Telegram RegisterThe public register of Telegram

Channel

ProБизнес

@proerina

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

1,817subscribers

+0 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001729559199
TypeChannel
Username@proerina
DescriptionАрхитектор агентского бизнеса в страховании. Лидерство • AI • цифровые инструменты • рост продаж. Создатель клуба предпринимателей «Вершина». Здесь: кейсы, схемы, разборы и решения для сильных агентских сетей.
CreatedBetween 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 August 2026
Measurements held2
On Telegramt.me/proerina

Growth

1,8177 Aug 2026, 07:57 — 1,817 subscribers7 Aug 2026, 08:00 — 1,817 subscribers7 Aug 2026, 07:577 Aug 2026, 08:00
2 measurements taken within a single day. 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 1,815–1,819 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
7 Aug 2026, 08:001,817no change
7 Aug 2026, 07:571,817first reading

Engagement

7 posts held, back to 25 July 2026the 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 · 30 days
3.11%
avg views ÷ 1,817 subscribers
Avg views / post
56.6
7 posts measured
Reaction rate
11.7%
reactions ÷ views · ER floor
Posts in window
7
of 7 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. It is computed over the 6 of 7 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held7 (25 July 20267 August 2026)
Views total396
Reactions total45
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:28 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
793
Videos
214
Links
122

Lifetime counters from Telegram’s own channel header, read 7 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.

Reaction mix

45 reactions across 6 posts, in 6 distinct kinds. The most used accounts for 51.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥2351.1%
❤‍🔥817.8%
715.6%
🍾48.89%
🕊24.44%
🥰12.22%

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 6 of the 7 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 45reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 7 most recent posts we hold, published 25 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.

Recent posts

7 Aug 2026, 14:02 UTC10 viewsread 7 August 2026
Photo

Как мечта собственника превращается в план роста😵‍💫 Стратегическая сессия нужна не ради красивого документа, который после встречи отправят в папку и больше не откроют. Её ценность – в ясности. Собственник понимает, за счёт чего компания будет расти. Руководители видят свои задачи и ответственность. У команды появляется общий маршрут, а у планов сроки и конкретные действия. Именно такую работу мы провели с Олегом

5 Aug 2026, 13:55 UTC26 views4 reactionsread 7 August 2026
Photo

7 вопросов, которые я задаю себе каждую неделю⭐️ В бизнесе легко провести всю неделю в делах, созвонах и срочных задачах, а в пятницу понять, что до главного так и не дошли. Поэтому раз в неделю я останавливаюсь и проверяю: — что дало результат — где мы потеряли время или деньги — какие решения я откладываю и не держится ли слишком многое на мне Собрала семь вопросов, которыми пользуюсь сама. Отвечать лучше конкре

🔥21❤‍🔥1

3 Aug 2026, 16:35 UTC44 views8 reactionsread 7 August 2026
Photo

Можно точно знать, что нужно изменить в бизнесе, и месяцами ничего не менять😏 Не потому, что собственник ленится или не понимает очевидных вещей. Просто параллельно нужно управлять командой, решать срочные вопросы, контролировать деньги, продажи и обязательства перед клиентами. ~ В итоге идея внедрить CRM остаётся в списке задач ~ Поиск сильного руководителя постоянно переносится ~ Регламенты существуют в голове,

3🔥3❤‍🔥2

31 Jul 2026, 14:20 UTC62 views7 reactionsread 7 August 2026
Photo

Не вся бизнес-литература стоит вашего времени👇🏻 Между встречами у меня редко бывает свободное время. Но если дорога занимает 15–20 минут, почти всегда включаю подкаст или аудиокнигу. Когда времени больше, открываю книгу, до которой долго не доходили руки. 🚗Именно в дороге нередко появляется мысль, которая позже превращается в решение для проекта, сложного разговора или управленческой задачи. Собрала в карусели кни

🔥5❤‍🔥1🥰1

29 Jul 2026, 16:34 UTC77 views9 reactionsread 7 August 2026
Photo

Минус 6 млн за 10 месяцев. На окупаемость — за 2,5🔥 В моём управлении было девять проектов онлайн-университета «Синергия». Задача — пересобрать стратегию убыточных направлений и вывести их в плюс. Большая часть работы осталась под NDA, но одним кейсом могу поделиться. Это Школа моделей «Синергия» и модельное агентство — проект в сфере онлайн-обучения и работы с рекламодателями по всему миру. На старте: — проекту

🔥6❤‍🔥21

27 Jul 2026, 16:31 UTC86 views8 reactionsread 7 August 2026
Voice message

Разговор, после которого изменился весь проект🤫 В одном из проектов мне пришлось сказать собственнику то, что он меньше всего хотел услышать. Проблема была уже не в рынке, не в продажах и не в команде. 🙎‍♂️Главным ограничением роста стал он сам и та роль, которую продолжал занимать в компании. Через некоторое время предприниматель принял это решение. Мы пересобрали систему управления, перераспределили ответственн

🍾4🕊21🔥1

25 Jul 2026, 11:50 UTC91 views9 reactionsread 7 August 2026
Photo

Предприниматель пришёл с запросом на отдел продаж↘️ Но после диагностики стало понятно, что если просто добавить новых клиентов, компания получит больше оборота — и ещё больше управленческого хаоса. 🔥Уже в первый месяц работы оборот вырос на 25%. В карусели показываю, что именно мы нашли внутри бизнеса и какие решения приняли. А где сейчас находится самое узкое место у вас: в продажах, финансах, процессах или упра

🔥6❤‍🔥21

Showing the 7 most recent of 7 posts we hold for @proerina. 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 — 226,028 of 1,169,250entries 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 3 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.

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 7 August 2026 — this entry's latest reading, not the date you are reading this.

“ProБизнес” (@proerina), 1,817 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/proerina.

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.