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SEO практика | Кравцов Виталий

@seopraktika

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

4,147subscribers

+11 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001034172520
TypeChannel
Username@seopraktika
Created27 February 2016measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live16 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/seopraktika

Growth

4,1364,1494,142.55 August 2026 — 4,136 subscribers6 August 2026 — 4,136 subscribers6 August 2026 — 4,149 subscribers10 August 2026 — 4,145 subscribers13 August 2026 — 4,144 subscribers16 August 2026 — 4,147 subscribers4,1475 August 202616 August 2026
6 measurements spanning 10 days, net +11. 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 4,134–4,151 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 07:474,147+3
13 Aug 2026, 00:054,144-1
10 Aug 2026, 01:014,145-4
6 Aug 2026, 20:314,149+13
6 Aug 2026, 04:174,136no change
5 Aug 2026, 21:184,136first reading

Engagement

21 posts held, back to 30 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 5 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
13.5%
avg views ÷ 4,147 subscribers
Avg views / post
559
17 posts measured
Reaction rate
1.09%
reactions ÷ views · ER floor
Posts in window
17
of 21 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. It is computed over the 16 of 17 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 8 August 2026
Posts held21 (30 June 20268 August 2026)
Views total9,496
Reactions total95
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 12:16 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 17 posts, in 10 distinct kinds. The most used accounts for 21.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍2221.4%
💯1918.4%
1211.7%
👀109.71%
👎109.71%
👏98.74%
🔥76.80%
😎76.80%
😱43.88%
32.91%

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 21 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 104reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 21 most recent posts we hold, published 30 June 2026 to 8 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
2
of 21 we hold a reading for · 10%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @seopraktika. 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 21 most recent posts we hold for this entry, published 30 June 2026 to 8 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

8 Aug 2026, 10:24 UTC128 views6 reactionsread 8 August 2026
Photo

Photo, posted without a caption

💯3😎2👍1

Signed Виталий Кравцов

7 Aug 2026, 08:37 UTC402 views11 reactionsread 8 August 2026

Ощущение, что SEOшка осталась только для B2B вертикалей, весь B2C выжжен в угли!

💯7👎4

Signed Виталий Кравцов

5 Aug 2026, 13:08 UTC506 views10 reactionsread 8 August 2026
Photo

Photo, posted without a caption

👏6👀2😱2

Signed Виталий Кравцов

5 Aug 2026, 09:57 UTC471 views1 reactionsread 8 August 2026
Forwarded from @sapeseoteamPhoto

«Яндекс — это 70% рынка, зачем нам Google?» С этой фразы начинается каждый второй проект, который приходит на продвижение. Но при грамотной работе со ссылками Google показывает результат не хуже Яндекса, а иногда и лучше. Свежий кейс от Максима Агапова из Perviye Agency как раз про это. Сайт рекламно-производственной компании из Екатеринбурга: технический хаос от прошлого подрядчика, отсутствие контента и нулевой с

👏1

Signed Виталий Кравцов

4 Aug 2026, 06:59 UTC524 views3 reactionsread 8 August 2026
Photo

🏦 Google уже дважды в 2026-м специально обошёл стороной ссылочный спам Мартовский и июньский спам апдейты официально не трогали ссылки - Google это прямо подтвердил. Но в документации сказано чётко: когда очередь дойдёт до ссылочного спама, эффект от плохих доноров не восстанавливается вообще. Не «откатится за пару месяцев», как с контентными банами, а насовсем. В канале находите помимо таких новостей, вы еще найд

👎2👍1

Signed Виталий Кравцов

31 Jul 2026, 07:03 UTC416 views2 reactionsread 8 August 2026
Forwarded from @ilyaiserson

Havit-russia.ru: переезд на Яндекс KITᵝ: +60% органики Я как то уже рассказывал что мы работаем с Яндекс.Кит - и это для меня кейс, которым я очень горжусь, и о котором, по моему, может только мечтать SEO агентство в плане профессионального признания. Работа разделяется на 2 стрима: - мы помогаем команде Кита с тем, чтобы сама платформа стала более seo-ready уже из коробки - мы помогаем новым мерчам переехать на

2

Signed Виталий Кравцов

30 Jul 2026, 11:46 UTC648 views6 reactions1 Starread 8 August 2026

Так, решил провести SEO эксперимент. У меня есть сайт, который живет своей жизнью, приносит 200-300 человек в сутки, $100-200 ежемесячно и только стагнирует постепенно. Решил запустить туда CLAUDE и посмотреть как он повлияет на ситуацию! Естественно, под моим чутким присмотром!

👍6

Signed Виталий Кравцов

29 Jul 2026, 08:04 UTC650 views0 reactions1 Starread 8 August 2026
Poll

Какой вариант лучше всего описывает вас?

  1. Пользуюсь Яндекс Товарами регулярно39%
  2. Пользовался раньше, сейчас забросил7%
  3. Знаю о сервисе, но пока не пробовал24%
  4. Сейчас изучаю, планирую подключить5%
  5. Впервые слышу о Яндекс Товарах24%

Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.

Signed Виталий Кравцов

28 Jul 2026, 08:01 UTC597 views3 reactionsread 8 August 2026
Photo

🔥 ХОТИТЕ УСИЛИТЬ SEO И ПОДНЯТЬ САЙТ В ТОП GOOGLE? MTPremium — команда, которая помогает проектам расти через качественный и безопасный линкбилдинг. Без мусора. Без спама. Только рабочие ссылки с реальных сайтов. 🔥 💥 Хотите бесплатно получать качественные ссылки, которые индексируются и реально передают вес сайту? Подписывайтесь на наш Telegram 👉 @mtpremium1 — свежие площадки и проверенные доноры уже ждут вас! 🛠 На

👍3

Signed Виталий Кравцов

27 Jul 2026, 15:32 UTC559 views1 reactionsread 8 August 2026
Photo

А по запросу "займ онлайн на карту" еще более интересная картина!

👀1

Signed Виталий Кравцов

27 Jul 2026, 15:24 UTC564 views1 reactionsread 8 August 2026
Photo

Недвижка, процент органики на десктопе по экранам, пример 1 запроса.

👀1

Signed Виталий Кравцов

27 Jul 2026, 13:59 UTC526 views9 reactionsread 8 August 2026
Forwarded from @kravcov_ai

Пользуюсь сам, делюсь с вами! Сделал Skill SDD Power: Скилл для Claude Code: дисциплина длительной разработки по существующей проектной документации - с персистентным трекингом состояния и критической проверкой самой документации. Он нужен там, где работа не укладывается в одну сессию: агент возвращается к проекту через неделю с пустым контекстом и должен за минуту понять, что сделано, что осталось и почему когда-т

👍43🔥2

Signed Виталий Кравцов

Showing the 12 most recent of 21 posts we hold for @seopraktika. 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.

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

29 Jul 2026, 08:04 UTCAnonymous Poll41 voters

Какой вариант лучше всего описывает вас?

  1. Пользуюсь Яндекс Товарами регулярно39%
  2. Пользовался раньше, сейчас забросил7%
  3. Знаю о сервисе, но пока не пробовал24%
  4. Сейчас изучаю, планирую подключить5%
  5. Впервые слышу о Яндекс Товарах24%

Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 21 most recent posts we hold, published 30 June 2026 to 8 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

Citation-graph rank

Citation-graph rank — 302,987 of 1,481,277entries 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

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 6 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.

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

“SEO практика | Кравцов Виталий” (@seopraktika), 4,147 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/seopraktika.

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.