4 measurements spanning 17 days. 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 72–73 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
25 Aug 2026, 02:28
73
+1
17 Aug 2026, 10:18
72
-1
9 Aug 2026, 22:31
73
no change
7 Aug 2026, 23:05
73
first reading
Engagement
11 posts held, back to 11 May 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 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
41.1%
avg views ÷ 73 subscribers
Avg views / post
30.0
1 post measured
Reaction rate
16.7%
reactions ÷ views · ER floor
Posts in window
1
of 11 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
11 (11 May 2026 – 5 August 2026)
Views total
30
Reactions total
5
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
9 Aug 2026, 22:31 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
115 reactions across 11 posts, in 9 distinct kinds. The most used accounts for 45.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
52
45.2%
👍
28
24.3%
🔥
14
12.2%
👎
12
10.4%
😁
3
2.61%
🥱
3
2.61%
💯
1
0.87%
🙏
1
0.87%
🤣
1
0.87%
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 11 of the 11 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 115reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 11 most recent posts we hold, published 11 May 2026 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.
Telegram Stars
Stars received
4
across the posts below
Posts paid on
1
of 11 we hold a reading for · 9%
Most on one post
4
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @procontente. 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 11 most recent posts we hold for this entry, published 11 May 2026 to 5 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.
ПМС — это лучшая метафора того, почему нельзя оценивать результат по одному действию
Никто не толстеет от одной шоколадки 🧿
И никто не становится известным / богатым после одной публикации. Все решает накопительный эффект.
Именно поэтому PR — это десятки правильных касаний, игра в долгую, которая однажды складывается в рабочую репутацию и окупается с процентами.
Я очень извиняюсь, по теме поста вы можете понять, …
👆🏼
Перестань воспринимать маркетинг как бизнес-задачу.
По факту ты просто перестаёшь прятаться и позволяешь своему делу занять место в мире, которое оно заслуживает 🤍
Сегодня на созвоне обсуждала с клиенткой смысл вести блог на сайт.
Забавно получать такие инсайты из коммуникации с кем-либо :) короче, делюсь, вам тоже будет полезно
Многие думают, что вести блог компании = публиковать свои рабочие кейсы.
WRONG 🙅🏻♀️
В первую очередь, блог помогает привлекать новую аудиторию и удерживать ее через объяснение ваших ценностей, принципов и взглядов в рабочих процессах.
Пример:
Пре…
КАК БРЕНДЫ ЗАЛЕЗАЮТ В ВАШ МОЗГ ЧЕРЕЗ НЕЙРОМАРКЕТИНГ
Рынок нейромаркетинга уже перевалил за 1,7 миллиарда долларов и растёт на 8-9% в год. Straits Research
Ваш мозг предсказуемее, чем вам хотелось бы думать. Нейромаркетинг — это когда бренды перестают верить словам потребителей и начинают смотреть, что происходит в их голове.
🧠 Заглядываем внутрь
Бренды используют айтрекинг, ЭЭГ, сканирование мозга: смотрят, что це…
Я сегодня про кайфовый кейс рассказываю. Люблю все, что касается анализа и раскопок))
Когда чем глубже в проблему закопаешься, тем интереснее причины находишь
Есть такой тип проигрыша в бизнесе, называется цена бездействия
Когда ты не занял свое место на рынке репутации и клиенты тебя не выбрали просто потому что не вспомнили ☹️
Мне кажется, самое обидное, когда тебя не позвали на вечеринку не потому что ты неприятный, а потому что организатор просто забыл, что ты существуешь.
В бизнесе примерно так и работает. При поиске подрядчика у клиента в голове уже есть три-четыр…
Увидела сегодня на Reddit термин «silent burnout». Коварная штука, потому что она не выглядит как классическое выгорание.
Ты не лежишь пластом, не удаляешь соцсети, не орешь: «Я больше так не могу». Ты продолжаешь работать, искать новых клиентов, делать контент, что угодно. Но при этом внутри как бы пропадает вера, что твои усилия имеют смысл. Я с этой штукой столкнулась в конце 2025 и от многих знакомых слышала, в…
ПОКА ВСЕ НОЮТ ПРО ДОРОГИЕ ЛИДЫ, МЫ ЗАБИРАЕМ КЛИЕНТОВ ЧЕРЕЗ SEO-КОНТЕНТ йо
Сейчас у бизнеса в РФ очень дорогой трафик:
💸 CPL растёт
💸 CAC растёт
💸 ROMI грустит в углу
💸 отдел продаж орёт, что лиды мусор
Особенно в b2b, недвижимости, айтишке. При этом компании продолжают действовать по старой схеме: «Надо больше рекламы богу рекламы».
Люди устали от рекламы, они не покупают сложные услуги с одного касания, — они ид…
Почему одни получают от 200 тысяч за проект, а ты — 50?
Чек-лист для тех, кто застрял на уровне консультанта, но хочет вырасти в партнера бизнеса, чтобы получать проекты покруче и подороже 🫰
❤6👍3😁2
Showing the 11 most recent of 11 posts we hold for @procontente. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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 25 August 2026 — this
entry's latest reading, not the date you are reading this.
“CONTÉNTE | пиар и личный бренд” (@procontente), 73 subscribers as measured 25 August 2026. Telegram Register, tgregister.com/channel/procontente.
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.