It can be done in the DataFan bot.
This is necessary for quickly selecting promising channels for cooperation. You can copy many links into the bot and get the following data about blogs.
The number of posts on the channel compared to the number of users. If these values differ by thousands of times, then we can assume that the subscribers are inflated or the channel was bought earlier and started its activity practically from scratch.
Engagement level. Reflects the share of active users viewing publications on the channel. An acceptable figure is 10-30%. If the value differs significantly from these values, then the reason for the increased interest or lack thereof should be determined.
Citation index. Shows the number british student data package of citations of channels in other blogs. If this indicator is zero, then we can conclude that the blog was created recently or has never been promoted using advertising in Telegram.
The size of advertising coverage by periods. This information will help determine the effectiveness of promotion. Compare the price of an advertising publication with the coverage indicators, then you will be able to calculate CRM.
The above actions allow you to obtain general, but not exhaustive, information about the channel. To collect more complete data, you need to use the TGStat service.
View the dynamics of subscriber growth
This data can be obtained from the Subscribers and Subscriber Acquisition sections of TGStat.
The Telegram audience is always unstable, it gradually decreases or increases throughout the year. At the same time, there should not be too sharp fluctuations. Otherwise, we can conclude that a significant portion of users were inflated.
At the same time, the audience can grow sharply in certain periods if advertising was posted at the relevant time and users actively reposted. Similarly, sharp fluctuations can indicate a mass migration of subscribers from other resources. Such a trend was noted in March 2022.
Migrating Users
Source: shutterstock.com
In any case, if the number of subscribers fluctuates sharply, you should take a closer look at the statistics in the “Subscribers” section, paying attention to the following information.
Change in the dynamics of subscriber growth by dates and hours. After the ad is published, the audience grows relatively evenly over an extended period. When cheating, explosive growth is typical on a particular day and zero the next day. This is also indicated by the unsubscription of half of the users who previously subscribed to the channel within a week.
You should also pay close attention to unsubscribes. They are almost always there, making up 5-10% of new users. If they do not occur, then there are two options: either the audience is absolutely loyal (which is unlikely), or the statistics were inflated.
Where do new users come from? TGStat shows the channels where ads were placed. In some cases, fake mentions on other resources are used to hide the cheating. A clear discrepancy between the audience size and the number of citations can be alarming, for example, if an ad was placed on a blog with 10,000 users and attracted 15,000 subscribers.
Review the "Attracting Subscribers" section and assess how consistently the channel is promoted.