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 10 September 2026 and assigned it the closest of 31 fixed categories, at 37% 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
47 measurements spanning 79 days, net -501. 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 21,217–21,885 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 47
Measured (UTC)
Subscribers
Change
24 Oct 2026, 08:27
21,307
-7
23 Oct 2026, 06:40
21,314
-1
22 Oct 2026, 03:50
21,315
-13
20 Oct 2026, 23:18
21,328
-4
20 Oct 2026, 00:01
21,332
+38
18 Oct 2026, 21:45
21,294
-2
17 Oct 2026, 21:29
21,296
-10
16 Oct 2026, 23:54
21,306
-9
16 Oct 2026, 02:27
21,315
-14
14 Oct 2026, 23:27
21,329
-15
13 Oct 2026, 16:45
21,344
-25
10 Oct 2026, 00:02
21,369
-35
5 Oct 2026, 21:56
21,404
-21
30 Sept 2026, 15:18
21,425
+44
18 Sept 2026, 02:37
21,381
-26
15 Sept 2026, 22:38
21,407
-30
14 Sept 2026, 03:18
21,437
-15
12 Sept 2026, 13:58
21,452
-19
10 Sept 2026, 11:35
21,471
-35
7 Sept 2026, 03:38
21,506
first reading
Engagement
66 posts held, back to 14 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 67 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
3.95%
avg views ÷ 21,307 subscribers
Avg views / post
842
15 posts measured
Reaction rate
2.53%
reactions ÷ views · ER floor
Posts in window
15
of 66 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 9 October 2026
Posts held
66 (14 July 2026 – 9 October 2026)
Views total
12,637
Reactions total
320
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Oct 2026, 00:28 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
Video runtime
4h 52m
Average length
41m 49s
Measured directly from 7 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
1,413 reactions across 65 posts, in 13 distinct kinds. The most used accounts for 20.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
296
20.9%
custom 5422837939996476651
262
18.5%
👍
211
14.9%
⚡
182
12.9%
👏
162
11.5%
👌
67
4.74%
🤔
56
3.96%
💔
55
3.89%
😍
51
3.61%
🎉
42
2.97%
😢
15
1.06%
🤣
12
0.849%
😱
2
0.142%
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 is 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 66 of the 66 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 1,431 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 66 most recent posts we hold, published 14 July 2026 to 9 October 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.
Каждое изменение в продвижении товара под контролем 👌🏼
В модуле Кабинет Ozon появился инструмент Рука на пульсе ⬇️
✔️ На стартовой странице — список топовых товаров магазина по сумме заказов за выбранный период.
✔️ По клику на название товара или кнопку «Отчет» откроется детальный отчет по товару, в нем вы увидите:
▫️воронку продаж по дням с конверсиями — показывает, на каком этапе произошел сбой и что стало прич…
Последняя возможность попасть на разбор бизнеса на MPSTATS Expo: Пересборка 🔥
Открыта запись к экспертам:
👤 Данил Овчинников, основатель бренда Eberron
Где бизнес теряет деньги?
▫️комплексный разбор всех ключевых показателей бизнеса
▫️определение наличия кассового разрыва
▫️создание платежного календаря
▫️введение системы контроля качества
▫️распределение товара между форматами логистики и площадками
▫️построение…
AI-агенты для селлера: подключаем AI-аналитика и разбираем рынок в прямом эфире
Бесплатный вебинар
🗓️ 12 октября 17:00 мск
Обсудим:
▫️что такое AI-агент
▫️как подключить MCP-протокол за несколько шагов
▫️как правильно ставить задачи агенту
▫️разбор ниши и рынка с помощью AI-агента
➡️ Регистрируйтесь
За активацию MCP-протокола в AI-агенте дарим скидку 25% на покупку или продление любого тарифа MPSTATS. Подробност…
Раскрываем секреты 🔥
До MPSTATS Expo: Пересборка осталось 7 дней 🕚
Мы обещали, что тайное станет явным ⬆️ Совсем скоро все это (и не только) ждет вас.
Подробности о форуме и программе здесь ➡️ https://mpsts.ru/s-NfBQ
😏 А выиграть бесплатный билет можно здесь ➡️ https://t.me/analyticsmpstats/3933
MPSTATS🫷Telegram🫷VK🫷MAX
Экономия должна быть экономной 👌🏼
До 10 ноября откройте счет в Точка Банке бесплатно и выберите до 5 стартовых бонусов с выгодой до 187 000 ₽.
Неважно, как давно вы на маркетплейсах: тариф подбирается под ваш оборот — платите только за то, что реально нужно бизнесу 😉
Подробнее об акции ➡️ https://mpsts.ru/DrLUzA
MPSTATS🫷Telegram🫷VK🫷MAX
🎁 Нам нравится дарить подарки селлерам
Поэтому разыгрываем 50 билетов на 2 дня MPSTATS Expo: Пересборка 🔥
2 дня в МТС Live Холл, 60+ спикеров и 90+ докладов. На одной площадке встретятся селлеры, эксперты и крупнейшие компании рынка.
Что еще будет
⚡️ 2 мощных хедлайнера: Владимир Познер проведет разговор о будущем e-commerce, а Михаил Токовинин разберет бизнесы и устроит стратегическую сессию
🤝 своим опытом поделя…
Оцениваем эффективность FBS-логистики: время, склады и штрафы
В модуле Кабинет WB появился новый раздел «FBS-заказы». С ним вы сможете ⬇️
▫️детально изучать экономику по группам товаров: сумма и количество заказов, расходы на штрафы и платную приемку, среднее время доставки до сортировочного центра
▫️быстро отслеживать динамику по периодам и дням: сколько заказов выкуплено/отменено/в пути
▫️оценивать эффективност…
Что по пересборке? 🤔
Задумываемся об этом каждый четверг — в день рубрики с амбассадорами MPSTATS, которые отвечают на вопрос «Как вы справляетесь с новой реальностью?» ⬇️
#пересборка_@analyticsmpstats — выпуск №4
👤 Артур Шестаков
Предприниматель-селлер, руководитель проектов Wildberries
Разрушение складов Wildberries еще раз показало главную боль FBO в онлайн-бизнесе.
Решение вижу в диверсификации: ходовые това…
Протокол подключаете — скидку получаете 😎
За активацию MCP-протокола от MPSTATS в AI-агенте дарим скидку 25% на покупку или продление любого тарифа MPSTATS.
Все подробности об акции и инструкция по подключению здесь ➡️ https://mpsts.ru/CEYNqw
А до 13 октября за оформление или продление подписки на платформу вы получите бесплатный билет на 2 дня форума MPSTATS Expo: Пересборка 😏
MPSTATS🫷Telegram🫷VK🫷MAX
Один короткий промпт = полный анализ позиций конкурентов по запросам ⬆️
Второй выпуск рубрики с Андреем Пекинским про MCP-протокол от MPSTATS для AI-агентов.
Теперь протоколом могут воспользоваться все без подписки на MPSTATS через демо-доступ 😉
Попробовать бесплатно ➡️ https://mpsts.ru/QqnrIA
Инструкция по подключению протокола к AI-агенту ➡️ https://mpsts.ru/xr3qyw
🫸Промпт из видео:
🫸Построй тепловую карту все…
Считаем юнит-экономику по любой схеме логистики 👌🏼
Теперь в бесплатном Юнит-калькуляторе WB можно проверить экономику товара по:
▫️FBO
▫️FBS
▫️DBS
▫️EDBS
▫️DBW
▫️C&C
Для каждого метода учли логику поставок, комиссий, возвратов и расходов.
Для FBS — изменения комиссии и штрафы в зависимости от срока отгрузки.
Калькулятор по-прежнему максимально автоматизирован: большая часть данных подтягивается или рассчитывается…
🔥7👏5custom 54228379399964766515⚡2🎉2
Showing the 12 most recent of 66 posts we hold for @analyticsmpstats. 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
@analyticsmpstats edited 15 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
10 August 2026
Most recent edit
3 September 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 14 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 23 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Т-Бизнес секреты: онлайн-продажи, маркетплейсы, ecom @bs_marketplace · 26,810 Telegram ranks this channel #12 of 85 here — alongside 84 others — read 11 September 2026
Дмитрий Москаленко | Бизнес на маркетплейсах с MpSkill @msk_966 · 21,223 Telegram ranks this channel #15 of 70 here — alongside 69 others — read 23 September 2026
MPGO @mpgo_ru · 80,757 Telegram ranks this channel #23 of 77 here — alongside 76 others — read 18 August 2026
Ozon Marketplace @ozonmarketplace · 110,039 Telegram ranks this channel #25 of 81 here — alongside 80 others — read 15 August 2026
Ozon и партнёры ПВЗ @ozonapvz · 67,090 Telegram ranks this channel #27 of 72 here — alongside 71 others — read 20 August 2026
💰MarketGuru | Секреты Wildberries @marketguruclub · 39,412 Telegram ranks this channel #29 of 74 here — alongside 73 others — read 30 August 2026
На маркетплейсах c Лео Шевченко ️ @namarketplacewithleo · 87,693 Telegram ranks this channel #29 of 76 here — alongside 75 others — read 17 August 2026
Вячеслав Малых @seotrener1 · 27,515 Telegram ranks this channel #36 of 77 here — alongside 76 others — read 10 September 2026
Василий MarketPapa @marketpapa_channel · 27,665 Telegram ranks this channel #44 of 77 here — alongside 76 others — read 10 September 2026
Wildberries News @wildberriesofficialcustomer · 48,224 Telegram ranks this channel #44 of 81 here — alongside 80 others — read 26 August 2026
WB Глобал @globalwb · 18,597 Telegram ranks this channel #59 of 78 here — alongside 77 others — read 5 October 2026
Wildbox.News @wildbox_news · 86,331 Telegram ranks this channel #65 of 77 here — alongside 76 others — read 17 August 2026
WB Партнёры @wbsellerofficial · 179,596 Telegram ranks this channel #67 of 75 here — alongside 74 others — read 12 August 2026
Отменили CTR | Система на Маркетплейсах @ekspertmp · 26,283 Telegram ranks this channel #70 of 80 here — alongside 79 others — read 12 September 2026
Иван Куриленко (Акулы Wildberries и Ozon) @wbsharks · 72,723 Telegram ranks this channel #70 of 74 here — alongside 73 others — read 19 August 2026
Владлен Строкань | Основатель Wildbox @vladlen_strokan · 58,886 Telegram ranks this channel #71 of 77 here — alongside 76 others — read 22 August 2026
This channel appears in 16 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 24 October 2026 — this
entry's latest reading, not the date you are reading this.
“MPSTATS” (@analyticsmpstats), 21,307 subscribers as measured 24 October 2026. Telegram Register, tgregister.com/channel/analyticsmpstats.
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.