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Channel

МАШГРУПП - таможенное оформление

@mashgroup_pro

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

1,342subscribers

+14 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002357287872
TypeChannel
Username@mashgroup_pro
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live30 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 30 August 2026
On Telegramt.me/mashgroup_pro

Growth

1,3281,3421,3357 August 2026 — 1,328 subscribers7 August 2026 — 1,328 subscribers10 August 2026 — 1,329 subscribers14 August 2026 — 1,331 subscribers17 August 2026 — 1,332 subscribers20 August 2026 — 1,339 subscribers27 August 2026 — 1,340 subscribers30 August 2026 — 1,342 subscribers7 August 202630 August 2026
8 measurements spanning 23 days, net +14. 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 1,326–1,344 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
30 Aug 2026, 17:231,342+2
27 Aug 2026, 07:351,340+1
20 Aug 2026, 05:571,339+7
17 Aug 2026, 11:131,332+1
14 Aug 2026, 08:471,331+2
10 Aug 2026, 14:221,329+1
7 Aug 2026, 22:301,328no change
7 Aug 2026, 13:321,328first reading

Engagement

17 posts held, back to 5 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
33.3%
avg views ÷ 1,342 subscribers
Avg views / post
447
1 post measured
Reaction rate
2.91%
reactions ÷ views · ER floor
Posts in window
1
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 6 August 2026
Posts held17 (5 June 20266 August 2026)
Views total447
Reactions total13
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 22:30 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
54s
Average length
54s

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

266 reactions across 16 posts, in 11 distinct kinds. The most used accounts for 45.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍12045.1%
6223.3%
🔥5018.8%
🎉186.77%
😨72.63%
20.752%
👏20.752%
🤔20.752%
10.376%
😱10.376%
🙏10.376%

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 16 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 266reactions 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 5 June 2026 to 6 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.

Telegram Stars

Stars received
20
across the posts below
Posts paid on
6
of 16 we hold a reading for · 38%
Most on one post
13
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @mashgroup_pro. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 17 most recent posts we hold for this entry, published 5 June 2026 to 6 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

6 Aug 2026, 07:56 UTC447 views13 reactionsread 7 August 2026
Photo

Ввозите авто в Россию? Остерегайтесь скрытых переплат! Для каждого автомобиля, перед подачей документов в таможню, подготавливается экспертиза на определение технических характеристик. Это обязательный документ для таможни, который подтверждает реальные данные вашей машины — и в первую очередь, мощность двигателя. 🔴В чем кроется подвох? Даже если по документам продавца всё выглядит идеально, по результатам россий

👍94

29 Jul 2026, 04:47 UTC840 views13 reactions1 Starread 7 August 2026

Друзья, продолжаем! 🚀 Как и обещали, публикуем вторую часть ответов на ваши вопросы с вебинара. Продолжаем разбирать интересные вопросы, которые не поместились в прошлый пост. Читайте финальную порцию ответов. Поехали👇 🔴"Какая вероятность, что вызовут на личную явку, при покупки нового автомобиля с оценкой "S"?" Ответ: Оценка автомобиля никак не влияет на вероятность вызова в таможню. Чтобы избежать лишних вопрос

👍85

27 Jul 2026, 06:25 UTC919 views17 reactionsread 7 August 2026
Video

«Пришла предварительная квитанция на оплату таможенных платежей. Что делать?» Друзья, Наталья ответила на этот вопрос в нашем небольшом ролике⬆️ 🔴Если коротко: это абсолютно нормальная практика. Сейчас декларации подаются с уже пополненным лицевым счетом на сайте ФТС — так ваша машина выйдет с таможни гораздо быстрее. Если у вас есть вопросы по оплате таможенных платежей — пишите в комментарии, разберем 👇 _______

👍6🔥65

23 Jul 2026, 07:57 UTC≈1,360 views23 reactionsread 7 August 2026

Друзья! Как и обещали, возвращаемся с ответами на ваши вопросы после вебинара. Вы накидали столько интересных ситуаций, что в один пост всё просто не влезло! Поэтому мы разделили разбор на две части. Читайте первую порцию ответов. Начинаем👇 🔴"Почему в Москве ставка на пошлины меньше, чем считают в Уссурийске?" Ответ: Сама ставка таможенной пошлины едина на всей территории РФ. Итоговая сумма платежа зависит исключи

👍145🔥4

20 Jul 2026, 08:01 UTC≈1,350 views11 reactions2 Starsread 7 August 2026
Photo

Вы просили запись — мы делимся! 🔥 Друзья, в прошлую среду прошел наш эфир, и он получился максимально насыщенным! 15 июля специалисты «Феникс Азия» и «Машгрупп» разобрали два важных вопроса для покупателей автомобилей из Японии: 🔴 почему из машин перед отправкой могут изъять колёса, электронику и другие вложения; 🔴 зачем владельца вызывают в таможню на личную явку и как к ней подготовиться. Кто пропустил или хоче

👍7🔥31

15 Jul 2026, 05:00 UTC≈1,370 views10 reactionsread 7 August 2026
Photo

Друзья! Наш вебинар уже начался! 🔥 ​Если вы не получили ссылку для входа, вот она: https://vkvideo.ru/video-228576839_456239144 ​Программа вебинара: ​🇯🇵 Часть 1. Спикер «Феникс Азия»: Что вытаскивают из машин в японских портах? — Хронология санкций: когда они появились и к чему готовиться дальше — Что конкретно попадает под запрет на вывоз — В каких портах Японии инспекторы относятся к вложениям более снисходите

4👍3🔥3

14 Jul 2026, 02:10 UTC≈1,300 views19 reactions1 Starread 7 August 2026
Video message

Video message, posted without a caption

6👍5🔥51👏1🙏1

9 Jul 2026, 07:42 UTCviews —

МАШГРУПП - таможенное оформление pinned a photo

9 Jul 2026, 07:42 UTC≈4,470 views18 reactions13 Starsread 7 August 2026
Photo

«Куда из машины делись мои колеса?!» и «Зачем меня вызывают в таможню?!» — два главных вопроса, от которых седеют покупатели авто в 2026 году. 🔴Правила игры изменились. Японские порты из-за санкций безжалостно чистят машины перед отправкой, выкидывая личные вещи и электронику. А когда авто приходит во Владивосток, вместо быстрого выпуска и долгожданного ЭПТС может прийти неожиданное уведомление — требование явиться

🔥10👍53

2 Jul 2026, 07:35 UTC≈1,520 views19 reactions2 Starsread 7 August 2026
Photo

С Днём города, Владивосток! 🌊 Уважаемые земляки, клиенты и партнеры! Компания «Машгрупп» поздравляет вас с днем рождения нашего прекрасного города! Владивосток — это главные морские ворота страны, важнейший логистический хаб и город с уникальным автомобильным характером 🏎 Работая в сфере таможенного оформления, мы ежедневно чувствуем ритм этого города и делаем всё, чтобы автомобили из Азии быстро и надежно попадал

🎉134👍2

2 Jul 2026, 05:32 UTC≈2,590 views22 reactionsread 7 August 2026
Photo

Опасность «пограничного года»: как можно потерять сотни тысяч рублей из-за одного дня задержки В сфере импорта автомобилей термин «проходной возраст автомобиля» означает период, при котором ставки таможенных пошлин минимальны. В России этот промежуток определен строго в рамках от 3 до 5 лет с момента выпуска автомобиля. Давайте разберем, как это считает таможня, на простом примере: Представим, что сегодня — 1 июля

👍128🔥2

25 Jun 2026, 01:50 UTC≈1,380 views17 reactionsread 7 August 2026
Photo

🔴 Частые ошибки при растаможке авто, которые приводят к задержкам. Мы начинаем цикл постов, посвященный разбору типовых ошибок в документах. Это те самые мелочи, которые не являются катастрофой, но регулярно приводят к временным задержкам, лишним расходам и вопросам со стороны инспекторов. И начнем мы с одного из главных транспортных документов — коносамента. Представьте: на одном пароходе может плыть несколько со

👍11🔥42

Showing the 12 most recent of 17 posts we hold for @mashgroup_pro. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Citation-graph rank

Citation-graph rank — 468,479 of 1,627,068entries 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.

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.

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

“МАШГРУПП - таможенное оформление” (@mashgroup_pro), 1,342 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/mashgroup_pro.

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.