Marketing & affiliate — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 9 August 2026 and assigned it the closest of 31 fixed categories, at 92% 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
9 measurements spanning 7 days, net -2,665. 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 147,522–150,987 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 12:55
147,922
-559
13 Aug 2026, 05:34
148,481
-698
12 Aug 2026, 06:42
149,179
-1,084
11 Aug 2026, 04:36
150,263
-146
10 Aug 2026, 04:27
150,409
-74
9 Aug 2026, 03:51
150,483
-93
8 Aug 2026, 01:37
150,576
-11
7 Aug 2026, 19:45
150,587
no change
7 Aug 2026, 19:34
150,587
first reading
Engagement
32 posts held, back to 4 August 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 20 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
13.5%
avg views ÷ 147,922 subscribers
Avg views / post
20,000
32 posts measured
Reaction rate
0.988%
reactions ÷ views · ER floor
Posts in window
32
of 32 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 14 August 2026
Posts held
32 (4 August 2026 – 14 August 2026)
Views total
641,000
Reactions total
6,330
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
15 Aug 2026, 07:08 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
139
Videos
80
Links
194
Lifetime counters from Telegram’s own channel header, read 15 August 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.
Video runtime
8m 58s
Average length
34s
Measured directly from 16 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
6,330 reactions across 32 posts, in 6 distinct kinds. The most used accounts for 29.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
1,890
29.9%
🏆
1,568
24.8%
🎉
1,430
22.6%
👍
1,292
20.4%
⚡
148
2.34%
🗿
2
0.032%
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 32 of the 32 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 6,330reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 32 most recent posts we hold, published 4 August 2026 to 14 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.
В России построили точную копию дома Калленов!
Такой попросили сделать фанаты «Сумерек» у ростовского архитектурного бюро. За полтора года им возвели настоящий вампирский дом в посёлке под Ростовом, с зимним садом и огромными окнами.
Вот это подготовка к сезону хоа-хоа-хоа 🍂
Маркетолог в тренде
Крупнейшая торговая сеть Tesco вместе с BBH London запустила кампанию, в которой бонусы клубной карты превращаются в горы реальных товаров.
Надувные матрасы, зонтики, декорации — всё построено вручную, без постпродакшена.
📌 У полумиллиона держателей Clubcard лежат неиспользованные бонусы минимум на £100. Бренд решил показать, насколько много приятных вещей можно получить, условно, бесплатно.
Хороший повод проверит…
Surf Coffee выкатил имбу — кокосовый аффогато прямо в кокосе. Но только в Турции.
В соцсетях кофеманы из России злятся на варщиков и срочно ждут такую же новинку на родине.
значит в турции Surf дропает это, а дома - на нах ТОМАТНЫЙ ДРАФТ
А нам?
вы че творите, а на родине такое сделать??!!
Surf Coffee, исправляйтесь 🔪
Маркетолог в тренде
Российское игристое получило золото в Бразилии
«Абрау-Дюрсо» вошло в число золотых медалистов международного конкурса Brazil Wine Challenge 2026. В слепой дегустации участвовали 1127 образцов из 19 стран. О результатах российских виноделов написал Forbes.
В России тем временем расширилась коллекция «Русского игристого». В ней появились два розовых варианта: брют и полусладкое.
У брюта свежий вкус и ягодный аромат с м…
Московский бутик женской одежды выпустил чехлы для людей.
Такие помогают спастись от дождей, зарядивших в столице. А заодно позволяют не намочить новые гламурные вещички.
Нишево🐱
Маркетолог в тренде
Adidas заколлабился с Disney и пропнул культовый силуэт Spezial в расцветке под Рапунцель.
Фиолетовый замш, розовые акценты, эластичная шнуровка, принцесса на язычке — вайб на уровне.
Педали для настоящих принцесс 😃
Маркетолог в тренде
ЧЕГОО: Drake передал привет Мелстрою на вчерашнем стриме. Он решил раскидать шарауты своим братьям-стримерам — и среди нескольких громких имён там оказался… Андрюха из Гомеля.
Конечно, выплаченный ранее миллион долларов за подписку на это не повлиял 😂😂😂
Маркетолог в тренде
📶 Pizza Hut в Эквадоре развернула Wi‑Fi‑рекламу: люди переименовывали свои домашние сети в Pizza Hut + имя, а взамен получали бесплатную пиццу.
Так обычные роутеры превратились в мини‑борды, которые видит каждый, кто открывает список доступных сетей.
На случай, если листовки перестанут работать 🧠
Маркетолог в тренде
🕷 Выход новой части человека паука дал плодородную почву мастеру по потолкам из Дагестана для рекламного ролика
Хороший пример уместного и забавного применения ИИ в рекламе.
Маркетолог в тренде
🎉132👍127🏆52
Showing the 12 most recent of 32 posts we hold for @marketvtrende. 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.
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 14 August 2026 — this
entry's latest reading, not the date you are reading this.
“Маркетолог в тренде” (@marketvtrende), 147,922 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/marketvtrende.
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.