Channel
@mtsprotg
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
7,390subscribers
+24 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1002078033376 |
|---|---|
| Type | Channel |
| Username | @mtsprotg |
| Created | Between 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/mtsprotg |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 11:28 | 7,390 | +25 |
| 8 Aug 2026, 03:31 | 7,365 | -1 |
| 7 Aug 2026, 05:32 | 7,366 | first reading |
15 posts held, back to 16 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 11 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 12 August 2026 |
|---|---|
| Posts held | 15 (16 July 2026 – 12 August 2026) |
| Views total | 10,560 |
| Reactions total | 216 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 17:32 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.
216 reactions across 15 posts, in 11 distinct kinds. The most used accounts for 31.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 68 | 31.5% | |
| 🔥 | 58 | 26.9% | |
| 👍 | 30 | 13.9% | |
| 💅 | 16 | 7.41% | |
| 🐳 | 10 | 4.63% | |
| 👏 | 9 | 4.17% | |
| 😁 | 8 | 3.70% | |
| 😍 | 6 | 2.78% | |
| 👌 | 5 | 2.31% | |
| ⚡ | 3 | 1.39% | |
| 🥰 | 3 | 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 15 of the 15 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 216reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 16 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.
Большой экран забирает всё больше внимания рекламодателей 📺 МТС Ads Premium (входит в МТС AdTech) подвёл итоги первого полугодия 2026 года и зафиксировал заметный рост интереса к CTV-инвентарю. Особенно прибавил «Онлайн ТВ»: количество рекламных кампаний увеличилось на 43%, а их средняя стоимость выросла на 90%. Ещё немного статистики в CTV-размещениях: ➡️ общее количество рекламных кампаний в МТС Ads Premium выро…
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Posted without readable text
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А что, если главная ошибка Одиссея была не в маршруте, а в таргетинге? С хорошей командой, возможно, он добрался бы до Итаки гораздо раньше. Мы решили проверить эту гипотезу и запустить для героя рекламную кампанию с сегментами Big Data МТС. А объявление о наборе попросили написать ИИ Маркетолога. Результат оцениваем в карточках ⚓️
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Новые лидеры роста в CPA-маркетинге ⚡️ Раньше показатели эффективности модели оплаты за результат держались на e-commerce, финтехе и телекоме. Но в 2026 году на первый план вырвались фешен и DIY. «Расширение числа категорий рекламодателей в CPA стало следствием взросления рынка инфлюенс-маркетинга. Благодаря высокому доверию аудитории к рекомендациям блогеров и развитию онлайн-торговли модель оплаты за результат ст…
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Как ускорить запуск рекламных кампаний? МТС DSP знает решение: на платформе появился Валидатор креативов. Обновление проверяет рекламные материалы на соответствие техническим требованиям платформы ещё до загрузки в рекламный кабинет. Загружать можно креативы в форматах HTML, PNG, JPEG, видео, а также баннеры с внешним кодом. Для каждого файла валидатор покажет превью и результат проверки: всё в порядке или найдены …
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In-Stream Overlay — новый формат монетизации от Buzzoola (входит в МТС AdTech) Новая точка взаимодействия с пользователем, которая органично дополняет привычные пре-, мид- и построллы. In-Stream Overlay - это баннер 728×90 px, который размещается в нижней части видеоплеера прямо во время воспроизведения контента. Видео продолжает идти без паузы, а реклама остается в поле зрения пользователя Преимущества формата: 🔴C…
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Согласно древней суздальской легенде, этот оберег собирает весь негатив, маринует и переводит в рассол. Чтобы оберег подействовал, нужно сохранить себе и отправить броллеге, действуем ⚡️
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Posted without readable text
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По нашему нескромному мнению, рассылка по своей базе — один из самых недооцененных инструментов маркетинга ⚡️ При грамотном подходе такие рассылки помогают возвращать клиентов и увеличивать продажи без дополнительных затрат на привлечение. В новом подкасте собрали выжимку с вебинара «От диалога к выручке: как сделать так, чтобы клиенты платили чаще». Разбираем типы рассылок, объясняем, когда использовать каждую из…
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Пришёл. Увидел. Купил ⚡️ Так выглядит путь пользователя, когда видеореклама становится интерактивной. ➡️ В новом кейсе показываем, как Shoppable Ads помогли достичь 96% досмотров и увеличить время контакта с брендом до 45 секунд.
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Главный тренд сезона — эффективные Telegram Ads 💅 12STOREEZ вместе с МТС Ads и MGCom превратили Telegram в управляемый канал роста: стоимость привлечения подписчика снизилась на 41%, а аудитория канала выросла на 11 тысяч. ➡️ Как этого удалось добиться с помощью Big Data МТС, тестирования форматов и постоянной оптимизации, рассказываем в новом кейсе. Мы в MAX | VK
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Big Data energy 🚀Тот самый случай, когда большие данные работают на большие результаты. Вместе с Metro запустили медийную кампанию. Цель — повысить знание бренда, сформировать намерение к покупке и привлечь в магазины новую аудиторию. Для этого использовали платформу МТС DSP, таргетинги на основе Big Data МТС и короткие видеоролики в формате in-stream. Результаты: ➡️ продажи выросли на 5,7 п. п.; ➡️ количество тран…
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Showing the 12 most recent of 15 posts we hold for @mtsprotg. 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 — 208,276 of 1,340,412entries 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 1 registered channel — 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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“Маркетолог про МТС Ads” (@mtsprotg), 7,390 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/mtsprotg.
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.