Marketing & affiliate — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 59% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
Growth
61 measurements spanning 92 days, net +6,790. 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 27,100–35,927 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)
Subscribers
Change
7 Nov 2026, 13:09
34,908
+34
6 Nov 2026, 09:56
34,874
+64
5 Nov 2026, 09:38
34,810
+39
4 Nov 2026, 10:36
34,771
+78
3 Nov 2026, 09:05
34,693
+237
2 Nov 2026, 09:49
34,456
+29
1 Nov 2026, 08:39
34,427
-33
31 Oct 2026, 12:10
34,460
+18
30 Oct 2026, 12:36
34,442
+13
29 Oct 2026, 12:20
34,429
+32
28 Oct 2026, 11:09
34,397
-10
27 Oct 2026, 11:05
34,407
-13
26 Oct 2026, 09:34
34,420
-11
25 Oct 2026, 10:56
34,431
-38
24 Oct 2026, 11:00
34,469
-24
23 Oct 2026, 10:17
34,493
-50
22 Oct 2026, 09:56
34,543
+15
21 Oct 2026, 01:47
34,528
+5
20 Oct 2026, 02:40
34,523
+49
19 Oct 2026, 02:11
34,474
first reading
Engagement
221 posts held, back to 24 July 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 167 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
2.60%
avg views ÷ 34,908 subscribers
Avg views / post
906
81 posts measured
Reaction rate
2.00%
reactions ÷ views · ER floor
Posts in window
81
of 221 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 78 of 81 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 6 November 2026
Posts held
221 (24 July 2026 – 6 November 2026)
Views total
73,411
Reactions total
1,420
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Nov 2026, 06:09 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.
What this channel posts
Photos
≈5,150
Videos
≈1,100
Links
≈1,640
Lifetime counters from Telegram’s own channel header, read 8 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
1h 14m
Average length
1m 26s
Measured directly from 52 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
5,332 reactions across 215 posts, in 11 distinct kinds. The most used accounts for 30.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🐳
1,637
30.7%
🔥
1,495
28.0%
❤
1,488
27.9%
👏
281
5.27%
👍
231
4.33%
❤🔥
64
1.20%
🏆
47
0.881%
🎉
39
0.731%
🥰
30
0.563%
💯
17
0.319%
😁
3
0.056%
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 216 of the 221 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 5,332 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 221 most recent posts we hold, published 24 July 2026 to 6 November 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
Telegram’s own ‘edited’ marker: 0 of 81 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Начинаем событие, которое бывает всего 1 раз в год
Приехали на выезд, 3 дня проведем вместе в Питере в домиках с банькой )
Здесь я (естественно 😁), команда, резиденты моего клуба и приглашенные эксперты
Пока на месте еще не все - ждем ребят и будем знакомиться
Зацените нашу атмосферу и обещайте не завидовать))
Впереди мастер-классы, разборы, брейнштормы и совместное создание контента
Скоро пойдем ужинать, а зав…
Я тут смонтировала 30 рилс за 2 часа
Товарищи, хочу показать, что мы нафеячили с Олей, которая сейчас находится в личной работе
Я вообще люблю давать больше, чем заявлено, поэтому предложила ей дополнительно помочь с контентом
В итоге:
⭕️ Написала сценарии для 30 рилс
⭕️ С помощью Клода организовала весь процесс монтажа
⭕️ Выбрала с Олей 6 форматов рилс, которые она может постоянно использовать
⭕️ Настроила плаги…
По подкасту - огнище🔥🔥🔥 извиняюсь, но записала на диктофон :) потому что такое надо переслушивать и контролировать свои идеи..
Очень очень полезно, а главное - как нельзя вовремя.
У меня новый продукт в запуске и прямо как говорится "ложка к обеду"
Резиденты уже оценили 3 фишки продаж, которые сработали и принесли 600 оплат за месяц
вы следующие)) жмите сюда и добро пожаловать в клуб
Провальные гипотезы в продаже клуба
Начнем с того, на что я возлагала большие надежды, но реальность решила иначе
1. Показывать взрослые инструменты и сложные решения
Я была уверена, что если показывать конкретные
инструменты, всякие умные таблички, системы и другие взрослые штуки, которые я умею настраивать и которым учу внутри клуба, то народ побежит покупать
Ну потому что это же реально крутые инструменты, кот…
Одно из главных правил системных продаж
➡️ Важно не только оцифровывать свои действия, но и понимать, какие из них нужно повторять
Сейчас объясню, что имею в виду
Месяц назад я рассказывала, что поставила себе цель набрать 1.500 резидентов в клуб
Сразу скажу, что цель оказалась нифига не простой, и пока я с ней, как мне кажется, немного лажаю 😂
Но весь прошлый месяц у меня была задача протестировать кучу разных …
34 рилс за 3 часа написала и сняла
Я всегда делаю пачкой, потому что терпеть не могу думать каждый день про контент
И тем более я достаточно свободолюбивая, если у меня будет каждый день стоять в расписании, что мне нужно снимать рилсы....
я просто поеду кукухой в какой-то момент)))
да просто выгорю от блога
Поэтому вот что я сделала:
1. Разработала свою систему объемного контента
вот здесь писала про него
2. П…
Соберите рисл на месяц с этой таблицей и плагином
Внутри комбо из широких, экспертных и личных роликов - тот самый метод объемного контента, который привел мне 140.000 новых людей в блог за 10 месяцев
План действий
1. Заходите в этот урок и смотрите его
2. Открываете таблицу, заполняете идеи
3. Открываете плагин, пишете с ним рилс
Если на опыте, сделаете рилс на месяц за пару часов
Если пока нет, сами понимаете,…
140.000 новых подписчиков
Столько набрала с начала года. Ставила себе целью пробить планку в 200.000 к новому году
Но справилась быстрее, еще и выросла больше этой цифры))
Кто есть в клубе или был на моих мастер-классах, знает, что цель эта закрыта благодаря объемному контенту
Я публикую широкие, личные и экспертные рилс, которые работают в одной связке - и привлекают по 20.000 новой аудитории в месяц в среднем
…
Блог вырос в 5 раз за несколько дней
с 200 подписчиков - до 1.000
⭕️ рилс залетел на 220.000
⭕️ 100+ сообщений в директ
⭕️ 20 заявок в работу
Помните, звала-приглашала вас на челлендж Магнит клиентов? Вот его результаты )
Екатерина пришла, взяла МОИ готовые схемы, шаблоны на каждый день - сделала все, как мы говорили - и вот результат
Хлопаем, не стесняемся 👏🏻
"До челленджа я думала, что для привлечения клиентов…
Showing the 12 most recent of 221 posts we hold for @fedorova_o_pro. 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.
Posts edited after publishing
@fedorova_o_pro edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
15 August 2026
Most recent edit
15 August 2026
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
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 5 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Подруга маркетолог (Маргарита Захарова) @marketing_dir · 36,395 Telegram ranks this channel #7 of 92 here — alongside 91 others — read 4 September 2026
ChatPlace @chatplaceio · 55,646 Telegram ranks this channel #8 of 85 here — alongside 84 others — read 25 August 2026
маркетинговый бутерброд @kotelkreativov · 26,649 Telegram ranks this channel #15 of 74 here — alongside 73 others — read 23 September 2026
Кирилл Артамонов @artamonov_proreels · 24,917 Telegram ranks this channel #15 of 80 here — alongside 79 others — read 14 September 2026
кабинет маркетолога @youtube_marina · 48,950 Telegram ranks this channel #25 of 87 here — alongside 86 others — read 25 August 2026
Артем Сенаторов печатает... @senatorov_art · 30,376 Telegram ranks this channel #31 of 83 here — alongside 82 others — read 5 September 2026
Арина Алекс. REELS и продажи @ArinaAlexx · 116,083 Telegram ranks this channel #36 of 75 here — alongside 74 others — read 16 August 2026
Маркетинг. Александра Гуреева @alexandra_gureeva · 21,313 Telegram ranks this channel #44 of 89 here — alongside 88 others — read 23 September 2026
Алекс Мерзляков @alexmerzliakov · 20,748 Telegram ranks this channel #61 of 77 here — alongside 76 others — read 4 October 2026
Татьяна Чупрова | Психология Роскошной женщины @tanatanyshachup · 49,763 Telegram ranks this channel #66 of 79 here — alongside 78 others — read 24 August 2026
This channel appears in 11 seed channels' Telegram-generated recommendation lists in total, of which the 10 where it ranks highest are shown above. 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 7 November 2026 — this
entry's latest reading, not the date you are reading this.
“Про продажи | Федорова Ксения” (@fedorova_o_pro), 34,908 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/fedorova_o_pro.
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.