Канал читают собственники, маркетологи, менеджеры по продажам, копирайтеры. Делимся приемами и фишками, которые повышают продажи и эффективность маркетинга.
Автор @kotdm Дмитрий Кот директ агентства "Убедительный Маркетинг" https://mastertext.ru/
Created
Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
Marketing & affiliate — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 72% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
Growth
61 measurements spanning 93 days, net -333. 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 10,111–10,555 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)
Subscribers
Change
7 Nov 2026, 15:15
10,171
-2
6 Nov 2026, 14:05
10,173
-2
5 Nov 2026, 14:20
10,175
-4
4 Nov 2026, 15:15
10,179
-3
3 Nov 2026, 16:56
10,182
-4
2 Nov 2026, 16:50
10,186
-3
1 Nov 2026, 18:51
10,189
-9
31 Oct 2026, 15:57
10,198
-2
30 Oct 2026, 17:44
10,200
-4
29 Oct 2026, 16:05
10,204
-3
28 Oct 2026, 16:08
10,207
-1
27 Oct 2026, 16:56
10,208
-1
26 Oct 2026, 17:35
10,209
-2
25 Oct 2026, 15:49
10,211
+6
24 Oct 2026, 18:37
10,205
+3
23 Oct 2026, 16:44
10,202
+1
22 Oct 2026, 19:57
10,201
+33
21 Oct 2026, 13:01
10,168
+4
20 Oct 2026, 12:18
10,164
+2
19 Oct 2026, 08:46
10,162
first reading
Engagement
60 posts held, back to 1 July 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 48 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.93%
avg views ÷ 10,171 subscribers
Avg views / post
603
22 posts measured
Reaction rate
2.47%
reactions ÷ views · ER floor
Posts in window
22
of 60 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 7 November 2026
Posts held
60 (1 July 2026 – 7 November 2026)
Views total
13,259
Reactions total
327
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Nov 2026, 21:56 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
581
Videos
50
Links
657
Lifetime counters from Telegram’s own channel header, read 7 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
862 reactions across 58 posts, in 3 distinct kinds. The most used accounts for 41.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
356
41.3%
👍
254
29.5%
❤
252
29.2%
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 59 of the 60 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 880 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 60 most recent posts we hold, published 1 July 2026 to 7 November 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 60 we hold a reading for · 2%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @marketingforever. 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 60 most recent posts we hold for this entry, published 1 July 2026 to 7 November 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
Telegram’s own ‘edited’ marker: 1 of 22 posts held from the last 30 days (4.55%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
А вы подписаны на меня в ВК?
В ВК у меня активное сообщество. Мы в комментариях спорим, обсуждаем, ссоримся и миримся. Присоединяйтесь :)
➖ В канале Вконтакте, где я дублирую посты
➖ В сообществе Вконтакте я тепло общаюсь с подписчиками и жарко обсуждаю темы
Давайте оставаться на связи. Мне действительно дорого Ваше внимание.
Знакомая работает в роддоме и рассказала, как они перестраиваются под зумеров. Я был приятно шокирован.
🔥Мамочка-зумер не расстается со смартфоном. Там вся ее жизнь. Использует разные приложения для беременных, например, схваткосчиталку. А еще мамочки пилят контент из роддома каждую минуту: ведут эфиры, пилят рилисы-сторис и все такое. Персонал это понимает… ну, или принимает без понимания.
☄️Зумеры обладают нулево…
От создателей:
– Чтобы похудеть, нужно меньше есть
– Чтобы быть богатым, нужно не быть бедным
Наткнулся на рилс, который набрал миллион просмотров. В нем совет, как получить от нейросети тексты без ИИ-признаков.
Нужно дать ИИшке ссылку на статью в Википедии, где собраны признаки нейротекста. И написать «так не пиши».
С вас 5 тыщ.
Поступили вопросы по мастер-классу ИИ-копирайтинг: конструктор продающих текстов. Давайте разбираться, в чем его особенность.
«Это будет матер-класс по промптам?»
Нет. Промпты — это верхушка. На этом мастер-классе мы разбираем схемы: как выстроить текст, чтобы он продавал и как эту структуру описать нейросети. Без такого подхода нейросеть выдает посты в режиме лотереи.
«Я давно использую ИИ для написания постов. В …
Вы знаете, сколько заявок приносит ваш сайт! А теперь посчитайте, сколько клиентов вы не получаете 👍
Не важно, за что вы платите. За показы или клики. Роли не играет, какие связки наработал таргетолог. Важна конверсия. Какая она?
Конверсия в заказ составляет 1%, 10% или даже 20%. Круто! А где остальные 80-90% целевых посетителей, за которых вы заплатили? Они уходят, а вы теряете деньги и не получаете заказы.
Пред…
Войны брендов. Вы такое любите. Coca-Cola высмеяла Pepsi на фоне беспорядков в Европе. Но Pepsi ответили с юмором.
P.S.
Это создано ИИ. Автор неизвестен. Но гениально.
☄️Парочка новостей из мира нейросетей, актуальных для маркетологов и копирайтеров!
В соцсетях пишут, что у Perplexity проблемы с финансированием. Она заметно хуже работает в последнее время. Наткнулся на пост с жалобами на качество информации от этого комбайна.
Ну, а Дипсик тонко (очень даже толсто) коспелит Клода. Результат на картинке.
А вы что подметили? Какие у вас новости?
Видели, как приветствуют в аэропорту Архангельска?
Сообщают, что это не Астрахань 😊 Ну, это же круто!
Ждем продолжения от Краснодара и Красноярска, от Самары и Саратова.
Повышение продаж на 1% — это много или мало?
Сколько вы получите, если пост даст на 1% больше продаж? Например, при 1000 просмотров это новых 10 заявок. Добиться таких результатов несложно. Нужно четче прописывать преимущества и убедительнее раскрывать выгоды.
Этим мы и займемся на моем мастер-классе ИИ-копирайтинг: конструктор продающих текстов. Вы поймёте, как описывать контекст, как задавать структуру. Вы получит…
🔆Приглашаю на позитивную зарядку
Придумайте себе девиз на сегодня, который продолжается словами …невзирая на кризис.
➖Я делаю вид, что всё под контролем, невзирая на кризис
➖Я надену лучшее платье и пойду гулять, невзирая на мороз и кризис
➖Я заведу себе хомяка для позитива, невзирая на кризис
➖Я буду мечтать о Мальдивах ещё усерднее, невзирая на кризис
Ваша очередь. Поехалиииииии
У вашего товара есть такие преимущества, о которых вы даже не догадываетесь
А что если не копировать формулировку преимущества, которая была придумана 5 лет назад. Придумайте другие заходы и поищите новые крючки у ЦА.
Нужно просто разрешить себе это сделать. Один раз. Написать пост, в котором старые преимущества поданы другими словами, и оценить реакцию подписчиков.
А затем повторить. :)
Видели стиралку с ИИшкой? Как она выкрутится, если не отстирает пятно? )
С января этого года я провожу мастер-классы по подготовке текстов с нейросетями.
За 10 месяцев это обучение прошли более 500 человек. Предприниматели со всех концов страны и из различных сфер: от пищевой промышленности до пошива одежды. Все крутые, все такие разные. Я смотрел на тексты участников и видел схожую ситуацию.
Человек все сделал по…
❤2
Showing the 12 most recent of 60 posts we hold for @marketingforever. 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.
Mentions
Named by 2 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.
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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
SMM с Дамиром Халиловым @damirkhalilov · 23,107 Telegram ranks this channel #16 of 91 here — alongside 90 others — read 18 September 2026
Карты, тексты, два ствола @remingtonist · 26,906 Telegram ranks this channel #19 of 95 here — alongside 94 others — read 11 September 2026
Инструменты маркетолога @profit_maker · 45,431 Telegram ranks this channel #19 of 96 here — alongside 95 others — read 27 August 2026
Продавец овец | Переговоры @Prodavec_peregovory · 35,589 Telegram ranks this channel #21 of 88 here — alongside 87 others — read 31 August 2026
Регулярный менеджмент для руководителей (Евгений Севастьянов) @regularmanagement · 22,733 Telegram ranks this channel #27 of 96 here — alongside 95 others — read 19 September 2026
Румянцев Рулит @drumyanzev · 22,167 Telegram ranks this channel #30 of 92 here — alongside 91 others — read 20 September 2026
Пиши Касука @pishi_kasuka · 26,297 Telegram ranks this channel #30 of 95 here — alongside 94 others — read 12 September 2026
Маркетинг. Александра Гуреева @alexandra_gureeva · 21,313 Telegram ranks this channel #39 of 89 here — alongside 88 others — read 23 September 2026
Молянов @molyanov_blog · 31,055 Telegram ranks this channel #39 of 98 here — alongside 97 others — read 8 September 2026
Редакция Рыба @ryba_team · 20,250 Telegram ranks this channel #42 of 96 here — alongside 95 others — read 30 September 2026
99 франков. Маркетинг @marketolog_marketing · 80,750 Telegram ranks this channel #43 of 95 here — alongside 94 others — read 18 August 2026
Сергей Нагорный | Маркетинг и Нейросети @gora_academy · 19,899 Telegram ranks this channel #44 of 87 here — alongside 86 others — read 3 October 2026
Подруга маркетолог (Маргарита Захарова) @marketing_dir · 36,395 Telegram ranks this channel #47 of 92 here — alongside 91 others — read 4 September 2026
Света Афанасьева @engageforsales · 28,427 Telegram ranks this channel #48 of 88 here — alongside 87 others — read 9 September 2026
Саша Чижов @blogsmm · 38,264 Telegram ranks this channel #48 of 97 here — alongside 96 others — read 31 August 2026
Миша, давай по новой @misha_davai_po_novoi · 19,105 Telegram ranks this channel #49 of 95 here — alongside 94 others — read 4 October 2026
Академики Картавенко. Лечение 100 болезней @doktora_kartavenko · 30,282 Telegram ranks this channel #53 of 78 here — alongside 77 others — read 7 September 2026
Промт дня (Приручаем ChatGPT, Midjourney и другие нейросети) @ai2smm · 59,214 Telegram ranks this channel #53 of 95 here — alongside 94 others — read 22 August 2026
Вакансии для копирайтеров @copywriter_vacancies · 30,276 Telegram ranks this channel #65 of 97 here — alongside 96 others — read 8 September 2026
Вредный корректор @julia_v_redcor · 20,002 Telegram ranks this channel #71 of 93 here — alongside 92 others — read 29 September 2026
Текстодром: копирайтер, переводчик, редактор, журналист, сммщик и пиарщик, UX-писатель @textodromo · 31,658 Telegram ranks this channel #71 of 98 here — alongside 97 others — read 6 September 2026
Редактируем зп | Вакансии для копирайтеров @edit_zp · 21,437 Telegram ranks this channel #77 of 96 here — alongside 95 others — read 23 September 2026
Копирайтер, редактор — удаленная работа @self_ma · 33,647 Telegram ranks this channel #91 of 97 here — alongside 96 others — read 4 September 2026
This channel appears in 23 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 7 November 2026 — this
entry's latest reading, not the date you are reading this.
“Дмитрий Кот и его Маркетинг Продающий” (@marketingforever), 10,171 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/marketingforever.
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.