Starting with the 6th version of Telegram messenger, channel administrators can view statistics. True, it is available for channels with more than 1,000 subscribers, while the administrator himself must have the right to publish messages in the channel.
In the article, we will tell you where the statistics in Telegram is located, what sections there are and what to do with the received data. And also, what are the alternative methods of accessing statistics.
Read also: How to send bulk messages in Telegram
How to view statistics in Telegram and how to analyze it
Channel statistics in Telegram are displayed on devices running Android, iOS and macOS. Users of the desktop version of the messenger on Windows cannot yet see the statistics (regardless of the number of subscribers), but, perhaps, in new versions of the messenger, these restrictions will be removed (the information is relevant for versions from 6.0 to 7.1.).
Where are the statistics.
If you have Android, you need to go to the page with information about the channel, click on the menu 3 points – “Statistics”. On iOS it’s the same, but instead of three dots, you need to click on “More”.
Let’s see what sections there are.
total stats
General statistics show summary data for the last 7 days, namely:
- number of subscribers and growth;
- number of views of publications;
- number of users with enabled notifications (as a percentage);
- number of shares.
What this information gives:
Number of subscribers… With the number of subscribers and their growth, everything is clear – a sharp increase (different from the average) may be the result of running advertising or redirecting traffic from other resources, for example, from Tik-Tok, YouTube channel, catalog of TG channels. Also, a link to your channel could have been left on the visited resource (even without your knowledge). If people unsubscribe en masse, you should reconsider your channel strategy – most likely, the content is not interesting to the audience or you have gone too far in your posts somewhere.
General number of views publications also show how people are interested in your content.
Notifications… The percentage of subscribers with notifications turned on indicates that these users are more likely to see the message than those who turned off notifications. You can use this information to plan your ad placement on your channel. If the percentage is very low, you may be posting content too often, and constant notifications annoy users. One way to increase the percentage is to move from the number of posts to their quality.
Many users turn off notifications on all channels, regardless of their quality, so this indicator is not as accurate. You should pay attention to it in conjunction with the rest of the data.
Number of shares also speaks of interest in content. The more shares the better.
It is interesting: How to promote a Telegram channel
Growth
Here you can already see in more detail the dynamics of changes in the number of subscribers by day. The slider at the bottom of the section allows you to select a time period – at least 10 days, maximum – about 3 months.
Followers
If the previous graph is about the total change in the number of subscribers, then 2 colored graphs in the “Subscribers” section show in more detail how many people have unsubscribed and how many subscribed on specific days. Green graph shows subscriptions, red – unsubscriptions.
What this information gives:
You can study the reasons for subscriptions / unsubscriptions on selected days. For example, last Wednesday you had an unusually large number of people unsubscribed. You are browsing the posts for this day and it turns out that one of them is too provocative – perhaps this is the reason.
Important: Periodic unsubscriptions are a natural process for Telegram channels. It’s bad when they unsubscribe abruptly and in large quantities.
Notifications
These graphs show on which days subscribers turned on or off channel notifications.
What this information gives:
Here we are more interested in the outage schedule. It can be used to track after which posts subscribers turned off notifications and post less such content. But as we wrote above, the reason may not be related to content at all.
Views by hour
The graphs show how the number of views has changed by the hour. One of the graphs shows data for the last week, the other for the previous one.
What this information gives:
If the indicators are approximately the same for two weeks (there are no sharp jumps), this data can be used to determine the time of audience activity. If the most views are on Wednesday at 5 pm, it is worth posting important information or advertising posts during this period.
Sources of views
The graph shows where the post views are from. What metrics are available:
- Subscribers – Views from channel subscribers.
- URL – Views from people who opened the post from the link.
- Search – views from people who found you in the search for the messenger.
- Channels – Views of the post in other channels.
- Personal chats – views in personal correspondence.
- Groups – views in chats.
- Other.
What this information gives:
The URL and Channels metrics track the performance of your ad posts. If you posted a link to a post on social media or on your website, you can also estimate how many views it brought.
The Private Chats and Groups metrics show that followers are sharing your content. If you get a lot of views from reposts, then you should make more posts that you want to share. Usually, subscribers willingly share useful and viral posts.
Sources of new subscribers
Similar to the previous point, but here is information on subscribers. Less metrics: URL, Search, Personal chats, Groups, Channels. Frankly speaking, there is a lack of metrics on social media and YouTube.
What this information gives:
Makes it clear where the most subscribers come to you. You can use the URL and Channels metrics to measure the effectiveness of your ads, as well as the effect of self-linking. If people come to you from Groups and Personal Correspondences, then the channel is being shared, and this is a good indicator. If people come from search, then you have successfully optimized the channel – found a good name, used keywords in the description.
Languages
Statistics show the main language of your audience. The information is useful when placing advertisements.
Activity
Shows the total number of views and reposts by day. Blue graph – views, yellow – reposts.
What this information gives:
Allows you to track the quality of content. See which days you have the most views and reposts, analyze the content posted on those days, and focus on creating such posts.
Recent Posts
Shows a list of recent posts and the number of reposts / views for each.
What this information gives:
The section is immediately below the activity section. This makes it easier to analyze your content – you can see immediately which posts are generating the most engagement. It remains to analyze how these publications hooked the audience.
Publication statistics
Each channel post has its own mini-statistics. You can see the total number of views, public and non-public reposts, activity by day, and if the post was shared in open channels and groups, then statistics will show in which ones.
How to view other people’s statistics
This information can be useful when looking for channels for advertising and competitor analysis. Of course, you can ask the admins for statistics, but, firstly, not everyone shares it, secondly, this is the waiting time, and thirdly, it is better to double-check the data anyway.
The most popular services for viewing other people’s statistics:
- TGstat.
- Telemetr.
Conclusion
Previously, it was necessary to track the development of your Telegram channel manually or through external services. To do this manually is long and inconvenient, and the services did not give the full picture. It took Telegram developers years to listen to users and finally add a section with detailed statistics.
Now it is easier for admins to figure out why subscribers are leaving, what promotion methods bring a new audience to the channel, which publications “enter” and which ones do not.
A couple of additional metrics and a more visual graph of hourly activity are missing (for example, as it is implemented in Tik-Tok statistics), but what has already been done is encouraging.
useful links: