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 10 September 2026 and assigned it the closest of 31 fixed categories, at 56% 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 why it has no browse page of its own yet.
Growth
33 measurements spanning 49 days, net -3. 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 20,804–21,037 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
25 Sept 2026, 11:38
20,882
-29
18 Sept 2026, 20:57
20,911
+54
16 Sept 2026, 10:20
20,857
+26
14 Sept 2026, 16:38
20,831
-10
13 Sept 2026, 05:21
20,841
-11
11 Sept 2026, 08:59
20,852
-35
8 Sept 2026, 14:39
20,887
-29
5 Sept 2026, 09:37
20,916
-7
3 Sept 2026, 12:17
20,923
-9
2 Sept 2026, 06:33
20,932
-12
1 Sept 2026, 07:39
20,944
-9
31 Aug 2026, 09:53
20,953
-12
30 Aug 2026, 12:18
20,965
-4
29 Aug 2026, 12:15
20,969
-11
28 Aug 2026, 14:33
20,980
-9
27 Aug 2026, 15:33
20,989
+5
26 Aug 2026, 14:43
20,984
-12
25 Aug 2026, 12:22
20,996
-9
22 Aug 2026, 23:03
21,005
+6
21 Aug 2026, 09:23
20,999
first reading
Engagement
38 posts held, back to 29 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 27 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 38 posts for this entry, the most recent from 17 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
25m 21s
Average length
2m 07s
Measured directly from 12 videos 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
789 reactions across 30 posts, in 10 distinct kinds. The most used accounts for 39.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
309
39.2%
🔥
270
34.2%
😁
82
10.4%
🤩
47
5.96%
✍
37
4.69%
🤝
21
2.66%
🙈
9
1.14%
🤓
7
0.887%
😍
5
0.634%
💔
2
0.253%
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 30 of the 38 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 789 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 38 most recent posts we hold, published 29 July 2026 to 17 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 37 we hold a reading for · 3%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @nikitamargiela. 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 38 most recent posts we hold for this entry, published 29 July 2026 to 17 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.
Разбор ролика из поста выше я сделал уроком на 10 минут 😁
Традиционно - транскрибация почитать тут
Ролик на сценарии потребления. Самая мощная техника для сферы услуг.
Это ролик, в котором вы показываете работу с клиентом. Но не просто кейс, результат или до-после, а через определенные триггеры.
Весь хребет, всю структуру разобрал в видео. Вышел урок больше 10 минут. А здесь добавлю, для чего этот навык и куда ещ…
Рилс дня сегодня такой, сейчас будет тренажер маркетингового мышления
Ниша - бьюти
Мастер колорист
6 млн просмотров и 10 тыс комментариев
Посмотрите, и теперь вопрос
Бизнес и блоги, с которыми я работал на консультациях в июле-августе - по спросу и запросу можно подсмотреть, что на рынке происходит 👌🏻
🖤 Частная клиника в Казахстане
🖤 СММ специалист - продвижение себя и разбор работы с клиентами
🤍 Магазины корейской косметики
🖤 Личный блог эзотерик таролог
🖤 Сеть магазинов косметики с миллиардным оборотом - конкуренты ЗЯ
🖤 Пространство красоты волос
🖤 Мастер массажа и психолог в…
традиционно для удобства даю конспект и текстовую расшифровку тут
и резюмирую подход:
• работа с маркетингом сейчас - сценарии потребления в которых человек узнает себя + путь клиента (контент на 3 уровня уровня (от ленты рекомендаций и холодного касания до удержания внимания и до целевого действия) и дальнейший путь (оффер, конверсия в переходы на него - сайт, менеджер и тд, инструменты стимуляции переходов)
• по…
Большая ошибка в стратегиях и планах от маркетологов, за которые много платят
Вышел мини урок на 9 минут
Основная тема - работа с целевой аудиторией - как с ее анализом выходит на практику, чтобы понять что снять, какой оффер дать, чтобы покупали
А не остаться с красивой презентацией
На примере бренда премиальных косметичек с моей консультации, обзор выше
Вот моя любимая проблема в проектах – когда наворотили маркетологи красивых слов в презентациях за дорого, а как это реализовывать и куда с этим идти непонятно.
Консультировал бренд премиальных косметичек!
Пришли после работы с маркетологами, консультаций с другими специалистами.
И файл мне показали со стратегией! Хочу даже подкаст записать с разбором большой ошибки таких стратегий для вас. Если будут реакции, зап…
Самая большая глупость брендов – это постоянно стремиться привлекать новых клиентов.
Все попытки построить маркетинговую стратегию, нанять СММщика, бесконечно снимать контент – все для того, чтобы делать продажи.
Хотя в реальности до 70% прибыли для большинства проектов кроется в возвратности клиента.
И на поверхности это вопрос работы с клиентской базой.
Но можно копнуть глубже.
И вот три показателя, которые сто…
Дал ребятам прием геймификации на сайт - придумал креатив.
Сделали быстро! И уже продажи! Горжусь 🤌🏻
За одну консультацию тут разобрали и
• контент матрицу, чтобы стать медиа, а не копировать тренды
• какие конкретно форматы выбрать и как делать быстрее/легче
• креатив для сайта, пути клиента и в офлайн точке
Вам тоже так можно, тык ⏬
как записаться на консультацию
Что случилось через неделю после консультации - работал с ювелирным брендом. Помните, показывал кусочек?
Прилетело сообщение ⚡️
Showing the 12 most recent of 38 posts we hold for @nikitamargiela. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Так может казаться, но у разных салонов разная бизнес модель40%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 38 most recent posts we hold, published 29 July 2026 to 17 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
STRIPLAB @striplab · 1,522 (as read 25 September 2026)#56
Read from Telegram’s recommendation API, most recently 25 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Бойкий Шухрат @BoykiyM · 21,648 Telegram ranks this channel #16 of 63 here — alongside 62 others — read 23 September 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list 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 25 September 2026 — this
entry's latest reading, not the date you are reading this.
“ГЕНИАЛЬНЫЙ МАРКЕТИНГ НИКИТА МАРЖЕЛА” (@nikitamargiela), 20,882 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/nikitamargiela.
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.