Channel
@copywritingMur
On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry
2,406subscribers
-4 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001974183829 |
|---|---|
| Type | Channel |
| Username | @copywritingMur |
| Created | Between 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 11 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 11 August 2026 |
| On Telegram | t.me/copywritingMur |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 22:22 | 2,406 | -109 |
| 9 Aug 2026, 06:43 | 2,515 | +105 |
| 6 Aug 2026, 05:37 | 2,410 | no change |
| 6 Aug 2026, 03:17 | 2,410 | first reading |
22 posts held, back to 22 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 2 pagesof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 22 (22 July 2026 – 7 August 2026) |
| Views total | 13,241 |
| Reactions total | 387 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 16:35 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.
Measured directly from 2 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.
360 reactions across 20 posts, in 9 distinct kinds. The most used accounts for 31.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤🔥 | 113 | 31.4% | |
| 🫡 | 86 | 23.9% | |
| 🐳 | 61 | 16.9% | |
| 🦄 | 35 | 9.72% | |
| 🌚 | 28 | 7.78% | |
| 🗿 | 16 | 4.44% | |
| 🤮 | 11 | 3.06% | |
| 🌭 | 5 | 1.39% | |
| 💩 | 5 | 1.39% |
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 22 of the 22 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 387reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 22 most recent posts we hold, published 22 July 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @copywritingMur. 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 22 most recent posts we hold for this entry, published 22 July 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.
Опять Павликов что-то наплел Эфир с @potok_ads Когда 11 августа в 13:00 Кто такой Павликов? Для меня, кстати, это тоже вопрос, который я хотел озвучить на самом эфире. Это экстрапопулярный маркетингоый блогер. Я ставлю его в один ряд с Полуяновой, Маркетварью, Ткачуком, Марзагановым и Бескромным. Вот только про Павликова я почти ничего не знаю. То есть, я знаю, что он есть все это время, вот и все. Когда я спроси…
❤🔥7🫡2🦄1
Кстати, а нет такого, что альфа-самец звучит уже не так круто, потому что ты понимаешь, что ему до 17 лет?
❤🔥5🌚1
Так, чото захотелось собрать все эфиры в одном месте: → Витя Рындин ака Вожу Рукой ака фаундер WeMakeFab и Dprofile → Мартин ака вотправда founder Whale Studio → Молянов ака Молянов, фаундер Сделаем, Нейроцеха → Кечкин ака Кечкин, фаундер Ава, Аватур, Природник, Шарага и тд → Ульяна ака ех СЕО Аномалии. (почему-то не нашел запись, странно) А вот как я веду эфирчики в Гречке: → За этот год → За прошлый год Чо…
🐳5❤🔥4🫡3🌚1🌭1🗿1🦄1
Я кстати последние две недели активно борюсь со своим образом жизни. Каждый день пытаюсь тренить. То на пробежку выйду, то на турнички, то лфк для колена сделаю. Списался с кентом, с которым не виделся 7 лет и чото импульсно он меня на бокс позвал, а я и пошел. Купил перчи, уже аж на 2 тренировочки сходил. Мясо полное, конечно, ахах Я вообще забыл про такие нагрузки, когда футболку после тренировки буквально выжима…
🐳9❤🔥4
Синьорский путь ниндзя Когда я только пришел в контент → мне хотелось приносить лиды, результаты и тд. Очень быстро я понял, что то, что должно было работать по моему мнению → вообще не работает. А, что мне казалось провальным → приносило результат. Пример: Я работал в аутсорсинговой бухгалтерии. Это когда компания оказывается бухгалтерский учет, а не Тетя Зина. Как вы понимаете главным конкурентом была имменно Те…
❤🔥2🐳2
Тогда я еще работал в Утопии и стал вести корп канал, как будто это мой. Это произвело фурор → были те, кому нравилось, были те кто считал залупой, но равнодушных особо не было. Вот две эти ветки я решил развивать: микробрендмедиа с более живым лицом и конференции. Когда я закончил работу с Утопиией, то ушел дальше в свободное плавание качать два этих направления. Микробрендмедиа: сладенькие вакансии, сладенькие ва…
❤🔥12🦄5🫡3🌭1🤮1
А я вам говорю, что вайбкодинг это болезнь
❤🔥14🗿4🦄2
Господи, как же сгорела жопа щас буду жостко матерится, ругаться и пиздеть на кого-то. Если вам такое не нрав → не читайте дальше. Короч, я наконец добрался до влога Гребенюка → https://youtu.be/ZqPs9d2P83M Бля, ну это ахуенно просто. В целом реалити по созданию бизнеса от инфобизеров → это классика и определенный этап. Ничо гениального, но пиздатый продакшн, приятно смотреть, куча энергии, куча желание чото пойти…
🦄6💩3
Гребенюк представитель малого бизнеса, который решил рискнуть и залезть в премиальный бизнес. У него другой опыт и другой стиль ведения бизнеса. Он всегда был как операционный управленец, а тут у него задача типа не лезть и быть стратегом. Это психологически трудно. Люди годами занимаются микроменеджментом, называя себя стратегами. Я работал в компании, которую так развалили. Короче, дофига причин почему он может сов…
❤🔥4💩1
Вообще задумался последнее время про зависимость и независимость от своей аудитории. Готовился тут к одному эфиру и увидел прикольный топик, что когда ты блогер → ты зависишь от своей аудитории и в какой-то момент попадаешь в ловушку власти. Типа я пишу условный пост, после которого в комментах начинаютсяч срачки и такой ууууу, смотрите какой я крутой маркетолог, вот как я круто могу управлять людьми. Лайки, охваты,…
🫡6❤🔥4🦄4🌭2
Я когда вам говорю про независимость, то вы конечно же понимайте, что это не на 100%. Очевидно, я все равно заивисм в какой-то мере. Очевидно, что мне обидно когда становится меньше лайков, неприятно, когда пост никто не комментит, когда мой контент не откликается. Но просто я стал охотиться за ним на несколько порядком меньше. Так шо если раньше я дрочил на 30-50 комментов под каждым своим постом, то сейчас понимаю…
❤🔥9🐳6🫡3🌭1🦄1
Зацените, чо Сега делает. Я чото даже не думал о таком. Он за 50к продает месяц вот такой вот рекламки на обоях у себя в канале Капец вроде бы очевидная, но прикольная идея. Вроде и внимания много привлекает, и подписичкам особо не мешает и негатива не должна вызывать, и денег нормально приносит Весьма и весьма, конечно. То же что ли что-то такое продать у себя?
🐳7🌚3🗿3💩1🫡1
Showing the 12 most recent of 22 posts we hold for @copywritingMur. 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 — 23,563 of 1,160,990entries 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.
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.
Named by 20 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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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 11 August 2026 — this entry's latest reading, not the date you are reading this.
“Сладенький редактор” (@copywritingMur), 2,406 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/copywritingMur.
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.