Telegram RegisterThe public register of Telegram
Telegram profile photo for ДВИЖ для девелоперов

Channel

ДВИЖ для девелоперов

@dvizh4realty

On this record: Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

2,090subscribers

-5 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001704297360
TypeChannel
Username@dvizh4realty
Created21 March 2022measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live17 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/dvizh4realty

Growth

2,0902,0952,092.57 August 2026 — 2,095 subscribers7 August 2026 — 2,094 subscribers10 August 2026 — 2,093 subscribers13 August 2026 — 2,092 subscribers17 August 2026 — 2,090 subscribers7 August 202617 August 2026
5 measurements spanning 10 days, net -5. 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 2,089–2,096 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Aug 2026, 11:272,090-2
13 Aug 2026, 18:272,092-1
10 Aug 2026, 14:372,093-1
7 Aug 2026, 18:402,094-1
7 Aug 2026, 05:452,095first reading

Engagement

11 posts held, back to 9 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
12.1%
avg views ÷ 2,090 subscribers
Avg views / post
253
6 posts measured
Reaction rate
4.75%
reactions ÷ views · ER floor
Posts in window
6
of 11 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
WindowRolling 30 days · latest post in window 7 August 2026
Posts held11 (9 July 20267 August 2026)
Views total1,517
Reactions total72
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 16:58 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.

Reaction mix

131 reactions across 11 posts, in 12 distinct kinds. The most used accounts for 38.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥5138.9%
2418.3%
🏆118.40%
💯118.40%
👏107.63%
👍75.34%
64.58%
❤‍🔥43.05%
👀32.29%
🤩21.53%
💋10.763%
🕊10.763%

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 11 of the 11 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 131reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 11 most recent posts we hold, published 9 July 2026 to 7 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.

Recent posts

7 Aug 2026, 15:43 UTC55 views10 reactionsread 7 August 2026
Photo

Предлагаем закончить эту рабочую неделю на полезной ноте — вспомнить, какие метрики помогут найти полезные инсайты для ваших ипотечных продаж. Для этого собрали вам подборку из наших материалов. Разберем все: от конверсий до портрета клиентов. 1. ТОП метрик для девелопера: куда смотреть, чтобы ипотечные продажи работали 2. Кто на самом деле ваш клиент? Работаем с портретом целевой аудитории 3. Полный чек-ап кошельк

🔥4👀3👍3

5 Aug 2026, 14:44 UTC169 views11 reactionsread 7 August 2026
Photo

😺 Завести сделку на регистрацию за 5 минут — да или нет? Отдохнем от ипотечных процессов и поговорим про электронную регистрацию. Казалось бы, вот он, тот шаг, где ничего нового уже не придумаешь, но нет предела совершенству. Наша задача — сделать регистрацию сделки максимально быстрой и бесшовной. И если на работу Росреестра мы повлиять не можем, то на заведение сделки — да. Например, через ДВИЖ можно заполнить в

🔥43❤‍🔥21👏1

31 Jul 2026, 14:37 UTC256 views15 reactionsread 7 August 2026
Photo

Агентские продажи остаются одним из главных драйверов на рынке — мы продолжаем разбирать, как сделать работу с ними максимально результативной. В карточках собрали три главных совета, которые помогут контролировать агентский канал. Еще больше рекомендаций и разбор самых частых ошибок ждут вас в ДВИЖ Инсайтах по ссылке 👻 😀Чтобы не переживать за актуальность ставок и программ в расчетах агентов, используйте ипотечный

🔥63👍32👏1

28 Jul 2026, 15:13 UTC330 views12 reactionsread 7 August 2026
Photo

Но продажи в недвижимости — это такая сфера, из которой сложно уйти. Она постоянно меняется, как узоры в калейдоскопе… В нашей любимой рубрике «Правила девелопера» пополнение — недавно мы взяли интервью у коммерческого директора UNIKEY. Юлия Ружицкая не только поделилась с нами историей своего пути, но и подсветила самые необычные тренды на столичном рынке. Что обсудили? 😃Как меняется модель потребления у клиентов

5🔥4🏆1💋1💯1

23 Jul 2026, 14:43 UTC352 views14 reactionsread 7 August 2026
Photo

Как увеличить объем ипотечных заявок в 3 раза, не расширяя ипотечный отдел? Это — не красивая сказка, а наш кейс с ЭНКО. В котором есть еще много прекрасных событий, ведь за время нашего сотрудничества коллеги: 😅 сократили время работы с заявкой с нескольких часов до 15 минут 😅 достигли медианной скорости одобрения 12 минут 😅 повысили долю одобрения на 13,2% с помощью финансового скоринга 😅 вышли в новые регионы, н

🔥74👏3

20 Jul 2026, 14:23 UTC355 views10 reactionsread 7 August 2026
Photo

😺 Как справляться со стрессом? Общаясь с топами рынка в нашей рубрике «Правила девелопера», мы убедились, что в недвижимости стресс — скорее норма, чем отклонение. Одна из экспертов даже сказала, что не верит, что можно добиться успеха без такого спутника. А что тогда делать, чтобы не выгореть? Мы собрали советы от всех героев «Правил», а еще обратились за помощью к Роману Гурову и Ольге Жуковой — нашим СЕО и дирек

🔥4💯211👏1🕊1

17 Jul 2026, 13:55 UTC350 views14 reactionsread 7 August 2026
Photo

🤐 Ипотека без слепых зон: как мы увеличили конверсии на каждом этапе воронки Не нарушаем традиции и подводим итоги обучающего вебинара с Ольгой Жуковой. За 40 минут мы успели: 😃обсудить, какие сложности на каждом этапе ипотечной воронки мы выявили в ходе общения с клиентами 😃представить 4 ключевых обновления в ДВИЖе, которые повышают конверсии на каждом этапе работы со сделкой 😃посмотреть на инструменты вживую 😃раз

5💯4🔥3🏆1👏1

16 Jul 2026, 12:04 UTC364 views10 reactionsread 7 August 2026
Photo

🤐 Есть ли возможность получать статистику по рыночным показателям? Такой вопрос мы получили вчера на вебинаре. И ответ — да. Даже если вы еще не клиент ДВИЖа и не имеете доступа к блоку аналитики внутри платформы. Каждый месяц мы публикуем дайджесты с ключевыми метриками по рынку: 😀процент и скорость одобрения 😀распределение заявок по типам ипотечных программ 😀финансовый портрет клиентов 😀топ-10 банков по проценту

🔥43🤩2🏆1

10 Jul 2026, 16:17 UTC412 views13 reactionsread 7 August 2026
Photo

😺 Все проверим и подберем лучшее Подводим итоги недели приятными обновлениями ➡️ В скоринге появился блок «Проверка компании» Теперь, если клиент является ИП или владельцем бизнеса, автоматически запустится проверка его юридического лица. В результате менеджер видит риски по бизнесу клиента-заемщика — еще один фактор, который анализируют банки при выдаче ипотеки. ➡️ На этапе «Одобрение клиента» появился статус «В

🔥5🏆32👍1👏1💯1

9 Jul 2026, 16:20 UTC324 views10 reactionsread 7 August 2026

Делимся записью AIDAY 2026, который прошел в этот вторник. Выступление Романа Гурова там тоже есть, а в нем: 😃разбор кейсов с речевой аналитикой в ГК ПИК и AI-тренерами в ГК Разум 😃ИИ-инструменты, которые помогают найти ответы на вопросы «Кто купит?» и «На каких условиях?» 😃кейс с управлением уровнем одобрения в ГК Самолет Рекомендуем к просмотру всем, кто не успел подключиться 🫶

🔥5🏆3❤‍🔥2

9 Jul 2026, 16:20 UTC373 views12 reactionsread 7 August 2026
Forwarded from @aihub_onlinePhoto

300+ регистраций: как прошел AIDAY про продажи в недвижимости 🔥 Во вторник мы провели «AIDAY Недвижимость» – это наша первая отраслевая конференция. На ней выступили СЕО Аихаб Алексей Авдеев, застройщики A101 и BM Group, платформа «ДВИЖ», Яндекс Недвижимость и Циан. 👉 Было насыщенно и круто: активный живой чат, вовлеченные спикеры, актуальные темы выступлений и модераторы, которые следили, чтобы всё шло гладко, и о

🔥5💯3🏆2👏2

Showing the 11 most recent of 11 posts we hold for @dvizh4realty. 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 — 782,971 of 1,481,306entries 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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.

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Московский БЕТОН | Недвижимость
@moscbeton · 137,487
Telegram ranks this channel #45 of 89 here — alongside 88 others — read 13 August 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 17 August 2026 — this entry's latest reading, not the date you are reading this.

“ДВИЖ для девелоперов” (@dvizh4realty), 2,090 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/dvizh4realty.

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.