Channel
@pragmatik_agency
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
273subscribers
-2 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002293929018 |
|---|---|
| Type | Channel |
| Username | @pragmatik_agency |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/pragmatik_agency |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 07:24 | 273 | -1 |
| 7 Aug 2026, 10:35 | 274 | -1 |
| 6 Aug 2026, 23:32 | 275 | no change |
| 6 Aug 2026, 23:02 | 275 | first reading |
10 posts held, back to 20 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 pageof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 30 July 2026 |
|---|---|
| Posts held | 10 (20 May 2026 – 30 July 2026) |
| Views total | 87 |
| Reactions total | 8 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 23:32 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.
29 reactions across 8 posts, in 9 distinct kinds. The most used accounts for 24.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 7 | 24.1% | |
| 😁 | 5 | 17.2% | |
| 🏆 | 4 | 13.8% | |
| 👍 | 4 | 13.8% | |
| 👌 | 3 | 10.3% | |
| ❤ | 2 | 6.90% | |
| 👏 | 2 | 6.90% | |
| 🤔 | 1 | 3.45% | |
| 🥰 | 1 | 3.45% |
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 8 of the 10 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 29reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 20 May 2026 to 30 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.
👌 «Рейтинг Недвижимость.ТГ» Люди — Застройщики — Каналы 👌 Мы посчитали, кого рынок недвижимости реально обсуждал в Telegram во втором квартале. Что внутри: 👤 Люди — топ-100 лиц рынка по упоминаниям. В тройке за Q2: Анна Акиньшина, Дмитрий Трубников, Егор Молчанов. 🏗 Застройщики — каких девелоперов рынок обсуждает больше всех (или чьи пиарщики не просиживают штаны). 📣 Каналы — какие каналы о недвижимости действит…
🏆3👌3🔥2
Когда архитектура — лучший маркетинг 🎯 Собрали проекты со всего мира, где фасады и формы работают как логотип. Это тот случай, когда продукт зашит прямо в геометрию здания. Какие проекты из России обладают такой архитектурой?
👏1🔥1
Авито Реклама работает лучше, чем трафик через Яндекс.Директ на Авито — по трём причинам: ближе к точке решения, дешевле клик, меньше фрода. 🎯 Почему канал работает Всё упирается в намерение. На Авито человек уже внутри товарного сценария: фильтрует по районам, сравнивает цены, смотрит планировки. Получается короткий путь от показа до обращения: меньше шагов в воронке, ниже стоимость касания, выше вероятность звонка…
🏆1
🤔Название ЖК — это первое, что слышит покупатель. И иногда последнее, что его убеждает уйти. Удачное название и последовательный брендинг повышают конверсию на 20–30%. Самые сильные проекты — те, где идея пронизывает всё: от нейминга до запаха в офисе продаж. А какое у вас любимое название ЖК?
😁5
Как получить максимум от потребительского террора (негатива) В девелопменте негатив — это сигнал и топливо для улучшений процессов, продукта и маркетинга. Что бы снизить токсичность клиентского терроризма нужно: 📍Собирать обратную связь на всех этапах — это снижает вероятность публичного негатива и снижает градус напряжения покупателя при негативных ситуациях. 📍Мониторить отзывы на агрегаторах, в картах и соцсетях…
👍1🤔1
Запустили Яндекс Директ для нового ЖК в центре Уфы Расскажем, что сработало. До запуска — стандартный хаос: какое юрлицо в маркировке, какая ипотека активна, не каннибализируем ли соседний ЖК того же застройщика. У «Третьего треста» несколько объектов в работе одновременно — риск пересечения аудиторий реальный. Раньше это уходило в чаты на 3–5 дней. Теперь — один день. Что изменили Внедрили Анкету ЖК — 6 листов …
Лестница Ханта для застройщика — это не «ещё одна теория», а чек‑лист, как строить маркетинг, контент и продажи под разный уровень готовности покупателя. 😎Её можно встроить и в стратегию, и в тактику: от медиаплана до скриптов менеджеров.
👍1
Надеемся, что вы отлично провели майские и успевали отдыхать! Впереди новые ЖК, новые креативы и офферы 😎 Подготовили для вас дайджест постов за май: 😎 Как анкета ЖК помогает нам (и вам) в работе 🔎 Взяли интервью у молодой семьи с IT-ипотекой про выбор квартиры 📲 Как новостной фон влияет на цены и офферы 📊 Про сегментацию и омниканальность 🔥 Как AI-аналитик, помогает нам систематизировать данные из разных канало…
⚡️ Создали AI-аналитика и снизили стоимость целевого лида для застройщика на 50% за месяц. Для курортного застройщика с 7 ЖК разработали умный дашборд + AI-аналитика. Он сам читает всю рекламную статистику и предлагает гипотезы и рекомендации по оптимизации РК. Какие результаты получили на пилотном проекте: 📈 Целевых лидов: 63 → 117 (+86%) 💰 CPL2 (целевые): ~40 000 ₽ → ~20 600 ₽ (−50%) За месяц мы полностью проработ…
🔥3❤1👍1👏1
🎯 Почему половина бюджета на рекламу недвижимости улетает в никуда Не потому что дорого. А потому что не там и не тем. Разбираем три системных ошибки 👇 ❌ Ошибка 1: курортку — на всю Россию Широкое гео «РФ, 25–55 лет» при продаже квартиры в Анапе — это деньги в мусорку. Покупатель курортной недвижки — москвич, питерец или житель нефтяного севера. Его надо ловить либо в моменте (когда он сам на курорте в отпуске), л…
❤1👍1🔥1🥰1
Showing the 10 most recent of 10 posts we hold for @pragmatik_agency. 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 — 340,784 of 1,549,376entries 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.
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.
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.
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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“Прагматик|Маркетинг² застройщиков” (@pragmatik_agency), 273 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/pragmatik_agency.
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.