Telegram RegisterThe public register of Telegram

Channel

Зарубежное SEO и GEO

@ppcanalytics

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

871subscribers

+0 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001488521546
TypeChannel
Username@ppcanalytics
CreatedBetween 1 April 2019 and 31 August 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live7 August 2026
Measurements held2
Confirmed unchanged1 time, most recently 7 August 2026
On Telegramt.me/ppcanalytics

Growth

8716 Aug 2026, 22:01 — 871 subscribers7 Aug 2026, 04:50 — 871 subscribers6 Aug 2026, 22:017 Aug 2026, 04:50
2 measurements taken within a single day. 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 870–872 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
7 Aug 2026, 04:50871no change
6 Aug 2026, 22:01871first reading

Engagement

19 posts held, back to 6 May 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
29.2%
avg views ÷ 871 subscribers
Avg views / post
255
3 posts measured
Reaction rate
3.27%
reactions ÷ views · ER floor
Posts in window
3
of 19 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 held19 (6 May 20266 August 2026)
Views total764
Reactions total25
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 22:01 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

148 reactions across 19 posts, in 8 distinct kinds. The most used accounts for 60.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍8960.1%
🔥4429.7%
53.38%
🍾32.03%
🏆32.03%
👏21.35%
😱10.676%
🤯10.676%

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 19 of the 19 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 148reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 6 May 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.

Recent posts

6 Aug 2026, 09:20 UTC112 views9 reactionsread 6 August 2026

Как я оцениваю донора за 2 минуты Когда нужно проверить десятки площадок, подробный аудит каждой делать бессмысленно. Поэтому сначала я провожу быструю проверку и сразу отсеиваю очевидный мусор. 1. Смотрю органический трафик и его динамику Для меня трафик важнее высокого DR. Если у сайта DR 60, но почти нет переходов из Google, такая площадка сразу вызывает вопросы. Особенно если трафик резко обвалился и долго не

👍9

Signed Kirill Yandovskiy

27 Jul 2026, 08:04 UTC287 views12 reactionsread 6 August 2026

Почему я перестал покупать ссылки через биржи За последние несколько лет я практически перестал покупать ссылки через биржи. Не потому что они не работают. Работают. Но есть несколько причин, почему сегодня я предпочитаю договариваться с вебмастерами напрямую: 1. Слишком много мусорных доноров Главная проблема большинства бирж — огромное количество площадок, ссылки с которых я бы никогда не купил: • без органиче

👍111

Signed Kirill Yandovskiy

16 Jul 2026, 13:00 UTC365 views4 reactionsread 6 August 2026

Нейросети в создании контента — это нормально. Мы сами их используем ежедневно в работе. Однако за ними приходится постоянно перепроверять и подчищать, ибо есть задачи где они стабильно подводят. Где же нейросети скорее навредят? Цифры и статистика. ИИ не ищет источники — он генерирует то что статистически похоже на правду. По данным исследования Neil Patel, ChatGPT даёт полностью корректный ответ только в 59.7% слу

👍3🔥1

Signed Kirill Yandovskiy

6 Jul 2026, 08:02 UTC449 views5 reactionsread 6 August 2026

После последних обновления поиска Google всё больше решает не запрос, а интент за ним. В общем то эта тенденция была давно, но с приходом ИИ сильно ускорилась. Раньше было проще: брали информационный запрос, писали статью с ответом на него, получали трафик. Теперь это работает хуже. Запрос "What documents do I need to register a company in Dubai" гугл закроет сам. Выдаст список документов, краткие пояснения, основн

👍5

Signed Kirill Yandovskiy

29 Jun 2026, 13:46 UTC455 views5 reactionsread 6 August 2026

Опубликовали новую статью на VC, на тему "Что происходит с ИИ-трафиком если перестать писать контент"

👍4🍾1

Signed Kirill Yandovskiy

24 Jun 2026, 13:04 UTC592 views9 reactionsread 6 August 2026

Как структура сайта влияет на попадание в AI Overview Всё чаще вижу такую картину: позиции у сайта нормальные, а трафик падает. Google стал ещё активнее отвечать на запросы через AI Overview, и пользователь просто не переходит на сайт. Но те, кто попадает в этот блок, получают трафик сверх своих позиций. Так что же влияет на попадание туда? 1) FAQ на каждой ключевой странице. ИИ вытаскивает блоки вопрос-ответ как

🔥7🍾2

Signed Kirill Yandovskiy

17 Jun 2026, 08:01 UTC465 views8 reactionsread 6 August 2026

Почему сайты из топа часто сделаны хуже вашего Периодически ко мне приходят клиенты и говорят: "Посмотрите на конкурента. У него ужасный сайт. Почему он в топе, а мы нет?" И действительно, иногда открываешь сайт из топ-3 и видишь: — устаревший дизайн — слабые тексты — кривую мобильную версию — странную структуру Но есть один нюанс. Google не выбирает самый красивый сайт. Google выбирает сайт, который считает наибо

👍8

Signed Kirill Yandovskiy

11 Jun 2026, 08:02 UTC404 views17 reactionsread 6 August 2026

Что я смотрю первым делом на новом SEO-проекте Когда ко мне приходит новый клиент, я почти никогда не начинаю с технического аудита, скорости загрузки или мета-тегов. Сначала я пытаюсь ответить на один вопрос: Есть ли у этого сайта вообще шанс занять топ в своей нише? Для этого я смотрю всего несколько вещей. 1. Кто находится в топе Если в выдаче сидят крупные агрегаторы, маркетплейсы или компании с многолетней ис

👍12🔥5

Signed Kirill Yandovskiy

4 Jun 2026, 13:49 UTC460 views1 reactionsread 6 August 2026

через 10 минут начинаем https://www.youtube.com/watch?v=Ww7sC4iWKLo

🔥1

Signed Kirill Yandovskiy

1 Jun 2026, 09:04 UTC529 views7 reactionsread 6 August 2026

Что чаще цитирует ИИ — лонгрид или листинг? При написании текстов многие делают ставку на большие экспертные статьи. Логика понятна: чем глубже материал, тем выше шанс попасть в ИИ-ответ. Но свежие данные говорят другое. Был проведён анализ почти 400 миллионов цитирований в ответах ChatGPT, Copilot, Gemini, AI Overview и Perplexity — по 25 000 разных страниц. Результат: 63% всех цитирований приходится на страницы

🔥51👍1

Signed Kirill Yandovskiy

27 May 2026, 08:05 UTC449 views3 reactionsread 6 August 2026

Почему AI Overview убивает инфо-сайты Последние месяцы все чаще вижу одну и ту же картину: позиции у инфо-сайта вроде бы нормальные, а трафик падает. Почему? Потому что Google начал сам отвечать на вопросы пользователя. Раньше человек искал: “how to register business in Dubai” → открывал статью → читал сайт → переходил по ссылкам Теперь Google показывает AI Overview: короткий ответ, выжимка, summary. И пользовате

👍2🔥1

Signed Kirill Yandovskiy

22 May 2026, 07:14 UTC463 views14 reactionsread 6 August 2026
Photo

Пока Гугл раскатывает новый May 2026 core update, вот вам пара фоточек с Квартирника Топвизора

👍73🔥3🏆1

Signed Kirill Yandovskiy

Showing the 12 most recent of 19 posts we hold for @ppcanalytics. 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 — 562,629 of 1,169,250entries 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 3 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.

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

“Зарубежное SEO и GEO” (@ppcanalytics), 871 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/ppcanalytics.

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.