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Channel

Мельников: в рекламе на ВБ📊

@Melnikov_WBmarketing

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

4,335subscribers

-30 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002253530641
TypeChannel
Username@Melnikov_WBmarketing
CreatedBetween 1 October 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live16 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/Melnikov_WBmarketing

Growth

4,3354,3654,3507 August 2026 — 4,365 subscribers7 August 2026 — 4,365 subscribers10 August 2026 — 4,356 subscribers13 August 2026 — 4,347 subscribers16 August 2026 — 4,335 subscribers7 August 202616 August 2026
5 measurements spanning 9 days, net -30. 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 4,331–4,370 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 18:284,335-12
13 Aug 2026, 09:364,347-9
10 Aug 2026, 05:134,356-9
7 Aug 2026, 12:444,365no change
7 Aug 2026, 09:164,365first reading

Engagement

19 posts held, back to 29 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 6 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
18.2%
avg views ÷ 4,335 subscribers
Avg views / post
790
19 posts measured
Reaction rate
1.51%
reactions ÷ views · ER floor
Posts in window
19
of 19 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 8 August 2026
Posts held19 (29 July 20268 August 2026)
Views total15,006
Reactions total226
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 18:18 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.

Reaction mix

226 reactions across 19 posts, in 11 distinct kinds. The most used accounts for 51.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
11751.8%
👍4921.7%
🔥187.96%
🤬156.64%
💯83.54%
🙏83.54%
🤯52.21%
👎20.885%
😁20.885%
🙈10.442%
🥴10.442%

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 19 of the 19 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 226reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 29 July 2026 to 8 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
7
across the posts below
Posts paid on
3
of 19 we hold a reading for · 16%
Most on one post
5
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Melnikov_WBmarketing. 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 19 most recent posts we hold for this entry, published 29 July 2026 to 8 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

8 Aug 2026, 16:45 UTC180 views9 reactionsread 8 August 2026

Что мне сейчас помогает не отчаиваться и не сдаваться Очень давно нашёл для себя работающий метод, который применяю каждый раз при любой неизвестности: общаться с людьми, которые уже это прошли В ситуации по складам чуть сложнее, т.к. такое со всеми нами впервые, но даже сам факт коммуникации сильно помогает 2 недели назад встречались с Михаилом Линником в Ростове и с ещё 4мя селлерами, когда у меня прям лёгкая п

6👍3

7 Aug 2026, 15:15 UTC513 views25 reactionsread 8 August 2026

Одна вещь, которая многим невыгодна Курсы по МП почти не работают. И говорю я это как человек, который и сам проходил, и покупал команде Рыжего, Евирму, Кулешову, Тузелям (если помните такое) и т.д. Смотрите, как это обычно бывает Вы уже проходили ряд курсов и в целом уже имеете какой-то опыт на ВБ. В какой-то момент хочется расти или финансово, или профессионально Вас "ловит" эксперт, который больше всего в моме

14💯6👍5

6 Aug 2026, 13:04 UTC604 views7 reactionsread 8 August 2026
Photo

Рассказываю через час про ФБС, ссылка ТУТ — https://t.me/yacenkoConfBot?start=mihmel Спикеры выдают подарки просто за регистрацию: Андрей Яценко — отчет по потерянным товарам на ВБ Михаил Мельников — ежедневно обновляющаяся таблица расчета поставок для покрытия регионов Светлана Ярмухаметова — таблица для расчета плановой юнитки Озон Лидия Крафт — план адаптации сотрудника на первые 30 дней Бесплатно, просто зарег

3👍3🔥1

6 Aug 2026, 08:12 UTC628 views3 reactionsread 8 August 2026
Photo

Антикризисные меры, сравнение 30 ВБ/Озон кабинетов 1️⃣ Самые быстрые и стрессоустойчивые сразу подсуетились и уже нашли себе ФФ, уже отгружают на ФБС и сравнивают, есть ли проблемы, как выглядит итоговая скорость доставки и т.д. 2️⃣ Другие замерли, не делают активных действий или делают очень осторожно, сначала выжидая пару тройку успешных кейсов и протоптанной дорожки Мы последние 2 недели сами нашли ряд хороших

2🙏1

5 Aug 2026, 13:38 UTC735 views18 reactionsread 8 August 2026
Photo

Если у вашего рекламщика ЭТОГО нет — задумайтесь На скринах РНП Impulse https://mpump.pro. Мы подключаем его к каждому кабинету, с кем работаем по ВБ и с недавних пор по Озону, Озона у них раньше не было По нашему скромному мнению, Impulse — лучший сервис для аналитики рекламы 🗃10 дней бесплатного доступа чисто от души, если вы вдруг ещё не тестили — https://app.mpump.pro/tariff?type=subscription&ref=melnikconsult

9👍5🔥4

4 Aug 2026, 15:12 UTC780 views12 reactionsread 8 August 2026
Photo

⬜️ Сделали Х3 и снизили ДРР с 18 до 7% при том же бюджете Последний пост про Озон, честно) Как минимум, на сегодня😁 Один из недавних кейсов в товарке, 3 артикула, на скринах процесс и результаты каждого из них за 4 недели работы. По факту даже за 3 недели, т.к. первая неделя всегда подготовительная Было до начала работы: 🔘Заказы по трём артикулам: 150 тыс. ₽ в неделю 🔘Рекламный бюджет: 27 тыс. ₽ в неделю 🔘ДРР: 18

👍7🔥41

4 Aug 2026, 13:41 UTC723 views5 reactionsread 8 August 2026
Photo

Бесплатный разбор по OZON, что получите Аналогично, как и с ВБ, 20-30 мин видео в записи от нашего специалиста Конкретная польза и практические советы, без воды 1. Анализируем саму карточку и воронку 2. Через МПстатс проверяем, сколько и какие главные тестили 3. Анализируем нашу цену и конкурентов 4. Склады, откуда продаёмся 5. Акции, насколько участвуем, особенно, если новая карточка 6. Стоимость размещения, обор

3👍2

4 Aug 2026, 11:34 UTC736 views15 reactionsread 8 August 2026
Photo

Почему селлеры (и наши в т.ч.) бегут на OZON? На скрине пример фин отчёта, где соинвест (аналог СПП) +- равен всем комиссиям маркетплейса На ВБ с этим ситуация похуже. Комиссия всегда выше СПП, особенно в одежде Это пример как раз соинвеста на одежду) В колонке "Комиссия Total" начисления за комиссию, логистику, складское обслуживание То есть, мы НИЧЕГО не заплатили Озону по итогу по этим начислениям. Реально м

8👍3💯2👎1😁1

4 Aug 2026, 09:00 UTC709 views7 reactionsread 8 August 2026
Photo

Спасёт ли нас всех переход на ФБС? В этот четверг выступаю на онлайн-конфе для селлеров «Рычаги прибыли» Кто не смог быть на эфире недельной давности про ФБС — приходите, будет повтор + актуализация действий на сегодняшний момент 👉 Зарегистрироваться: https://t.me/yacenkoConfBot?start=mihmel Поговорим о том, как продолжать зарабатывать в текущих условиях, спасет ли всех переход на ФБС, какие KPI ведут к прибыли,

4🙏2👍1

3 Aug 2026, 10:25 UTC846 views7 reactions1 Starread 8 August 2026

Как лидеры категорий получают преимущество перед конкурентами? 1. Их товару везёт не сгореть :) 2. Их товар подходит, чтобы перестроиться под ФБС 3. Их товар подходит, чтобы оптимизироваться через внешнюю рекламу Про 3 пункт подробнее⤵️ Помните, неделю назад Давид Мовсесян опубликовал свой платный курс бесплатно для всех? К антикризисной пользе присоединяется наша хорошая знакомая Анастасия @raphoenix_blog — эксп

4👍3

2 Aug 2026, 13:07 UTC914 views11 reactions5 Starsread 8 August 2026
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Ростовский детокс. А вы как отдыхаете от новостей? Кидайте свои фото в комментарии👇 Давайте мысленно отдохнём, порадуемся друг за друг и может вдохновимся кем-то и заберём его идею отдыха себе)

8🔥2😁1

1 Aug 2026, 16:28 UTC≈1,110 views30 reactionsread 8 August 2026

Только для менеджеров Просим помощи Пожалуйста, посмотрите в свой список контактов и отправьте нам контакт селлера/бренда, кому можно или нужно помочь с рекламой и продвижением Напомню, что мы в формате консалтинга ведём селлерам на ВБ и ОЗОН рекламу. Суммарно в управлении +- 140 млн в заказах, средний ДРР 8% В связи с последними событиями, ряд проектов на паузе на неопределённый срок. А новые "замерли" Вся ситу

23🙏4👍3

Showing the 12 most recent of 19 posts we hold for @Melnikov_WBmarketing. 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 — 139,665 of 1,549,704entries 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 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.

Names

Channels on the register whose handles appear in this channel's posts.

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

“Мельников: в рекламе на ВБ📊” (@Melnikov_WBmarketing), 4,335 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/Melnikov_WBmarketing.

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.