Video message, posted without a caption
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Channel
@seotrener1
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
28,597subscribers
-136 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001588314986 |
|---|---|
| Type | Channel |
| Username | @seotrener1 |
| Description | - Владелец бренда MOZZAR - Предприниматель с 2009 года - Многодетный отец :) - Основатель Лагерь PRO Аккаунт для связи @lagerPROsales Регистрация в перечне РКН: https://gosuslugi.ru/snet/6799dc48b80f7d7164cebfb2 |
| Created | Between 1 August 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 10 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/seotrener1 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 19:47 | 28,597 | -39 |
| 14 Aug 2026, 08:15 | 28,636 | -30 |
| 12 Aug 2026, 22:25 | 28,666 | -15 |
| 11 Aug 2026, 19:57 | 28,681 | -1 |
| 10 Aug 2026, 22:45 | 28,682 | -28 |
| 9 Aug 2026, 23:35 | 28,710 | -17 |
| 8 Aug 2026, 20:55 | 28,727 | -5 |
| 7 Aug 2026, 22:02 | 28,732 | -1 |
| 7 Aug 2026, 10:00 | 28,733 | no change |
| 7 Aug 2026, 09:58 | 28,733 | first reading |
20 posts held, back to 13 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 24 pagesof Telegram’s post history, 20 posts per page.
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 14 of 15 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 14 August 2026 |
|---|---|
| Posts held | 20 (13 July 2026 – 14 August 2026) |
| Views total | 37,451 |
| Reactions total | 295 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 16 Aug 2026, 04:49 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.
Lifetime counters from Telegram’s own channel header, read 16 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.
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.
329 reactions across 18 posts, in 15 distinct kinds. The most used accounts for 50.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 165 | 50.2% | |
| ❤ | 75 | 22.8% | |
| 👍 | 41 | 12.5% | |
| 👏 | 12 | 3.65% | |
| 💊 | 7 | 2.13% | |
| ⚡ | 6 | 1.82% | |
| 😁 | 5 | 1.52% | |
| 🙏 | 4 | 1.22% | |
| 🤩 | 4 | 1.22% | |
| 🙈 | 3 | 0.912% | |
| custom 5249044429121012310 | 2 | 0.608% | |
| 🤝 | 2 | 0.608% | |
| 👀 | 1 | 0.304% | |
| 💯 | 1 | 0.304% | |
| 😨 | 1 | 0.304% |
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 isTelegram’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 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 329reactions 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 13 July 2026 to 14 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.
Video message, posted without a caption
🔥43❤11⚡4
☀️Играюсь в нейроконтент для MOZZAR! Хотим с Мариной потестить одну гипотезу по виральному контенту. Как вам движения (ритм) и вообще что думаете? Кстати девчонки в кадре в наших платья! И поделитесь, пробовали сеить контент и вести на свой сайт?
🔥18❤9😁4🙈3⚡1👀1👍1👏1
Сменил стратегию в челлендже 2.0 и вот, что из этого получилось⤵️ Друзья, если вы следите за моим челленджем на канале MPSTATS, то знаете: в 5-й серии я поменял направление и ушёл из товарки в одежду. Поменял низкомаржинальные шатры на юбки, потому что цифры показали: там больше денег. Все серии челленджа здесь: 🟢Начало 🟢Первый выпуск 🟢Второй выпуск 🟢Третий выпуск 🟢Четвертый выпуск 🟢Пятый выпуск В 6-м выпуске: • …
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Как говорится, вы сами это выбрали... Вчера выбирали тему для нашей завтрашней встречи онлайн — и большинство выбрали МАРКЕТИНГ🔥 Значит, завтра 30 июля в 19:00 Мск встречаемся и разбираем именно его. Тема эфира: "Маркетинговые активности для поддержки магазина на WB" Но если по-простому: что сейчас делать с рекламой, расходами и продвижением, чтобы не сливать деньги впустую. Вместе спокойно и по цифрам разберём: …
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Posted without readable text
💥💥💥💥💥💥💥 Вчера провел эфир, который я сам для себя называю “рука помощи”. Потому что сейчас на WB у многих не просто рабочая турбулентность, у людей горят склады, зависают остатки, меняется логистика, растут расходы, сыпется привычная экономика. Единственный вопрос у всех — что делать дальше?... На эфире я как раз хотел не нагнать тревоги, а наоборот - разложить всё спокойно, ровно и конкретно. Без паники. Без “вс…
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В Marpla вышли дашборды - аналитическая сводка по кабинету 📊 Теперь вся важная аналитика под рукой: показатели по кабинету, РК, SKU и конверсиям можно смотреть в одном окне. Не просто цифры, а понятная динамика. В дашбордах уже встроено сравнение с предыдущим периодом, поэтому сразу видно, где рост, и какие показатели требуют внимания. В дашбордах собраны основные блоки: Операционные показатели — сумма заказов рас…
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🏁💥💥💥💥💥 Разбираем, что делать селлеру на WB сейчас Прямо сейчас разбирем ситуацию на WB и что делать селлеру, чтобы не принимать решения в панике. Подключайтесь ⤵️⤵️⤵️ СМОТРЕТЬ ЭФИР
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⏺Меняю тему сегодняшнего эфира Ребят, сегодня в 19:00 хотел говорить про тренды и товары на осень. Но тему меняю. Хочу дать вам конкретный план действий, что сделать прямо сейчас: спокойно, ровно, не наломав дров и как дальше строить бизнес, когда риски стали ещё выше. Склады горят. Товары теряются. Люди считают убытки. У кого-то в моменте под угрозой весь оборот. И я понимаю, что многие сейчас сидят с одним воп…
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🟢Сегодня в 19:00 Мск разбираем ТРЕНДЫ Не те, которые уже три месяца продают все подряд, а те, которые нужно попытаться найти заранее: на осень, зиму и следующий сезон. Покажу: • где искать такие товары, • какой период смотреть, • как отсекать старые артикулы, • как потом проверять найденное через MARGINIZER. ⏰Сегодня, 23 июля, в 19:00 Мск. Регистрироваться не нужно. Ссылку на эфир выложу здесь за 15 минут до нача…
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Я не договорил... 😅За 8 минут сложно рассказать про тренды всё и про то, как мыслить и считать наперед, чтобы не играть в шоу интуиция. Пока записывал ответ про осенние товары, понял, что там вопросов ещё на полноценный эфир. Потому что одно дело — открыть аналитику и найти артикулы, которые продавались в прошлом сезоне, а другое — понять: 📌тренд только начинается или вы уже прибежали последними, 📌какой период воо…
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🔎Как сейчас искать товар на осень, если сезон ещё не начался? Ребят, на последнем эфире мне задали сразу несколько схожих вопросов: ➡️Как сейчас найти товар на осень или зиму? ➡️Как нащупать этот тренд с помощью аналитики? ➡️Как найти артикул, который имеет смысл запускать осенью? ➡️Как смотреть аналитику не по лету, а на сезон вперёд - на осень/зиму? Записал ответ👆 Получилось емко на восемь минут — урезать не ст…
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Showing the 12 most recent of 20 posts we hold for @seotrener1. 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.
@seotrener1 edited 1 post 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.
Citation-graph rank — 323,858 of 1,481,217entries 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Named by 2 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.
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.
This channel appears in 4 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“Вячеслав Малых” (@seotrener1), 28,597 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/seotrener1.
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.