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Telegram channel engagement rate: what is normal

A Telegram channel's engagement rate is the number of views its posts get divided by the number of subscribers it has. Measured across all 139,115 public Telegram channels with at least 1,000 subscribers whose public page we read in the 60 days to 3 October 2026, the typical channel with 1K-5K subscribers reaches 27.5% of its subscribers per post, while the typical channel with 500K+ subscribers reaches only 3.1%. There is no single good number: what counts as healthy depends almost entirely on how large the channel is.

October 2026 edition, measured on 3 October 2026 across 139,115 channels. Every benchmark figure on this page comes from that one measurement, and the benchmark is re-measured each quarter with the same query.

Check any public Telegram channel

Enter a channel username to see its views per subscriber and where that ranks against channels of the same size.

What a good Telegram engagement rate looks like, by channel size

Each row counts every channel in that size band, out of all 139,115 public Telegram channels with at least 1,000 subscribers whose public page we read in the 60 days to 3 October 2026. Nothing in this table is sampled. "Bottom 10%" is the tenth percentile of views per subscriber, "middle half" runs from the 25th to the 75th percentile, "typical" is the median, and "top 10%" is the ninetieth percentile.

Views per subscriber by channel size, October 2026, 139,115 public Telegram channels measured on 3 October 2026
Channel sizeChannels measuredBottom 10%Middle halfTypical (median)Top 10%Typical views per post
1K-5K subscribers43,6053.9%10.4% to 68.1%27.5%169%544
5K-20K subscribers44,2342.1%5.5% to 34.6%14.0%88.0%1,705
20K-100K subscribers41,4281.4%3.8% to 23.6%9.6%58.6%3,638
100K-500K subscribers8,6250.73%2.2% to 16.4%5.9%40.3%10,117
500K+ subscribers1,2230.36%1.1% to 10.1%3.1%31.4%31,836

October 2026 edition: 139,115 channels, measured on 3 October 2026. Across all of them the median is 14.5%, and 10% of channels average more views per post than they have subscribers.

The most important thing in that table is the slope. A channel with 1K-5K subscribers typically reaches 27.5% of its audience per post; one with 500K+ subscribers typically reaches 3.1%, a 8.8x difference. That fall is normal and has nothing to do with audience quality: large channels accumulate subscribers who joined years ago, muted the channel, or stopped opening Telegram, and no amount of good posting reverses that. Comparing a million-subscriber channel with a five-thousand-subscriber one on a single engagement-rate number will label the large one dead every time, which is why every figure on this site is ranked inside a size band.

Does the niche change what a good engagement rate is?

Size matters most, but at the same size some niches reach about three times the share of their subscribers that others do. The table holds channels with 5K-100K subscribers from the same October 2026 measurement, limited to channels our classifier has assigned a niche and to niches with at least 200 such channels.

Crypto is near the bottom: the median crypto channel with 5K-100K subscribers reaches 8.4% of its subscribers per post (2,712 channels), against 18.8% for music (423 channels), measured on 3 October 2026.

Median views per subscriber by niche, Telegram channels with 5K-100K subscribers, October 2026
NicheTypical (median)Channels measured
Music18.8%423
Programming17.0%327
Anime14.9%379
Gaming14.3%377
Science13.4%329
Movies12.8%403
AI12.6%233
Tech12.6%504
Business12.5%429
Memes11.9%416
Education11.7%2,347
Design10.9%421
Politics10.5%646
News8.7%2,660
Crypto8.4%2,712
Finance7.7%455
Sports7.7%667
Deals5.9%207

How to check whether Telegram subscribers are real

Bought subscribers show up as a gap between the two numbers Telegram publishes. Five checks, in the order they are worth doing:

  1. 1

    Compare views per post against subscribers

    Open the channel on t.me in a browser. Every recent post shows a view count. Divide it by the subscriber count and compare that against the table above for the channel's size band. A channel sitting in the bottom tenth of its band is the single strongest signal that its subscriber count was inflated.

  2. 2

    Look at the shape of the growth curve

    Real growth is lumpy but continuous. Bought subscribers arrive as a vertical step - tens of thousands in a day or two, then flat. A channel whose subscriber chart has a cliff in it and whose views never rose to match is the textbook case.

  3. 3

    Check whether views track new subscribers

    If a channel added 40% more subscribers over three months and its average views did not move at all, the new subscribers are not reading. This is more informative than any single-day snapshot because it controls for how good the individual posts were.

  4. 4

    Read the reactions and forwards, not just the views

    View counts increment when a post scrolls past. Reactions and forwards require a decision. A channel with high views and almost no reactions on any post is worth a second look, especially in niches where reacting is normal.

  5. 5

    Treat anything you cannot open yourself as unverified

    If the channel is private or invite-only, none of the above is checkable from outside, and no third-party tool can check it either. Ask for a screen share rather than screenshots, and never let a private channel's claimed numbers set the price.

What this score cannot tell you

  • Private and invite-only channels.If a channel is not readable on its public t.me page, there is no view count to measure - and those are disproportionately the channels that end up for sale. A seller's screenshot of a private channel's views is not something anyone can verify from outside.
  • Groups and supergroups. Telegram shows a view counter under posts in broadcast channels only. Around 5% of the chats we track are groups, and none of them can be scored this way, by us or by anyone.
  • Channels we have not sampled recently. Of roughly 456K tracked channels above 1,000 subscribers, about 405K currently carry a post view sample. The rest show "cannot be measured" rather than a guess.
  • A high number is not automatically good. Views per subscriber above 100% means posts are being seen far more often than the channel has subscribers, which comes from forwards, cross-posts, or paid promotion. It is real reach, but it says nothing about whether the subscriber list itself is genuine.

How the score is calculated

For every public channel we track, we read the subscriber count and the average view count of its recent posts from its public t.me preview - the same page anyone can open in a browser. Views per subscriber is the second divided by the first.

The benchmark table counts every channel that qualifies, with no sampling: broadcast channels with at least 1,000 subscribers and a readable view count whose public page we read in the 60 days before the measurement. The window matters, because a view count read months ago describes the channel as it was then. The October 2026 edition covers 4 August 2026 to 3 October 2026 and holds 139,115 channels. It is a dated edition, re-measured once a quarter with the same query, so a figure quoted from it can still be checked here later.

The checker at the top of the page places a single channel on a percentile ladder for its subscriber band. A percentile of 20 means the channel's posts reach a smaller share of its subscribers than 80% of similarly sized channels. Those ladders are rebuilt from the live catalogue every few hours, in full above 100,000 subscribers and from a sample below it, so a channel's percentile there can differ slightly from where it would fall in the dated table.

Below 1,000 subscribers we publish the ratio but not a percentile. At that size a single forwarded post can move views per subscriber by tens of percent, so a rank there would be noise presented as a measurement.

Frequently asked questions

What is a good engagement rate for a Telegram channel?
It depends on size. Measured across all 139,115 public Telegram channels with at least 1,000 subscribers whose public page we read in the 60 days to 3 October 2026, the median is 27.5% of subscribers viewing each post at 1,000-5,000 subscribers (43,605 channels), 9.6% at 20,000-100,000 (41,428 channels), and 3.1% above 500,000 (1,223 channels). Anything at or above the median for your own size band is healthy; the bottom tenth of a band is where bought subscribers show up.
Why is my Telegram channel's engagement rate falling as it grows?
Because the denominator keeps growing while old subscribers stop reading. Every channel accumulates people who joined for one post, muted it, or stopped opening Telegram, and they never unsubscribe. This is the normal path for every large channel and it is why the benchmarks on this page are cut by size. If your views are still rising in absolute terms, the falling percentage is not a problem.
Can Telegram view counts be faked?
They can be inflated with view bots, but it costs more and is far less common than buying subscribers, because views have to be repurchased for every post while subscribers are bought once. That asymmetry is exactly why views per subscriber works as a check: the cheap thing to fake is the number in the denominator.
Does a very high views-per-subscriber number mean the channel is good?
It means the posts are reaching well beyond the subscriber list, through forwards, cross-posts, or paid promotion. That is real distribution and often valuable, but it is not evidence that the subscriber list itself is genuine. A channel can have both bought subscribers and heavy external promotion at the same time.
Can you check a private or invite-only Telegram channel?
No, and neither can any other tool. Private channels do not expose post view counts publicly, so there is nothing to measure from outside. This matters because private channels are among the most commonly sold, and it is why we show “cannot be measured” for them rather than a number.
Is this free?
Yes. Checking any public channel is free with no account and no limit. The benchmark table is built from our own crawl of public t.me pages, which is the same data anyone can read in a browser.

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