Subscriber growth chart
Sources of views
Dynamics of post views and reactions
Channel topics and content
Total
Advertisers need to be vigilant and know how to check Telegram channels for fraud, otherwise they are guaranteed to lose their advertising budget.
Let's figure out how to analyze channels and what to pay attention to.
Checking a Telegram channel for fraud
For most of these steps, you'll need some kind of Telegram analysis service. There are several available on the RuNet, but we won't go into detail here; we've already covered them in the article " The 6 Best Telegram Analysis Services ."
There are several ways a channel can gain subscribers, fiji cell phone database and these factors influence the subscriber count graph.
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If a channel grows slowly through organic reposts, the growth will be more or less gradual, with minimal spikes followed by a moderate decline. A similar pattern will be observed when promoting through targeted advertising.
Telegram channel subscriber growth
An example of channel growth that develops organically
If you see sharp jumps on the chart, it usually means that:
The owner purchased advertising on the channel and received a large increase in subscribers;
he got more subscribers;
or they received a repost or mention on another big channel.
To determine for sure where subscribers are coming from, we need to check the channel's citations . This will show us which channels have linked to this channel and allow us to determine whether the increase is due to advertising, organic growth, or fraud.
If we see a large increase in the number of subscribers on a given day, but there are no links from other channels on that day, this is the first sign that the subscribers were purchased .
Sources of views
You should request these statistics from the channel owner. Ideally, they should record their screen, as a simple screenshot can be easily faked.
The majority of views should come from channel subscribers. A significant portion of views may come from URLs if the channel receives traffic from external sites, but in this case, you should ask to see where the links to the channel are located and assess whether the traffic is actually coming from there.
Channels with a live audience will also see some views from search, related channels, private messages, and other sources. However, these combined accounts for a smaller portion of traffic.
Telegram channel viewing sources
This is what Roman Dzhunusov's personal channel statistics look like, for example . Most views come from subscribers, but there are also many via URLs—we redirect visitors from our blog to the channel.
In these same statistics, we also look at the language statistics. For a Russian-language channel, about 90% of users should be Russian speakers.
Dynamics of post views and reactions
While views can be inflated, not everyone wants to or knows how to do it convincingly, so they are also worth analyzing.
Posts receive on average 70-80% of views and reactions within the first few hours of publication, with the remainder occurring over the next 24-48 hours.
The exception is when posts are infrequent but the channel receives constant traffic. In this case, views can grow over a long period of time.
The reaction-to-view ratio is typically 1-4%. In smaller channels, the ratio will be higher, as the audience is small and engaged, while in larger channels, it will be lower, as inactive users accumulate and the connection with even active subscribers weakens.
Telegram channel verification parameters
There are many more parameters by which you can check a Telegram channel for fraud, but the above will be enough to weed out most fake channels.
Channel topics and content
While the topic itself doesn't directly indicate whether a channel is manipulated, based on personal experience, we can say that original channels attract a higher-quality audience . These channels are either run by a specific, real person or under a fictitious name, but the content clearly indicates that they are run by a single person.
If we're talking about faceless channels with general advice, stories, recommendations, etc., the likelihood of fraud is significantly higher. Such channels are much easier to manage; their content is generated by AI or copied from other sources, and they can be created en masse, promoted with bots, and sold for advertising.