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Channel

Фадеевщина | ffad.ru

@ffadru

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

26,129subscribers

+271 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001449546489
TypeChannel
Username@ffadru
Descriptionhttps://ffad.ru/ — Миша Фадееы о рекламе и маркетинге Контакты: Михаил Фадеев https://cli.co/fadeev_contacts @FridmanM РКН: https://cli.co/ffad_rkn
Created1 April 2019measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/ffadru

Growth

25,85526,14325,9996 August 2026 — 25,858 subscribers6 August 2026 — 25,858 subscribers6 August 2026 — 25,863 subscribers7 August 2026 — 25,855 subscribers8 August 2026 — 26,129 subscribers9 August 2026 — 26,126 subscribers10 August 2026 — 26,142 subscribers11 August 2026 — 26,143 subscribers12 August 2026 — 26,129 subscribers26,1296 August 202612 August 2026
9 measurements spanning 7 days, net +271. 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 25,812–26,186 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 14:0326,129-14
11 Aug 2026, 10:5226,143+1
10 Aug 2026, 13:5126,142+16
9 Aug 2026, 11:5126,126-3
8 Aug 2026, 12:4726,129+274
7 Aug 2026, 11:2125,855-8
6 Aug 2026, 14:4125,863+5
6 Aug 2026, 02:0225,858no change
6 Aug 2026, 00:5225,858first reading

Engagement

18 posts held, back to 21 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 17 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
5.72%
avg views ÷ 26,129 subscribers
Avg views / post
1,490
18 posts measured
Reaction rate
1.74%
reactions ÷ views · ER floor
Posts in window
18
of 18 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 12 August 2026
Posts held18 (21 July 202612 August 2026)
Views total26,888
Reactions total468
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 22:14 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

Photos
593
Videos
104
Links
1,910

Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Reaction mix

441 reactions across 17 posts, in 18 distinct kinds. The most used accounts for 28.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍12528.3%
11626.3%
🔥10724.3%
💯306.80%
🤝276.12%
👏92.04%
😁71.59%
🤔40.907%
🏆30.68%
🤡30.68%
👀20.454%
💩20.454%
🆒10.227%
👎10.227%
🖕10.227%
🤣10.227%
🤨10.227%
🤮10.227%

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 18 of the 18 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 468reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 21 July 2026 to 12 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
1
across the posts below
Posts paid on
1
of 18 we hold a reading for · 6%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ffadru. 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 18 most recent posts we hold for this entry, published 21 July 2026 to 12 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

12 Aug 2026, 10:43 UTC813 views38 reactionsread 12 August 2026
Photo

Печальная новость. Консультации Фадееы станут дороже Граждане предприниматели, у меня тут наметилась некоторая засада. Со временем и ресурсами. Поясню – что я имею в виду, и что из этой засады следует. Как я не раз рассказывал, случается мне проводить платные индивидуальные консультации для бизнесменов. Хотя я и не очень люблю этим заниматься. Оно сильно отвлекает от основной деятельности – полноценных, масштабных

14🤝10🔥7👍5🖕1🤡1

10 Aug 2026, 10:43 UTC≈1,130 views28 reactionsread 12 August 2026
Photo

Новая статья на FFAD.ru. Про карманных клиентских Евлампиев, определяющих эффективность рекламных кампании Фадееы Иногда случается так, что мы, например, делаем для клиента мощную, жирную, продуманную, крутую во всех смыслах креативную стратегию. Или маркетинговую концепцию. Или просто вводные. Короче говоря, ключевой документ, в котором подробно описываем позиционирование продукта и поясняем, с помощью каких «крича

🔥206👍1💩1

9 Aug 2026, 03:34 UTC≈1,540 views54 reactionsread 12 August 2026
Forwarded from @nikolai_miachin

Больше всего аудитории мне принесли видео, под которыми было больше всего хейта. Знаете, почему? Кто громче всех кричит и возмущается - не покупает. Покупают молчуны. Но чтобы дотянуться до сотни тысяч молчунов, надо зацепить миллион крикливых.

🔥29💯17👍5🏆3

7 Aug 2026, 10:43 UTC≈2,180 views18 reactionsread 12 August 2026
Photo

Новая гостевая статья на FFAD.ru. Бизнес-фокус: как превратить три маленьких отдельных продукта в большую роскошную кучу навоза Уважаемые, сегодня анонсирую весьма любопытный гостевой пост на FFAD.ru. Его написала прекрасная дама по имени Ирина, несколько лет проработавшая штатным автором текстов в моем агентстве. Затем Ирина занялась другими делами – в том числе озвучиванием разного рода видеоконтента. В какой-то

10🔥6😁1🆒1

5 Aug 2026, 14:10 UTC≈2,000 views29 reactionsread 12 August 2026
Forwarded from @temalebedev

Премиальность Слово "премиальный" означает буквально "с добавленной стоимостью", "с доплаченной премией". Только премию платят не нам, а мы. Остается загадкой, почему люди предпочитают "премиальное обслуживание" (то есть, более дорогое), а не "улучшенное обслуживание" (то есть, более хорошее).

👍18🔥7🤔4

5 Aug 2026, 10:43 UTC≈2,220 views51 reactionsread 12 August 2026
Photo

Прекрасное, просто прекрасное обращение поймал на днях от клиента – см. скриншот выше. Прекрасное оно потому, что иллюстрирует сразу три важнейших тезиса, которые красной нитью проходят через массу моих постов и статей последних лет. Момент номер раз. Клиент впервые увидел меня ваще в лохматые времена – более трех лет назад! Но ему (клиенту) тогда не нужны были маркетинговые услуги, а сейчас вот – понадобились. И он

👍24🔥169👀1🤣1

3 Aug 2026, 10:47 UTC≈1,630 views39 reactionsread 12 August 2026

⬆️ТАМ НАЧАЛО И СЕРЕДИНА⬆️ Во-вторых, чтобы мой и без того невысокий ER упал… еще ниже. И, как следствие, рекламодатели стали шарахаться от моего блога как от прокаженного. На всякий случай: шарахаться не стали, реклама у меня выходит регулярно. А для моего бизнеса – агентства Фадееы – параметр ER вообще никакого значения не имеет. Подписчики-предприниматели ведь из-за накрутки никуда не исчезли – они как читали молч

18💯13🤝8

3 Aug 2026, 10:45 UTC≈1,250 views11 reactionsread 12 August 2026

⬆️ТАМ НАЧАЛО⬆️ Но – ближе к делу. На канале у меня в результате всех вышеозначенных действий собирается не абы какая аудитория, а в основном состоящая из предпринимателей, владельцев бизнесов, топ-менеджеров, маркетологов, ищущих новые методы эффективной рекламы. Читают они меня по нескольким причинам. Кто-то присматривается ко мне как к специалисту, раздумывая над тем, чтобы заказать мои маркетологические услуги (п

5👍4😁2

3 Aug 2026, 10:43 UTC≈1,620 views13 reactionsread 12 August 2026
Photo

О физических явлениях, которые ВСЕГДА стоят за цифрами, или Почему в ТГ-канале Фадеева так мало реакций/комментов – и это абсолютно нормально Недавно у меня выходил пост об оценке эффективности размещений в ТГ-каналах (в качестве примера был взят Тёма Лебедев). Там я рассказывал, что мерить эффективность того или иного ТГ-канала, выступающего в качестве рекламной площадки, по стоимости подписчика, которого ты с не

10👍3

31 Jul 2026, 10:42 UTC≈1,680 views32 reactionsread 12 August 2026
Photo

Новая статья на FFAD.ru. Лидогенерация: почему инфоцыганский подход к лидам — это сектантский дроч и нежизнеспособная метода в современном практическом маркетинге Инфоцыганская зараза проникает в умы людей похлеще всяких паразитов! Курс, другой, разбор, интенсив ещё сверху — и всё, пропал человек! Заговорил страшными словами: зона роста, прокачка… перелидоз… Оп-па, а это уже что-то знакомое! Не просто шизофреническ

👍197🔥5👏1

29 Jul 2026, 10:43 UTC≈1,790 views30 reactionsread 12 August 2026
Photo

Об очередной попытке дожарить Фадеева, которая НЕ оказалась успешной из-за тотальной тупизны зумера-незумера Рубрика «Недожаренный Фадееы» снова в эфире! В ее рамках я публикую веселые тупые истории о том, как разные зумеры и незумеры с мышлением зумеров регулярно пытаются продать мне услуги, но делают это настолько кривожопо, что... получают в ответ луч справедливого текстово-голосового поноса. А затем и минуту сла

12👍8🔥4😁4👀1🤡1

Showing the 12 most recent of 18 posts we hold for @ffadru. 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.

Citation-graph rank

Citation-graph rank — 97,335 of 1,151,006entries 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.

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 9 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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“Фадеевщина | ffad.ru” (@ffadru), 26,129 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/ffadru.

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.