О визуальном контенте для маркетплейсов (МП). Как поднять продажи на МП и как организовать свой доход, создавая контент для них.
Курс AI-контент продаёт https://contentmakermp.ru
ИП Пулькин А.Г.
ИНН 291401614620
Оферта clck.ru/3GSH8o
РКН 7075104726
Created
Between 1 March 2023 and 31 December 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 64% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
Growth
63 measurements spanning 97 days, net +55. 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 11,973–12,148 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)
Subscribers
Change
12 Nov 2026, 09:49
12,050
-11
10 Nov 2026, 09:17
12,061
-17
8 Nov 2026, 22:54
12,078
+1
7 Nov 2026, 12:47
12,077
-15
6 Nov 2026, 12:46
12,092
-7
5 Nov 2026, 13:26
12,099
+5
4 Nov 2026, 13:27
12,094
-3
3 Nov 2026, 10:06
12,097
+4
2 Nov 2026, 08:26
12,093
-3
1 Nov 2026, 11:06
12,096
-3
31 Oct 2026, 10:50
12,099
-3
30 Oct 2026, 09:39
12,102
-21
29 Oct 2026, 11:19
12,123
-2
28 Oct 2026, 13:04
12,125
-1
27 Oct 2026, 10:31
12,126
+2
25 Oct 2026, 11:56
12,124
-4
24 Oct 2026, 08:49
12,128
+6
23 Oct 2026, 12:06
12,122
+4
22 Oct 2026, 09:56
12,118
+5
21 Oct 2026, 05:29
12,113
first reading
Engagement
29 posts held, back to 9 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 68 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
18.6%
avg views ÷ 12,050 subscribers
Avg views / post
2,250
7 posts measured
Reaction rate
2.19%
reactions ÷ views · ER floor
Posts in window
7
of 29 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
Window
Rolling 30 days · latest post in window 11 November 2026
Posts held
29 (9 July 2026 – 11 November 2026)
Views total
15,730
Reactions total
344
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
13 Nov 2026, 09:27 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
529
Videos
46
Links
261
Lifetime counters from Telegram’s own channel header, read 13 November 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.
Video runtime
47s
Average length
47s
Measured directly from 1 video 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
2,446 reactions across 29 posts, in 27 distinct kinds. The most used accounts for 35.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
870
35.6%
🔥
732
29.9%
👍
272
11.1%
⚡
241
9.85%
🍾
76
3.11%
🎉
49
2.00%
👏
41
1.68%
❤🔥
31
1.27%
🤣
29
1.19%
🤯
27
1.10%
🙉
19
0.777%
🥰
12
0.491%
😁
6
0.245%
🤝
6
0.245%
✍
4
0.164%
👌
4
0.164%
💊
4
0.164%
🫡
4
0.164%
🏆
3
0.123%
💯
3
0.123%
7 further kinds
13
0.531%
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 29 of the 29 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 2,446 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 29 most recent posts we hold, published 9 July 2026 to 11 November 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
Telegram’s own ‘edited’ marker: 1 of 7 posts held from the last 30 days (14.3%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Последняя распродажа от Контент продаёт 🥲
Друзья, сегодня 11.11 и в этот день принято делать скидки.
Периодически мне пишут по поводу покупки курсов "AI-контент продаёт" или "Контент-мейкер для Amazon". Я уже не пушу эти продукты и скоро буду убирать обратную связь по ру направлению (на Amazon такого пакета уже нет), но если вам интересны эти направления и вам хочется зайти на более выгодных условиях, которые предс…
Бесплатное решение PDF-задач
В рамках обучения команды, ребята собирают различные утилиты, которые могут быть полезны для различных повседневных задач.
Например, этот мини-сервис позволяет производить различные манипуляции с PDF-файлами. Раньше я за такой сервис платил подписку по 10 или даже 20 долларов, потому что мне неудобно было для каждой задачи открывать Фотошоп, а на тот момент у меня было много работы с PD…
$11200 в месяц на нарезке длинных видео с помощью AI
Друзья, в последнее время часто читаю разные статьи и информацию о новых AI-стартапах. Создал для себя ежедневную автоматическую задачу под это дело и теперь каждое утро мне приходит подборка новых стартапов, которые начали свой путь с одного предпринимателя или небольшой команды и самое главное, чтобы их стартап был построен с помощью AI-инструментов.
Сделал я э…
Результаты первой недели челленджа
Ноябрьский проект — автоматическая система монтажа коротких роликов для экспертного контента. Как обстоят дела:
1) Сделал движок, на основе, которого работает система.
2) Собрал рабочий прототип SaaS по автоматическому монтажу видео (скрин). Это черновик, поэтому интерфейс максимально простой.
Сервис уже опубликован, можно пройти регистрацию через почту или Google, он уже приним…
Запустить проект за месяц
То ради чего раньше нужно было потратить месяцы работы команды сегодня можно сделать одному за несколько недель. По крайней мере я в это верю, поэтому продолжаю готовиться к своему челленджу "12MVP за год", который стартует 1 ноября.
В рамках своей подготовки я собрал систему, которая собирает интересные AI-стартапы, которые могли бы повторить каждый из нас с помощью одной подписки на Clau…
Какой ответ AI-продавца вам больше нравится?
Сейчас работаем над проектом по созданию первого слоя взаимодействия с клиентами в одном производстве кожаных изделий. Важно в первую очередь закрыть окна, когда живые менеджеры не работают (ночь и выходные дни), но при этом оставить разговор человечным, живым и компетентным.
На скрине тесты разных моделей LLM с отработкой одинаковых запросов. Всего тестируем 5 разных мо…
Первый проект из серии 12 MVP за 12 месяцев
Это видео полностью смонтировала система.
Я скидываю системе свое видео, звук (если он идет отдельно) и вставки в виде изображений, скринкастов или текстовых подсказок.
Система сама делает следующее:
— синхронизирует аудиодорожку с видео
— транскрибирует все вплоть до звуков
— удаляет паузы и неудачные дубли (сырое видео было на 4+ минуты)
— делает вставки по смыслу пове…
Яндекс Диск не отдаёт файлы? Сделал бесплатную программу, которая скачивает их за вас
Сейчас у Яндекса проблемы с дата-центрами, и это ударило по Диску.
Сегодня утром открыл публичную ссылку, чтобы скачать рабочие документы, но интерфейс еле грузится. При этом сами файлы вижу, но скачать их привычным способом не могу. Часть файлов пропали, но оставшиеся еще висят и их просто не может отдать перегруженный интерфейс.…
Челлендж: 12 бизнесов за 12 месяцев
Сегодня у меня день рождения, и я придумал себе подарок, от которого немного не по себе: 12 бизнес-проектов за 12 месяцев (!!!)
Сейчас мы с командой делаем кастомные AI-пайплайны под заказчиков: автоматизация контента для селлеров и медиа, AI-продавцы, автомонтаж, автоматизация процессов внутри компаний. Схема понятная: интервью, разработка, сдача, правки. По сути это фриланс, да…
Новое видео на канале 🔥
Друзья, привет! Работа кипит и на контент совсем не осталось времени, но надо успевать все.
В этом выпуске подробно рассказываю, как я создал систему автоматизации визуального контента для арабского бренда продуктов питания.
Система работает с помощью Claude + Figma + Higgsfield + 30 скриптов и еще нескольких инструментов.
Теперь заказчику, чтобы получить контент для новой партии товара, н…
Запись вчерашнего эфира
Вчера прошел вебинар. Показывал кейсы и отвечал на вопросы.
Если не удалось посмотреть онлайн и вы заинтересованы в сотрудничестве с нами, то советую посмотреть запись в течение суток. Завтра вечером я заявки уже не буду принимать. Сейчас набирается КРУТАЯ команда и я понимаю, что смыла растягивать время нет. Будем стартовать.
Если интересно обучение в команду, то напишите мне @apulkin по в…
Набор на обучение в команду
Друзья, коротко и по делу: я зашиваюсь.
В последнее время я плотно ушел в работу над автоматизацией контента и не только. Прямо в данный момент в работе 9 заказов, все они крупные и завтра созвон с новым заказчиком, где потенциально еще будет несколько объемных задач. Под крупными я понимаю заказы от 1 недели и от 6 цифр в цене.
Разработка новых пайплайнов, рабочих схем, решение вопросо…
🔥60👍21❤10🤯4❤🔥3🤣3⚡2😨1
Showing the 12 most recent of 29 posts we hold for @infograf_prodal. 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.
Posts edited after publishing
@infograf_prodal 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.
First edit seen
3 November 2026
Most recent edit
3 November 2026
Posts recorded as deleted after publishing
We recorded 2 posts on @infograf_prodal as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
18 August 2026
Most recent seen missing
2 September 2026
Median time before seen missing
7 days
Seen missing in the last 30 days
0
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 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.
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.
Роман Одуванов @roduvanov · 32,992 Telegram ranks this channel #55 of 84 here — alongside 83 others — read 7 September 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 November 2026 — this
entry's latest reading, not the date you are reading this.
“Контент продаёт” (@infograf_prodal), 12,050 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/infograf_prodal.
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.