Почему сотрудники уходят, даже если зарплата «в рынке»? 😳 Повысить оклад, устроить корпоратив, подарить мерч — кажется, что этого достаточно, чтобы команда стала лояльнее. Но эффект от разовых активностей быстро проходит, если сама система работы с сотрудником не меняется. Удержание начинается гораздо раньше — с того, что человек видит и чувствует каждый день внутри компании. На что стоит обратить внимание: 📌 Перв…

Channel
Адепты Сервиса: команда и обучение
@adepty_servisa
On this record: Growth · Engagement · Reactions · Advertising · Posts · Citations · Cite this entry
5,658subscribers
-7 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1002013573010 |
|---|---|
| Type | Channel |
| Username | @adepty_servisa |
| Created | Between 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/adepty_servisa |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 09:05 | 5,658 | +5 |
| 10 Aug 2026, 12:42 | 5,653 | -10 |
| 7 Aug 2026, 16:30 | 5,663 | -2 |
| 7 Aug 2026, 01:31 | 5,665 | first reading |
Engagement
26 posts held, back to 23 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 8 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.88%
- avg views ÷ 5,658 subscribers
- Avg views / post
- 220
- 24 posts measured
- Reaction rate
- 0.966%
- reactions ÷ views · ER floor
- Posts in window
- 26
- of 26 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 17 of 24 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 11 August 2026 |
|---|---|
| Posts held | 26 (23 July 2026 – 11 August 2026) |
| Views total | 5,271 |
| Reactions total | 38 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 04:01 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
38 reactions across 17 posts, in 8 distinct kinds. The most used accounts for 47.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 18 | 47.4% | |
| 👍 | 11 | 28.9% | |
| 👏 | 2 | 5.26% | |
| 💯 | 2 | 5.26% | |
| 😍 | 2 | 5.26% | |
| custom 5249484362621141855 | 1 | 2.63% | |
| ✍ | 1 | 2.63% | |
| 🥰 | 1 | 2.63% |
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it isTelegram’s.
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 17 of the 26 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 38reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 26 most recent posts we hold, published 23 July 2026 to 11 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
- 3.85%
- 1 of 26 posts carry an ad marker
- Regulatory tokens
- 1
- posts carrying an erid · 1 distinct token
- Median views · ads
- 179
- over 1 measured post
- Median views · rest
- 231
- over 23 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.
| erid | Posts | First seen | Last seen |
|---|---|---|---|
| 2Vtzqw2FZns | 1 | 10 August 2026 | 10 August 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 26 most recent posts we hold, published 23 July 2026 to 11 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.
Recent posts
Главная проблема ресторана может быть в команде. Сотрудники уходят, новых сложно найти, а постоянная текучка забирает время, деньги и влияет на сервис. Поэтому опыт тех, кто умеет удерживать команду и выстраивать процессы, особенно ценен. Мы собрали сильных экспертов ресторанного бизнеса — управление, команда и экономика. Добавляйте каналы https://t.me/addlist/yJ7nxXcuDvg2ODhi
Новости из мира сервиса 👍 1⃣ С 1 сентября для общепита начнут действовать новые санитарные правила. Роспотребнадзор утвердил обновлённый СанПиН для предприятий общественного питания — он заменит действующие нормы 2020 года. Ресторанам стоит заранее проверить процессы, документы и обучение сотрудников под новые требования. 2⃣ С июля начался новый этап обязательной маркировки кондитерских изделий. Изменения затраги…
❤1👍1
Адепты Сервиса: команда и обучение pinned a photo
Разбор репутации топ-брендов HoReCa и retail – приглашаем на бесплатный вебинар Что позволило топовым брендам HoReCa и retail стать таковыми. Будем учиться, перенимать опыт и стараться не повторять их ошибки. Вебинар будет максимально практичным и живым. Разберем: ✅Подходы к работе с онлайн-репутацией топовых компаний из HoReCa и retail. ✅На что важно обращать внимание, но упускают даже топ-бренды (есть детали, пр…
❤2👏1💯1🥰1
Как ресторану не терять миллионы: внедряем геймификацию, адаптацию и корпоративную культуру в единую систему 🔥 Долгая адаптация, слабая вовлеченность и формальная корпоративная культура обходятся ресторану дороже, чем кажется. Новички дольше выходят на результат, команда быстрее выгорает, а HR-активности не дают устойчивого эффекта. Но удержание сотрудников не всегда требует большого бюджета. 🗓 13 августа в 11:00 (…
👍2❤1
❌❌❌❌❌❌ Вебинар "Где ресторан теряет выручку из-за слабого обучения команды — и как это исправить?" уже совсем скоро! ⏱️ Стартуем в 10:00 (Мск) / 12:00 (Алматы) В прямом эфире Сергей Горбунов, основатель ServiceGuru, ресторатор и управленец с опытом более 20 лет. На вебинаре узнаем: 🔶 где ресторан теряет прибыль из-за долгой адаптации, ошибок и слабых продаж; 🔶 из чего состоит работающая система обучения; 🔶 как мот…
❤1👍1
Video message, posted without a caption
Друзья, привет! 👋 На связи Сергей Горбунов, основатель ServiceGuru с опытом более 20 лет в ресторанном бизнесе. Обучение в вашем заведении не дает результатов? Все из-за отсутствия системы! Как же заставить персонал работать на выручку вашего ресторана и рост среднего чека? 🔥 Уже завтра на бесплатном вебинаре в 10:00 (Мск) / 12:00 (Алматы) расскажу как выстроить эффективную систему обучения в вашем ресторане и заст…
👍2❤1
Адепты Сервиса: команда и обучение pinned a photo
Не просто обсудить проблемы своего бизнеса. За три дня собрать решение под свою компанию. В этом уникальность программы образовательного интенсива «Пересборка операционной и финансовой моделей ресторанных компаний», который пройдет 21-23 сентября на кампусе Сколково . Участники заранее в первый же день, формулируют свои запросы и боли: ✔️где бизнес теряет прибыль, ✔️почему не работает управляющая модель, ✔️какие пр…
👍3
Новости из мира сервиса 👍 1️⃣ Крупнейшие ресторанные сети впервые за шесть лет сократили общее число точек. В первом полугодии 2026 года топ-100 сетей уменьшили количество заведений на 3,4% — бизнес смещает фокус с экспансии на эффективность действующих объектов. 2️⃣ Доставка уже формирует до 30% оборота заведений, однако комиссии агрегаторов и расходы на упаковку могут существенно снижать маржинальность заказов. …
❤1💯1
Showing the 12 most recent of 26 posts we hold for @adepty_servisa. 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 — 211,869 of 1,345,403entries 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.
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 2 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.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“Адепты Сервиса: команда и обучение” (@adepty_servisa), 5,658 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/adepty_servisa.
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.