4 measurements spanning 8 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 73–76 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Aug 2026, 18:14
73
-2
9 Aug 2026, 21:16
75
no change
8 Aug 2026, 10:09
75
-1
7 Aug 2026, 10:01
76
first reading
Engagement
19 posts held, back to 10 October 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
50.2%
avg views ÷ 73 subscribers
Avg views / post
36.7
3 posts measured
Reaction rate
5.45%
reactions ÷ views · ER floor
Posts in window
3
of 19 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 5 August 2026
Posts held
19 (10 October 2025 – 5 August 2026)
Views total
110
Reactions total
6
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
9 Aug 2026, 21:16 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.
Reaction mix
68 reactions across 19 posts, in 7 distinct kinds. The most used accounts for 41.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
28
41.2%
❤
16
23.5%
👍
14
20.6%
👏
6
8.82%
🥰
2
2.94%
😁
1
1.47%
😱
1
1.47%
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 19 of the 19 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 68reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 10 October 2025 to 5 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.
Advertising
Ad load
5.26%
1 of 19 posts carry an ad marker
Regulatory tokens
0
none — marked by hashtag only
Median views · ads
87.0
over 1 measured post
Median views · rest
120
over 18 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor.A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Measured over the 19 most recent posts we hold, published 10 October 2025 to 5 August 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Бесплатный канал продвижения, который вы игнорируете (а зря!)
А вы думали о еще одном важном канале коммуникации с клиентом, который при этом практически ничего не стоит?
Посмотрите на этот замечательный пример во Франции: лавка мясника. На упаковку нанесено вообще всё — название, контакты, даже места работы по неделям. Вся необходимая информация всегда перед глазами.
А на второй картинке — коробка из обычной було…
Один документ, который может прекратить войну между маркетингом и продажами
Я завершила курс Revenue Operations от HubSpot Academy, успешно прошла сертификацию и хочу поделиться одной идеей о взаимодействии маркетинга и продаж — SLA (Service Level Agreement), соглашении о внутреннем обслуживании.
Это внутренний документ, в котором маркетинг и продажи договариваются, что именно будет считаться эффективной работой ка…
СИЛЬНЫЙ КОНТЕНТ приводит КАЧЕСТВЕННЫЕ ЛИДЫ
СЛАБЫЙ КОНТЕНТ— НЕКАЧЕСТВЕННЫЕ
Эта мысль кажется слишком простой. Но именно ее игнорируют многие компании.
Контент — это не про охваты, это фильтр.
Каждый пост, статья, кейс или вебинар отвечает на вопрос: кого мы хотим привлечь?
Если вы публикуете только общие советы, чек-листы "5 трендов" и новости отрасли, не удивляйтесь, что к вам приходят люди, которые ищут бесплатны…
Спросила ИИ, что делать, чтобы преуспеть в маркетинге в ближайшие 10 лет. Вот ответ, что думаете?
1. Hard Skills: Data Literacy и AI-интеграция
Владение нейросетями — это уже база, а не преимущество. Важно, как вы их используете для масштабирования результата.
Data-Driven Decision Making: Умение работать с большими данными (SQL, продвинутая аналитика в GA4/Amplitude, основы Python для автоматизации маркетинговых от…
Наблюдаю интересный тренд: в виду того, что вайбкодить стало легко, продуктов создается много, то более важная задача сейчас — это продвижение созданного. За последнее время увидела несколько сообщений от фаундеров о важности именно привлечения ЦА.
Новая эпоха в жизни маркетологов настала 😊 #маркетинг #продвижение
Недавно провела менторскую сессию с коллегой-маркетологом, единственной женщиной в мужской команде, которая поделилась ощущением «теряешься за столом». Мы обсудили инструменты, которые помогают сохранять уверенность. Делюсь ссылкой на мои мысли по этом поводу
Пятница.
Куча информации и полный информационный перегруз 🤯
На этой неделе пришлось обрабатывать огромное количество разрозненных данных и тезисов. Работаем над GTM технического продукта, и мозг к концу недели просит пощады.
И я снова поймала себя на старом вопросе: как разгружать голову?
Когда-то я вязала. В какой-то период мне даже хотелось просто мыть посуду — монотонные действия отлично выключают лишние мысли.
…
В прошлом году Sostav School пригласили меня создать курс «Контент-маркетинг в IT: от стратегии к продажам».
Я делала его не про «как писать посты», а про другое:
как выстроить контент так, чтобы он работал на бизнес — доверие, лиды, продажи, удержание.
В курсе:
• как связать контент со стратегией и воронкой, а не делать его «ради присутствия»
• как работать с аудиторией IT-продуктов: B2B и B2C
• какие форматы реал…
Почему маркетологу надо перестать быть производителем бессмысленных материалов, а стать коммуникатором и архитектором контента.
В мире контент-маркетинга происходят серьезные изменения. Алгоритмы больше не гарантируют успех, а привычные метрики теряют смысл. Количество сетевого контента выросло до беспрецедентного уровня, но вовлеченность, доверие и внимание аудитории стремительно снижаются. Маркетологи, привыкшие и…
Блог HubSpot является практически золотым стандартом в плане содержания и продвижения компании через контент. Вот здесь бесплатно компания делится своими секретами. Можно еще и сертификат получить
В РАСО вхожу в Комитет по международному сотрудничеству. Классные проекты с классными коллегами по цеху! ❤️
#РАСО
🔥4👍1👏1
Showing the 12 most recent of 19 posts we hold for @d_akchura. 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
Citation-graph rank — 1,145,276 of 1,481,306entries 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.
Mentions
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.
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.
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 15 August 2026 — this
entry's latest reading, not the date you are reading this.
“Без Бюджета в Маркетинге” (@d_akchura), 73 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/d_akchura.
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.