Елена Арикова — стратегический и конверсионный маркетолог. Автор методических пособий маркетингу для предпринимателей. Профессор МВА.
По вопросам прохождения платных программ — Марта @MartaSerebro.
Created
Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
Technology — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 35% 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
58 measurements spanning 90 days, net -308. 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 10,199–10,599 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 58
Measured (UTC)
Subscribers
Change
5 Nov 2026, 15:06
10,245
-2
4 Nov 2026, 12:30
10,247
-3
3 Nov 2026, 13:04
10,250
-4
2 Nov 2026, 10:15
10,254
+1
1 Nov 2026, 12:37
10,253
-11
31 Oct 2026, 16:01
10,264
-3
30 Oct 2026, 17:40
10,267
-6
29 Oct 2026, 16:17
10,273
-5
28 Oct 2026, 15:05
10,278
-7
27 Oct 2026, 15:47
10,285
-1
26 Oct 2026, 14:27
10,286
-5
25 Oct 2026, 14:39
10,291
+4
24 Oct 2026, 14:46
10,287
-5
23 Oct 2026, 13:28
10,292
-2
21 Oct 2026, 07:45
10,294
+2
20 Oct 2026, 03:57
10,292
-8
19 Oct 2026, 00:47
10,300
-7
18 Oct 2026, 03:51
10,307
-5
17 Oct 2026, 00:27
10,312
-4
16 Oct 2026, 01:36
10,316
first reading
Engagement
39 posts held, back to 30 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 45 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
9.92%
avg views ÷ 10,245 subscribers
Avg views / post
1,020
6 posts measured
Reaction rate
3.02%
reactions ÷ views · ER floor
Posts in window
6
of 39 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
Window
Rolling 30 days · latest post in window 21 October 2026
Posts held
39 (30 May 2026 – 21 October 2026)
Views total
6,100
Reactions total
184
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Nov 2026, 08:52 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
850
Videos
702
Links
171
Lifetime counters from Telegram’s own channel header, read 6 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
1h 33m
Average length
9m 21s
Measured directly from 10 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
1,529 reactions across 38 posts, in 22 distinct kinds. The most used accounts for 31.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
479
31.3%
❤
434
28.4%
💯
165
10.8%
👍
142
9.29%
❤🔥
118
7.72%
😁
61
3.99%
🏆
30
1.96%
👏
15
0.981%
😍
15
0.981%
⚡
14
0.916%
🤩
11
0.719%
😐
10
0.654%
🤯
9
0.589%
🍓
7
0.458%
🥰
5
0.327%
🕊
3
0.196%
😨
3
0.196%
😎
2
0.131%
🙏
2
0.131%
🦄
2
0.131%
2 further kinds
2
0.131%
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 38 of the 39 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 1,529 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 39 most recent posts we hold, published 30 May 2026 to 21 October 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
12
across the posts below
Posts paid on
10
of 39 we hold a reading for · 26%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @arikovapro. 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 39 most recent posts we hold for this entry, published 30 May 2026 to 21 October 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
Telegram’s own ‘edited’ marker: 3 of 6 posts held from the last 30 days (50.0%) 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).
Почему те, кто продаёт PR, будут в шоколаде — если пересоберут продукт.
Раньше PR преимущественно работал на узнаваемость, доверие и репутацию. Сегодня у него появляется ещё одна коммерческая функция — влиять на присутствие компании в ответах AI-систем.
Почему?
Во-первых, AI читает сайт как то, что компания говорит о себе, а публикацию в СМИ — как то, что о ней говорят другие. Это два разных основания доверять. Бе…
Telegram тестирует рекомендательную ленту публикаций.
Сегодня канал собирает аудиторию, чтобы показывать ей контент. Завтра контент сможет сам собирать аудиторию канала.
Это самый интересный сценарий для органического роста. И если эксперимент дойдёт до запуска, готовиться лучше сейчас.
Во-первых, специализация канала.
Рекомендации обещают тематические: маркетинг, психология, финансы. А это значит, по содержанию к…
AI ин тим.
AI in team — серия персональных встреч по сборке дорогих экспертных продуктов в эпоху AI.
Публикую запись того, как это уже было. Смотрите со своим продуктом — возможно, вам сразу захочется с ним что-нибудь сделать.
Вторая встреча — в субботу, 17 октября, в 12.00 по Москве. Степень близости с AI значения не имеет — приходите: [ссылка была удалена].
Про сваху и агента
Как все-таки экспертный мир богат на ниши! Знакомилась с анкетами участников буткемпа, увидела «я сваха» — шутка сама напросилась:
— А ты когда себе AI-агента заведёшь? Катька вон уже обзавелась. А ты чего тянешь? Пора бы, часики-то тикают!
Кстати об этом: первое, что я передам всем участникам буткемпа — своего AI-агента-маркетолога, оч толкового ;)
За минуту установите — весь буткем с ним отра…
Я не договорила
Куда интереснее то, что из этого следует. Какой экспертный продукт ты предложишь человеку, который уже получил в ChatGPT ответы на большую часть своих вопросов?
Раньше человек приходил к тебе за знаниями. Теперь он может прийти из диалога, в котором ему уже объяснили проблему и предложили решения.
Получается, сам канал привлечения клиента уже выполнил часть твоей работы.
За что тогда человек запла…
Ваш следующий сайт, возможно, будет разговаривать.
OpenAI объявила о тестировании Sponsored Agents. Человек нажимает на рекламу в ChatGPT и начинает отдельный диалог с AI-представителем компании.
Похоже, OpenAI собирает внутри своей платформы всё больше этапов работы с покупателем: поиск, выбор, рекламный контакт, обсуждение предложения.
Красавцы! Если человек быстрее получает ответ, который помогает принять решен…
Кажется, мы с тобой уже готовились к этому рынку. Когда продавали наставничество.
Помнишь, как мы разбирали твой способ достижения результата? Что ты делаешь, в какой последовательности и на что опираешься, когда принимаешь решения. Мы превращали накопленный опыт в метод, который можно передать человеку.
Сейчас я вижу похожую возможность в работе с AI.
У продавца есть процесс работы с заявкой. У маркетолога — пров…
Скоро у каждого будет готовый AI-агент. Кто объяснит ему, как работать?
Пару дней как в ChatGPT появился Dot. Это уже готовенький AI-агент, которому вот сходу можно поручить работу.
Если такие инструменты продолжат развиваться (а они продолжат), для многих задач собирать агентов вообще не придётся. Достаточно будет подключить нужные источники и объяснить работу.
И вот здесь начнётся самое интересное.
«Обрабатывай…
Недавно начала практиковать медитацию и в очередной раз прожила, как работает один из моих любимых фреймворков про развитие и обучение.
Неосознанная некомпетентность — ты ещё не осознаёшь, что чего-то не знаешь. Со стороны смотришь — ну ок, надо сесть, закрыть глаза и наблюдать за дыханием, всё понятно.
Осознанная некомпетентность — попробовала и увидела, чего не хватает. Ага, оказывается, внимание постоянно уходит…
80% заявок на практикум по GEO — не от владельцев бизнеса
Разобрала анкеты на завтрашний практикум по GEO — продвижению бизнеса в ответах нейросетей. 80% хотят освоить AI-маркетинг, чтобы зарабатывать на услугах для других компаний.
Предпринимателю нужны клиенты в свой бизнес. Будущему дорогому AI-маркетологу — понять, что предложить заказчику, как выполнить работу и за что брать деньги.
Поэтому проведу два практи…
27 сентября, с 12:00 по Москве — Практикум по GEO.
Без технической духоты,
на своём бизнесе.
Клиент спрашивает у ChatGPT, к кому обратиться со своей задачей. Нам нужно разобраться, что сделать, чтобы нейросеть могла найти информацию о вас и предложить среди вариантов.
За день вместе:
→ настроим AI-помощника под твою экспертизу, продукты, клиентов и задачи;
→ соберём структуру и тексты сайта под вопросы, с которым…
Как попасть в рекомендации ChatGPT
Клиент просит нейросеть подобрать подрядчика. Описывает задачу, бюджет, ограничения. Получает несколько рекомендаций. Желательно, чтобы среди них были вы.
Этим занимается GEO — генеративная оптимизация сайта под нейросети. Разбираемся, что нужно сделать.
Шаг 1: Откройте доступ к сайту роботам ChatGPT
Прежде чем оптимизировать тексты под ответы нейросетей, нужно убедиться, что ней…
🔥17❤🔥8👍8❤6
Showing the 12 most recent of 39 posts we hold for @arikovapro. 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.
В усилении своей текущей экспертности с помощью AI61%
В освоении AI и построении своей новой экспертности вокруг него22%
Продолжу зарабатывать так же, как зарабатываю сейчас17%
Shares as published. 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 39 most recent posts we hold, published 30 May 2026 to 21 October 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.
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 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.
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.
Аяз @AyazShabutdinov · 177,846 Telegram ranks this channel #2 of 89 here — alongside 88 others — read 12 August 2026
Радислав Гандапас @radislavgandapascom · 52,606 Telegram ranks this channel #9 of 90 here — alongside 89 others — read 24 August 2026
AI Эксперт: бизнес, агенты, доход @ii_ekspert · 43,961 Telegram ranks this channel #10 of 85 here — alongside 84 others — read 28 August 2026
Нейросети для предпринимателя @neural_for_business · 41,957 Telegram ranks this channel #11 of 83 here — alongside 82 others — read 28 August 2026
Михаил Дашкиев @mikhaildashkiev · 44,820 Telegram ranks this channel #11 of 92 here — alongside 91 others — read 28 August 2026
Нейросети для бизнеса @neuralforbusiness · 24,853 Telegram ranks this channel #17 of 87 here — alongside 86 others — read 14 September 2026
Егор Пыриков @egorpyrikov · 42,890 Telegram ranks this channel #17 of 80 here — alongside 79 others — read 28 August 2026
Камилла про бизнес и маркетинг @camilla_business · 18,666 Telegram ranks this channel #21 of 81 here — alongside 80 others — read 4 October 2026
Пётр Осипов | записки о развитии @petrosipovprivate · 48,070 Telegram ranks this channel #22 of 84 here — alongside 83 others — read 26 August 2026
Я — предприниматель @dashkievpro · 22,160 Telegram ranks this channel #24 of 91 here — alongside 90 others — read 24 September 2026
Нечто | Сообщество предпринимателей @nechto_community · 23,108 Telegram ranks this channel #24 of 89 here — alongside 88 others — read 18 September 2026
Татьяна Маричева @tm_producer · 30,730 Telegram ranks this channel #24 of 85 here — alongside 84 others — read 6 September 2026
Мари про запуски @mari_zapuski · 74,319 Telegram ranks this channel #26 of 82 here — alongside 81 others — read 19 August 2026
Михаил Фатеев @mihailfateev · 22,566 Telegram ranks this channel #27 of 79 here — alongside 78 others — read 19 September 2026
̶Д̶о̶к̶т̶о̶р̶ Андрей Курпатов @kurpatov_tg · 70,455 Telegram ranks this channel #29 of 89 here — alongside 88 others — read 20 August 2026
Михаил Христосенко @m_hristosenko · 25,091 Telegram ranks this channel #30 of 86 here — alongside 85 others — read 14 September 2026
Андрей Лукин Легендарный @andrewlukin_tg · 21,869 Telegram ranks this channel #33 of 67 here — alongside 66 others — read 1 October 2026
Павел Гительман @potok_gitelman · 38,511 Telegram ranks this channel #33 of 91 here — alongside 90 others — read 1 September 2026
Трус Юлия про бизнес @trusprobusiness · 37,004 Telegram ranks this channel #33 of 88 here — alongside 87 others — read 31 August 2026
Хайлайты | Журнал про инфобиз и edtech @infohilights · 20,970 Telegram ranks this channel #35 of 82 here — alongside 81 others — read 24 September 2026
🟢Родочинская в сети @julia_rodochinskaya · 19,014 Telegram ranks this channel #36 of 89 here — alongside 88 others — read 2 October 2026
Мария Солодар | Интернет-маркетинг и фриланс @marketing_Solodar · 21,911 Telegram ranks this channel #37 of 84 here — alongside 83 others — read 21 September 2026
Михаил Гребенюк @grebenukm · 251,925 Telegram ranks this channel #38 of 95 here — alongside 94 others — read 10 August 2026
Максим Хирковский @maksimhirk · 19,557 Telegram ranks this channel #43 of 76 here — alongside 75 others — read 1 October 2026
This channel appears in 45 seed channels' Telegram-generated recommendation lists in total, of which the 24 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 5 November 2026 — this
entry's latest reading, not the date you are reading this.
“ARIKOVA PRO. ЯРД на AI” (@arikovapro), 10,245 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/arikovapro.
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.