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Channel

Маркетинг для экспертного бизнеса | Евгения Балтаг

@ethic_marketing

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

1,594subscribers

-11 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-1001484023161
TypeChannel
Username@ethic_marketing
CreatedBetween 1 April 2019 and 30 September 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live17 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/ethic_marketing

Growth

1,5941,6051,599.57 August 2026 — 1,605 subscribers8 August 2026 — 1,602 subscribers11 August 2026 — 1,599 subscribers14 August 2026 — 1,598 subscribers17 August 2026 — 1,594 subscribers7 August 202617 August 2026
5 measurements spanning 10 days, net -11. 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 1,592–1,607 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Aug 2026, 16:081,594-4
14 Aug 2026, 01:281,598-1
11 Aug 2026, 01:021,599-3
8 Aug 2026, 08:161,602-3
7 Aug 2026, 09:031,605first reading

Engagement

19 posts held, back to 26 June 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
5.70%
avg views ÷ 1,594 subscribers
Avg views / post
90.9
9 posts measured
Reaction rate
8.03%
reactions ÷ views · ER floor
Posts in window
9
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. It is computed over the 8 of 9 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held19 (26 June 20267 August 2026)
Views total818
Reactions total56
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:57 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

129 reactions across 18 posts, in 9 distinct kinds. The most used accounts for 41.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
5341.1%
custom 54092697990059880843325.6%
🔥1713.2%
😁107.75%
❤‍🔥86.20%
53.88%
👍10.775%
💯10.775%
🥰10.775%

Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it isTelegram’s.

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 18 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 129reactions 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 26 June 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.

Recent posts

7 Aug 2026, 08:16 UTC39 views7 reactionsread 7 August 2026

Напомню, что у ДНК Личного бренда есть демо-доступ. ⬇️ Можно сначала посмотреть сам подход: что именно мы собираем, почему начинаем не с красивых картинок и как из смысловой базы и визуального кода постепенно складывается рабочая система личного бренда. Подробнее о ДНК Личного бренда ➡️ https://ethic-marketing.ru/dna_brand

custom 54092697990059880843😁21🔥1

Signed Евгения Балтаг

7 Aug 2026, 08:15 UTC34 views5 reactionsread 7 August 2026

Posted without readable text

🔥2custom 54092697990059880842🥰1

Signed Евгения Балтаг

3 Aug 2026, 15:22 UTC85 views6 reactionsread 7 August 2026
Photo

Если бы на курсах по монетизации знаний показывали реальную систему частной практики, иллюзий было бы значительно меньше В реальности частная практика выглядит примерно так ⬆️⬆️⬆️ Даже если в конкретном проекте всё не настолько формализовано, эти элементы уже существуют или постепенно появятся. Нельзя бесконечно игнорировать договоры, финансовую аналитику, клиентский учёт, планирование и управление. Рано или поздно

5custom 54092697990059880841

Signed Евгения Балтаг

29 Jul 2026, 08:09 UTC121 viewsread 7 August 2026

Posted without readable text

Signed Евгения Балтаг

27 Jul 2026, 06:53 UTC101 views13 reactionsread 7 August 2026
Photo

Хороший продукт и эффективная воронка ➡️ не гарантия бесконечных продаж Следующий этап ➡️ привлечение новой аудитории, платно или бесплатно значения не имеет. Важно, чтобы в цепочке всегда был пусть небольшой, но постоянный приток новых людей. Консалтинг➡️ твёрдый, мягкий, помогающий или экспертный, почти всегда живёт за счёт повторных продаж. Пять-восемь покупок на одного клиента ➡️ это программа минимум для хоро

7custom 540926979900598808442

Signed Евгения Балтаг

25 Jul 2026, 06:23 UTC112 views6 reactionsread 7 August 2026
Photo

🧡 Платить вроде готовы, но количество дошедших до покупки удручает... Допустим, гипотеза продукта подтверждена: люди понимают ценность результата и готовы за него платить. Но между готовностью купить и самой покупкой всё равно остаются потери И тут бессмысленно увеличивать объём действий: приводить больше людей, писать больше постов, чаще напоминать о продукте, добавлять активность в канал, усиливать прогрев. Больш

5custom 54092697990059880841

Signed Евгения Балтаг

23 Jul 2026, 06:17 UTC100 views5 reactionsread 7 August 2026
Photo

Главный критерий для оценки востребованности продукта, про который не говорят Большинство инфо и консультационных продуктов создаются на энергии вдохновения ➡️ я сделаю предложение от которого невозможно отказаться: ✅ мне очень нравится идея, это то что сейчас людям нужно, Сейчас кризис – предложу выход из кризиса, сейчас все в тревоге – предложу избавится от тревоги, сейчас упали продажи – предложи супер-выход дл

3🔥1custom 54092697990059880841

Signed Евгения Балтаг

21 Jul 2026, 06:28 UTC112 views4 reactionsread 7 August 2026
Photo

Когда вы впервые запускаете продукт или собираете воронку продаж, приходится одновременно разбираться с предложением, страницей, контентом, ботом, рассылкой, оплатой, трафиком и аналитикой ➡️ действий много, но есть ресурс "вдохновения".... Сложность появляется, когда все действия заранее считаются обязательными, хотя критериев их необходимости нет. Автор решает, что ему нужен лендинг, потому что так "правильно".

custom 54092697990059880844

Signed Евгения Балтаг

20 Jul 2026, 07:32 UTC114 views10 reactionsread 7 August 2026

Почему на старте проекта лучше не знать, что и как делать правильно ➡️ в управлении, маркетинге и бизнес-процессах Понимание масштаба и количества задач может заблокировать даже самые перспективные действия. Историй о предпринимателях, которые начинали без идеального понимания бизнеса и в итоге создавали крупные компании, довольно много. А вот случаев, когда всё началось с безупречного бизнес-плана, заметно меньше.

🔥7custom 54092697990059880843

Signed Евгения Балтаг

16 Jul 2026, 06:49 UTC151 views2 reactionsread 7 August 2026

✅ Почему эксперты не любят маркетинг, продажи и всю эту активность "про продвижение"? “Я вообще далека от маркетинга, все эти воронки и продажи ➡️ хочу разобраться, понимаю, что надо, но только больше закапываюсь в бесконечных вопросах, файлах, прогревах, ботах, сайтах. “Продажи это не моё ➡️ писать посты, работать с клиентами - мне нравится, но продажи не идут. Понимаю, что не продаю и из-за этого нет нормального

👍1💯1

Signed Евгения Балтаг

14 Jul 2026, 14:29 UTC139 views7 reactionsread 7 August 2026
Photo

4 готовых лендинга, полная переупаковка Pinterest аккаунта, 90+ пинов загружены в отложенные публикации ➡️ за 12 часов работы 😎 На Пины и упаковку аккаунта ушло 4 часа, а остальное "съели" лендинги, особенно последний, в сеттинге Гарри Поттера (это оформление дает отличные конверсии) . Автоворонка, в которой все работает само, а вы только уведомления об оплатах получаете ➡️ мечта многих. Но перед тем как запускать

❤‍🔥3😁2custom 54092697990059880842

Signed Евгения Балтаг

11 Jul 2026, 06:36 UTC168 views4 reactionsread 7 August 2026
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❗️ Нейрофотосессия: Фотоконтент, без лишних усилий с фокусом на результат После того как смыслы собраны, шаблоны для оформления готовы, возникает следующий важный вопрос: Как сделать так, чтобы контент был не просто правильно оформлен, но и по-настоящему жив, уникален и узнаваем через вас? отражал вашу личность, экспертность и позиционирование, без лишних затрат времени и денег на профессиональные фотосессии? ➡️ С

2😁2

Signed Евгения Балтаг

Showing the 12 most recent of 19 posts we hold for @ethic_marketing. 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 — 1,129,878 of 1,549,376entries 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 1 registered channel — 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 17 August 2026 — this entry's latest reading, not the date you are reading this.

“Маркетинг для экспертного бизнеса | Евгения Балтаг” (@ethic_marketing), 1,594 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/ethic_marketing.

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.