. The Telegram Bot API itself is free, but requires development effort to build a custom solution.

How do I track individual post performance over time?
The most reliable method is to use a bot that periodically checks message.views for each post and logs the data. This lets you build view-count curves showing how quickly posts reach their peak audience and how long they continue to accumulate views after publication.