Telegram RegisterThe public register of Telegram

Channel

еКоммерс | Макс Третьяков

@Mtupd

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

118subscribers

+0 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001711651431
TypeChannel
Username@Mtupd
DescriptionМакс Третьяков — партнёр компании eCompass Capital и практик-стратег по экономике и бизнес-моделям крупного eCommerce. Стратегии, исследования, кейсы и люди, с которыми я работаю тут: ecompass.ru Связаться: @maxtretyakov
CreatedBetween 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live9 August 2026
Measurements held2
On Telegramt.me/Mtupd

Growth

1186 August 2026 — 118 subscribers9 August 2026 — 118 subscribers6 August 20269 August 2026
2 measurements spanning 3 days. 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 117–119 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Aug 2026, 04:32118no change
6 Aug 2026, 05:20118first reading

Engagement

17 posts held, back to 22 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
85.6%
avg views ÷ 118 subscribers
Avg views / post
101
10 posts measured
Reaction rate
11.9%
reactions ÷ views · ER floor
Posts in window
11
of 17 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 7 August 2026
Posts held17 (22 June 20267 August 2026)
Views total1,010
Reactions total120
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Aug 2026, 04:32 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
89
Videos
7
Links
33

Lifetime counters from Telegram’s own channel header, read 9 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.

Video runtime
20s
Average length
20s

Measured directly from 1 video 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

169 reactions across 15 posts, in 9 distinct kinds. The most used accounts for 37.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥6437.9%
4929.0%
👍3822.5%
🤔63.55%
🦄42.37%
🌚21.18%
💯21.18%
🗿21.18%
😁21.18%

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 15 of the 17 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 169reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 17 most recent posts we hold, published 22 June 2026 to 7 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

7 Aug 2026, 14:25 UTC38 views1 reactionsread 9 August 2026
Forwarded from @ecompass_radar

«Яндекс» интегрировал сайт и приложения «М.Видео» в платформу «Яндекс Ритейл Медиа». Рекламодатели смогут запускать медийную рекламу и продвижение карточек товаров на площадках «М.Видео» напрямую через «Яндекс Директ». · Коммерсантъ

1

4 Aug 2026, 11:17 UTC85 views43 reactionsread 9 August 2026
Photo

Мие годик, ставьте сердечки❤️

32🔥5👍3🦄3

1 Aug 2026, 08:05 UTC130 views7 reactionsread 9 August 2026
Photo

На днях вышел отчет Яндекса, включающий цифры по их eCom за 2 квартал Меня зацепила только одна цифра — 12% доля доходов от рекламы у Яндекс Маркета Почему зацепила: Мы как-то собирали эту метрику для разных площадок, и 7% от Ozon казалось чем-то грандиозным. А тут наш психологический потолок расширяют еще дальше. Понятно, что методология подсчета может отличаться, но как ни крути — много. Рекламный бизнес, в отл

👍5😁2

31 Jul 2026, 13:17 UTCviews —

еКоммерс | Макс Третьяков pinned «Всем привет, меня зовут Макс Третьяков. Я партнёр eCompass Capital и практик-стратег по экономике и бизнес-моделям крупного eCommerce. Провёл 9 лет в стратегическом консалтинге, работал с М.Видео, Gloria Jeans, Ортекой, Сбером, Росатомом, АФК «Система», ВЭБ.РФ…»

31 Jul 2026, 13:17 UTC102 views6 reactionsread 9 August 2026

Всем привет, меня зовут Макс Третьяков. Я партнёр eCompass Capital и практик-стратег по экономике и бизнес-моделям крупного eCommerce. Провёл 9 лет в стратегическом консалтинге, работал с М.Видео, Gloria Jeans, Ортекой, Сбером, Росатомом, АФК «Система», ВЭБ.РФ и другими компаниями, названия которых проще не писать, чем согласовывать. Мы с командой помогаем крупному ритейлу, маркетплейсам, банкам и производителям пон

👍41🔥1

28 Jul 2026, 09:37 UTC97 views9 reactionsread 9 August 2026
Photo

Ozon продал Одежды и Обуви на 2 ТРЛН за 12 мес Это очень много! Сразу поясняю: 2 трлн до возвратов — официальная цифра по GMV c Ozon Data по двум макрокатегориям: Одежда и Обувь (можете сами зайти и проверить). Но мы заморочились и учли возвраты (т е вывели чистую цифру, уже с учетом пользовательского выкупа) — получилось на июль 2026 года больше 1,1 трлн! На секундочку, весь fashion-рынок РФ (онлайн + офлайн) по

👍5🔥2🗿1🤔1

27 Jul 2026, 07:58 UTC87 views8 reactionsread 9 August 2026
Photo

Двойная порция рис сама себя не заработает Мы поглядываем на статистику зарубежных маркетплейсов, т.к. на более развитых рынках часто события происходят раньше, чем в наших краях. Любопытная картинка по китайцам на Amazon в США. Как будет время, нам надо будет посчитать, что с китайцами на РФ маркетплейсах. Пока не скажу про доли, но динамика, очевидно, в РФ тоже положительная у Китайцев. Это всё ко старому тезис

🤔32🌚1👍1🔥1

23 Jul 2026, 11:52 UTC161 views16 reactionsread 9 August 2026
Photo

Сделал нам eCom-радар Это канал, в который ИИ круглосуточно сливает eCom-новости. Изначально делал под себя Есть ощущение, что многим пригодится, поэтому вэлкам: @ecompass_radar Объясняю, как устроено: В чём прикол: 1) Полнота Я отобрал руками несколько десятков источников: общие медиа, профильные медиа, первые лица индустрии. Важные штуки не будут пропущены. 2) Краткость • Каждая новость ужимается до основной м

🔥8👍43🗿1

22 Jul 2026, 13:08 UTC98 views12 reactionsread 9 August 2026
Photo

Не договорились по цене — собрали сами: Яндекс запустил Цветы В феврале обсуждалась покупка Flowwow по оценке 5–8 млрд, закрытие планировали на апрель. Сделка не состоялась, а Яндекс выкатил отдельное приложение «Яндекс Цветы». Когда крупная компания заходит на новый рынок, стульев всегда три: 1. построить с нуля 2. партнёриться 3. купить кого-то Стулья всегда сравнивают по стоимости стратеги (мы часто делаем тако

🔥53👍2🌚1🦄1

21 Jul 2026, 12:21 UTC86 views10 reactionsread 9 August 2026
Photo

ИИ в консалтинге: новая серия Предыдущие тут: раз, два, три, четыре Две недели назад вышло семейство новых моделей OpenAI GPT 5.6 В пресс-релизе Open AI среди метрик, по которым сравнивают модели, появилась новая (см. картинку): Management Consulting Tasks То есть моделям дают набор консалтинговых задач и смотрят, какую долю из них они решат качественно. У программистов уже поле выжжено (они больше не нужны), ИИ

🔥52💯2👍1

14 Jul 2026, 14:38 UTC126 views8 reactionsread 9 August 2026
Photo

Прокомментировал «Инку» гибель «челноков» — почему мелкие селлеры массово сворачиваются с МП Как я уже не раз писал ранее, комиссии МП растут, и первым выносит тех, кто в цепочке лишний. Репакеры (купил, переклеил бренд, продал), очевидно, «слабое звено» в таком процессе. Себестоимость не контролируют, маржу выедает комиссия — а когда площадка забирает 60–70% выручки, канал перестаёт быть дешёвым, и экономия утекает

🔥52👍1

8 Jul 2026, 12:08 UTC147 views12 reactionsread 9 August 2026

Астрологи объявили неделю пиара Рассказал для Shoppers о том, как маркетплейсы ускоряют отбор брендов и почему корпорации всё чаще покупают уже успешные молодые проекты. В колонке поделился примерами из разных категорий и прогноз роста M&A вокруг новых брендов. Читать колонку

🔥11👍1

Showing the 12 most recent of 17 posts we hold for @Mtupd. 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 — 784,004 of 1,160,990entries 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

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 9 August 2026 — this entry's latest reading, not the date you are reading this.

“еКоммерс | Макс Третьяков” (@Mtupd), 118 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/Mtupd.

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.