Привез лендинги в Россию.
Построил 102 отдела маркетинга
Кейсы: Гребенюк, MotorLand, Michelin
Построение отдела маркетинга: https://convertmonster.ru/reom/
По вопросам рекламы: @svetlanaasaveleva
Регистрация в РКН - https://rknn.link/cD9
Created
6 November 2019 — measured — cross-checked against a third-party dataset (ext.tg_channel)
Marketing & affiliate — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 21 August 2026 and assigned it the closest of 31 fixed categories, at 83% 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 why it has no browse page of its own yet.
Growth
34 measurements spanning 43 days, net -912. 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 47,194–48,380 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
18 Sept 2026, 09:59
47,331
-43
16 Sept 2026, 03:01
47,374
-46
14 Sept 2026, 06:21
47,420
-25
12 Sept 2026, 16:19
47,445
-62
10 Sept 2026, 18:58
47,507
-70
7 Sept 2026, 15:58
47,577
-67
4 Sept 2026, 19:41
47,644
-32
3 Sept 2026, 05:56
47,676
-38
2 Sept 2026, 04:06
47,714
-40
1 Sept 2026, 01:06
47,754
-24
31 Aug 2026, 00:48
47,778
+1
30 Aug 2026, 03:33
47,777
+2
29 Aug 2026, 02:37
47,775
-24
28 Aug 2026, 01:07
47,799
-34
26 Aug 2026, 23:42
47,833
-45
25 Aug 2026, 20:19
47,878
-31
24 Aug 2026, 22:38
47,909
-38
23 Aug 2026, 09:07
47,947
-19
21 Aug 2026, 20:06
47,966
+4
20 Aug 2026, 19:08
47,962
first reading
Engagement
42 posts held, back to 8 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 95 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.48%
avg views ÷ 47,331 subscribers
Avg views / post
3,540
23 posts measured
Reaction rate
1.73%
reactions ÷ views · ER floor
Posts in window
23
of 42 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 18 September 2026
Posts held
42 (8 July 2026 – 18 September 2026)
Views total
81,430
Reactions total
1,412
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
21 Sept 2026, 03:50 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
397
Videos
59
Links
385
Lifetime counters from Telegram’s own channel header, read 21 September 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
19s
Average length
19s
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
2,946 reactions across 42 posts, in 7 distinct kinds. The most used accounts for 30.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
896
30.4%
❤
722
24.5%
👍
625
21.2%
👎
595
20.2%
👏
53
1.80%
🤔
36
1.22%
😢
19
0.645%
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 42 of the 42 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 2,946 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 42 most recent posts we hold, published 8 July 2026 to 18 September 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
11
across the posts below
Posts paid on
7
of 42 we hold a reading for · 17%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @petrochenkow. 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 42 most recent posts we hold for this entry, published 8 July 2026 to 18 September 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.
30 сентября в МТС Live Холле в Москве пройдет третья бизнес-конференция Авито для предпринимателей «По Делу».
В фокусе — практические решения для бизнеса. Эксперты разберут успешные кейсы и расскажут о тонкостях:
— управления продвижением;
— использования ИИ в бизнес-процессах;
— работы с меняющимся спросом, поведением и доверием покупателей;
— поиска новых точек роста.
Отдельно обсудят ошибки, которые влияют на п…
Промпт для базового анализа целевой аудитории в Gemeni (docx)
Тематика: #маркетинг #стратегия
Уровень сложности: ⭐️
Кратко: профессиональный промпт, который позволяет быстро выделить сегменты целевой аудитории на основании открытых данных через бесплатный ИИ Google
Что нужно для работы:
1. Продукт/услуга (кратко описать)
2. Целевой рынок [B2B или B2C, география, если важна]
3. Ценовой сегмент
4. Главное УТП (есл…
Под роликом, в котором я проехался по привычке начинать работу с аватаров, конкурентного анализа и стратегии, написали: «я специально «засаживаю» маркетологов, чтобы продавать свои услуги».
Ну что ж, давайте разбираться.
Мы работаем в условиях сложнейшего рынка. Бюджеты снижают, клиенты уходят, площадки отключают и запрещают, звонки маркреруются как спам.
Насколько оправданно собственнику тратить первые два месяца…
Классическая ловушка KPI на лиды у подрядчика
Вот еще один интересный довод, почему нельзя использовать мотивацию на квалифицированные лиды без сквозной аналитики.
В пятницу встречался со своими клиентами, которые, несмотря на все «ужасы» текущего рынка, и снизили стоимость лида, и существенно повысили прибыльность маркетинга.
Клиент — специализированная клиника из Уфы — использовал достаточно стандартный микс ка…
Критерии найма маркетолога в компанию
В приложении — файл, на основании котрого мы подбираем маркетологов для наших клиентов.
Он содержит критерии, которые маркетолог иметь для попадания на телефонное собеседование.
Отмечу несколько важных пунктов.
1. Техническое образование. Подойдет любое — от экономиста до химика. Важно, чтобы не падал в обморок от табличек и умел считать 15% от 250 в уме.
2. Опыт работы в аг…
Практика перелидоза. Правило #2
На время перелидоза нужен сильный оффер. Иначе заявки улетят в молоко.
Это может быть:
1. обновление продукта
2. ликвидация склада
3. трендовая технология
4. специальные условия оплаты / рассрочки
5. особый персонал / сотрудники / звезда
6. дополнительный продукт бесплатно
7. расширенная гарантия
Оффер в перелидозе обязательно обрамляете 3 триггерами:
1. Эксклюзивность. Только для…
Практика перелидоза. Правило #1
Взлет лидов бывает в 2х случаях: если сработала гипотеза или если убраны все препятствия.
Когда есть задача быстрого роста, последнее, что я делаю — что-то тестирую. Как правило, лиды не идут, потому что есть препятствие.
❌ мало рекламы
❌ реклама не на тот конвертер
❌ лидам сразу не звонят
❌ не верно выстроена квалификация
❌клиенту не продают следующий шаг в воронке продаж
❌ есть пр…
Профессиональный промпт для анализа лендинг на основе кейсов 2026 для поднятия конверсии (docx)
Тематика: #конверсия #нейросети
Уровень сложности: ⭐️
Кратко: профессиональный промпт, который позволяет оценить качество дизайна и копирайтинга посадочной страницы и дать конкретные рекомендации в соответствиями с лучшими кейсами и правилами копирайтинга и дизайна 2026 года
Что нужно для работы:
Краткий портрет ЦА
Кр…
Мой любимый вайбовый проект - Закрытый Петроченков
Это не очередной клуб, курс или сообщество.
Скорее пространство для "своих" - маркетологов и собственников, которым важно решать практические задачи по маркетингу и продажам.
Начинался он как клуб по подписке, в котором раз в 2 недели я читал семинары по практическим вещам: как настроить Директ на Телеграм и получать подписчиков по 50 рублей, как запустить трекинг…
Очень каверзный вопрос.
Мой друг собрал тест для коммерческих директоров, в котором есть вот такой каверзный вопрос.
Каверзный, потому что это типовая ситуация, в которой собственники и ТОПы принимают не оптимальное решение.
Побросал знакомым, почти все дают не самый оптимальные вариант.
После этого отправил тест в свой натренированный Fable 5 (Claude), он с задачей справился.
Интересно, какое бы ты принял решен…
❤14👎6🤔4
Showing the 12 most recent of 42 posts we hold for @petrochenkow. 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.
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 9 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 26 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Саша Чижов @blogsmm · 38,252 Telegram ranks this channel #2 of 97 here — alongside 96 others — read 31 August 2026
Корытин выкручивает конверсии @nmiacm · 60,309 Telegram ranks this channel #2 of 88 here — alongside 87 others — read 22 August 2026
SMM с Дамиром Халиловым @damirkhalilov · 23,321 Telegram ranks this channel #3 of 91 here — alongside 90 others — read 18 September 2026
Трус Юлия про бизнес @trusprobusiness · 37,739 Telegram ranks this channel #3 of 88 here — alongside 87 others — read 31 August 2026
Инструменты маркетолога @profit_maker · 45,843 Telegram ranks this channel #3 of 96 here — alongside 95 others — read 27 August 2026
Корнеев | Первый Маркетинговый @pervmarketing · 135,148 Telegram ranks this channel #4 of 98 here — alongside 97 others — read 13 August 2026
Ленивый продюсер. Блог. @lazyproducer · 26,044 Telegram ranks this channel #5 of 86 here — alongside 85 others — read 13 September 2026
DNative — блог Ткачука про SMM @dnative · 81,416 Telegram ranks this channel #5 of 98 here — alongside 97 others — read 18 August 2026
В школе этому не учат | Бизнес & Digital @delaumoney · 53,334 Telegram ranks this channel #7 of 86 here — alongside 85 others — read 24 August 2026
Румянцев Рулит @drumyanzev · 22,355 Telegram ranks this channel #8 of 92 here — alongside 91 others — read 20 September 2026
Света Афанасьева @engageforsales · 28,984 Telegram ranks this channel #9 of 88 here — alongside 87 others — read 9 September 2026
Официальный канал Телеметра - Telemetr.me @telemetr_me · 37,219 Telegram ranks this channel #9 of 62 here — alongside 61 others — read 1 September 2026
Канал Игоря Зуевича @zuevichigor · 39,591 Telegram ranks this channel #9 of 91 here — alongside 90 others — read 30 August 2026
Михаил Гребенюк @grebenukm · 258,153 Telegram ranks this channel #10 of 95 here — alongside 94 others — read 10 August 2026
Нечто | Сообщество предпринимателей @nechto_community · 23,422 Telegram ranks this channel #11 of 89 here — alongside 88 others — read 18 September 2026
Молянов @molyanov_blog · 30,350 Telegram ranks this channel #11 of 98 here — alongside 97 others — read 8 September 2026
Павликов опять что-то написал @potok_ads · 72,751 Telegram ranks this channel #11 of 99 here — alongside 98 others — read 19 August 2026
Артем Кей @artemmkey · 31,390 Telegram ranks this channel #12 of 84 here — alongside 83 others — read 6 September 2026
Продюсер Курчанов @kurchanov_prod · 29,177 Telegram ranks this channel #13 of 83 here — alongside 82 others — read 8 September 2026
Алина говорит @alina_telling · 28,478 Telegram ranks this channel #14 of 92 here — alongside 91 others — read 9 September 2026
Роман Тарасенко @romarketing · 22,564 Telegram ranks this channel #16 of 97 here — alongside 96 others — read 20 September 2026
Паша и его прокрастинация @abbsol · 29,625 Telegram ranks this channel #16 of 98 here — alongside 97 others — read 8 September 2026
Татьяна Маричева @tm_producer · 31,380 Telegram ranks this channel #16 of 85 here — alongside 84 others — read 6 September 2026
Михаил Христосенко @m_hristosenko · 25,445 Telegram ranks this channel #17 of 86 here — alongside 85 others — read 14 September 2026
This channel appears in 84 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Телеграм Петроченкова” (@petrochenkow), 47,331 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/petrochenkow.
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.