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Channel

СиндRоM самозванца | Дмитрий Алпацкий

@CindRoM_samozvanza

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

443subscribers

+11 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002208746823
TypeChannel
Username@CindRoM_samozvanza
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 September 2026
Measurements held7
Confirmed unchanged1 time, most recently 13 September 2026
On Telegramt.me/CindRoM_samozvanza

Topic

Marketing & affiliate — 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 21 September 2026 and assigned it the closest of 31 fixed categories, at 48% 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

432445438.56 August 2026 — 432 subscribers6 August 2026 — 432 subscribers7 August 2026 — 433 subscribers15 August 2026 — 442 subscribers22 August 2026 — 444 subscribers29 August 2026 — 445 subscribers13 September 2026 — 443 subscribers4436 August 202613 September 2026
7 measurements spanning 37 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 430–447 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Sept 2026, 02:37443-2
29 Aug 2026, 04:44445+1
22 Aug 2026, 22:17444+2
15 Aug 2026, 01:09442+9
7 Aug 2026, 00:10433+1
6 Aug 2026, 19:19432no change
6 Aug 2026, 15:04432first reading

Engagement

20 posts held, back to 29 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 1 page of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 4 August 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

270 reactions across 17 posts, in 12 distinct kinds. The most used accounts for 38.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥10538.9%
5921.9%
😁4516.7%
👍3513.0%
💯186.67%
❤‍🔥20.741%
👏10.37%
💔10.37%
🗿10.37%
😱10.37%
🤝10.37%
🦄10.37%

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 17 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 270 reactions 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 29 June 2026 to 4 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
3
of 20 we hold a reading for · 15%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @CindRoM_samozvanza. 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 29 June 2026 to 4 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

4 Aug 2026, 13:32 UTC125 views2 reactionsread 6 August 2026

Ну и в тему - наш эксперимент с Петром ✨

2

4 Aug 2026, 13:32 UTC106 views14 reactionsread 6 August 2026
Forwarded from @marketingflowsciencePhoto

По доброй традиции, если я что-то выпускаю в канал, то это большой и серьёзный кусок контента (но уже скоро исправлюсь) 🧐 Первый выпуск моего подкаста Marketing, Science, B* с Дмитрием Алпацким CRM-маркетолог: как его видят CMO, продукт и другие коллеги Дима провёл исследование, и мы его разбираем: 📎 Что такое настоящий CRM-маркетолог и как ему расти 📎 Hard-skills vs Soft-skills: что важнее для карьеры 📎 Почему и

8🔥4👍2

4 Aug 2026, 11:35 UTC222 views20 reactions1 Starread 6 August 2026
File

CRM-маркетинг: что думают эксперты рынка ✨ Вчера немного рассказал о том, как появилось это исследование. Сегодня делюсь полной версией. Внутри - выводы из 20 глубинных интервью с Head of CRM, CMO, CPO, коммерческими директорами и владельцами бизнеса. Коллеги, спасибо вам большое за отклик и неравнодушие 🫶 Обсудили: - где CRM находится в структуре компании; - что сегодня отличает сильного CRM-маркетолога от средне

🔥12👍53

3 Aug 2026, 08:12 UTC168 views25 reactionsread 6 August 2026

Что сегодня отличает сильного CRM-маркетолога? Несколько месяцев назад я решил поговорить с коллегами по рынку. Хотел понять: - какие навыки действительно помогают расти; - какие ошибки чаще всего тормозят карьеру; - что руководители ожидают от CRM-маркетологов сегодня; - и какой вообще будет профессия через несколько лет В итоге получилось 20 глубинных интервью с Head of CRM, CMO, CPO, коммерческими директорами и

🔥22❤‍🔥2👏1

31 Jul 2026, 07:15 UTC250 views17 reactionsread 6 August 2026
File

По следам вчерашнего поста про сегментацию и в продолжение шпаргалки по CRM-сценариям сделал ещё одну — по сегментам. Получился своеобразный Playbook, который можно использовать как чек-лист при проектировании кампаний, персонализации и программы лояльности. Прикладываю файлом, иначе размывается текст. СиндRоM самозванца

🔥8👍54

30 Jul 2026, 14:16 UTC396 views29 reactions2 Starsread 6 August 2026
File

Выступил на вебинаре «Аналитика CRM-маркетинга: база» Разбирали тему, которая кажется простой, но именно с неё начинается почти любой сильный CRM: сегментацию клиентов. В презентации собрал самое практичное: • зачем вообще нужна сегментация; • какие виды сегментации существуют; • как самостоятельно построить RFM; • чем RFMD лучше классического RFM; • как распределить клиентов по ABCDX; • что такое JTBD и Occasion-B

16🔥8👍5

17 Jul 2026, 09:05 UTC375 views12 reactionsread 6 August 2026
Forwarded from @emailmatrixPhoto

🫵🫵🫵 22 июля в 18:00 состоится суд EMAILMATRIX, где приглашённые эксперты вместе с судьёй рассмотрят дело № 2 «Креативные пуши без офферов и пользы». Регистрация Секретарь судебного заседания просит явиться к назначенному времени следующих лиц: 🔸 Судью Аделину Амирзянову — руководитель отдела копирайтеров EMAILMATRIX 🔸 Обвинителя Дмитрия Алпацкого — руководитель CRM и лояльности Inventive Retail Group 🔸 Адвоката о

🔥101😱1

17 Jul 2026, 09:05 UTC261 views2 reactionsread 6 August 2026

Пропустил пост от ребят. Разберём тему креатива в пушах без офферов и пользы. Буду в интересной для себя роли - обвинителя) Вынесем вердикт? 😀

2

17 Jul 2026, 06:21 UTC266 views17 reactionsread 6 August 2026

Fashion Dive Заглянул вчера на фэшн конфу. Делюсь тезисами, которые успел зафиксировать в первой половине дня. - избегай каннибализации каналов продаж - важно развивать именно собственный e-commerce и не становиться слишком зависимым от внешних площадок; - онлайн в деньгах уже занимает больше 50% продаж. Теперь основной выбор всё чаще происходит там, а офлайн становится местом знакомства с продуктом и примерочной;

9👍5🔥3

10 Jul 2026, 13:25 UTC307 views13 reactions2 Starsread 6 August 2026
Photo

И последнее на сегодня) Пятничное 😀

😁13

Showing the 12 most recent of 20 posts we hold for @CindRoM_samozvanza. 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.

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

Named by 4 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.

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 13 September 2026 — this entry's latest reading, not the date you are reading this.

“СиндRоM самозванца | Дмитрий Алпацкий” (@CindRoM_samozvanza), 443 subscribers as measured 13 September 2026. Telegram Register, tgregister.com/channel/CindRoM_samozvanza.

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.