Селлер & Менеджер — место, где можно встретить селлера или менеджера маркетплейсов или другого ценного сотрудника.
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Без реклам и спама.
Н
Created
Between 1 October 2021 and 31 January 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
7 measurements spanning 6 days, net -124. 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 59,454–59,618 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 10:33
59,473
-40
11 Aug 2026, 12:03
59,513
-2
10 Aug 2026, 09:06
59,515
-30
9 Aug 2026, 08:31
59,545
-25
8 Aug 2026, 10:21
59,570
-29
7 Aug 2026, 07:17
59,599
+2
6 Aug 2026, 22:01
59,597
first reading
Engagement
73 posts held, back to 5 August 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 17 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
1.67%
avg views ÷ 59,473 subscribers
Avg views / post
992
73 posts measured
Reaction rate
0.149%
reactions ÷ views · ER floor
Posts in window
73
of 73 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 40 of 73 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 12 August 2026
Posts held
73 (5 August 2026 – 12 August 2026)
Views total
72,411
Reactions total
60
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 19:23 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
≈897
Videos
≈1
Links
≈3,070
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. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Reaction mix
60 reactions across 32 posts, in 5 distinct kinds. The most used accounts for 33.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
20
33.3%
👎
17
28.3%
👍
13
21.7%
🔥
9
15.0%
⚡
1
1.67%
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 40 of the 73 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 60reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 73 most recent posts we hold, published 5 August 2026 to 12 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.
#менеджер
Ruslan
Контактные данные:
Телеграм: @Ozon_ozon_ozonn
🕹Маркетплейс: Ozon
📎 Категории товаров:
мебель, одежда, продукты, обувь, косметика, автотовары, зоотовары, удобрения, игрушки
💰Успехи:
- за все время работы увеличивал чистую прибыль и снижал дрр более 100 магазинам , кейсы и резюме пришлю
▪️О менеджере
- Работаю по договору
- С начала считаю юнит предварительный
- Абс анализ
- Доработка карточек
…
#агентство
So a
Контактные данные:
Телеграм: @sona_marketica360
🕹Маркетплейс: WILDBERRIES
📎 Категории товаров:
3-минутный опрос для селлеров на Wildberries
💰Успешные кейсы:
Проводим опрос среди селлеров на Wildberries, чтобы лучше понять их потребности, сложности и ожидания.
▪️Об агентстве
Мы агентство, которое помогает усовершенствовать существующие сервисы для селлеров, разрабатывать новые инструменты, спосо…
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@zakazyff_bot
#менеджер
Владислав
Контактные данные:
Телеграм: @vvondervv
🕹Маркетплейс: WB + OZON
📎 Категории товаров:
Одежда мж, товары с ярко выраженной сезонностью
💰Успехи:
⚜️ 100 тыс проданных сапогов за сезон
⚜️ 1,5 млрд в заказах на пуховиках в высоком чеке
⚜️ Ищу работу на осенне-зимний сезон или на постоянную основу 🤠
▪️О менеджере
🔸Работаю удаленно
🔸Руководил продажами в MPSTATS Consulting
🔸Делаю нейрофото и дизайн…
#агентство
Офелия
Контактные данные:
Телеграм: @poryadok_yut
🕹Маркетплейс: ВСЕ МАРКЕТПЛЕЙСЫ
📎 Категории товаров:
Все категории
💰Успешные кейсы:
Кейс: Бренд косметики запустил 80 микроблогеров (1-10К подписчиков). Результат: рост продаж +250% за 10 дней. Конверсия 8%. Затраты в 50 раз меньше, чем у миллионников.
▪️Об агентстве
UGCмастерская — продвигаем через микроблогеров и UGC-контент. 100+ блогеров создают н…
#эксперт
Егор
Контактные данные:
Телеграм: @seowb_pro
🕹Маркетплейс: WILDBERRIES
📎 Категории товаров:
Любая, настрою работу под ваш запрос
💰Успешные кейсы:
Результаты внедрения рекомендаций:
• макс рост 293 млн/мес
• снижение ДРР в 5 раз до 1%
• улучшение ctr в 2 раза при тех же затратах
• полки в топ-5 без рекламы
• снижение стоимости логистики в 3 раза
▪️Об услугах
* получите перестройку логистики под текущий…
📌 Все вакансии и резюме автоматически размещаются на странице
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Вы можете отфильтровать по нужным вам критериям и найти нужного человека.
#менеджер
Инга
Контактные данные:
Телеграм: @Inga_Novayaa
🕹Маркетплейс: WILDBERRIES
📎 Категории товаров:
Любая категория
💰Успехи:
—Обувь: из убытка в прибыль со 2-го месяца (выручка до 60 млн)
—Одежда: 4.9 млн чистой прибыли с одной модели шапок при ДРР 2.6% и марже 27%
—Ювелирка: рост выручки в 3.5 раза в 1-й месяц
—Карточки: вывод в топ с нуля до 4.5-5.3 млн/мес
▪️О менеджере
📍Высшее мат. образование
📍Опыт: …
#селлер
Татьяна
Контактные данные:
Телеграм: @tvt77
🕹Маркетплейс: Ozon
📎 Категории товаров:
Автомобильные чехлы
💰Выручка магазина в месяц:
10 000 000+
▪️Какого менеджера ищу
✔️ Опыт работы на OZON от 2 лет, реальные кейсы с оборотом от 20 млн ₽ и ведением магазина 100+ SKU
✔️ Опыт управления рекламным бюджетом от 500 000 ₽/мес
✔️ Навыки планирования продаж, P&L и работы с маржинальностью
✔️ Опыт работы с огран…
#менеджер
Денис
Контактные данные:
Телеграм: @denisyakupov
🕹Маркетплейс: WB / Ozon
📎 Категории товаров:
одежда, электроника, товары для дома, косметика, цифровые товары, аксессуары, еда
💰Успехи:
Вывел с нуля более 30 магазинов на стабильную выручку 10–40 млн ₽/мес на Wildberries и Ozon. Ежемесячно управляю рекламными бюджетами 3–5 млн ₽.
▪️О менеджере
Работаю за процент от продаж — мой доход напрямую привязан …
🔥Логист AI — Реши вопрос логистики и фулфилмента за 1 минуту.
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@findskladbot
Showing the 12 most recent of 73 posts we hold for @sellerman. 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 — 800,173 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.
Mentions
Named by 5 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.
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 #17 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.
“Селлеры и Менеджеры, Инфографика, Вакансии и резюме WB OZON YM” (@sellerman), 59,473 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/sellerman.
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.