5 measurements spanning 33 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 440–447 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
9 Sept 2026, 16:39
441
-5
24 Aug 2026, 18:03
446
+2
16 Aug 2026, 16:28
444
+3
8 Aug 2026, 05:05
441
no change
7 Aug 2026, 19:25
441
first reading
Engagement
14 posts held, back to 7 May 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 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 14 posts for this entry, the most recent from 1 July 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
2m 12s
Average length
22s
Measured directly from 6 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
352 reactions across 14 posts, in 18 distinct kinds. The most used accounts for 33.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
116
33.0%
❤
74
21.0%
🙈
56
15.9%
👍
51
14.5%
🙏
27
7.67%
👀
8
2.27%
😨
4
1.14%
😱
3
0.852%
🍾
2
0.568%
👏
2
0.568%
🤗
2
0.568%
👨💻
1
0.284%
💩
1
0.284%
😎
1
0.284%
😐
1
0.284%
🤔
1
0.284%
🤝
1
0.284%
🥰
1
0.284%
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 14 of the 14 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 352 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 14 most recent posts we hold, published 7 May 2026 to 1 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.
Telegram Stars
Stars received
28
across the posts below
Posts paid on
14
of 14 we hold a reading for · 100%
Most on one post
4
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @wow_zayavka. 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 14 most recent posts we hold for this entry, published 7 May 2026 to 1 July 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.
Advertising
Ad load
71.4%
10 of 14 posts carry an ad marker
Regulatory tokens
0
none — marked by hashtag only
Median views · ads
116
over 10 measured posts
Median views · rest
1,020
over 4 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Measured over the 14 most recent posts we hold, published 7 May 2026 to 1 July 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Специальное предложение 🔥 для агентств недвижимости, работающих по Москве
Главное полностью прочитайте данный материал, он может быть крайне полезным для вас!
1️⃣ Цена размещения одного объявления о продаже НОВОСТРОЙКИ на сайте недвижимости ЦИАН, стоит от 3120₽.
2️⃣ Дополнительно нужно покупать (или регистрировать самому) верифицированный аккаунт (который могут заблокировать в первый же день), который тоже стоит о…
Срез по статистике 🔥
1 акк Авито + 7 дней = 348 контактов
ГЕО: Санкт-Петербург и ЛО.
НИША: Новостройки
🔝 Мы готовы обеспечить вам — хорошую результативность за скромные бюджеты, идеальный вариант для начинающих риелторов и агентств недвижимости!
Добра всем ❤️
ЗАИНТЕРЕСОВАЛИ ВАС ❓
или остались какие-то переживания и не понимание как все работает?
✈️ Скорей пиши: @creative_marketolog
🎞 Видео-отзывы: @wow_otzov…
Видео-отзыв ❤️ от нашего клиента!
✅ Что мы делали: продвижение группы в МАХ 📲 сбор чатов с целевой аудиториейя, парсинг ID активных пользователей и финальный инвайтинг в чат клиента!
Контакты для связи:
🗂 Вопросы и предложения: @soldhot
🗂 Движка в недвижке: @russia_digital
🗂 Канал команды: @creative_omg
🗂 Видео-отзывы о нас: @wow_otzovik
Всем успехов и бешеного роста 🔥 а если не чего не выходит 😉 то ты знаешь где…
Видео-отзыв ❤️ от нашего клиента!
✅ Что мы делали: продвижение группы в МАХ 📲 сбор чатов с целевой аудиториейя, парсинг ID активных пользователей и финальный инвайтинг в чат клиента!
Контакты для связи:
🗂 Вопросы и предложения: @soldhot
🗂 Движка в недвижке: @russia_digital
🗂 Канал команды: @creative_omg
🗂 Видео-отзывы о нас: @wow_otzovik
Всем успехов и бешеного роста 🔥 а если не чего не выходит 😉 то ты знаешь где…
Видео-отзыв ❤️ от нашего клиента!
✅ Что мы делали: продвижение группы в МАХ 📲 сбор чатов с целевой аудиториейя, парсинг ID активных пользователей и финальный инвайтинг в чат клиента!
✅ Результаты: начинали когда в чате было менее 100 участников, по окончанию работы чат насчитывал более 6700+ участников (без накруток и ботов, только используя инвайтинг).
✅ Ниша клиента: продажа недвижимости.
Контакты для связи:
🗂…
Специальное предложение 🔥 для агентств недвижимости, работающих по Москве.
Главное полностью прочитайте данный материал, он может быть крайне полезным для вас!
1️⃣ Цена размещения одного объявления о продаже НОВОСТРОЙКИ на сайте недвижимости ЦИАН, стоит от 3120₽.
2️⃣ Дополнительно нужно покупать (или регистрировать самому) верифицированный аккаунт (который могут заблокировать в первый же день), который тоже стоит …
КЕЙС: НЕДВИЖИМОСТЬ В КРАСНОДАРЕ
▫️ ГЕО размещения: Краснодар
▫️ Источник трафика: Авито
Трафик на Краснодар по объявлениям с просто лютым демпингом, более 60% (пожелание клиента).
▫️ Мы разместили:
— 25 объяв на квартиры (фэйк)
— 2 объявы на дома (фэйк)
До конца срока дожил один дом и одна (не самая ходовая) квартира, остальные отклонялись в течении 2-7 дней после публикакации.
После первого отклонения: полов…
Инвайтинг в MAX 📲 — это приглашение людей в группу или чат. Это точечная работа с собранной или подготовленной аудиторией.
👤 Аудиторию так-же можно собрать из списка с номерами телефонов, предварительно сделав по ним ЧЕК на наличие зарегистрированного аккаунта МАХ.
👤 Альтернативный способ сбора аудитории, это чаты со схожей с вашей тематикой или чаты ваших конкурентов — с них можно собрать всех участников чата или …
Недвижка в Сочи и Краснодаре 🔝
Статистика за 14 дней!
✅ Локация: Краснодар и Краснодарский край, Сочи, Побережье
✅ Тип недвижки: новостройки
Через неделю работы, клиент попросил добавить в размещения загородные дома.
✅ Площадки для рекламы: Авито, ЦИАН
Спустя 10 дней подключили дополнительные источники: подогрев клиентов через авто-воронки в Мах и Telegram.
Мы всё делаем за вас 👇
✅ подготавливаем крутой конте…
От 530+ чистых заявок 🔥
😱 в недвижке за 7 дней!
Типичная недвижка 😉 при правильной работе и должном опыте!
Мы всё делаем за вас 👇
✅ подготавливаем крутой контент
на основе ваших пожеланий и предпочтений по жилым комплексам.
✅ регистрируем, верифицируем и оформляем аккаунт
проверенные исполнители, качественные поставщики, прогретые аккаунты, трастовые симки
✅ переадресация будет напрямую на ваш номер телефона, …
Новостройки 🏡
Недельный срез в непростой нише!
Публикуются исключительно фэйковые объекты с полной загрузкой документов.
Локация: г. Краснодар
Результаты за 7 дней:
⭐️ Контактов получено: 343 шт.
⭐️ Звонков: 238 шт.
⭐️ Создано диалогов: 147 шт.
⭐️ Бот вытянул контактов: 71 шт.
✅ Так-же даем результат по реальным объектам с реальной ценой!
И это только с одной площадки Авито, статистика по остальным доскам выше …
Движка недвижки 🔝
➡️ Краснодар
Две площадки:
➡️ Авито = 1323 контакта
➡️ ЦИАН = 457 откликов
😱 Стабильные ежедневные звонки и входящие заявки — с самых топовых площадок по размещению недвижимости.
📊 Мы предлагаем вам топовый стабильный трафик с самых известных и популярных площадок по размещению объектов недвижимости.
🙀 Не каких рисков получения блокировок, при публикации фэйковых объектов — у вас не будет! Пото…
👍7🙈7🙏6🔥4❤3
Showing the 12 most recent of 14 posts we hold for @wow_zayavka. 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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 9 September 2026 — this
entry's latest reading, not the date you are reading this.
“Движка недвижка | Лиды по недвижке 🎯” (@wow_zayavka), 441 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/wow_zayavka.
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.