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Channel

Марина Вострикова про бизнес и сервис

@bizservis

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry

7,765subscribers

-100 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001181329420
TypeChannel
Username@bizservis
DescriptionКарьерные консультации, менторинг сотрудников и компаний по Customer Experience/Support/Success: AI, оптимизация, отток, сервисная стратегия, продажи. Запись на консультацию: @tigerms @bizservisjob Обучение и консалтинг: https://nochurn.ru/
Created25 September 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live7 November 2026
Measurements held23
Confirmed unchanged1 time, most recently 7 November 2026
On Telegramt.me/bizservis

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 47% 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 the other topics.

Growth

7,7557,8657,8106 August 2026 — 7,865 subscribers6 August 2026 — 7,865 subscribers12 August 2026 — 7,854 subscribers16 August 2026 — 7,850 subscribers19 August 2026 — 7,825 subscribers23 August 2026 — 7,828 subscribers26 August 2026 — 7,825 subscribers29 August 2026 — 7,823 subscribers2 September 2026 — 7,821 subscribers6 September 2026 — 7,812 subscribers11 September 2026 — 7,810 subscribers14 September 2026 — 7,804 subscribers25 September 2026 — 7,794 subscribers4 October 2026 — 7,779 subscribers11 October 2026 — 7,771 subscribers14 October 2026 — 7,767 subscribers17 October 2026 — 7,768 subscribers20 October 2026 — 7,773 subscribers23 October 2026 — 7,760 subscribers26 October 2026 — 7,762 subscribers29 October 2026 — 7,757 subscribers4 November 2026 — 7,755 subscribers7 November 2026 — 7,765 subscribers7,7656 August 20267 November 2026
23 measurements spanning 93 days, net -100. 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 7,739–7,882 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 23
Measured (UTC)SubscribersChange
7 Nov 2026, 12:487,765+10
4 Nov 2026, 03:397,755-2
29 Oct 2026, 04:587,757-5
26 Oct 2026, 13:397,762+2
23 Oct 2026, 11:077,760-13
20 Oct 2026, 14:287,773+5
17 Oct 2026, 12:477,768+1
14 Oct 2026, 21:377,767-4
11 Oct 2026, 04:587,771-8
4 Oct 2026, 20:417,779-15
25 Sept 2026, 02:217,794-10
14 Sept 2026, 22:217,804-6
11 Sept 2026, 08:387,810-2
6 Sept 2026, 10:387,812-9
2 Sept 2026, 07:357,821-2
29 Aug 2026, 23:087,823-2
26 Aug 2026, 20:067,825-3
23 Aug 2026, 15:067,828+3
19 Aug 2026, 19:257,825-25
16 Aug 2026, 14:247,850first reading

Engagement

38 posts held, back to 6 June 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 30 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
8.38%
avg views ÷ 7,765 subscribers
Avg views / post
651
9 posts measured
Reaction rate
3.04%
reactions ÷ views · ER floor
Posts in window
9
of 38 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 8 of 9 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 November 2026
Posts held38 (6 June 2026 – 7 November 2026)
Views total5,859
Reactions total157
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Nov 2026, 01:13 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
319
Videos
4
Links
335

Lifetime counters from Telegram’s own channel header, read 8 November 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

697 reactions across 34 posts, in 10 distinct kinds. The most used accounts for 47.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤33347.8%
🔥17725.4%
👍14120.2%
👌233.30%
🦄91.29%
🤗50.717%
💔30.43%
👎20.287%
🤔20.287%
🥱20.287%

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 34 of the 38 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 697 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 38 most recent posts we hold, published 6 June 2026 to 7 November 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

Telegram’s own ‘edited’ marker: 4 of 9 posts held from the last 30 days (44.4%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

7 Nov 2026, 14:37 UTC263 views16 reactionsread 8 November 2026
Photo

Как AI возвращает руководителю CS полную картину происходящего с клиентами 12 ноября, 18:00 МСК, онлайн. Где клиент теряет доверие, почему не покупает снова и какие обещания остаются невыполненными? Руководитель часто узнаёт об этом слишком поздно. Разберём, как с помощью AI объединить продажи и Customer Success в один клиентский контур: • собирать обращения из разных каналов и замечать проблемы заранее; • анализ…

🔥10👍4👌2

Signed Марина Вострикова

6 Nov 2026, 14:24 UTC397 views17 reactionsread 8 November 2026
Photo

Customer Success Conf 2026! Продукт. Метрики. ИИ. Никогда такого не было, и вот опять 🙂 Мы готовим нашу ежегодную онлайн-конференцию по Customer Success. И это уже третья по счёту! 📅 3 декабря 2026 | онлайн | участие бесплатное В этом году идём глубже и опираемся на главные тренды индустрии: ▪️Продукт. Customer Success всё теснее работает с продуктом, а в продуктовых командах уже появляются CS-роли. Разберёмся,…

🔥15❤2

Signed Марина Вострикова

4 Nov 2026, 21:11 UTC526 views41 reactionsread 8 November 2026

Начните отсюда Привет! Я Марина Вострикова. Больше 20 лет в клиентском сервисе, продажах и аккаунтинге, была директором по клиентскому сервису в Битрикс24. Сейчас вместе с Аней Амброзевич делаю nochurn.ru — обучение и консалтинг по Customer Success. Здесь пишу для руководителей поддержки и Customer Success: как строить отдел, ставить цели, считать метрики, работать с командой и удерживать клиентов. Метрики и ценно…

❤27🔥8👍3🦄2🥱1

Signed Марина Вострикова

3 Nov 2026, 09:04 UTC642 views9 reactionsread 8 November 2026

Как за год изменились ожидания B2B-клиентов от сервиса С этой темой 25 ноября выступлю на форуме «B2B-СЕРВИС 2026». Я вижу эти изменения и в своих проектах, и в запросах, с которыми приходят руководители сервиса. Скорость ответа и вежливость клиенты сейчас воспринимают как базовый уровень, за них уже не благодарят. ИИ на первой линии появился у большинства компаний, но довести внедрение до результата получается у …

👍5❤4

Signed Марина Вострикова

28 Oct 2026, 13:52 UTC803 views23 reactionsread 8 November 2026

Собрались как-то директор по цифровой трансформации, Agile-коуч и growth-хакер Да, звучит как начало анекдота, про корпоративные невозможности. Мне на консультациях приносят много разных ролей для обсуждения или финалов поиска кандидатов. В последнее время среди них активно появились запросы на AI-трансформаторов. Это лиды, которые как волшебные единороги должны поменять примерно всё. На днях говорила с HR одной к…

❤10👍6🔥5👌1👎1

Signed Марина Вострикова

21 Oct 2026, 06:51 UTC826 views15 reactionsread 8 November 2026

Концепция долга доверия: как оценивать реальный вклад AI в клиентский сервис У исследователей Alibaba⁠ вышла интересная работа о том, как вмешательство человека влияет на результаты клиентского сервиса с использованием AI. 647 сотрудников поддержки, более 680 тысяч диалогов. Они изучали ограниченную автоматизацию: только 5,8% обращений потенциально могли обрабатываться AI, а не о полностью автономную поддержку. 1.…

❤9🔥4🦄2

Signed Марина Вострикова

20 Oct 2026, 06:14 UTC695 viewsread 8 November 2026
Photo

Продажи видят заказ. Маркетинг — реакцию на рассылки. Сервис — обращения в поддержку. Но полной картины не видит никто... Только 23% компаний выстраивают единый клиентский опыт во всех каналах. Остальные 77% теряют время, деньги и лояльность покупателей на стыках разных сервисов ☝️ 29 октября RetailCRM проводит закрытый ивент — на нём ведущие эксперты екома расскажут, как объединить продажи, маркетинг и сервис в е…

Signed Марина Вострикова

13 Oct 2026, 15:31 UTC914 views32 reactionsread 8 November 2026

Почему теперь еще важнее держать контекст Мир AI подсветил нам в том числе очень интересный человеческий аспект. Когда вы разговариваете с моделью, не работаете с памятью и не учите её сохранять важные данные, каждый новый чат - это практически обнуление. Новая задача, ноль контекста. И человек может помочь модели стать умнее, загрузив в неё информацию об окружении, предыдущих решениях, ограничениях и связях. А те…

❤14🔥12👍6

Signed Марина Вострикова

13 Oct 2026, 13:32 UTC793 views4 reactionsread 8 November 2026
Photo

Новых клиентов все труднее и дороже добывать. Это, конечно, надо делать, но есть текущая клиентская база. Как получить из нее максимум прибыли? Мой товарищ Борис Шпирт, один из лучших спецов по b2b продажам и автор известной книги "Отчаянные Аккаунт-менеджеры" проведет открытый воркшоп "РАЗВИТИЕ КЛИЕНТОВ И ДОПРОДАЖИ В КРИЗИС" . На воркшопе будут разбираться вот такие вопросы: Как превратить разовых клиентов в п…

💔3🔥1

Signed Марина Вострикова

7 Oct 2026, 16:07 UTC933 views5 reactionsread 8 November 2026

Меньше двух недель до старта нового потока нашего курса по Customer Success. Старт - 19 октября Группа уже собралась очень интересная, и до старта осталось совсем немного времени. Мы с Аней Амброзевич проводим этот курс всего два раза в год. И одна из причин в том, что для нас важно сохранить его именно как системную программу, а не превратить в набор отдельных лекций и инструментов. Customer Success невозможно по…

❤3🔥2

Signed Марина Вострикова

30 Sept 2026, 06:07 UTC≈1,140 views41 reactionsread 8 November 2026

Отвязываем котов Мой бывший коллега Саша Вартанян напомнил притчу о том, как в буддийском храме во время молитвы кот мешал монаху. Чтобы кот не мешал, его стали привязывать. Потом умер монах, потом кот, а котов во время молитвы продолжали привязывать. Просто потому, что так повелось. Когда ты занимаешься менеджментом изменений, то, по сути, постоянно борешься с этим «так исторически сложилось». В системе есть устоя…

❤13👍10🔥10👌8

Signed Марина Вострикова

24 Sept 2026, 08:38 UTC990 viewsread 8 November 2026
Photo

Photo, posted without a caption

Signed Марина Вострикова

Showing the 12 most recent of 38 posts we hold for @bizservis. 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.

Posts edited after publishing

@bizservis edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
8 November 2026
Most recent edit
8 November 2026

Posts recorded as deleted after publishing

We recorded 2 posts on @bizservis as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
12 August 2026
Most recent seen missing
22 August 2026
Median time before seen missing
22 days
Seen missing in the last 30 days
0

Forward network

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 10 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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Регулярный менеджмент для руководителей (Евгений Севастьянов)
@regularmanagement · 22,733
Telegram ranks this channel #11 of 96 here — alongside 95 others — read 19 September 2026
Битрикс24 для бизнеса
@bitrix24_ru · 29,070
Telegram ranks this channel #21 of 97 here — alongside 96 others — read 8 September 2026
Гений переговоров | Ольга Грищенко
@kotperegovor · 42,826
Telegram ranks this channel #21 of 96 here — alongside 95 others — read 28 August 2026
Виталий Голицын
@VitalyGolitzyn · 26,744
Telegram ranks this channel #27 of 80 here — alongside 79 others — read 12 September 2026
Я — РУКОВОДИТЕЛЬ
@iRukovoditel · 30,944
Telegram ranks this channel #28 of 98 here — alongside 97 others — read 6 September 2026
Николай Хлебинский
@nikolay_khl · 23,446
Telegram ranks this channel #38 of 96 here — alongside 95 others — read 22 September 2026
Максим Батырев
@Maxim_Batyrev · 20,707
Telegram ranks this channel #47 of 94 here — alongside 93 others — read 26 September 2026
Игорь Рызов | Переговоры и продажи
@ryzov_igor · 46,625
Telegram ranks this channel #56 of 98 here — alongside 97 others — read 27 August 2026
Телеграмма от Максима Юрина
@yumaks · 42,946
Telegram ranks this channel #62 of 99 here — alongside 98 others — read 29 August 2026
Индекс дятла
@dindex · 22,235
Telegram ranks this channel #98 of 98 here — alongside 97 others — read 21 September 2026

This channel appears in 10 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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

“Марина Вострикова про бизнес и сервис” (@bizservis), 7,765 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/bizservis.

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.