Marketing & affiliate — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 49% 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
59 measurements spanning 92 days, net -312. 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 10,882–11,290 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 59
Measured (UTC)
Subscribers
Change
7 Nov 2026, 10:19
10,931
+2
6 Nov 2026, 06:57
10,929
-6
5 Nov 2026, 08:14
10,935
-4
4 Nov 2026, 05:08
10,939
-1
3 Nov 2026, 08:19
10,940
-4
2 Nov 2026, 07:59
10,944
-1
1 Nov 2026, 04:47
10,945
-4
31 Oct 2026, 04:56
10,949
-4
30 Oct 2026, 06:20
10,953
+7
29 Oct 2026, 05:28
10,946
+5
28 Oct 2026, 01:20
10,941
-4
27 Oct 2026, 03:57
10,945
+4
26 Oct 2026, 05:59
10,941
-2
25 Oct 2026, 08:29
10,943
-1
24 Oct 2026, 07:01
10,944
-1
23 Oct 2026, 03:35
10,945
-4
22 Oct 2026, 01:57
10,949
-5
20 Oct 2026, 17:57
10,954
-1
19 Oct 2026, 18:00
10,955
-5
18 Oct 2026, 19:57
10,960
first reading
Engagement
109 posts held, back to 3 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 53 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.33%
avg views ÷ 10,931 subscribers
Avg views / post
692
25 posts measured
Reaction rate
0.477%
reactions ÷ views · ER floor
Posts in window
25
of 109 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 21 of 25 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 7 November 2026
Posts held
109 (3 August 2026 – 7 November 2026)
Views total
17,307
Reactions total
71
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Nov 2026, 08:42 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
1m 23s
Average length
21s
Measured directly from 4 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
1,148 reactions across 94 posts, in 30 distinct kinds. The most used accounts for 36.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
416
36.2%
❤
317
27.6%
👍
115
10.0%
😁
88
7.67%
🤬
25
2.18%
🥴
23
2.00%
😨
19
1.66%
💯
18
1.57%
👌
16
1.39%
😢
15
1.31%
🤷♂
14
1.22%
🏆
10
0.871%
🙉
9
0.784%
🤔
8
0.697%
👾
5
0.436%
😐
5
0.436%
😭
5
0.436%
🤝
5
0.436%
🦄
5
0.436%
❤🔥
4
0.348%
10 further kinds
26
2.26%
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 98 of the 109 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 1,148 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 109 most recent posts we hold, published 3 August 2026 to 7 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: 8 of 25 posts held from the last 30 days (32.0%) 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).
Обычный ИИ-чат знает всё из интернета. Но ничего не знает про ваш магазин на ВБ.
Claude Code работает по-другому: он сам заходит в кабинет Wildberries и собирает цифры.
В новом видео показываю на живых примерах:
🟠 Анализ магазина: трафик или конверсия.
🟠 Разбор рекламы.
🟠 Финансовый отчёт за неделю по 120 артикулам.
🟠 Личный ассистент в Telegram.
Программистом быть не нужно. Ученики без айтишного опыта подключили…
Если вы пришли сюда с конференции – давайте знакомиться! 👋
Я Михаил Шебзухов. Занимаюсь Wildberries, обучаю селлеров и уже активно внедряю ИИ в работу своих магазинов.
Здесь говорим о том, что действительно влияет на результат на маркетплейсах:
– почему падают продажи и где искать причину;
– как анализировать карточки, конкурентов и рекламу;
– куда утекают деньги и как работать с цифрами;
– какие задачи уже можно д…
ИИ-агенты вместо менеджеров WB. Это вообще реально или пока красивые сказки?
Сегодня в 14:45 (мск) буду разбирать этот вопрос на большой онлайн-конференции селлеров "Жизнь на маркетплейсах в 2027".
Моя тема – "ИИ-агенты для ВБ: миф или реальность?"
Поговорим о том, что уже сейчас можно поручить искусственному интеллекту, где он действительно способен заменить ручную работу, а где без головы селлера пока никуда.
И…
Через 30 минут в закрытом клубе встречаемся с основателем Mkeeper Михаилом Золотовым! 🔥
Сегодня в 17:00 (мск) вместе разберём, куда утекают рекламные бюджеты на Wildberries, как снижать ДРР без потери продаж и какие инструменты продвижения действительно работают сейчас.
Будет много практики, свежих фишек и возможность задать вопросы напрямую основателю сервиса.
И отдельно напомню всем, кто участвовал в нашем беспл…
Что общего у борща, холодильника и искусственного интеллекта?
Ничего. Пока я не начинаю объяснять, как работают нейросети 😁
В ход идут повара, продукты, холодильник и борщ. И внезапно сложная технология становится понятной даже тем, кто до этого использовал ИИ исключительно для написания поздравлений.
Кстати, именно так мы и выстроили обучение "Claude + Wildberries". Без лишних технических терминов и необходимости…
Попросил Claude проверить, где у нас сливается реклама. Он ответил: нигде.
Решил проверить рекламу в магазине, где я партнёр. Взяли статистику Wildberries за неделю по 21 товару и поручили Claude разобраться, какие кампании работают в плюс, а какие съедают прибыль.
Ассистент собрал данные, посчитал стоимость заказа по каждому товару и сравнил её с расчётными порогами окупаемости.
И вот что получилось.
20 товаров …
У селлеров всё больше инструментов для аналитики. Почему тогда работы меньше не становится?
Сегодня открыли доступ первому потоку «Claude + Wildberries». Участники знакомятся с материалами, устанавливают Claude и готовятся к первому созвону в четверг.
Хочу немного рассказать, почему вообще решил сделать это обучение.
За последние годы у селлеров появилось множество инструментов для аналитики и управления магазином…
Вы можете открыть Claude и спросить, почему упали продажи.
Он вам ответит. Причём довольно убедительно.
Проблема только в том, что без данных вашего магазина он понятия не имеет, почему они упали. Может предположить, что выросла конкуренция, изменился спрос или просела конверсия. И даже составить красивый план действий.
Но вам-то нужно другое.
Понять, на каких артикулах началась просадка, что изменилось в рекламе…
Сегодня последний день, когда можно попасть на практикум по ИИ для Wildberries.
Завтра начинаем обучение. За четыре недели будем собирать собственных ИИ-помощников, которые смогут брать на себя часть ежедневных задач селлера:
🟠 Собирать отчёты по продажам и рекламе.
🟠 Помогать находить причины просадок.
🟠 Анализировать карточки и конкурентов.
🟠 Готовить ТЗ для инфографики.
🟠 Помогать контролировать задачи и рабочие…
❤️ 3,4,5,6 ноября!
Будет большое онлайн собрание селлеров, практиков!
Основная тема: Жизнь на маркетплейсах в 2027!
Будем много обсуждать:
- куда идти WB или OZON?
- как подстраиваться под FBS? Или пора возвращаться на FBO
- пора ли уходить с МП?
- надо переждать или топить ещё сильнее?
- как работает ранжирование сейчас?
- надо ли уходить в свои каналы продаж или нет?
и будет ооооочень много тем про ИИ и маркетпле…
Я отдал часть работы своего магазина на WB искусственному интеллекту. И теперь не понимаю, зачем раньше тратил на это столько времени.
Пока одни селлеры вручную собирают отчёты и контролируют каждую мелочь, у меня часть этих задач уже выполняют ИИ-агенты.
Записал видео, где на реальных примерах показываю, как ИИ:
🟠 Читает рабочие чаты и собирает утренний брифинг в Telegram.
🟠 За 5 минут готовит ТЗ и инфографику дл…
Потеряли записи эфиров? Нашёл за вас 😁
Последние два дня получаю сообщения с вопросами, где посмотреть интенсив по ИИ для Wildberries.
Поэтому решил оставить все три записи в открытом доступе до конца недели, чтобы каждый успел посмотреть, пересмотреть и попробовать инструменты на своём магазине.
День 1. Карточки товаров и конверсия
Разбирали алгоритмы WB, анализ конкурентов и создание ТЗ на инфографику с помощью…
👍2
Showing the 12 most recent of 109 posts we hold for @prodazinawb. 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
@prodazinawb edited 2 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
24 August 2026
Posts recorded as deleted after publishing
We recorded 5 posts on @prodazinawb as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
9 August 2026
Most recent seen missing
24 August 2026
Median time before seen missing
23 hours
Seen missing in the last 30 days
0
Polls
The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Спор всего августа.
Качаем WB или переходим на Ozon Ваше мнение👇
Растем на WB (Ozon - не спасение)19%
Переходим на Ozon (на ВБ ловить нечего)16%
Реанимируем ВБ и параллельно запускаем Ozon65%
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 109 most recent posts we hold, published 3 August 2026 to 7 November 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 1 registered channel — 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.
Дмитрий Москаленко | Бизнес на маркетплейсах с MpSkill @msk_966 · 20,980 Telegram ranks this channel #2 of 70 here — alongside 69 others — read 23 September 2026
Основатель mkeeper @mkeeper · 21,725 Telegram ranks this channel #28 of 74 here — alongside 73 others — read 22 September 2026
На маркетплейсах c Лео Шевченко ️ @namarketplacewithleo · 87,188 Telegram ranks this channel #28 of 76 here — alongside 75 others — read 17 August 2026
Оракул Маркетплейсов @SEO_for_WB · 28,553 Telegram ranks this channel #54 of 73 here — alongside 72 others — read 9 September 2026
WB Партнёры @wbsellerofficial · 178,635 Telegram ranks this channel #58 of 75 here — alongside 74 others — read 12 August 2026
Василий MarketPapa @marketpapa_channel · 27,496 Telegram ranks this channel #65 of 77 here — alongside 76 others — read 10 September 2026
Отменили CTR | Система на Маркетплейсах @ekspertmp · 26,136 Telegram ranks this channel #71 of 80 here — alongside 79 others — read 12 September 2026
MPSTATS @analyticsmpstats · 21,350 Telegram ranks this channel #77 of 79 here — alongside 78 others — read 23 September 2026
This channel appears in 8 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.
“Wildberries | Михаил Шебзухов” (@prodazinawb), 10,931 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/prodazinawb.
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.