4 measurements spanning 6 days, net +4. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 1,618–1,624 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 12:15
1,623
+2
10 Aug 2026, 21:31
1,621
+2
7 Aug 2026, 16:48
1,619
no change
7 Aug 2026, 13:56
1,619
first reading
Engagement
17 posts held, back to 3 March 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
62.8%
avg views ÷ 1,623 subscribers
Avg views / post
1,020
1 post measured
Reaction rate
2.16%
reactions ÷ views · ER floor
Posts in window
1
of 17 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
What these figures were computed from
Window
Rolling 30 days · latest post in window 17 July 2026
Posts held
17 (3 March 2026 – 17 July 2026)
Views total
1,020
Reactions total
22
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 16:48 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Video runtime
21s
Average length
21s
Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
463 reactions across 16 posts, in 19 distinct kinds. The most used accounts for 36.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
170
36.7%
❤
115
24.8%
👍
60
13.0%
🎉
22
4.75%
👎
17
3.67%
🥰
17
3.67%
🤝
9
1.94%
❤🔥
8
1.73%
🍾
8
1.73%
😁
8
1.73%
🥱
6
1.30%
👏
5
1.08%
🌭
4
0.864%
🙏
4
0.864%
👀
3
0.648%
🤣
3
0.648%
🤩
2
0.432%
✍
1
0.216%
🏆
1
0.216%
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 16 of the 17 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 463reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 3 March 2026 to 17 July 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Telegram Stars
Stars received
77
across the posts below
Posts paid on
14
of 17 we hold a reading for · 82%
Most on one post
50
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @mbaetolegko. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 17 most recent posts we hold for this entry, published 3 March 2026 to 17 July 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
⚠️ ВАЖНО: от моего имени работает скам-бот
Появился фейковый бот @mbaetolegkobot, который использует моё имя и аву.
Он рассылает «верификации», фишинговые ссылки и фейковые «скидки на арбитраж 35%».
❌ Это НЕ я. У меня нет никаких ботов с «кешбэками» и «скидками».
❌ Не переходите по ссылкам, не нажимайте «Verify» и тем более ничего не оплачивайте.
🙏 Прошу помочь снести этого бота — займёт 30 секунд:
1️⃣ Откройте бо…
Если подвести общий итог, то вывод у меня такой:
1️⃣ Лейте как вы привыкли и как вам удобно, фб подстроится под вас и найдет нужную аудиторию
2️⃣ Но если ваша кампания зацепилась, то заливайте в нее больше адсетов и крео
3️⃣ Делайте дубли плюсовых адсетов внутри кампании
4️⃣ Заливайте несколько крео внутри одного адсета
5️⃣ Оптимизируйте кампанию, постепенно наращивайте бюджет на адсетах или в кампании
6️⃣ Не б…
Как и обещал выкладываю новую супер пользу:
Срезы по эффективности различных настроек наших рекламных кампаний
– больше 45к кампаний
– почти 2 млн конверсий
– нутра
Агенда:
🟢 сильное влияние
🟡 незначительное влияние
Эту версию отчета я самостоятельно навайбкодил, чему очень рад
🟡 CBO vs ABO
CBO дают +5% ROI к ABO.
Мое мнение: Можно использовать оба варианта, кому как привычнее
🟡 Advantage+ placements
Manual pla…
Наконец добрался подводить итоги, сразу сделаю это по маю и в целом по первому полугодию 🚀
– в команде 70 баеров льющих в плюс последние 30 дней
– суммарно за полгода мы сделали почти 200 млн кликов и 1,9 млн конверсий
– за май мы наконец превысили показатели января, что очень круто, с учетом всех трудностей, которых подкинул нам фб
– мы увеличили наш сервер Keitaro до 48 ядер, чтобы всё летало с учётом объема трафи…
Записи и конспекты с AI-кейсами с прошедшей AI Skills Conference ⚡️
Вы спрашивали: А КОГДА УЖЕ ЗАПИСИ AI Skills конференции будут????
А вот они и подоспели 🔥
Тут все записи лайвов конференции от команды Community Sprints:
День #1: AI-кейсы из Plata, Wallet @ Telegram, Zalando, TripleTen
• Линк на запись в Youtube
• Конспект с summary кейсов
• Стань AI-Native маркетологом и собери первые команды AI-агентов для ма…
Один практический инсайт с панели Apps in Motion NYC:
Лучшие креативы в рекламе можно перезапускать до 30 раз.
Даже если конкретный ad начал выгорать, это не значит, что умер сам creative concept.
Его можно перезапустить:
— на другую аудиторию
— в другой кампании
— с другим таргетингом
— с другим хуком
— с другой посадочной
— иногда даже почти без изменений
Поэтому важно разделять две разные задачи:
1. Оптимиза…
Анонс нашего совместного проекта с @mbaetolegko планировался на месяц раньше, но мы решили переждать шторма ФБ, чтоб новички могли стартануть без лишнего стресса.
Итак, мы запускаем приватный бесплатный обучающий курс по заливу с ФБ на нутру 😋
Обучение будет построено на основе внутренних тренингов команды EtoLegko - если ещё не в курсе, кто эти ребята, то обязательно посмотрите наш подкаст с фаундером - это безусл…
#5 минут с практиком: О маркетинговом чутье, автоматизации и борьбе со страхами
Сегодня герой нашей постоянной рубрики — Ален Погосов, основатель медиабаингового агентства Eto Legko. Поговорили о том, почему в 2026 году дисциплина важнее таланта и как математический подход помогает перестать бояться масштабирования.
Что в 2026 дает байеру больше профита — «прямые руки» или арбитражное мышление?
Чтобы просто хорошо…
Мне сказали что записи войса не будет😢
Поэтому кому интересно услышать про наш опыт запуска iGaming направления переходите по ссылке через 30 минут: https://t.me/affiliate_lsn?videochat
We’re bringing together people from different verticals to see how one niche moves into another and what actually works in practice 😄
📅 6 May | 🕑 14:00 Lisbon time
🎙 Live Voice Chat on Telegram
Speakers:
👤 Volodymyr — CEO, BobrTraff
👤 Alen Pogosov — Founder & CEO, EtoLegko
Topic: Gambling for nutra teams — an experiment from one team
We’ll cover:
▪️ Why nutra teams explore gambling
▪️ How testing a new vertical w…
Я уже 2 месяца обещаю подвести итоги месяца 😅
Наконец-то добрался до этой задачи.
Итоги первого квартала 2026:
• 1 274 043 конверсии
• 61 баер льёт в плюс (за последние 30 дней)
• Январь – топ, февраль – просадка, март – восстановление, апрель – вернулись к уровню января, но с чуть меньшим ROI
• Нас уже 150+ человек
Что сделали за квартал:
• Инвестировали в крео-отдел. Уже: 12 дизайнеров, +14 стажёров, 5 фронтенд…
Кстати при заливе на PWA мы тоже решили лить только на себя и не доверять статистике кликов PWA сервисов.
Всем рекомендую делать также!
Пришлите сюда обратную связь, сколько кликов "не доходит" до PWA с таким методом залива.
Как мы делаем:
В ФБ в кампании ссылка на наш трекер, в трекере новые клик идут на поток PWA, а все кто открывает установленную PWA идут в поток на продукт.
Все очень просто и весь трафик под к…
🙏4👀1👎1👏1🥱1😁1
Showing the 12 most recent of 17 posts we hold for @mbaetolegko. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Citation-graph rank
Citation-graph rank — 1,027,493 of 1,345,403entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“Alen Pogosov. Арбитраж трафика” (@mbaetolegko), 1,623 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/mbaetolegko.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.
