Other / unclassifiable — 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 45% 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 why it has no browse page of its own yet.
Growth
13 measurements spanning 39 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 8,246–8,275 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Sept 2026, 13:15
8,268
+6
11 Sept 2026, 22:21
8,262
+13
7 Sept 2026, 16:15
8,249
-8
3 Sept 2026, 04:39
8,257
-5
30 Aug 2026, 14:44
8,262
-3
27 Aug 2026, 16:11
8,265
-4
24 Aug 2026, 10:37
8,269
-3
17 Aug 2026, 09:23
8,272
+3
13 Aug 2026, 13:37
8,269
+6
10 Aug 2026, 14:45
8,263
-3
7 Aug 2026, 09:10
8,266
+1
7 Aug 2026, 06:30
8,265
no change
7 Aug 2026, 06:26
8,265
first reading
Engagement
32 posts held, back to 16 July 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 21 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
11.8%
avg views ÷ 8,268 subscribers
Avg views / post
977
10 posts measured
Reaction rate
0.87%
reactions ÷ views · ER floor
Posts in window
10
of 32 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 28 August 2026
Posts held
32 (16 July 2026 – 28 August 2026)
Views total
9,774
Reactions total
85
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Aug 2026, 18:10 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
482 reactions across 32 posts, in 14 distinct kinds. The most used accounts for 23.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
115
23.9%
😁
109
22.6%
❤
93
19.3%
🔥
62
12.9%
💯
30
6.22%
🤯
18
3.73%
😢
17
3.53%
🤣
14
2.90%
👎
6
1.24%
👏
5
1.04%
🙈
5
1.04%
😇
3
0.622%
🤝
3
0.622%
🤨
2
0.415%
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 32 of the 32 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 482 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 32 most recent posts we hold, published 16 July 2026 to 28 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
9.38%
3 of 32 posts carry an ad marker
Regulatory tokens
3
posts carrying an erid · 3 distinct tokens
Median views · ads
1,500
over 3 measured posts
Median views · rest
1,420
over 29 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.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2W5zFHKkjKo
1
30 July 2026
30 July 2026
2W5zFHd2Nam
1
27 August 2026
27 August 2026
2W5zFHmsaph
1
21 July 2026
21 July 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 32 most recent posts we hold, published 16 July 2026 to 28 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.
Сегодня мемная пятница! А это значит пора обменяться мемами. В прошлый самый популярный мем был от Натальи👆
Спасибо за активность!)
Публикуй мемы в комментариях и голосуй за другие любой реакцией. Автор мема, который соберет больше всех реакций, получит от подписчиков признание и любовь!
Операционный директор — это не просто человек, который разгребает текучку. От него зависит, будет ли компания расти в масштабе и доходе или пополнит статистику закрывшихся бизнесов. Он контролирует буквально всё: бюджеты, выполнение KPI, сотрудников и их задачи.
В клиентском сервисе это особенно заметно: обращений становится больше, ожидания клиентов растут, ИИ уже внедряют почти все, но если процессы, данные, роли …
🗣«Никто ничего не контролировал и не считал»
Так часто описывают работу с клиентской базой изнутри:
привлечение дорожает год от года, повторных покупок больше не становится, а на совете директоров опять нужно объяснять, куда слили бюджет...
Как ритейлу на текущем рынке выстроить омниканальный маркетинг, повышать продажи и расти по выручке? 🤔
Никто не знает лучше, чем те, кто каждый день руководит процессами и сталк…
Исследование LinkedIn: Саморазвивающаяся AI-система клиентской поддержки
LinkedIn предложили отказаться от модели "один раз настроили чат-бота и периодически вручную его подкручиваем". Вместо этого они создали замкнутый цикл: AI-агент → поиск актуальных знаний → оценка качества ответа → автоматическое улучшение промпта → повторная проверка → безопасный запуск. В результате в A/B-тесте система заметно повысила долю о…
Исследование Gartner: 87% клиентов требуют возможность поговорить с человеком, даже если компания использует AI
Опрос проведен в феврале-марте 2-26 среди 3566 клиентов B2B- и B2C-компаний.
50% клиентов ответили, что взаимодействовать с компанией становится проще, когда она использует генеративный ИИ. Но 87% считают обязательным наличие возможности обратиться к сотруднику, если ИИ не справляется.
Если клиенту приход…
Сегодня мемная пятница! А это значит пора обменяться мемами. В прошлый самый популярный мем был от Глеба он👆
Спасибо за активность!)
Публикуй мемы в комментариях и голосуй за другие любой реакцией. Автор мема, который соберет больше всех реакций, получит от подписчиков признание и любовь!
Саммари интервью: TikTok Shop сократил время решения обращений на 150%, и дело не только в ИИ
Делюсь интересным, на мой взгляд, интервью с Суджитом Моханди - старшим менеджером CX-программ в TikTok.
TikTok Shop - это встроенная в TikTok платформа электронной коммерции, где пользователи могут находить товары прямо в контенте и покупать их, не выходя из экосистемы TikTok. В отличие от классического маркетплейса, здес…
Кейс: ИИ-ассистент взломал сайт фитнес-клуба без просьбы человека
В Австралии клиент попросил ИИ-ассистента записать его на утреннее занятие в фитнес-клубе - открыть сайт, найти нужный зал и забронировать место.
ИИ-ассистент проявил инициативу - он обнаружил уязвимость в системе бронирования и выяснил, что через неё можно записываться на занятия на несколько месяцев вперёд, хотя правила клуба этого не позволяли. Кр…
Новость ACSI: Количество жалоб клиентов достигло рекордного уровня
Согласно отчету American Customer Satisfaction Index за второй квартал 2026 года удовлетворенность клиентов американскими компаниями резко снизилась с 76,7 в первом квартале 2026 года до 76,1 (самый низкий показатель с момента начала пандемии COVID-19).
Магазины товаров общего назначения поднялись на один пункт в рейтинге ACSI за 2026 год, (с 78 до …
Сегодня мемная пятница! А это значит пора обменяться мемами. В прошлый самый популярный мем был от Марины он👆
Спасибо за активность!)
Публикуй мемы в комментариях и голосуй за другие любой реакцией. Автор мема, который соберет больше всех реакций, получит от подписчиков признание и любовь!
Новость: Т-Банк запустил ИИ-сотрудника для решения сложных сценариев клиентского обслуживания
В Т-Банке запустили ИИ-сотрудника Афанасия для сложных запросов, которые раньше решали люди. Ежемесячно в поддержку приходит около 19 млн обращений. Обычные боты работают по шаблонам, а Афанасий разбирается в ситуации каждого клиента и сам выполняет нужные действия. Это снимает рутину с сотрудников, и они могут заниматься б…
👍8👎3❤1🔥1
Showing the 12 most recent of 32 posts we hold for @cx_quality. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Сколько времени у вас занимают встречи в рабочем времени?
Менее 20% времени24%
20-40%23%
40-60%27%
Более 60%22%
Сложно сказать/не считал4%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 32 most recent posts we hold, published 16 July 2026 to 28 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 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.
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.
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.
Гений переговоров | Ольга Грищенко @kotperegovor · 43,683 Telegram ranks this channel #43 of 96 here — alongside 95 others — read 28 August 2026
Я — РУКОВОДИТЕЛЬ @iRukovoditel · 31,263 Telegram ranks this channel #57 of 98 here — alongside 97 others — read 6 September 2026
Виталий Голицын @VitalyGolitzyn · 26,598 Telegram ranks this channel #62 of 80 here — alongside 79 others — read 12 September 2026
This channel appears in 3 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 15 September 2026 — this
entry's latest reading, not the date you are reading this.
“Клиентский опыт и качество” (@cx_quality), 8,268 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/cx_quality.
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.