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Channel

Поинтер. Локальный маркетинг

@pntr_io

On this record: Growth · Engagement · Reactions · Stars · Posts · Citations · Cite this entry

1,230subscribers

-1 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-1001523194868
TypeChannel
Username@pntr_io
CreatedBetween 1 August 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live13 August 2026
Measurements held3
Confirmed unchanged2 times, most recently 13 August 2026
On Telegramt.me/pntr_io

Growth

1,2301,2311,230.57 August 2026 — 1,231 subscribers7 August 2026 — 1,231 subscribers9 August 2026 — 1,230 subscribers7 August 20269 August 2026
3 measurements spanning 3 days, net -1. 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 1,230–1,231 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Aug 2026, 20:211,230-1
7 Aug 2026, 01:011,231no change
7 Aug 2026, 00:481,231first reading

Engagement

16 posts held, back to 23 June 2026the 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
19.9%
avg views ÷ 1,230 subscribers
Avg views / post
244
6 posts measured
Reaction rate
3.68%
reactions ÷ views · ER floor
Posts in window
6
of 16 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 6 August 2026
Posts held16 (23 June 20266 August 2026)
Views total1,466
Reactions total54
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 01:01 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

103 reactions across 16 posts, in 4 distinct kinds. The most used accounts for 47.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥4947.6%
2322.3%
custom 51973966356377909251615.5%
👍1514.6%

Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it isTelegram’s.

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 16 of the 16 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 103reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 16 most recent posts we hold, published 23 June 2026 to 6 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.

Telegram Stars

Stars received
2
across the posts below
Posts paid on
1
of 16 we hold a reading for · 6%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @pntr_io. 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 16 most recent posts we hold for this entry, published 23 June 2026 to 6 August 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.

Recent posts

6 Aug 2026, 12:48 UTC102 views13 reactionsread 7 August 2026
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Продажи руками Руководитель отдела продаж Поинтера решила не ограничиваться словами любви к Поинтеру и сделала маникюр с нашим логотипом 🤍 Кажется, это тот случай, когда Поинтер действительно в руках команды 🫶

🔥6custom 519739663563779092552

5 Aug 2026, 11:14 UTC155 views9 reactionsread 7 August 2026
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📩 SMS все еще читают. Но не любые. Кажется, что SMS давно проиграли мессенджерам, push-уведомлениям и чат-ботам. Но исследование «Анкетолога» показывает другое: 84% россиян получают SMS от компаний, а 73% их читают. Важный момент не в том, что канал «живой». А в том, как именно его использовать. Рекламные рассылки работают слабее: только 10% опрошенных готовы совершить покупку после рекламного SMS. Зато сервисные

🔥6custom 51973966356377909253

4 Aug 2026, 10:40 UTC162 views7 reactionsread 7 August 2026
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🎙 Инсайт из подкаста «Хороший Поинт» Автоматизация в клиентском сервисе не должна начинаться с вопроса: “сколько обращений закроет бот?” Гораздо важнее другой вопрос: что будет с качеством? В выпуске «Хороший Поинт» как раз обсуждали эту ловушку: бизнес внедряет бота, CRM или новый инструмент поддержки и ждет, что сервис сразу станет лучше. Но если процесс уже работает плохо, автоматизация не решит проблему. Она

👍43

3 Aug 2026, 11:48 UTC186 views7 reactionsread 7 August 2026

📍 Карточка в Яндекс Картах может быть заполнена идеально, но всё равно проигрывать в выдаче. Почему так происходит? Потому что сейчас карточка — это не просто справочник с адресом, телефоном и графиком работы. Алгоритмы смотрят не только на заполненность, но и на поведение пользователей: открывают ли они фото, читают ли отзывы, переходят ли в услуги, строят ли маршрут, звонят ли из карточки. Если карточка есть, н

5👍2

23 Jul 2026, 08:18 UTC451 views12 reactionsread 7 August 2026
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🎙 Новый выпуск подкаста «Хороший Поинт» У нас в гостях Кристина Костоломова — операционный лидер клиентской поддержки Dodo Brands. Поговорили о том, как выстроена централизованная клиентская поддержка в одной из крупнейших ресторанных компаний, почему сотрудникам доверяют самостоятельно принимать решения, как измеряют качество сервиса и где в работе поддержки помогает искусственный интеллект. Поддержите выпуск реа

🔥6👍42

20 Jul 2026, 10:31 UTC410 views6 reactionsread 7 August 2026
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SEO больше не работает по старым правилам. В новой статье вместе с экспертом Кириллом Бадаевым разбираем, почему классические SEO-механики теряют эффективность и что приходит им на смену. Обсудили: • почему одного продвижения сайта уже недостаточно; • какую роль сегодня играют отзывы, геосервисы и цифровой след компании; • как бизнесу адаптироваться к новым правилам поиска. Если вы до сих пор оцениваете SEO только

🔥4👍1custom 51973966356377909251

9 Jul 2026, 12:52 UTC392 views8 reactionsread 7 August 2026
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Второй бизнес-завтрак Поинтера ☕️ В этот раз собрали камерную встречу для представителей медицинской сферы: клиник, лабораторий и аптечных сетей. Наши бизнес-завтраки — это формат живого общения, где можно обсудить реальные кейсы, обменяться опытом и поговорить о SEO, GEO-продвижении, репутации и привлечении клиентов. Есть одно правило: всё, что обсуждается на бизнес-завтраке, остаётся на бизнес-завтраке🤫

🔥8

7 Jul 2026, 14:59 UTC319 views5 reactionsread 7 August 2026
Video message

Video message, posted without a caption

🔥4custom 51973966356377909251

6 Jul 2026, 09:09 UTC327 views2 reactionsread 7 August 2026
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🌸 Отзывы — это не просто обратная связь. Это инструмент продаж. Когда человек выбирает цветочный магазин, он смотрит не только на букеты. Он обращает внимание на рейтинг, читает отзывы, оценивает ответы компании и только потом принимает решение о покупке. Именно поэтому сеть FMART by Flowwow выстроила системную работу с онлайн-репутацией вместе с Поинтером. 🤍Что удалось сделать: 🟢объединить отзывы с разных площад

2

3 Jul 2026, 08:38 UTC324 views3 reactionsread 7 August 2026
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Пациенты выбирают клинику ещё до первого звонка. Сегодня решение о записи принимается не только на сайте клиники. Сначала человек открывает Яндекс Карты, изучает рейтинг, читает отзывы, смотрит фотографии, оценивает карточку и только потом решает, стоит ли записываться. Поэтому в 2026 году геомаркетинг — это уже не просто присутствие на картах, а полноценный канал привлечения пациентов. В новой статье разобрали: 🟢

custom 51973966356377909252🔥1

2 Jul 2026, 09:51 UTC289 views4 reactionsread 7 August 2026
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➖➖ 100% отзывов с текстом — уже в день публикации. Так BabySmile Photography выстроила работу с репутацией в сети из 18 филиалов. Компания фотографирует первые дни жизни ребёнка, поэтому доверие здесь особенно важно: родители изучают рейтинги, читают отзывы и только потом принимают решение. 🤍Что настроили с Поинтером: 🟢сбор отзывов с 10 площадок в одном интерфейсе; 🟢автоматические сценарии для обработки типовых отз

3🔥1

1 Jul 2026, 10:39 UTC310 views1 reactionsread 7 August 2026
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Новости разработки: уведомления об отзывах теперь доступны в MAX 📲 Следить за обратной связью стало ещё проще. Теперь уведомления о новых отзывах можно получать прямо в MAX. Это поможет быстрее реагировать на обращения клиентов, не пропускать важные комментарии и держать репутацию под контролем из привычного канала коммуникации. Что это даёт бизнесу: • оперативные уведомления о новых отзывах; • быстрый доступ к обр

🔥1

Showing the 12 most recent of 16 posts we hold for @pntr_io. 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 — 551,916 of 1,480,688entries 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.

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

“Поинтер. Локальный маркетинг” (@pntr_io), 1,230 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/pntr_io.

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.