4 measurements spanning 14 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 937–952 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
22 Aug 2026, 00:38
939
-6
14 Aug 2026, 00:36
945
-5
8 Aug 2026, 00:49
950
no change
7 Aug 2026, 16:00
950
first reading
Engagement
7 posts held, back to 16 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 · 30 days
14.5%
avg views ÷ 939 subscribers
Avg views / post
136
1 post measured
Reaction rate
12.5%
reactions ÷ views · ER floor
Posts in window
1
of 7 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 25 July 2026
Posts held
7 (16 July 2026 – 25 July 2026)
Views total
136
Reactions total
17
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 00:49 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.
What this channel posts
Video runtime
3m 45s
Average length
56s
Measured directly from 4 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
97 reactions across 7 posts, in 8 distinct kinds. The most used accounts for 27.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 5192814863310669616
27
27.8%
custom 5366312502479048279
22
22.7%
custom 5440372616428797136
15
15.5%
custom 5229179732930612338
12
12.4%
custom 5440792874683744373
8
8.25%
❤
6
6.19%
🔥
4
4.12%
👍
3
3.09%
Custom emoji. 5 of the rows above are 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 counts beside them areTelegram’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 7 of the 7 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 97reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 7 most recent posts we hold, published 16 July 2026 to 25 July 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.
Вчера у нас был День флориста 💐
И конечно же, я не осталась без подарка! Сегодня мама порадовала меня вот такой посылочкой 🎁
Отдельная нежность — это коробка от GLAMS, моего цветочного салона, который, к сожалению, уже закрылся. Было так тепло и немного грустно открывать её и читать надписи
А внутри — красивейшие цветы! Белоснежный антиринум и нежные альстромерии. Как же я люблю этот воздушный и свежий дуэт, они п…
🎁БОНУС: Чек-лист идеального видео
Сохраняйте, чтобы не потерять!
Проверяйте каждое видео перед публикацией по этим 5 пунктам:
✅Эмоция— радость, удивление, умиление
✅Человек в кадре— флорист или клиент
✅Контекст— повод, история, ситуация
✅Живое видео— не «вылизанное» до идеала
✅Призыв к действию— коммент, вопрос, отметка
Как использовать:
📅 Чередуйте форматы по дням:
Пн — backstory
Ср — клиентская история
Пт — UG…
Сохраняйте: 5 форматов контента для цветочного бизнеса
1️⃣ЗА КАДРОМ
Показывайте то, что обычно скрыто от глаз клиентов.
🌟Примеры:
- «5 утра: едем на цветочную базу»
- «Как упаковываем для доставки в другой город»
- «Неудачный букет: пересобрали за 15 минут»
2️⃣КЛИЕНТСКИЕ ИСТОРИИ
Не просто букет, а ЗАЧЕМ его купили.
🌟Примеры:
- «Белые пионы для мамы на 30 лет свадьбы»
- «Алексей делает предложение (и забыл кольцо!…
Почему одни цветочные аккаунты собирают очереди, а другие безнадежно листают мимо? 🤔
Секрет не в идеальной картинке, дорогом оборудовании или тысячах подписчиков. Секрет в сценарии.🍿
Топовые флористы давно не постят просто «букет на белом фоне». Они используют 5 конкретных форматов подачи, которые превращают случайного зрителя в покупателя за 3 секунды.
Я разобрала эти 5 форматов по косточкам.
➡️Листайте следующий…
Что бы я сделала, если бы была SMM-специалистом цветочного магазина?
Первым делом запретила бы снимать букеты на фоне холодильника! 😅
Знаете эту картину:
Бесконечные рилс под трендовую музыку
❌Где просто крутят цветы
❌Лайки есть, а продаж нет
Вы устали снимать, а ваш Instagram выглядит как бездушная витрина, которая никому не нужна.
НО ВОТ КАКОЕ ОСОЗНАНИЕ ДОЛЖНО ПРИЙТИ:
💡Цветы — это не просто трава. Это самый э…
Многие флористы делают одну и ту же ошибку: получили альстромерию — и сразу в холод. А она стоит «закрытой», как солдатик, и клиент думает, что цветы несвежие.
Секрет простой, но его мало кто знает 🔥
Альстромерию сначала РАСКРЫВАЕМ, а только потом ставим на передержку. Вот алгоритм, который работает:
1️⃣ Зачищаем стебли от листвы и смело укорачиваем. С 90 см до 50–60 см — так она быстрее проснётся.
2️⃣ Оборачиваем…
День большой поставки из Китая — это всегда отдельная история 🌸📦
Многие думают, что работа PR-менеджера оптового склада — это только красивые фото, кофе и лёгкий контент. Но за каждым роликом на самом деле стоит:
✅ Разгрузка и проверка КАЖДОЙ коробки
✅ Внимательный просмотр каждой пачки на брак
✅ Точный пересчёт количества
✅ Съёмка буквально каждого нового сорта
✅ И ещё часов 5 монтажа и написания текстов уже дома
…
Showing the 7 most recent of 7 posts we hold for @flowersGS. 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.
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 22 August 2026 — this
entry's latest reading, not the date you are reading this.
“ЦВЕТЫ С ХАРАКТЕРОМ” (@flowersGS), 939 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/flowersGS.
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.