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Channel

cream.shop

@cream_shop

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry

19,224subscribers

-1,749 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001770561831
TypeChannel
Username@cream_shop
DescriptionCREAM.SHOP — корейская косметика 💛 7 магазинов: СПб и Москва 🏆 только оригинал ⭐️ VT Cosmetics, Round Lab, Dr. Althea, Celimax, Medicube, Arocell 🤫 промокоды По вопросам: в чат-бот: @cream_shop_bot 👇🏻 –10% промокод «TELEGA» https://clck.ru/
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live5 November 2026
Measurements held60
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/cream_shop

Topic

Health & wellness — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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

19,22421,39820,3116 August 2026 — 20,973 subscribers6 August 2026 — 20,972 subscribers7 August 2026 — 21,019 subscribers8 August 2026 — 21,024 subscribers9 August 2026 — 21,065 subscribers10 August 2026 — 21,398 subscribers11 August 2026 — 21,159 subscribers12 August 2026 — 21,057 subscribers13 August 2026 — 20,987 subscribers14 August 2026 — 20,907 subscribers16 August 2026 — 20,880 subscribers17 August 2026 — 20,845 subscribers18 August 2026 — 20,819 subscribers19 August 2026 — 20,774 subscribers20 August 2026 — 20,740 subscribers21 August 2026 — 20,708 subscribers23 August 2026 — 20,687 subscribers25 August 2026 — 20,670 subscribers26 August 2026 — 20,647 subscribers26 August 2026 — 20,623 subscribers28 August 2026 — 20,601 subscribers29 August 2026 — 20,578 subscribers30 August 2026 — 20,562 subscribers31 August 2026 — 20,545 subscribers1 September 2026 — 20,517 subscribers2 September 2026 — 20,497 subscribers3 September 2026 — 20,472 subscribers5 September 2026 — 20,448 subscribers9 September 2026 — 20,403 subscribers11 September 2026 — 20,346 subscribers13 September 2026 — 20,303 subscribers14 September 2026 — 20,261 subscribers16 September 2026 — 20,236 subscribers19 September 2026 — 20,193 subscribers25 September 2026 — 20,145 subscribers4 October 2026 — 20,029 subscribers9 October 2026 — 19,611 subscribers13 October 2026 — 19,566 subscribers14 October 2026 — 19,539 subscribers15 October 2026 — 19,529 subscribers16 October 2026 — 19,525 subscribers17 October 2026 — 19,511 subscribers18 October 2026 — 19,503 subscribers19 October 2026 — 19,488 subscribers21 October 2026 — 19,472 subscribers22 October 2026 — 19,453 subscribers23 October 2026 — 19,447 subscribers24 October 2026 — 19,425 subscribers25 October 2026 — 19,412 subscribers26 October 2026 — 19,403 subscribers27 October 2026 — 19,402 subscribers28 October 2026 — 19,383 subscribers29 October 2026 — 19,371 subscribers30 October 2026 — 19,366 subscribers31 October 2026 — 19,351 subscribers1 November 2026 — 19,315 subscribers2 November 2026 — 19,280 subscribers3 November 2026 — 19,268 subscribers4 November 2026 — 19,249 subscribers5 November 2026 — 19,224 subscribers6 August 20265 November 2026
60 measurements spanning 91 days, net -1,749. 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 18,898–21,724 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)SubscribersChange
5 Nov 2026, 15:0619,224-25
4 Nov 2026, 14:5519,249-19
3 Nov 2026, 13:2019,268-12
2 Nov 2026, 13:4919,280-35
1 Nov 2026, 10:4119,315-36
31 Oct 2026, 09:4419,351-15
30 Oct 2026, 07:2819,366-5
29 Oct 2026, 06:4619,371-12
28 Oct 2026, 01:2019,383-19
27 Oct 2026, 04:4719,402-1
26 Oct 2026, 02:1719,403-9
25 Oct 2026, 02:5919,412-13
24 Oct 2026, 04:4619,425-22
23 Oct 2026, 05:3819,447-6
22 Oct 2026, 05:1819,453-19
21 Oct 2026, 02:3019,472-16
19 Oct 2026, 21:5019,488-15
18 Oct 2026, 18:3919,503-8
17 Oct 2026, 17:5019,511-14
16 Oct 2026, 17:1719,525first reading

Engagement

85 posts held, back to 1 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 65 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
10.3%
avg views ÷ 19,224 subscribers
Avg views / post
1,990
33 posts measured
Reaction rate
2.77%
reactions ÷ views · ER floor
Posts in window
33
of 85 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 32 of 33 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 6 November 2026
Posts held85 (1 August 2026 – 6 November 2026)
Views total65,577
Reactions total1,818
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 15:26 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
≈4,230
Videos
≈1,270
Links
≈1,790

Lifetime counters from Telegram’s own channel header, read 6 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
43m 10s
Average length
1m 26s

Measured directly from 30 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.

Reaction mix

8,191 reactions across 83 posts, in 56 distinct kinds. The most used accounts for 22.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥1,84822.6%
custom 53751227645983619366377.78%
😍5296.46%
🥰4575.58%
👏3744.57%
custom 53821951111510258853284.00%
custom 52265824931922864062593.16%
custom 53755511532264012552553.11%
custom 53100323977885463822162.64%
custom 53777584099342574191992.43%
custom 53754340423531404291982.42%
custom 53776405775064928081962.39%
custom 53277883165762164981782.17%
custom 53844095619291031701732.11%
❤1702.08%
custom 53211899969740782121491.82%
✍1441.76%
custom 51904567888262221831251.53%
custom 53752008342189011821051.28%
custom 53823459160427236211031.26%
36 further kinds1,54818.9%

Custom emoji. 14 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 84 of the 85 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 8,489 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 85 most recent posts we hold, published 1 August 2026 to 6 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: 13 of 33 posts held from the last 30 days (39.4%) 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).

6 Nov 2026, 15:24 UTC45 viewsread 6 November 2026
Video

Жирная кожа — казнить нельзя помиловать? 😍 Спойлер: жирная кожа не нуждается в строгом наказании, ей нужен правильно подобранный уход! У каждого этапа своя задача: 🖇️очищение — бережно удаляем загрязнения и излишки себума 🖇️увлажнение — поддерживаем баланс и не допускаем обезвоженности 🖇️тонизация — дополняем уход и подготавливаем кожу к следующим этапам Главное — не пытаться избавиться от себума любой ценой, а п…

6 Nov 2026, 12:38 UTC691 views31 reactionsread 6 November 2026

№ 5 Александр менеджер по маркетплейсам Cream.Shop👛 В ежедневном уходе мы чаще задумываемся о лице и забываем о теле. Александр напоминает, что ей тоже важно уделять внимание. Выбор Александра: 🫧 ламеллярный лосьон для тела Derma:B Daily Moisture Body Lotion — ламеллярная формула повторяет структуру барьера кожи — впитывается за секунды, без липкости — масло ши, оливковое масло и пантенол для мягкой кожи Весь ноя…

🐳14🎉10💋7

6 Nov 2026, 12:38 UTC641 views13 reactionsread 6 November 2026
Video message

Video message, posted without a caption

🎉8🐳5

6 Nov 2026, 08:56 UTC≈1,020 views39 reactionsread 6 November 2026

Posted without readable text

❤‍🔥21custom 53774414413478151119💋8💘1

5 Nov 2026, 16:01 UTC≈1,430 views41 reactionsread 6 November 2026

№ 4 Алана ассистент генерального директора Cream.Shop 🎂 Алана всегда на связи и держит в голове десятки задач сразу. К надежности она привыкла и в работе, и в уходе, поэтому каждое утро начинает с простого, но проверенного шага — мягкого очищения 🫧 Выбор Аланы: 🫧мягкая пенка для умывания Anua 8 Hyaluronic Acid Hydrating Gentle Foaming Cleanser — 8 видов гиалуроновой кислоты помогают коже оставаться увлажненной пос…

❤‍🔥16custom 532778831657621649816🎉8💋1

5 Nov 2026, 16:01 UTC≈1,300 views29 reactionsread 6 November 2026
Video message

Video message, posted without a caption

custom 532778831657621649814❤‍🔥8🏆4🎉2💘1

5 Nov 2026, 14:45 UTC≈1,440 views61 reactionsread 6 November 2026
Video

У Cream.Shop сегодня еще больше поводов для улыбки 🥳 К нам прилетели открытки из Кореи от любимых брендов и партнеров: Sungboon Editor, Real Barrier Derma:B, Arocell, Round Lab, By Wishtrend, Axis-Y и Atopalm! Сбежались всем офисом посмотреть и, конечно, поулыбаться. Спасибо за доверие и то, что уже столько лет мы вместе создаем что-то красивое💗 Обнимаем крепко-крепко и отправляем в Корею столько же приятностей в …

💘33❤‍🔥21💋7

5 Nov 2026, 13:03 UTC≈1,570 views44 reactionsread 6 November 2026
Photo

20+, 30+, 40+, 50+: как меняются потребности кожи с возрастом?🤓 Собрали подборку средств для разных возрастов и типов кожи: от базового увлажнения и защиты до ухода за тоном и упругостью. А теперь самое приятное🩷 На большинство средств из подборки действует скидка весь ноябрь! А за покупку средств одного бренда на нужную сумму добавим в заказ подарок: 🖇️Medicube при покупке 2 средств — гидрогелевая маска с PDRN …

💋21❤‍🔥15🎉8

4 Nov 2026, 16:05 UTC≈1,840 views72 reactionsread 6 November 2026

№ 3 Светлана старший бухгалтер Cream.Shop👛 В уходе она делает ставку на средства, которые помогают поддерживать упругость и ухоженный вид кожи. Выбор Светланы: 🫧крем-бустер AROCELL Super Collagen Booster Cream — сквалан и бетаин помогают смягчать кожу и поддерживать комфорт — ниацинамид способствует укреплению защитного барьера и выравниванию тона — гиалуроновая кислота и церамиды поддерживают увлажненность Весь …

custom 532778831657621649831❤27custom 53211899969740782129👀5

4 Nov 2026, 16:05 UTC≈1,740 views44 reactionsread 6 November 2026
Video message

Video message, posted without a caption

❤23custom 532118999697407821213👀8

4 Nov 2026, 14:45 UTC≈1,800 views64 reactionsread 6 November 2026
Video

Мы собрали нужное количество реакций, поэтому раскрываем секрет сияющей кожи корейских бортпроводниц🧳 🫧VT Cosmetics PDRN Glow Ampoule — сыворотка-мист с ПДРН для увлажнения и красивого сияния кожи. Даже после 11 часов в самолете кожа выглядит свежей! Ссылочка на продукт тут🧷 🫧 — если уже пробовали и это действительно «вау-эффект»

❤38custom 532118999697407821221💅5

4 Nov 2026, 13:52 UTC≈1,680 views44 reactionsread 6 November 2026

Друзья, ждем ваших реакций, чтобы поделиться секретиком 🧸

custom 538234591604272362137❤7

Showing the 12 most recent of 85 posts we hold for @cream_shop. 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

@cream_shop edited 3 posts 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 August 2026
Most recent edit
6 November 2026

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 18 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.

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

“cream.shop” (@cream_shop), 19,224 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/cream_shop.

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.