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Channel

Игнатенко: Маркетинг без ИИллюзий

@ignatenko_roman

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

1,610subscribers

-21 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001838781313
TypeChannel
Username@ignatenko_roman
CreatedBetween 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live26 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 26 August 2026
On Telegramt.me/ignatenko_roman

Growth

1,6101,6311,620.57 August 2026 — 1,631 subscribers7 August 2026 — 1,630 subscribers10 August 2026 — 1,622 subscribers13 August 2026 — 1,617 subscribers20 August 2026 — 1,622 subscribers24 August 2026 — 1,615 subscribers26 August 2026 — 1,610 subscribers7 August 202626 August 2026
7 measurements spanning 20 days, net -21. 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 1,607–1,634 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
26 Aug 2026, 22:071,610-5
24 Aug 2026, 01:361,615-7
20 Aug 2026, 06:161,622+5
13 Aug 2026, 23:141,617-5
10 Aug 2026, 22:211,622-8
7 Aug 2026, 21:311,630-1
7 Aug 2026, 07:161,631first reading

Engagement

20 posts held, back to 27 May 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
7.53%
avg views ÷ 1,610 subscribers
Avg views / post
121
6 posts measured
Reaction rate
3.71%
reactions ÷ views · ER floor
Posts in window
6
of 20 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 7 August 2026
Posts held20 (27 May 20267 August 2026)
Views total727
Reactions total27
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:54 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
1m 12s
Average length
24s

Measured directly from 3 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

109 reactions across 19 posts, in 14 distinct kinds. The most used accounts for 28.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥3128.4%
👍1614.7%
🤝1311.9%
😎1110.1%
😁87.34%
🤗87.34%
76.42%
😢65.50%
💯21.83%
🙏21.83%
🤷‍♂21.83%
10.917%
👀10.917%
😱10.917%

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 20 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 109reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 27 May 2026 to 7 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
5
across the posts below
Posts paid on
5
of 20 we hold a reading for · 25%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ignatenko_roman. 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 20 most recent posts we hold for this entry, published 27 May 2026 to 7 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

7 Aug 2026, 13:35 UTC28 views6 reactions1 Starread 7 August 2026
Photo

Стратегия сошлась с реальностью на 40% Веду трек в акселераторе Московского экспортного центра. Одна из компаний - небольшой косметический бренд, почти все функции на собственнице. Рассказывала, как запускалась: заказывала маркетинговые исследования и стратегию за большие деньги. По итогу, говорит, всё это сошлось с действительностью процентов на 40. Сейчас она выходит на зарубежные рынки и думает, как в этот раз с

2🔥2🤗1🤝1

5 Aug 2026, 17:48 UTC245 views5 reactionsread 7 August 2026
Photo

Telegram, 05.04.2017: «Так-с... я в телеграме :-) так сказать использую современные технологии общения» 👆 это моё первое сообщение в ТГ. С тех пор там накопилось: 2 585 диалогов (не считая групп и каналов) 550 000 (!) сообщений (половину написал я сам 🙈) 76,1 Мб весят текстовые файлы всех переписок Откуда я это знаю? Мой агент в Claude всё разобрал и теперь актуализирует каждый день. Зачем? Вот два кейса. 1️⃣ Я

👍2😎2🔥1

30 Jul 2026, 05:59 UTC117 views4 reactionsread 7 August 2026
Photo

С чего начинается маркетинг? Чаще всего ко мне приходят с задачей: нам нужны лиды, больше лидов. Разбираемся: - А кто должен быть лидом? - Тот кто купит! - А кто это и зачем он купит? - Любой купит. Продукт отличный! - Тогда почему любой не покупает? - Вы специалист - Вы и скажите 😤 Отвечаю как специалист: Никто не покупает продукт за то, что он отличный. Покупают, когда есть задача, которая жрёт время или деньги

💯2👍1🤝1

29 Jul 2026, 16:51 UTC109 views6 reactionsread 7 August 2026
Photo

Кейс от Антона Баклунова: Заказчик: - Просто скажите что делать? Дайте контакты инвестора, который даст мне денег и все! - Представьте себе, что у вас болит в боку. Вы приходите к врачу и врач с порога говорит вам - вот вам таблетка. Будете ли вы доверять такому врачу? - Нет. Ничего не спросил, анализы не назначил - откуда он знает, из-за чего у меня болит? Может эта таблетка меня убьет. - Именно! Так и в бизнес

😁3🤗2😎1

28 Jul 2026, 17:30 UTC118 views1 reactions1 Starread 7 August 2026
Video message

Video message, posted without a caption

🔥1

28 Jul 2026, 17:30 UTC110 views5 reactionsread 7 August 2026

Сегодня мой пёс напросился к ветеринару 🙈 Вспомнился анекдот, в котором ветеринар пришел к врачу и сидит и молчит. Врач в итоге спрашивает: - Так что Вас беспокоит? Ветеринар машет рукой на врача: - Нет, ну так каждый сможет!

😁3🤗1😱1

27 Jul 2026, 11:31 UTC127 views10 reactions1 Starread 7 August 2026
Photo

Давайте знакомиться заново 🤝 Прошлый пост-визитка был почти 2 года назад. С тех пор в канале прибавились новые люди. Я Роман Игнатенко - 24 года в коммуникациях, маркетинге, рекламе на стыке с новыми технологиями. Было своё рекламное агентство и типография, потом корпорации и госсектор. Строил контент-редакции и развивал сообщества. За последние 2 года: - в B2C поднял охваты в 2 раза за счет видеоконтента и инфлюе

👍4🤝4🙏2

25 Jul 2026, 12:57 UTC134 views3 reactions1 Starread 7 August 2026
Photo

Я не играю в компьютерные игры. Мне кажется, это зависимость и это не очень хорошо... А вот в образовательных программах геймификацию очень люблю 😎 Не успокоился, пока всей своей виртуальной команде не вырастил мотивацию на максимальные 20 баллов 😎 И да - это четвертый образовательный трек, который я прохожу за неполные 7 месяцев 2026 года. Может быть это тоже зависимость? 😂 Если удобнее - есть зеркальный Канал

😁2🤝1

23 Jul 2026, 14:16 UTC147 views4 reactionsread 7 August 2026
Video

Я сейчас активно работаю над проектом ИИ-практики. Делаю как раз то, что люблю и умею - контент-маркетинг. Я ж не просто ментор, консультант или руководитель от слов "водить руками" 🙌 я люблю проходить весь путь сам. Тем более, что все тропинки в маркетинге меняются как лестницы в Хогвардсе. Так вот тут был вопрос, мол обложки стали прикольные - откуда и как? Вот ответ - Google (Flow или Gemini) 😊 Разработчики об

👀1🔥1🤝1😎1

14 Jul 2026, 08:21 UTC184 views14 reactions1 Starread 7 August 2026
Photo

Я распробовал Claude Перестал пользоваться ChatGPT Остались только Perplexity, Google Ai и Claude Тариф МАХ 5х 100$ на пределе... За последнюю неделю сделал: - персональную CRM на Claude Cowork + Obsidian и агента, который сам каждое утро разбирает мои переписки в Телеграм и МАХ - разобрал всю почту ... за 15 лет 🙈 (просто ради расхламления) + агент, которые делает это каждое утро - написал программу на Claude

🔥9👍2🤗2😎1

12 Jul 2026, 14:05 UTC281 views3 reactionsread 7 August 2026
Photo

Вы можете быть лучшим в своём деле, но клиент уходит к тому, кто просто оказался рядом и ответил первым. Бывало такое? Тогда этот выпуск для вас! Позвал в подкаст своего друга Эдуарда Виденина. Он больше 13 лет продюсирует экспертов, а пару лет назад придумал штуку, идея которой как раз решает проблему из предыдущего абзаца - сервис «Автосарафан». Работает так: во множестве чатов в Телеграм люди частенько интерес

👍1🤝1😎1

8 Jul 2026, 15:05 UTC164 views3 reactionsread 7 August 2026

Впервые записал "говорящую голову" 🙈 Заинтересовался тут образовательными программами про нейроки... и немного офигел. Рынок, конечно, реагирует четко - говна добра навалом! Короче, выпуск про то, что большинство курсов по нейросетям на самом деле ничему не учат. Смотреть: 🎞 YouTube 🟦 ВК ⭐ Дзен Собрал собственный чек-лист из 6 вопросов, чтобы проверить курс перед покупкой. Что забыл, о чем не сказал? Пишите! Ка

🔥1🤝1😎1

Showing the 12 most recent of 20 posts we hold for @ignatenko_roman. 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 — 39,843 of 1,605,487entries 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

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

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

“Игнатенко: Маркетинг без ИИллюзий” (@ignatenko_roman), 1,610 subscribers as measured 26 August 2026. Telegram Register, tgregister.com/channel/ignatenko_roman.

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.