Telegram RegisterThe public register of Telegram

Channel

IT Бизнес с Александром Окороковым RealCX

@RealCX

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

1,851subscribers

-3 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001228562957
TypeChannel
Username@RealCX
CreatedBetween 1 April 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/RealCX

Growth

1,8511,8541,852.56 August 2026 — 1,854 subscribers6 August 2026 — 1,854 subscribers9 August 2026 — 1,852 subscribers12 August 2026 — 1,851 subscribers6 August 202612 August 2026
4 measurements spanning 6 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 1,851–1,854 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 10:241,851-1
9 Aug 2026, 06:111,852-2
6 Aug 2026, 15:141,854no change
6 Aug 2026, 13:461,854first reading

Engagement

20 posts held, back to 4 March 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
4.21%
avg views ÷ 1,851 subscribers
Avg views / post
78.0
1 post measured
Reaction rate
2.56%
reactions ÷ views · ER floor
Posts in window
1
of 20 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
WindowRolling 30 days · latest post in window 6 August 2026
Posts held20 (4 March 20266 August 2026)
Views total78
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:25 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

152 reactions across 20 posts, in 13 distinct kinds. The most used accounts for 32.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥5032.9%
👍3825.0%
2113.8%
😁117.24%
🎉85.26%
🙏53.29%
🤔42.63%
❤‍🔥31.97%
💯31.97%
🤣31.97%
👏21.32%
🖕21.32%
😱21.32%

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 20 of the 20 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 152reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 4 March 2026 to 6 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

6 Aug 2026, 09:04 UTC78 views2 reactionsread 7 August 2026

Занятная история из жизни: Компания купила корпоративную подписку на ИИ, но доступные токены были стремительно сожраны. Стали разбираться почему - программисты стадии использовать ИИ в написании кода. Хитрый ИИ вместо кода и алгоритмов стал местами использовать обращение к ИИ для решения задачи. В итоге в промышленной эксплуатации код сам обращается к ИИ платформе в колоссальных масштабах. При этом стоимость эти

🔥1😁1

10 Jul 2026, 14:37 UTC255 views18 reactionsread 7 August 2026
Photo

Наш проект в Аэрофлот Вышел пресс-релиз и теперь об этом можно говорить открыто (а не «одна крупная компания» :) ). Теперь все опросы пассажиров Аэрофлот проводятся через нашу систему FeedBackTalk Я уже писал, что в моей компании ТехноИнтеллект мы разработали и запустили свой продукт - платформу управления клиентским опытом FeedBackTalk , а сейчас появилась возможность поделиться нашим ключевым проектом - внедрение

🔥13👍5

1 Jul 2026, 09:32 UTC265 views5 reactionsread 7 August 2026
Photo

Крутой пример нативной интеграции в офлайне :) правильный партизанский маркетинг

👍3🔥2

30 Jun 2026, 13:13 UTC252 views7 reactionsread 7 August 2026

Мое первое длинное видео про клиентский опыт. В выпуске буду говорить о клиентском опыте: что это такое, чем он отличается от клиентского сервиса и почему CX напрямую влияет на деньги бизнеса. Выпуск будет полезен всем, кто хочет превратить клиентский опыт из модного термина в реальный инструмент роста. Подписывайтесь, будет полезно и интересно!) https://youtu.be/NkY3N6H4IAY?si=OJMin52sPkFMmTPF https://rutube.ru

🔥7

24 Jun 2026, 10:29 UTC267 views2 reactionsread 7 August 2026
Photo

Интересный факт, отражающий тренды в экономике: Если раньше шоколад Аленка весил 90 грамм, а теперь 75 грамм. Цена и размер не изменились, поменялась форма плитки (в ней появились углубления) Важно что такое делает крупная компания, значит это не импульсивное решение, а осознанная стратегия построенная на исследованиях. Потребительское поведение в массовом сегменте под влиянием экономических факторов достигло неко

👍2

9 Jun 2026, 07:48 UTC335 views15 reactionsread 7 August 2026
Photo

Все что нужно знать о состоянии рынка инноваций в России

😁102👍2🔥1

1 Jun 2026, 10:58 UTC389 views4 reactionsread 7 August 2026

Одна из проблем социальных сетей, что предприниматели стали делать контент, вместо того чтобы делать бизнес.

👍3👏1

14 May 2026, 10:29 UTC485 views9 reactionsread 7 August 2026

Модный тренд - сокращать сотрудников, заменяя их ИИ. «Американский IT-гигант Oracle за месяц уволил 30 000 сотрудников — их заменила нейросеть, которую часть из уволенных сотрудников и обучала, пишет Time.» Только ленивый не обсуждал эту историю …. Почему она всех зацепила? Пока сокращали SMM специалистов, операторов контактных центров, младших юристов и прочих социально-гуманитарных специалистов технари смотрели

👍7👏1🔥1

28 Apr 2026, 08:52 UTC425 views5 reactionsread 7 August 2026

Посыпался рынок? За последние 2 недели столкнулся с тем, что 3 крепкие на вид небольших ИТ компаний (CRM, 1С), прямо «соль земли», ищут покупателей / инвесторов. Причем примерно за «ноль рублей», с целью сохранить бизнес и скинуть долги с акционеров. Это конечно еще не банкротства, а волны банкротств в российском ИТ еще не разу не было, но настораживающий предвестник. Особенно неприятно, что под удар попали компан

🤔2😱2👍1

24 Apr 2026, 10:49 UTC436 views5 reactionsread 7 August 2026

Клиентский опыт в налоговой на высоте! Сегодня ездил в налоговую превыпускать ЭЦП. С 1 апреля налоговая изменила требования к носителю ЭЦП и нужно ре ре выпустить ЭЦП и сделать это можно только в налоговой (в Москве это делает только одна налоговая - номер 46). Так вот в зале где оформляется ЭЦП стоит автомат, продающий носитель ЭЦП (на флешку похож) стоит 2250 руб. А у калитки в налоговую стоит мужик и с рук (!)

🔥3🤔2

17 Apr 2026, 06:03 UTC379 views6 reactionsread 7 August 2026

Запись моего вебинара «CRM + ИИ: от хайпа к реальной пользе» Проводили вебинар вместе с Александром Ивлевым - основателем и CEO компании AmberBPM. Мы вместе делали проект импортозамещения Oracle Siebel CRM на Amber в Фосагро. 🔥 О чем спич: • Как ИИ‑функции в CRM‑системах перестают быть «маркетингом» и становятся реальным инструментом; • ИИ возможности платформы AMBER BPM; • Как преодолеть барьеры и страхи сотрудн

👍6

15 Apr 2026, 07:46 UTC311 views9 reactionsread 7 August 2026

О ценности образования Какое образование нужно получать (давать детям)? На эту тему есть много теорий, приведу пример на основе своего опыта. В продолжении поста выше, мы заняли второе место по России в категории Bean2Bar шоколад. При этом мои профильные образования ИТ (первое), Менеджмент (второе) и Маркетинг (проф переподготовка). А у моей жены специальность Социология. Ну ладно, еще мы сертифицированные дегуст

👍62🔥1

Showing the 12 most recent of 20 posts we hold for @RealCX. 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 — 568,278 of 1,176,251entries 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.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Republishes

Channels on the register whose posts this channel has forwarded.

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.

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.

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

“IT Бизнес с Александром Окороковым RealCX” (@RealCX), 1,851 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/RealCX.

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.