AwrAiter

Analytics

Telegram channel analytics for the channels you actually run

AwrAiter reads statistics from Telegram for every channel you connect and shows them next to the posts: views, reactions, forwards, comments, ER and ERR, subscriber growth by day. The formulas are the ones TGStat uses, so your numbers are comparable with what advertisers check. The difference: you see all of your own channels on one screen, with the post text right there.

AwrAiter analytics overview of a Telegram channel with ER, ERR and subscriber growth
The channel overview: reach, ER, growth and the posts behind the numbers.

01 — What you get

Three levels: post, channel, team

  1. 01

    Per post

    Views, reactions, forwards, comments, ER, the publishing slot, and how the post compares with the channel's 30-day median.

  2. 02

    Per channel

    Subscriber growth, ER and ERR over 1–90 days, top and flop posts, the slots that work for this audience.

  3. 03

    Per team

    The Control Room: every channel the team runs, sorted by health — empty weeks, falling ER, failed posts — on one screen.

  4. 04

    For your assistant

    The MCP tool get_channel_insights hands the top and flop posts, with texts and slots, to ChatGPT or Claude so it writes in what works. Details are part of paid plans.

02 — The numbers, defined

Formulas you can quote to an advertiser

ER

(reactions + forwards + comments) ÷ views × 100, per post. How much of the audience that saw the post reacted to it.

ER by subscribers

The same numerator ÷ subscribers × 100. Useful when comparing channels of similar size.

ERR (reach)

Average views per post ÷ subscribers × 100. The share of subscribers a post actually reaches.

Growth

Subscribers by day, with the delta over the period. Both joins and leaves are visible.

Slots

Which hours and weekdays collect the most views and reactions — for this channel, from its own history.

Export

A weekly export to a Google Sheet for every channel with a sheet URL, for reports you already build.

03 — Benchmarks

What a normal ER looks like

Per-channel medians across channels run in AwrAiter, 90 days to 2026-09-03: 19 channels, 7442 posts; a channel counts with at least 10 posts and 100 subscribers. Small sample, real numbers — use them as a sanity check, not a target. Buckets with fewer than five channels are not shown.

Channel sizeChannelsPostsER (median)ER by subscribersERR (reach)
< 1 000612761.7%0.36%4.6%
1 000 – 10 0001361661.6%0.30%21.3%

A tiny channel with 40% ER is not a phenomenon: the denominator is small. Compare within a size bucket, and watch ERR — reach is what an advertiser buys.

04 — Questions

Before you connect a channel

Do you show statistics for channels I do not own?

No. Only channels where the AwrAiter service account is an admin. For market research use TGStat or Telemetr; AwrAiter is for the channels you run.

Are the numbers comparable with TGStat?

Yes. ER, ER by subscribers and ERR are computed with the same formulas. Small differences come from the moment of capture.

How often do statistics update?

Several times a day for every connected channel, and on demand when you open a channel.

Can I compare my channels with each other?

Yes, in the Control Room, and through the MCP tools get_channel_stats and deep_analyze (the latter compares several channels and spends AI credits).

Does a comment count if the discussion is in a group?

Yes, when the channel has a linked discussion group; comments are read from it.

Connect a channel and see its real numbers

History loads on connection. One channel is free, forever.