#РешилиНеЗапускать 👶 Видео-няня (video baby monitor) Изначально товар показался интересным, но после тщательной аналитики пришли к выводу, что в нишу не полезем. Как пришли к решению: 1. Собрали по ключевым словам прямых конкурентов, исключая товары, которые сильно отличаются от того, что мы хотели бы продавать. 2. Посмотрели цены. Так как разброс довольно большой – взяли в качестве ориентира среднее арифметичес…

Channel
Денис Быков про Амазон
@denisproamazon
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
3,816subscribers
-14 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 | -1001721252068 |
|---|---|
| Type | Channel |
| Username | @denisproamazon |
| Created | Between 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 21 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 21 August 2026 |
| On Telegram | t.me/denisproamazon |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 21 Aug 2026, 13:44 | 3,816 | -4 |
| 18 Aug 2026, 05:13 | 3,820 | -2 |
| 11 Aug 2026, 07:31 | 3,822 | -7 |
| 7 Aug 2026, 23:05 | 3,829 | -1 |
| 7 Aug 2026, 09:31 | 3,830 | first reading |
Engagement
15 posts held, back to 5 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 4 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 4.62%
- avg views ÷ 3,816 subscribers
- Avg views / post
- 176
- 6 posts measured
- Reaction rate
- 1.22%
- reactions ÷ views · ER floor
- Posts in window
- 6
- of 15 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 4 of 6 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 15 (5 July 2026 – 6 August 2026) |
| Views total | 1,058 |
| Reactions total | 9 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 06:10 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
- 2m 38s
- Average length
- 32s
Measured directly from 5 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.
Reaction mix
13 reactions across 6 posts, in 3 distinct kinds. The most used accounts for 53.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 7 | 53.8% | |
| 👍 | 5 | 38.5% | |
| 😢 | 1 | 7.69% |
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 6 of the 15 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 13reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 5 July 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.
Recent posts
К каким выводам я пришел за 7 лет работы с Амазон 📝 Вывод 1. В бизнесе на Амазон нет специалиста, который построит бизнес за вас Возьмём поиск товара. Не будет такого, что придет человек, найдет классный товар, все просчитает, а вам останется лишь запуститься и успевать шить мешки для денег. Я работал с кучей специалистов по поиску товаров, но ни один из них не давал тех идей, которые мы с командой РЕАЛЬНО смогли…
🔥2
Каких специалистов лучше нанимать в команду: опытных или новичков, которых сам обучишь? Вопрос от Дмитрия из Бельгии. Ответ в видео ☝️ #СпросиДениса
🔥1
💸 Small & Light: продавай дешевле, зарабатывай больше Small & Light – это программа от Амазон со сниженными комиссиями FBA для товаров маленького размера (помещаются в почтовый конверт), стоимостью до 10$. А теперь немного математики и подробный расчет на скрине. Получается, что продавая товар по 9.99$ мы экономим: • на комиссии FBA; • на комиссии Амазона, поскольку она рассчитывается от стоимости товара; • ну и …
🔥1
Пост смешной – ситуация страшная 😆 А теперь представьте, что это ваш товар. Что сделали бы, чтобы перестать выхватывать негатив от покупателей?
👍4😢1
🎙 Подборка полезных подкастов про Амазон ▶️ Чем европейский Амазон отличается от американского – и как понять, на какой рынок выходить в первую очередь. ▶️ С каким товаром на самом деле нужно стартовать – не только мои выводы, но и опыт десятков клиентов. ▶️ FBA или FBM – какой формат выбрать и почему. ▶️ Команда – как собрать и кого нанимать в первую очередь. ▶️ Бонусный подкаст – про жизнь в Европе, бизнес, и …
Как на Амазон организованы оплата и бухгалтерия в целом? Вопрос от Виктории из Мадрида. Ответ в видео ☝️ #СпросиДениса
⚒️ Как дорабатывать товар на основе запросов целевой аудитории Регулярно говорю в постах, что товар должен быть таким, каким его хотят видеть покупатели. То есть, его нужно дорабатывать, делать лучше. Но что это значит на практике: «дорабатывать» и «делать лучше»? Звучит абстрактно, поэтому сегодня поделюсь конкретным примером. Недавно мы с командой запустили очередной товар в нише подарков. Он абсолютно новый, у…
#РешилиНеЗапускать 🥞 Компактная электрическая блинница (electric pancake maker) Друзья, многим из вас интересно, как мы с командой ищем товары для запуска: что в итоге берём в работу, а от чего побыстрее открещиваемся. Покажу немного внутрянки этого процесса. Сегодня речь про товар, от запуска которого отказались: компактная электрическая блинница (скрин оставлю в комментариях). Отказались довольно быстро, и вот…
🔥3
Как выбирать подрядчиков для выполнения тех или иных задач по Амазон? Вопрос от Дениса из Венгрии. Ответ в видео ☝️ #СпросиДениса
Хотите заглянуть в мой офис? Тогда приглашаю🤝 В сентябре мы выпустили видео на Youtube c экскурсией по моему офису. Показали команду (точнее ее часть), как у нас все устроено, как девчонки собирают наш товар. + Взяли небольшое интервью у Кристины, моей сотрудницы. Она занимается поиском товаров. Рассказывает, из чего состоит ее работа. В видео я также рассказываю, почему сами держим небольшое производство и обяза…
#Глоссарий. ACoS Advertising Cost of Sales – одна из ключевых метрик результативности и эффективности рекламных кампаний на Амазон. Показывает, какой процент с дохода от продажи одной единицы товара вы тратите на рекламу этого товара при текущих настройках PPC. Например, ACoS 20%. А доход с продажи одного товара – 10 долларов. Это значит, что чтобы получить эти 10 долларов, вам нужно потратить 2 доллара на рекламу.…
Showing the 12 most recent of 15 posts we hold for @denisproamazon. 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 — 438,623 of 1,584,420entries 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 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.
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 21 August 2026 — this entry's latest reading, not the date you are reading this.
“Денис Быков про Амазон” (@denisproamazon), 3,816 subscribers as measured 21 August 2026. Telegram Register, tgregister.com/channel/denisproamazon.
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.