April 27 tgstat.ru has been seriously updated: the design has become more pleasant, the functionality is wider, the analytics are deeper. If you want not to get lost in a bunch of metrics and draw objective conclusions based on data about Telegram channels, this guide should help.
How to view all channels of a certain topic?
Suppose you need to evaluate competitors in a particular niche. Then it would be most logical to go to the main page of TGStat, scroll down a bit and select the one that suits you from the list of categories.
How to find a specific channel?
If you want to analyze a specific channel, just find the search bar at the top of the page and paste your link there.
How to analyze data from different sections of TGStat?
First of all, after you have selected a channel for analysis and fell into it, click on the “Statistics” button to access the metrics. And keep in mind the rule:
You need to keep track of the context, and not just fix changes in indicators. Find an explanation for each unusual outlier. No other way.
It is also important to take into account that TGStat separately calculates views for each image in a post – be careful.
Section “Summary”
It is a dashboard with the main indicators. The section is convenient to use for quick analysis of the channel status. Inside the “Summary” you can find the following charts (charts and indicators):
Subscribers. The indicator will help to assess the popularity of the channel and the dynamics of audience change. If we see a smooth growth, most likely, they are working on the channel correctly. If we see a sharp increase, we assume that cheating is possible. If we see a slight drop, we don’t worry too much. If we see a sharp outflow of the audience, we think about past promotions or a sharp change in the channel format.
Subscriptions/unsubscriptions within 24 hours. We pay attention to strong emissions. If a lot of people unsubscribed within one day – look at the publications, perhaps a post was released on an unsuccessful topic. If we see a rise in subscriptions, it is possible that the channel ordered advertising placement on that day.
Citation index. If you want to evaluate how effectively content is distributed virally, look at this indicator. The higher the indicator, the more often the publication of the channel shines with other authors.
Average coverage of 1 publication. Useful to know in order to estimate how many people, on average, see the posts of the channel. Indirectly indicates the involvement of the audience in the content (through the ERR indicator – more on that below).
Average advertising coverage of 1 publication. This is the average number of views of publications only within the channel, without coverage from reposts. The metric will help you more objectively assess how many people watch content in this particular channel.
Channel age. It seems that if you take several channels with similar indicators and look at their age, you can identify an approximate time range within which you can achieve certain results in terms of subscribers, average coverage, etc.
Publications. The metric has no deep meaning. True, it can tell you how many posts should be published on your project. To do this, look at the number of publications per month for a number of successful competitors.
Subscribers read channel posts (average reach 1 post / number of subscribers * 100%). Using the indicator, you can assess what part of the audience is actually actively following publications. In Telegram, such a metric is referred to as ERR.
Section “Subscribers”
Here you can determine in more detail how the number of subscribers has changed over time. I advise you to pay attention to outliers – they can be used to determine when successful advertising integrations were placed (increase in the number of subscribers) or used inappropriate topics in the content (decrease in the number of subscribers) .
Theoretically, if you take several competitors from the same niche and look at their graphs of change in the number of subscribers, you can determine the average growth rate for some ranges of subscribers. For example, if a channel has 10-25 thousand subscribers, its audience, on average, grows by 1.2% per day. So you can roughly predict the growth of your own channel in advance at each stage of promotion.
Citation Index section
In addition to the index itself, which reflects the virality of the content, the number of mentions and reposts is noted at the top of the page. By “mention” is meant the appearance somewhere in Telegram of your channel login in the format “@example”. And under the repost – forwarding a separate publication. Experimentally, it is possible to lay a deeper difference between these two concepts:
channel mention – appears when a person believes that the mentioned channel regularly publishes useful and interesting materials.
repost publication – appears when a channel subscriber likes a separate content unit.
That is, a non-advertising mention is a more “strong” reaction than a repost – because it indicates a constant strong interest in the entire channel as a whole. A repost reflects interest in only one of the channel’s publications.
Additionally, mentions are examined within 4 charts:
Mentions by type. The context of the mention is taken into account. Individual ones are the most “strong” because they only draw attention to your channel. The channel can get into the collections just for the quantity.
Mentions by number of subscribers. The larger the channel mentions you, the better. It is not possible to draw particularly deep conclusions from this chart.
Mentions by topic. The chart can be useful if your feed is blurred between multiple directions. By looking at the distribution of mentions, you can roughly determine which thematic area is most interested in your content.
Mention by country. Situational useful chart. If the geolocation of your most engaged users is important to you, focus on the chart.
Citation section
At the start of the section, there is a diagram that will help you determine which channels are most often mentioned by the channel under study (left) and which channels are most often mentioned by the channel under study (right). Alternatively, you can use it to determine where you are loved the most and propose a collaboration.
Additionally, you can see the latest mentions in channels and chats. Theoretically, this can be useful if you want to quickly come to the place where you were reposted and communicate with the audience.
Publication coverage section
Contains three charts:
Average coverage of the publication.
Average advertising reach of the publication.
Views of publications in total by day.
I talked about each of these indicators in the section on “Consolidated”. The only addition: if you look at the views of publications in total by day, given the same number of published posts, you can select the days of the week on which subscribers interact more actively with the channel.
View Analysis Section
The main information from here is the dynamics of post views by the hour. With its help you can:
determine the best hours for publication. For example, if a post gains more than 35% in the first hour, we consider the publication time to be successful. And if it’s less, then we revise the time for posting so that the notification from our channel is not interrupted by competitors.
detect twist. For example, if in one hour (not necessarily the first) a post gets 80% of views, this is suspicious. Assess the regularity of such oddities and draw conclusions.
Section “Advertising effectiveness”
Posts that mention third-party channels are displayed here. You should carefully look at two parameters that will help evaluate the effectiveness of advertising posts:
views. Everything is clear with them.
subscriber growth. Shows how many subscribers the advertised channel has grown during the lifetime of the post.
Section “Attracting subscribers”
It will help to evaluate how the channel attracts traffic.
There is such data:
the number of channel mentions per month.
total monthly coverage of mentions.
subscriber growth.
Depending on the task, you need to look at the ratio of the number of channel mentions and coverage or subscriber growth. Thus, it will be possible to indirectly evaluate:
how did the mentions affect the popularity of the channel?
How many subscribers did you manage to attract through mentions?
Section “External traffic”
It can help to understand where the transitions to the channel under study come from. An example of use: we look at the distribution of traffic by external sources, identify promising and lagging ones, and optimize the budget for promotion.
There is an important caveat: only those transitions that were made through the redirect service are taken into account ttttt. me.
Section “Top publications”
Previously, it was impossible to make top publications and it was very infuriating. Now, in TGStat, you can not only see the most viewed posts, but also compile tops by forwards, reposts (forwards without private messages), comments, reactions.
Focusing on top publications, you can guess which topics and formats best engage the audience. Next, you should try to scale them and follow the results.
Publication Schedule section
Can be useful if you want to see when a successful competitor is posting. Or you want to experiment with your own content posting times.
Conclusion
TGStat has evolved a lot. Now this is the strongest solution for Telegram analytics with a lot of features. But don’t forget the main rule:
Behind the indicators it is important to see the meaning. Think not just about changing the numbers, but about why they change.
Draw the right conclusions, treat your data with care, and work smart.
And if you want to launch a content project, develop a brand promotion strategy in social networks or research the audience, please contact me. You can write to Telegramin In contact with or by mail. I hope we get along.)
