2 measurements spanning 2 days. 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 25–27 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
11 Aug 2026, 09:04
26
no change
9 Aug 2026, 20:47
26
first reading
Engagement
15 posts held, back to 7 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
170.8%
avg views ÷ 26 subscribers
Avg views / post
44.4
5 posts measured
Reaction rate
22.1%
reactions ÷ views · ER floor
Posts in window
5
of 15 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 27 July 2026
Posts held
15 (7 July 2026 – 27 July 2026)
Views total
222
Reactions total
49
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Aug 2026, 09:04 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
Photos
8
Links
4
Lifetime counters from Telegram’s own channel header, read 11 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
126 reactions across 12 posts, in 11 distinct kinds. The most used accounts for 54.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
68
54.0%
❤
25
19.8%
👍
9
7.14%
🙏
5
3.97%
🤗
4
3.17%
❤🔥
3
2.38%
🎉
3
2.38%
😎
3
2.38%
💯
2
1.59%
😢
2
1.59%
🥰
2
1.59%
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 12 of the 15 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 126reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 7 July 2026 to 27 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.
Как менеджеры отдела продаж приняли и полюбили ИИ-аналитику 📞
Встречайте Мэри Новикова – эксперта по контролю качества продаж в недвижимости. Мэри уже больше года работает с Аихаб и готова поделиться своим опытом с вами. Её посты будут выходить под хештегом #говорит_Мэри.
💬 Всем привет! Мы начали внедрять речевую аналитику Аихаб, потому что звонков было много, а инструментов для оценки – критически мало. Сначала я …
Скрипты в ОП: почему я считаю их злом но и обязательным инструментом
Давайте честно. Когда опытный менеджер берет в руки скрипт, происходит одна из двух вещей, либо он начинает звучать как уставший робот, либо просто игнорирует бумажку и идет по наитию.
Мое мнение: заставлять скрипту опытных сотрудников - это управленческая ошибка. Вы убиваете их главное оружие - это гибкость, эмпатию и насмотренность. Скрипт среза…
Давайте немного приоткрою завесу и поделюсь с вами одной профессиональной дилеммой 🎭
Небольшой факт обо мне, который может показаться противоречивым: я искренне не люблю работу по скриптам, но при этом считаю их максимально полезными в отделе продаж 🤯
Я за живую речь, импровизацию и умение вести диалог нутром, а не по подсказкам монитора 🖥. Однако без четких чек-листов и выверенных формулировок мы рискуем превратит…
Самый сложный момент после выходных - это возвращение в рабочий ритм. Хотя мне иногда везёт переключаться довольно легко.🌝
Энергии после отдыха море, поэтому с новыми силами продолжаю делиться тем, что упростит ваши рабочие будни!🤟
А чтобы настроиться на одну волну: какое у вас сегодня настроение? Выберите свой смайлик:
😢 Хочу ещё один выходнооой
☺️ Жить можно, втягиваемся
😎 Я всегда готов к рабочим вызовам
Друзья, ссылка для подключения к вебинару уже доступна, осталось всего 15 минут🔥
https://my.mts-link.ru/j/174099387/22609189070
До встречи на вебинаре в 11:00! 🤝
⏳ Уже через 5 дней — вебинар!
Сравним ЖК «Сады у моря» и жилые комплексы Краснодара: для жизни, инвестиций и работы с клиентами.
Также разберём, как повысить конверсию из звонка во встречу.
🗓 20 июля
🕐 11:00
💻 Онлайн
📝 Регистрация:
https://forms.yandex.ru/u/6a4e51fa49363936cdc2cbde
Подробности:
https://t.me/KACKAD_KRD/8025/9160
🗣️Обсудим кейсы по обратной связи более развернуто.
Как сделать вашу обратную связь эффективной.
1. Отказываемся от общих фраз 🎯
«Ты плохо работаешь с возражениями» - бесполезная фраза. Продавцы недвижимости мыслят конкретными объектами (ЖК, секции, этажи). Значит, и говорить нужно предметно.
Было: «Клиенты уходят после слов о цене».
Стало: «На встрече в ЖК "Солнечный" клиент Иван сказал, что дорого. Ты сразу пред…
❓ ЖИЗНЬ В ШУМНОМ МЕГАПОЛИСЕ, ИЛИ У МОРЯ В ОКРУЖЕНИИ ПРИРОДЫ?
Приглашаем на онлайн-вебинар
«ЖК "Сады у моря" vs ЖК в Краснодаре
🗓 20 июля 2026
🕐 11:00
💻 Онлайн
Квартира у моря или в мегаполисе: раскроем все грани выбора на вебинаре.
Рассмотрим с точки зрения:
• жизни
• инвестиционного потенциала
• выгоды для покупателей и партнеров
Обсудим:
• тонкости покупки недвижимости в двух кардинально разных локациях
• почему…
Первое место заняла тема развития менеджеров через обратную связь ⭐️ Я считаю этот этап ключевым фильтром: без него сотрудник так и останется исполнителем скриптов, а с ним - станет настоящим экспертом рынка. Давайте разложим этот процесс на конкретные шаги.
Делюсь с вами, что я использую в работе.
В девелопменте менеджеры по продажам - это фронт-офис, который приносит живые деньги. Но часто их оценка сводится к су…
🔊Коллеги, готовлю материал о том, как сейчас прокачивают ОП. Что разобрать в первую очередь?
🗣Скрипты и чек-листы: считаем их реальное влияние на конверсию25%
💻Автоматизация процессов: Какие инструменты внедряю прямо сейчас25%
📈Обратная связь менеджерам: как сделать её рабочей, а не формальной63%
The shares total 113%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Showing the 12 most recent of 15 posts we hold for @kkMary. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
🔊Коллеги, готовлю материал о том, как сейчас прокачивают ОП. Что разобрать в первую очередь?
🗣Скрипты и чек-листы: считаем их реальное влияние на конверсию25%
💻Автоматизация процессов: Какие инструменты внедряю прямо сейчас25%
📈Обратная связь менеджерам: как сделать её рабочей, а не формальной63%
The shares total 113%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 15 most recent posts we hold, published 7 July 2026 to 27 July 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Citation-graph rank
Citation-graph rank — 132,151 of 1,345,403entries 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
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.
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 11 August 2026 — this
entry's latest reading, not the date you are reading this.
“Ревизор отдела продаж” (@kkMary), 26 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/kkMary.
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.
