Ключевые цифры fashion-рынка России 2025-2026
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Channel
@ecomm_guru
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
160subscribers
-1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001696402161 |
|---|---|
| Type | Channel |
| Username | @ecomm_guru |
| Created | Between 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/ecomm_guru |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 22:15 | 160 | -1 |
| 8 Aug 2026, 17:01 | 161 | no change |
| 7 Aug 2026, 12:49 | 161 | first reading |
13 posts held, back to 25 October 2024 — the 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 13 posts for this entry, the most recent from 24 December 2025. An engagement rate over an empty window would be a number about nothing.
Measured directly from 2 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.
90 reactions across 12 posts, in 9 distinct kinds. The most used accounts for 28.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| custom 5373310043586310463 | 26 | 28.9% | |
| custom 5406578843081258268 | 25 | 27.8% | |
| custom 5364201435858744869 | 16 | 17.8% | |
| 🔥 | 8 | 8.89% | |
| custom 5408846830626681557 | 4 | 4.44% | |
| 👍 | 4 | 4.44% | |
| ❤ | 3 | 3.33% | |
| ❤🔥 | 3 | 3.33% | |
| 👏 | 1 | 1.11% |
Custom emoji. 4 of the rows above are 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 counts beside them areTelegram’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 12 of the 13 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 90reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 25 October 2024 to 24 December 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Ключевые цифры fashion-рынка России 2025-2026
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Креативный подход к контенту в каталоге товаров 🤩
👍3custom 53642014358587448693custom 53733100435863104633custom 54088468306266815572🔥1
Обычно в этом канале я делюсь только своими полезными материалами. Но сегодня я посмотрела подкаст с Павлом Кочкиным о партнёрствах и, думаю, он будет полезен многим. Тема партнёрства раскрыта глубоко, без воды, с настоящим пониманием процессов. А ведь партнёрства важны нам всем — и в жизни, и в бизнесе. Ссылка тут, enjoy)
custom 53642014358587448693🔥2custom 53733100435863104632custom 54065788430812582681
На этой неделе провела лекцию и бизнес-разборы кейсов селлеров маркетплейсов на тему создания и развития собственного товарного бренда. Запись тут. 3 часа концентрированной пользы для тех, кто строит или хочет запустить свой бренд в нишах fashion / beauty / home / kids. На встрече разобрали: — Зачем вкладываться в собственный бренд и стратегию, — Как исследовать аудиторию и отстроиться от конкурентов, — Из чего сос…
custom 53733100435863104633custom 53642014358587448692❤1🔥1custom 54065788430812582681
Инвестор и Создатель: 2 типа предпринимателей в fashion / beauty индустрии Я выделяю два типа предпринимателей в товарном fashion / beauty бизнесе: одни заходят только ради денег, другие — чтобы воплотить свои идеи. От конечных целей зависят все ключевые решения: стратегия, каналы продаж, упаковка, маркетинг. Определите ваш тип и получите рекомендации по ведению бизнеса в этой статье.
custom 53733100435863104632custom 54065788430812582682❤1custom 53642014358587448691
Самый частый вопрос, который я слышу от клиентов: с чего начать запуск и продвижение fashion или beauty-бренда и сколько это стоит? ⠀ Хорошая новость: теперь есть подробный ответ в видео-формате! ⠀ Вик Довнар пригласил меня на подкаст, где мы разложили всё по полочкам: — поэтапный план запуска, — стратегии для разных ниш и бюджетов, — какие каналы продаж и маркетинга работают лучше всего в 2025г, — в чем главный секр…
custom 54065788430812582687custom 53733100435863104634custom 53642014358587448693🔥1
На YouTube канале опубликована запись выступления на самую актуальную тему конференции по электронной коммерции: Как интернет-магазину конкурировать с маркетплейсами. Буду рада комментариям и обратной связи! #продажи #маркетплейсы #онлайнмагазин
custom 53733100435863104636custom 54065788430812582684custom 53642014358587448692🔥1
Написала статью о том почему всем интернет-магазинам нужно подключать Почту России и как получить скидки на их тарифы. В эту же тему прикладываю пошаговую инструкцию по подключению и работе с ними. Промокод на скидку 15% на тарифы для новых клиентов: GURU2025. Подробнее про скидку на сайте Почты России
custom 54065788430812582683custom 53733100435863104632👏1custom 53642014358587448691
В процессе работы над очередной стратегией я наконец решила подготовить статью для брендов о том, что такое трендвотчинг, почему он необходим и как эффективно с ним работать. Читать тут Всем прекрасного дня!
custom 54065788430812582684🔥1custom 53733100435863104631custom 54088468306266815571
И следом любопытная статья от Forbes
custom 53733100435863104631custom 54065788430812582681custom 54088468306266815571
Скидки очень сильно влияют на бизнес, поэтому я давно собиралась написать практическую статью на эту важную тему. И наконец это случилось 😊 Читать тут
custom 53733100435863104632custom 54065788430812582682custom 53642014358587448691
Photo, posted without a caption
Showing the 12 most recent of 13 posts we hold for @ecomm_guru. 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 — 1,231,144 of 1,480,975entries 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.
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.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“Онлайн-продажи fashion, beauty, home товаров” (@ecomm_guru), 160 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/ecomm_guru.
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.