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Channel

Hotel Advisors

@hotel_advisors

On this record: Topic · Growth · Engagement · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry

6,114subscribers

+163 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-1001187632346
TypeChannel
Username@hotel_advisors
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live7 November 2026
Measurements held27
Confirmed unchanged1 time, most recently 7 November 2026
On Telegramt.me/hotel_advisors

Topic

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 75% 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

5,9516,1166,033.56 August 2026 — 5,951 subscribers6 August 2026 — 5,951 subscribers6 August 2026 — 5,956 subscribers9 August 2026 — 5,952 subscribers12 August 2026 — 5,951 subscribers15 August 2026 — 5,958 subscribers18 August 2026 — 5,971 subscribers22 August 2026 — 5,974 subscribers25 August 2026 — 5,979 subscribers28 August 2026 — 5,987 subscribers31 August 2026 — 5,981 subscribers3 September 2026 — 5,982 subscribers8 September 2026 — 6,002 subscribers12 September 2026 — 6,017 subscribers16 September 2026 — 6,015 subscribers25 September 2026 — 6,055 subscribers4 October 2026 — 6,058 subscribers11 October 2026 — 6,070 subscribers14 October 2026 — 6,071 subscribers17 October 2026 — 6,092 subscribers20 October 2026 — 6,100 subscribers24 October 2026 — 6,116 subscribers27 October 2026 — 6,112 subscribers29 October 2026 — 6,110 subscribers1 November 2026 — 6,106 subscribers4 November 2026 — 6,110 subscribers7 November 2026 — 6,114 subscribers6,1146 August 20267 November 2026
27 measurements spanning 94 days, net +163. 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 5,926–6,141 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)SubscribersChange
7 Nov 2026, 22:306,114+4
4 Nov 2026, 16:056,110+4
1 Nov 2026, 23:496,106-4
29 Oct 2026, 19:596,110-2
27 Oct 2026, 02:206,112-4
24 Oct 2026, 02:076,116+16
20 Oct 2026, 18:576,100+8
17 Oct 2026, 22:446,092+21
14 Oct 2026, 13:306,071+1
11 Oct 2026, 04:186,070+12
4 Oct 2026, 21:176,058+3
25 Sept 2026, 19:576,055+40
16 Sept 2026, 21:016,015-2
12 Sept 2026, 16:216,017+15
8 Sept 2026, 07:566,002+20
3 Sept 2026, 02:175,982+1
31 Aug 2026, 00:265,981-6
28 Aug 2026, 05:355,987+8
25 Aug 2026, 03:465,979+5
22 Aug 2026, 01:375,974first reading

Engagement

33 posts held, back to 4 August 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 13 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
7.47%
avg views ÷ 6,114 subscribers
Avg views / post
457
15 posts measured
Reaction rate
2.68%
reactions ÷ views · ER floor
Posts in window
16
of 33 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 5 November 2026
Posts held33 (4 August 2026 – 5 November 2026)
Views total6,854
Reactions total184
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 16:49 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

391 reactions across 29 posts, in 8 distinct kinds. The most used accounts for 32.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥12632.2%
❤10727.4%
custom 51953437185797243465514.1%
💯5514.1%
custom 5343845438359350944317.93%
custom 5267419403019886452123.07%
⚡41.02%
🍾10.256%

Custom emoji. 3 of the rows above are 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 counts beside them are Telegram’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 30 of the 33 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 405 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 33 most recent posts we hold, published 4 August 2026 to 5 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.

Telegram Stars

Stars received
2
across the posts below
Posts paid on
2
of 30 we hold a reading for · 7%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @hotel_advisors. 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 33 most recent posts we hold for this entry, published 4 August 2026 to 5 November 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.

Recent posts

Telegram’s own ‘edited’ marker: 9 of 16 posts held from the last 30 days (56.3%) 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).

5 Nov 2026, 15:03 UTC182 views15 reactionsread 5 November 2026
Photo

ЦИТАТА ДНЯ: Ольга Семенкова в @Hotel_Advisors Маленьким отелям бенчмаркинг и RMS нужны даже больше, чем крупным. Когда каждый номер и каждая ночь на счету, точные данные помогают не ждать перемен, а самим влиять на результат. Ольга Семенкова, 18 лет в индустрии из которых 5 лет является генеральным менеджером 1715 Дюплекс отель в Санкт-Петербурге. ❤️ @Hotel_Advisors: Аналитика гостиничного рынка — пульс вашего оте…

🔥6❤4💯3custom 53438454383593509442

5 Nov 2026, 11:00 UTC316 views10 reactionsread 5 November 2026
Photo

Отель заполнен лучше конкурентов. Почему выручка всё равно ниже? Школа бенчмаркинга Hotel Advisors: На разборе домашнего задания мы увидели такую ситуацию: отель опережал конкурентную группу по загрузке, но уступал по средней цене и доходу на доступный номер. Если смотреть только на загрузку, кажется, что всё хорошо. Но MPI, ARI и RGI вместе показывают другую картину: отель продаёт больше номеров, однако результат …

❤5💯3🔥2

5 Nov 2026, 07:04 UTC392 views6 reactionsread 5 November 2026

Вчера освежили фактические данные по бронированием на будущие три месяца, если пропустили, смотрите ~ https://t.me/hotel_advisors/6795

❤4🔥1custom 53438454383593509441

4 Nov 2026, 12:10 UTC543 views21 reactionsread 5 November 2026

Posted without readable text

🔥11❤5💯5

4 Nov 2026, 09:54 UTC378 views9 reactionsread 5 November 2026
Forwarded from @portierdenuitPhoto

Коллеги, свежая статистика Hotel Advisors по загрузке отелей на ноябрь, декабрь и январь. Рекомендую внимательно изучить таблицу, особенно тем, кто сейчас формирует тарифную политику на зиму. Судя по текущим бронированиям, продавать номера по прошлогоднему сценарию получится далеко не у всех. Начнём с ноября. Москва отстаёт от прошлого года на 6,4 процентного пункта, Екатеринбург — на 7,3 п.п., а побережье Сочи вооб…

❤5custom 53438454383593509442💯1🔥1

3 Nov 2026, 16:23 UTC560 views15 reactionsread 5 November 2026
Photo

TravelLine готовит бесплатные экспресс-сайты для отелей, пострадавших из-за сбоя Beget После сбоя у хостинг-провайдера Beget сайты и связанные сервисы части отелей оказались недоступны. TravelLine готовит для пострадавших объектов бесплатные экспресс-сайты, чтобы они могли продолжить принимать бронирования. Основатель TravelLine Александр Галочкин сообщил, что команда адресно связалась примерно с 3 тысячами отелей.…

❤11💯2🔥2

3 Nov 2026, 10:26 UTC553 views14 reactionsread 5 November 2026

Posted without readable text

🔥6❤3💯3custom 53438454383593509442

2 Nov 2026, 15:26 UTC535 views9 reactionsread 5 November 2026
Photo

Сайт отеля недоступен: что делать, чтобы не потерять бронирования Практическая памятка для отельеров на случай, если сайт временно не работает. Её подготовил Андрей Шишкин — основатель агентства Smart Hotel Marketing и эксперт по онлайн-продвижению в сфере гостеприимства. В ночь на 2 ноября инфраструктура Beget подверглась кибератаке. Сайты многих отелей оказались недоступны. Пока сайт не восстановлен, гостям нужен…

🔥4custom 51953437185797243463❤2

2 Nov 2026, 14:15 UTC464 views10 reactionsread 5 November 2026
Photo

ЦИТАТА ДНЯ: Владимир Масютин в @Hotel_Advisors Первое, что должен сделать собственник, — научить команду вести управленческий учёт по USALI. А затем регулярно сверять результаты с рынком: бенчмаркинг показывает, за счёт чего отель зарабатывает и где теряет деньги. Я всегда сверяю по Hotel Advisors. Владимир Масютин, основатель и управляющий группы отелей Русские Сезоны ❤️ @Hotel_Advisors: Аналитика гостиничного …

🔥5💯3❤1custom 53438454383593509441

2 Nov 2026, 12:43 UTC454 views15 reactionsread 5 November 2026
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Говорить о данных красиво, с умом и непредвзято — это искусство, подвластное Hotel Advisors. Фото с закрытого мероприятия наших партнёров Т-Путешествия считаем идеальным приглашением на выставку — Секреты отельера: 🔎в Новосибирске 10 ноября 👈🏻 ▶️на Алтае в Манжероке 12 ноября Здесь вы сможете встретиться с нашей Дарьей Симейкиной. Она искусно покажет прогноз для отельеров, построенный на данных бенчмаркинга Hotel…

🔥4custom 51953437185797243464custom 52674194030198864523custom 53438454383593509443❤1

2 Nov 2026, 11:46 UTC451 views8 reactionsread 5 November 2026
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Инвестиционный форум АЗО: Каким будет рынок к тому времени, когда откроется новый отель? Чтобы планировать строительство, важно понимать, в каком рынке предстоит работать вашему объекту: как меняются загрузка и ADR, какие регионы растут, где есть потенциал для новых проектов. Поэтому для нас важно быть на предстоящем Инвестиционном форуме АЗО. В первый день форума Сергей Данильченко выступит со специальным обзором…

❤5💯2🔥1

Showing the 12 most recent of 33 posts we hold for @hotel_advisors. 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.

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 12 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.

Ночной портье
@portierdenuit · 22,138
Telegram ranks this channel #3 of 95 here — alongside 94 others — read 23 September 2026
Отелло
@otello_travel · 51,692
Telegram ranks this channel #21 of 51 here — alongside 50 others — read 22 August 2026
GASTROhotel
@gastrohotel · 19,800
Telegram ranks this channel #33 of 91 here — alongside 90 others — read 4 October 2026
Типичный посуточник
@tposutochnik · 21,072
Telegram ranks this channel #44 of 83 here — alongside 82 others — read 25 September 2026
Отели России 🇷🇺
@ruhotels · 21,586
Telegram ranks this channel #60 of 66 here — alongside 65 others — read 22 September 2026
Сдавайся на Суточно.ру
@sdavajsya · 36,718
Telegram ranks this channel #72 of 82 here — alongside 81 others — read 1 September 2026
Мостуризм
@moscomtourism · 70,877
Telegram ranks this channel #92 of 93 here — alongside 92 others — read 20 August 2026

This channel appears in 7 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.

“Hotel Advisors” (@hotel_advisors), 6,114 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/hotel_advisors.

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.