Which Telegram metrics most often mislead ad results

If you have ever run ads in Telegram, you have likely faced a situation where metrics like views and subscribers look great, but there is no real result. No sales, no activity, not even basic feedback. The problem is that Telegram does not forgive superficial analysis. It is too easy to buy views, inflate likes, and present a dead channel as a promising placement. In this article we break down which metrics most often mislead and what you should actually consider when evaluating placement effectiveness.

Subscriber count is not an indicator

The first trap is to rely on the total number of subscribers. In Telegram this number can be inflated. There are channels with tens of thousands of subscribers where content has not been updated for months. There are others where the active audience is 5 percent and the rest are bots, random drive bys, or giveaway subscribers.

What really matters is the ratio of views to subscribers and the date of the last activity. A channel with 5,000 subscribers and stable 3,000 views per post is far more interesting than 50,000 with a reach of 1,000. Telepars solves this through the Channel Analysis module: it shows the last post date and whether the channel is actually live.

If you see a channel with a big subscriber number, do not trust it right away. This metric is only useful together with the rest.

Post views are not always organic

The second popular metric people look at first is views. But in Telegram views are easy to inflate. Especially in channels where admins know they will be checked. They boost reach on fresh posts and the channel looks "alive".

The problem is that one view can mean nothing. It can be an accidental open, a bot, or even the admin viewing posts from several devices.

What to do: look at view dynamics for the last 5 to 10 posts. The same reach on every post is a reason to be suspicious. A live audience almost always reacts differently. One post works, another is missed, and that is normal. But stable 10,000 views under every post is almost always a sign of inflation.

Another useful signal is reactions. If a post has 10,000 views and 3 likes, the reach may be dead.

Reactions and likes are not a guarantee of engagement

At first glance it seems: if a post has many likes, it worked. But Telegram allows reactions without reading the post. And they can be inflated, quickly and cheaply. So high activity under posts is not always a sign that a channel is live.

The real indicator is the ratio of likes to views. If a post has 5,000 views and 40 to 50 reactions, that is normal. If 10,000 views and 3 reactions, that is a signal. Especially if it repeats from post to post.

Another important point: are reactions regular? If activity appears once and then silence returns, it can be a warm up before ad placements. One post is inflated, everything else is a swamp.

For analysis it is best to export posts from the channel and sort by likes and views. This gives a real picture of which posts the audience actually finds interesting and which are skipped. You can do this quickly through Telepars.

Comments are easy to fake

Open comments are often perceived as a sign that a channel has life, especially if there is discussion. But here you can also be wrong.

Comments are easy to warm up: buy a batch of messages from fake accounts or coordinate activity through internal chats. Visually it looks natural: questions, clarifications, even disputes. But if you open the author profiles you often see empty accounts or the same participants under every post.

To understand whether there is real engagement, look at:

• diversity of authors;
• replies from the channel author;
• the combination of comments with likes and views.

If there are many comments but almost no likes and views, it is artificially created activity. A live audience usually reacts in a bundle: read, react, comment. If this logic is broken, it is a red flag.

Overlaps in similar channels are useful but not enough

Telepars has a Similar Channels feature that shows where the same audience sits as in the channels you selected. It sounds like the perfect scaling tool, but it is not so simple.

Many people make a mistake: they see a channel with 8 overlaps out of 10 and add it to the media plan. But overlaps are only a technical parameter. They show that audiences intersect, but they do not answer: how active is that audience? How relevant is the content itself?

So working only on the basis of overlap count is a risk. You still need to check:

• whether the channel is alive;
• how fresh the posts are;
• whether there are reactions and comments;
• what is actually published.

Overlaps are a first stage filter. After that, manual review starts. It is better to take a channel with 6 overlaps but regular content and an active audience than one that appears in 9 of 10 lists but is dead by other parameters.

Average daily reach is risky without context

When you view channel analytics you can see a metric called average daily reach, how many views posts get per day on average. At first glance it is useful, but it often misleads.

Why? Because:

• if a channel posts rarely, average reach is artificially high;
• if it posts five times a day, reach is spread out and the metric is understated;
• channels easily boost one post per day to raise overall stats.

Also, there can be sharp spikes after ads. If a post gets 20,000 views in a day and then nothing for a week, the average daily reach is still high even though it does not reflect reality.

The right approach: do not look at the number without context. Check how often posts are published and how reach changes from post to post. Ideally parse 10 to 30 posts and build dynamics. That shows whether the channel is stable or you hit a temporary spike.

Retention and churn are where the truth is

If subscriber and view metrics are easy to inflate, one of the few truly honest metrics is retention. It shows how long a person stays in the channel after subscribing. If you buy traffic, this is the first parameter to track.

A simple example:
After ads in one channel 300 people joined and after 3 days 40 remained.
From another channel 150 joined and only 20 left.
Retention shows whether you hit your audience, not just poured traffic.

The same applies to unsubscribes: if you see +200 on ad day and then -180 the next day, that is a signal. It means the donor channel did not fit your target audience. Or the ad offer was weak.

In Telepars you can see this through the Channel Pulse module and unique links. This lets you stop guessing and see which ads produce results and which only look like they work.

What you should actually analyze

Telegram is a place where metrics can look pretty but be empty. To avoid losing money and time, focus not on showcase numbers but on those that reflect real behavior.

Here is the list of metrics worth relying on:

• Last post date. If a channel is silent for 10 or more days, it is a warning signal.
• Reach to subscriber ratio. 30 to 50 percent is good, 10 percent or lower likely means a dead channel or a disengaged audience.
• Reactions and comments in dynamics. Not once, but across all posts. Look for patterns.
• Subscriber retention. How many days they stay after subscribing.
• Unsubscribes after ads. The higher, the worse the traffic.
• Traffic sources. Which channels bring real people and which push them back out.

If you work with analytics through Telepars, you can see and compare all of this in minutes. The main thing is to not trust numbers that are easy to display but hard to use. The ability to interpret data is what separates an ad campaign from a budget drain.

Telegram is a platform where numbers often work against you when you look at them without context. Subscriber count, views, likes, all of it is easy to inflate and tune for a showcase. But business does not need pretty numbers. Business needs clear, predictable results.

If you want to earn through Telegram, build funnels, and scale, you have to move away from superficial analysis. Real signals are retention, churn, engagement dynamics, and reaction to content. Do not look for the channel with the best cover. Look for the channel where the audience reads, interacts, and stays.

And remember: the main metric is not how many people came, but how many stayed and started acting. Everything else is noise.