Engagement
7 posts held, back to 20 May 2025 — 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
- 26.4%
- avg views ÷ 12 subscribers
- Avg views / post
- 3.2
- 6 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 6
- 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.
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.
Recent posts
11 Aug 2026, 14:38 UTC1 viewsread 12 August 2026 Forwarded from @proryvmediaPhoto
Как для школы дрифта получили 309 лидов и собрали базу из 500+ потенциальных клиентов
Проект — школа дрифта Корчшеринг в Новосибирске.
Стоимость услуг школы — от 6 500 до 35 000 ₽.
Основная задача — привлечь новых клиентов.
Мы разработали связку под ключ:
Яндекс.Директ → мини-лендинг → MAX или Telegram-бот → квалификация → оффер → передача контакта
С помощью такой воронки мы решаем задачи:
— привлечение заявок;
— …
27 Jul 2026, 07:45 UTC5 viewsread 12 August 2026 Forwarded from @proryvmediaPhoto
584 заявки на туры на Камчатку по 582 ₽
До начала работы предыдущий подрядчик потратил 50 000 ₽ и получил несколько конверсий и ни одной заявки.
Мы построили новую систему привлечения клиентов под ключ:
Яндекс.Директ → мини-лендинг → MAX / Telegram-бот → квалификация → презентация туров → дожим.
Результаты с 8 апреля по 15 июля:
— рекламный бюджет — 339 762 ₽;
— 1 720 человек запустили бота;
— 1 590 из них выбрали…
27 Jul 2026, 07:45 UTC3 viewsread 12 August 2026 Forwarded from @proryvmediaPhoto
Кейс — ESTEDO — премиальный бренд для дизайнеров интерьера
Продукт: выключатели и розетки от 10 000 ₽ / шт.
ЦА: дизайнеры, архитекторы
Задачи:
— привлечение ЦА в Telegram-канал
— генерация заявок через сайт
Механика
1. Сайт (перфоманс)
— трафик на лендинг с выдачей каталога
— триггер: «получить каталог + подбор решений под проект»
— после заявки — прозвон и квалификация
2. Канал (отложенный спрос)
— контент под д…
27 Jul 2026, 07:45 UTC3 viewsread 12 August 2026 Forwarded from @proryvmediaPhoto
Photo, posted without a caption
27 Jul 2026, 07:45 UTC3 viewsread 12 August 2026 Forwarded from @proryvmedia
Кейс Telegram ads: +3 340 целевых подписчиков в канал пластического хирурга
Цикл принятия решения — от полугода до полутора лет. Поэтому любые «быстрые воронки» здесь просто не работают. Мы пошли другим путем — подписка на канал, доверие, контент и живое общение в чате.
Результат за полгода работы в Telegram Ads:
+3 340 целевых подписчиков в канал врача + более 1 000 участников в чат.
В полной статье подробно разо…
27 Jul 2026, 07:44 UTC4 viewsread 12 August 2026 Forwarded from @proryvmediaPhoto
Кейс Telegram Ads: Roas 307% для онлайн-школы Workintravel по обучению профессии турагента
Смотрите в карточках — как мы решали задачу с привлечением регистраций на вебинар и их окупаемостью.
А ниже ловите инсайты и выводы по проекту:
🔘Смотрите на весь путь пользователя, а не только на цену клика или регистрации. Дешевый трафик не гарантирует продажи, а дорогие сегменты могут давать окупаемость ×5 и выше. Главная …
20 May 2025, 13:31 UTC99 viewsread 12 August 2026 Photo
Кейс Telegram Ads: @kvaris_phuket
116 заявок на покупку недвижимости в Таиланде
1️⃣ О проекте
Агентство Kvaris помогает людям со всего мира купить квартиру или виллу в Таиланде, на Пхукете для жизни, отдыха и инвестиций.
2️⃣ Задачи
Ко мне обратился Виктор - руководитель агентства с задачей сделать Телеграм источником клиентов для агентства.
На момент обращения канал был создан, оформлен, было приглашено около 200 …
Showing the 7 most recent of 7 posts we hold for @proryvmedia_keys. 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 — 1,160,277 of 1,350,102entries 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 2 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.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
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 14 August 2026 — this
entry's latest reading, not the date you are reading this.
“Прорыв Медиа - кейсы” (@proryvmedia_keys), 12 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/proryvmedia_keys.
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.
