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Channel

Отменили CTR | Система на Маркетплейсах

@ekspertmp

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

27,066subscribers

-55 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001700462294
TypeChannel
Username@ekspertmp
DescriptionWB и Ozon: инструменты, обновления, разборы. Про e-commerce, продажи и бизнес на маркетплейсах. Сотрудничество → @cancelctr_pr
CreatedBetween 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live12 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/ekspertmp

Growth

27,06627,12127,093.57 August 2026 — 27,121 subscribers7 August 2026 — 27,121 subscribers7 August 2026 — 27,114 subscribers8 August 2026 — 27,108 subscribers9 August 2026 — 27,085 subscribers10 August 2026 — 27,083 subscribers11 August 2026 — 27,081 subscribers12 August 2026 — 27,066 subscribers7 August 202612 August 2026
8 measurements spanning 6 days, net -55. 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 27,058–27,129 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 20:3427,066-15
11 Aug 2026, 17:0827,081-2
10 Aug 2026, 16:3727,083-2
9 Aug 2026, 17:4127,085-23
8 Aug 2026, 15:4427,108-6
7 Aug 2026, 18:2727,114-7
7 Aug 2026, 08:3027,121no change
7 Aug 2026, 08:2527,121first reading

Engagement

20 posts held, back to 28 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 18 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
6.92%
avg views ÷ 27,066 subscribers
Avg views / post
1,870
20 posts measured
Reaction rate
0.757%
reactions ÷ views · ER floor
Posts in window
20
of 20 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 18 of 20 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 11 August 2026
Posts held20 (28 July 202611 August 2026)
Views total37,474
Reactions total263
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 23:16 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
996
Videos
217
Links
562

Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Reaction mix

263 reactions across 18 posts, in 9 distinct kinds. The most used accounts for 22.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👎5822.1%
🔥5119.4%
😁4617.5%
4517.1%
👍186.84%
💯186.84%
😭186.84%
🤯51.90%
😍41.52%

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 18 of the 20 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 263reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 28 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.

Recent posts

11 Aug 2026, 16:25 UTC814 views14 reactionsread 12 August 2026

Победил Озон 13 августа в 16:00 делаем большой воркшоп «Азбука Озона». Блок получается обширный, поэтому сразу по пунктам, что разберём: • Юнит-экономику товара • Аанализ конкурентов • Рекламу на Озоне, куда без неё • SEO • Работу со складами И самое главное — переезд на Озон в текущих реалиях: кому оно надо, кому нет, и как сделать это без потерь Точную программу накину ближе к делу. Вопросы можно закидывать в

🔥113

Signed Вадим Подскребаев

10 Aug 2026, 15:27 UTC≈1,090 viewsread 12 August 2026

Ребят, нужна ваша помощь) Изначально планировал делать следующий воркшоп по финансам, но читаю личку, читаю новости и вижу, что запросы сейчас совсем разные. А формат хочется максимально прикладной и полезный, чтобы вы вышли с эфира и сразу пошли делать. Поэтому давайте просто спрошу у вас. Накидайте, что откликается больше, по этому плану и пойдём 👇 Если вашего варианта нет - напишите в комментах.

7 Aug 2026, 07:34 UTC≈2,290 views37 reactionsread 12 August 2026
Photo

Wildberries купил здание бывшего офиса ФК Открытие у ВТБ почти за ₽13 млрд. Комплекс находится в центре Москвы, у Павелецкого вокзала. Сначала маркетплейс планировал просто арендовать площади, но решил выкупить их целиком. ВТБ распродает непрофильную недвижимость.

👎304🔥2👍1

Signed Вадим Подскребаев

6 Aug 2026, 16:43 UTC≈2,220 views3 reactionsread 12 August 2026
Photo

Проверяем кабинеты

🔥3

Signed Вадим Подскребаев

6 Aug 2026, 10:54 UTC≈2,050 views18 reactionsread 12 August 2026
Photo

Непопулярные решения принимаются без остановки

👎8💯6🔥2😭2

Signed Вадим Подскребаев

6 Aug 2026, 07:21 UTC≈2,150 views26 reactionsread 12 August 2026

Владельцы ПВЗ Wildberries начали активно их распродавать. На площадках нашли уже больше 9 тыс. объявлений. Есть лоты от ₽100 тыс. до ₽15,5 млн в зависимости от локации, оборота и количеста ПВЗ (иногда продают сразу сеть). Но в среднем пункты стоят ~₽400 тыс. Причины продажи не пишут, но мы с вами догадываемся.

😁17💯5👎31

Signed Вадим Подскребаев

5 Aug 2026, 19:08 UTC≈2,160 views26 reactionsread 12 August 2026
Photo

Wildberries запустит собственный мессенджер — сервис уже начали тестировать, сообщает «Коммерсантъ». На данный момент компания уже зарегистрировала десятки связанных с ним доменов, включая wb-messenger и chat-wb. Может подскажем им?🫣

😁19👎32😭2

Signed Вадим Подскребаев

5 Aug 2026, 15:42 UTC≈1,920 views14 reactionsread 12 August 2026

430 000 ₽ в год за подписки на сервисы 💀 Сервисы для МП по отдельности кажутся недорогими. Но открой банк, посчитай все списания за месяц и умножь на 12 - у меня набежало 430 000 ₽ в год только за три сервиса. В новом видео я аху считаю весь стек сервисов и инструментов на реальных цифрах своего кабинета и показываю альтернативу, которая закрывает те же задачи в 4 раза дешевле 🥹 О чём видео: — из чего на самом дел

10💯2🔥2

Signed Вадим Подскребаев

5 Aug 2026, 13:59 UTC≈1,620 viewsread 12 August 2026

Posted without readable text

Signed Вадим Подскребаев

4 Aug 2026, 14:50 UTC≈1,940 views11 reactionsread 12 August 2026

5 советов по Reels, которые вам дают все, а они не подтверждаются данными! У наших друзей, фаундеров стартапов Viralla и Contenta, взяли стратегию по UGC для хозяйственных товаров. Кто не знает: ребята парсят миллионы вертикальных видео с товарами, находят те, которые дают прирост в заказах, вот так разбирают каждое видео. И на этой базе делают стратегии на охваты и продажи (пример). Оказалось, не все, чему нас уча

🔥4👍32💯2

Signed Вадим Подскребаев

4 Aug 2026, 07:02 UTC≈1,940 views17 reactionsread 12 August 2026
Photo

Wildberries и Ozon будут перевозить склады в Казахстан из-за участившихся атак — страны уже начали работу по интеграции. Ваши мысли, друзья?

😁10💯3🔥3👎1

Signed Вадим Подскребаев

Showing the 12 most recent of 20 posts we hold for @ekspertmp. 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 — 324,078 of 1,151,006entries 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 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.

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.

WB Партнёры
@wbsellerofficial · 183,389
Telegram ranks this channel #40 of 75 here — alongside 74 others — read 12 August 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list 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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“Отменили CTR | Система на Маркетплейсах” (@ekspertmp), 27,066 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/ekspertmp.

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.