Channel
@kozlenkomedia
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
636subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002080439562 |
|---|---|
| Type | Channel |
| Username | @kozlenkomedia |
| Description | Кейсы, креатив, исследования, новости Сергей Козленко - эксперт с 17+ летним опытом в маркетинге, рекламе, стратегии и медиа. (ex. 2mood, Lamoda, билайн, ivi, НРА, Danone, Halsa, Decathlon) Консультации, аудит, ведение маркетинга @skozlenko |
| Created | Between 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 8 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/kozlenkomedia |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 02:49 | 636 | no change |
| 7 Aug 2026, 16:22 | 636 | first reading |
8 posts held, back to 11 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 1 pageof Telegram’s post history, 20 posts per page.
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 2 of 4 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 8 (11 July 2026 – 6 August 2026) |
| Views total | 433 |
| Reactions total | 7 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 02:49 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.
Lifetime counters from Telegram’s own channel header, read 8 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
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.
15 reactions across 6 posts, in 3 distinct kinds. The most used accounts for 73.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 11 | 73.3% | |
| 👏 | 2 | 13.3% | |
| 🔥 | 2 | 13.3% |
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 6 of the 8 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 15reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 11 July 2026 to 6 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.
#Антон🥒 Российскому рынку инфлюенс-маркетинга в 2026 тяжеловато АБА и DIDENOK TEAM провели исследование рынка российского инфлюенс-маркетинга: за полгода рекламодатели потратили на блогеров 25 млрд рублей против 24,5 млрд годом раньше. Номинально это +2%, но с учетом инфляции рынок просел на 3–4%. Для сравнения: в 2023–2024 годах он прибавлял по 30–37% в год. Новые охватные площадки не запускают, на старых запреща…
Apple впервые перенесла свою долгоиграющую платформу «Relax, it’s iPhone» в наружку (OOH). Вместо привычных вылизанных рендеров и глянцевых крупняков они показали айфоны в грязи, царапинах, воде и следах жесткого ежедневного использования. Задумка отличная: превратить обычные бытовые факапы в лучшее доказательство прочности. Главный месседж — реальная жизнь бывает суровой, но паниковать не стоит, айфон выдержит. Х…
❤3
Рузиль и Азиза Минекаевы стали лицами новой коллаборации премиального alfa Only x локального бренда одежды muliér. В состав пака вошли унисекс айтемы: футболки, сумки, кепки. Коллаб уже разослали блогерам, а также был замечен ивент в поддержку сотрудничества.
Как люксовые бренды пытаются вернуть клиентов в 2026 году На днях наткнулся на свежий отчет McKinsey и BoF «The State of Fashion: Face to Face with Luxury Clients». Главный вывод: люкс медленно выходит из затяжного спада. Ожидаемый рост рынка до 2030 года — скромные 4–6% в год(против двузначных цифр прошлых лет). Основные драйверы — США ($130 млрд) и Китай ($60 млрд). Почему бренды оказались в кризисе и к чему им…
❤4
Наконец-то 2mood, бренд в котором я работал бренд и маркетинг директором в 2025, представил результат работы над которой мы трудились совместно с командой! Стало чище, лого стал легче, очень понравилось, что сохранили решение с рукописным написанием, которое ляжет как отдельный элемент в продукцию бренда. Поздравляю Кристину и всех причастных к этому проекту, теперь самое главное "раскать" все точкам контакта: от оф…
❤1
2Mood представили обновленный логотип и новую визуальную айдентику. Логотип получил две версии. Основная стала более сдержанной и утонченной — ее будут использовать на вывесках, упаковке и ярлыках. Курсивная, более игривая версия появится в принтах, вышивке и специальных проектах. Из игривого и немного бунтарского мы выросли в более вдумчивый и спокойный бренд. За 9 лет наши взгляды изменились практически на все, в…
🔥2❤1
«Сделай перерыв — съешь KitKat» KitKat разработал упаковку для телефона, которая блокирует связь. С ее помощью бренд шоколадных батончиков предложил аудитории отдохнуть от звонков и уведомлений, а также отвлечься от думскроллинга (привычки листать ленту соцсетей). Сама упаковка ― это по сути портативная клетка Фарадея (конструкция для защиты от электромагнитных волн), блокирующая все сигналы, вплоть до GPS. Все в …
❤2
бесконечно люблю эти ежегодные pop up от Loewe, набор стандартный, но хочется в такой заглянуть каждый раз 💚
👏2
Showing the 8 most recent of 8 posts we hold for @kozlenkomedia. 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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 8 August 2026 — this entry's latest reading, not the date you are reading this.
“Козленко про бренды и маркетинг” (@kozlenkomedia), 636 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/kozlenkomedia.
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.