Telegram RegisterThe public register of Telegram

Channel

Максим Оганов | Прибыльный digital

@oganov_blog

Verified by Telegram

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry

4,415subscribers

-4 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001543569535
TypeChannel
Username@oganov_blog
CreatedBetween 1 August 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/oganov_blog

Growth

4,4154,4244,419.56 August 2026 — 4,419 subscribers6 August 2026 — 4,419 subscribers7 August 2026 — 4,424 subscribers9 August 2026 — 4,416 subscribers13 August 2026 — 4,415 subscribers6 August 202613 August 2026
5 measurements spanning 7 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 4,414–4,425 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 08:534,415-1
9 Aug 2026, 23:354,416-8
7 Aug 2026, 04:334,424+5
6 Aug 2026, 06:014,419no change
6 Aug 2026, 05:534,419first reading

Engagement

20 posts held, back to 30 April 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 6 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
6.79%
avg views ÷ 4,415 subscribers
Avg views / post
300
8 posts measured
Reaction rate
5.92%
reactions ÷ views · ER floor
Posts in window
8
of 20 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
WindowRolling 30 days · latest post in window 7 August 2026
Posts held20 (30 April 20267 August 2026)
Views total2,398
Reactions total142
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 18:15 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
44s
Average length
44s

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

356 reactions across 17 posts, in 6 distinct kinds. The most used accounts for 36.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥13036.5%
10930.6%
👍8323.3%
custom 5222085915836437811123.37%
custom 5211216444531952671113.09%
custom 5213177951801071122113.09%

Custom emoji. 3 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.

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 20 of the 20 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 410reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 30 April 2026 to 7 August 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
9
across the posts below
Posts paid on
5
of 20 we hold a reading for · 25%
Most on one post
3
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @oganov_blog. 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 20 most recent posts we hold for this entry, published 30 April 2026 to 7 August 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.

Recent posts

7 Aug 2026, 14:10 UTC133 views9 reactionsread 8 August 2026
Photo

АГЕНТСТВА ВЫХОДЯТ НА РИНГ: ЧЬЯ РЕКЛАМА ДЛЯ ФИТНЕС-КЛУБОВ ПОБЕДИТ? 🔖11 августа приглашаю вас на бесплатную конференцию про рекламу для фитнес-клубов «Битва кейсов» На конференции я разберу живой кейс: как выйти на 300 лидов в месяц с Авито со средней стоимостью 400 руб на примере женского клуба йоги и танцев. Покажу, что конкретно сработало и как это можно повторить ➡️Формат конференции интересный: агентства выходя

🔥42👍2custom 52131779518010711221

7 Aug 2026, 07:55 UTC166 views18 reactionsread 8 August 2026
Forwarded from @brief_mediaPhoto

Большая команда — не единственный способ построить агентство Обычно диджитал-бизнес растёт линейно: стало больше клиентов → наняли новых сотрудников. Но есть и другой путь. Евгений Савенок, авитолог с восьмилетним опытом, создал «агентство одного человека» и сам ведёт 30–35 проектов одновременно (Снимаем шляпу). Подробно об этой модели Евгений рассказал в выпуске партнёрского подкаста «Брифа» и Максима Оганова «При

6🔥6👍5custom 52112164445319526711

6 Aug 2026, 15:30 UTC215 views30 reactionsread 8 August 2026
Photo

🤍 Инструмент для Авито Рекламы, который помог закрыть двух крупных клиентов Кто запускал трафик в Авито Рекламе для себя или клиентов, тот знает один из самых каверзных вопросов: «А что там по конкурентам?» :)) Чтобы не собирать информацию по крупицам, мы используем AviMaps. В сервисе можно найти объявления конкурентов в Авито Рекламе, посмотреть их креативы и пройти всю воронку до посадочной страницы. Нам это пом

10👍10🔥8custom 52131779518010711222

5 Aug 2026, 16:11 UTC246 views16 reactionsread 8 August 2026
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РАЗБОР КЕЙСА: ЦЕНА КАК У КОНКУРЕНТОВ, А ЗАЯВОК НЕТ 🤔 Недавно разбирали с клиентом одну ситуацию Объявление оформлено хорошо: фотографии свежие, описание актуальное, цена в рынке. Казалось бы, всё должно работать, но заявок практически нет Первая мысль, которая приходит почти каждому: «Наверное, не сезон», «Сейчас у всех так», «Нужно просто подождать» / но ждать мы не стали Открыли инструмент «Сравнение с конкурен

🔥93👍2custom 52131779518010711222

5 Aug 2026, 08:50 UTC231 views11 reactionsread 8 August 2026
Photo

20 Telegram-каналов для тех, кто работает в digital 🚀 Следить за десятками каналов, искать полезные материалы и отсеивать информационный шум: задача не из простых. Поэтому мы собрали в одну папку каналы, которые читаем сами и рекомендуем коллегам 👉🏻 Добавить папку: https://t.me/addlist/nDUfjU3IpQM3ZjU6 Что найдете внутри? ✔️ Авторские каналы маркетологов, SEO-специалистов, PR-экспертов, специалистов по платному тр

🔥43👍2custom 52112164445319526712

29 Jul 2026, 07:10 UTC430 views19 reactionsread 8 August 2026
Photo

⚡ Нейросети меняют диджитал маркетинг быстрее, чем большинство успевает перестроиться 📋 30 июля ежемесячная онлайн-конференция RecPlace «Актуальное сегодня: Диджитал». Новый формат, не типичный вебинар со слайдами и монологом спикера. Три модератора: Максим Оганов, Владимир Крамаров и Денис Дубовсков ведут подкаст в прямом эфире, разбирают каждое выступление, задают вопросы и вытаскивают самое полезное для внедрени

🔥85👍4custom 52112164445319526712

27 Jul 2026, 11:20 UTC421 views22 reactionsread 8 August 2026
Photo

Авито Реклама: что мешает получать дешёвый трафик? 29 июля в 14:00 мы вместе с Олегом Рыскиным проведем открытый вебинар, где подробно разберём Авито Рекламу и поговорим о том, как получать качественный трафик без лишних затрат Что разберём: • как готовить креативы при трафике на канал; • каким должен быть канал для высокой конверсии из клика в подписку; • как настроить кабинет Авито Рекламы, подобрать аудитории

9🔥7👍4custom 52131779518010711222

20 Jul 2026, 12:06 UTC556 views17 reactionsread 8 August 2026
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АВИТО ДЛЯ СТОМАТОЛОГИИ: КАК СИСТЕМНО ПРИВЛЕКАТЬ ПАЦИЕНТОВ И МАСШТАБИРОВАТЬ КЛИНИКУ 🦷 22 июля выступлю на онлайн-конференции «ЦЕНА УЛЫБКИ: маркетинг и бизнес» На конференции разберем, почему Авито перестал быть площадкой для «частных объявлений» и превратился в полноценный канал привлечения первичных пациентов для медицинского бизнеса. Покажем, как с помощью правильных инструментов выйти на предсказуемый поток запис

7🔥5👍4custom 52112164445319526711

14 Jul 2026, 16:04 UTC691 views31 reactions1 Starread 8 August 2026
Video

⚡️Обновляйся или уйди. Как не закрыть бизнес в 2026 году? Продолжаю снимать подкасты «Прибыльный Digital» — честные интервью о digital-бизнесе без показухи и успешного успеха. В этот раз — необычный выпуск в формате круглого стола. Вместе со Станиславом Солохиным, Антоном Власовым и Иваном Криволуцким откровенно обсуждаем, что сегодня происходит на рынке digital, почему агентства теряют прибыль, какие бизнес-модел

14👍8🔥5custom 52112164445319526712custom 52220859158364378112

7 Jul 2026, 12:09 UTC804 views45 reactions1 Starread 8 August 2026
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🎓 Обучение маркетингу в стиле трэп: как бывший прогульщик стал преподавателем РЭУ имени Плеханова Отгремели выпускные в вузах, и, подводя итоги прошедшего учебного года, я хочу поделиться с вами мини‑фильмом о моей преподавательской деятельности в университете. Когда я стал преподавателем РЭУ имени Плеханова, многие спрашивали: «Зачем тебе это вообще?». Ответ на этот вопрос решили найти... студенты. Они объедини

🔥23👍117custom 52112164445319526712custom 52220859158364378112

26 Jun 2026, 12:37 UTC≈1,130 views21 reactions2 Starsread 8 August 2026
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🎙 «Агентство одного человека». Авитолог Евгений Савенок Продолжаю снимать подкасты «Прибыльный Digital» — честные интервью о digital-бизнесе без показухи и успешного успеха. Новый выпуск — с Евгением Савенком, авитологом с 8-летним стажем, который построил «агентство одного человека». В этом подкасте: ▶️ Почему Евгений осознанно отказался от масштабирования и не нанимает больше 2 помощников ▶️ Как зарабатывать 7

🔥105👍5custom 52220859158364378111

19 Jun 2026, 10:05 UTC894 views15 reactionsread 8 August 2026
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⚡️ Нейросети забирают поиск. Старые воронки дорожают. Клиентов становится меньше В 2026 году у агентств всё меньше времени на эксперименты - нужны инструменты, которые работают прямо сейчас. 26–27 июня я участвую в онлайн-марафоне RecPlace для владельцев агентств, маркетологов и специалистов по продвижению. Два дня практики: заявки из нейросетей, новые источники клиентов, автоматизация контента, личный бренд и про

🔥64👍3custom 52131779518010711222

Showing the 12 most recent of 20 posts we hold for @oganov_blog. 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 — 12,836 of 1,480,688entries 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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 6 registered channels — 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.

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.

“Максим Оганов | Прибыльный digital” (@oganov_blog), 4,415 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/oganov_blog.

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.