Книга как инструмент для сложных продаж Пытаясь продавать дорогую услугу напрямую, можно выглядеть навязчиво и отпугнуть потенциального клиента. В статье на примере Expert Book показано, как экспертная книга мягко готовит читателя к разговору, создавая доверие и доказывая компетенцию. Это переход от агрессивного маркетинга к естественному запросу на услугу. Читайте о четырёх этапах работы книги.

Channel
Soft Skill | Навыки
@iAmbitious
On this record: Topic · Growth · Engagement · What this channel posts · Advertising · Posts · Citations · Telegram's recommendations · Cite this entry
125,487subscribers
-908 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
Register entry
| Telegram ID | -1001124171565 |
|---|---|
| Type | Channel |
| Username | @iAmbitious |
| Description | Сообщество экспертов и профессионалов 🚀 👉 Купить рекламу https://reklama.expert-book.pro/telegram Менеджер @JaMasha 📖 Реклама внутри книги https://expert-book.pro/pp 🥇 Книга, которая усиливает ваш авторитет: https://expert-book.pro/ |
| Created | 28 September 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 10 November 2026 |
| Measurements held | 65 |
| Confirmed unchanged | 1 time, most recently 10 November 2026 |
| On Telegram | t.me/iAmbitious |
Topic
Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 9 August 2026 and assigned it the closest of 31 fixed categories, at 54% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Nov 2026, 15:56 | 125,487 | -87 |
| 9 Nov 2026, 03:06 | 125,574 | -72 |
| 7 Nov 2026, 17:07 | 125,646 | +20 |
| 6 Nov 2026, 16:26 | 125,626 | -24 |
| 5 Nov 2026, 15:29 | 125,650 | -31 |
| 4 Nov 2026, 15:54 | 125,681 | +14 |
| 3 Nov 2026, 16:16 | 125,667 | -25 |
| 2 Nov 2026, 12:59 | 125,692 | -198 |
| 1 Nov 2026, 09:39 | 125,890 | -20 |
| 31 Oct 2026, 10:28 | 125,910 | -26 |
| 30 Oct 2026, 13:30 | 125,936 | -233 |
| 29 Oct 2026, 13:16 | 126,169 | +2 |
| 28 Oct 2026, 10:09 | 126,167 | -7 |
| 27 Oct 2026, 10:49 | 126,174 | -15 |
| 26 Oct 2026, 14:16 | 126,189 | -80 |
| 25 Oct 2026, 17:08 | 126,269 | -13 |
| 24 Oct 2026, 19:30 | 126,282 | -49 |
| 23 Oct 2026, 20:00 | 126,331 | -36 |
| 22 Oct 2026, 21:51 | 126,367 | -21 |
| 21 Oct 2026, 17:28 | 126,388 | first reading |
Engagement
55 posts held, back to 12 June 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 197 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 4.54%
- avg views ÷ 125,487 subscribers
- Avg views / post
- 5,690
- 11 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 11
- of 55 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.
| Window | Rolling 30 days · latest post in window 11 November 2026 |
|---|---|
| Posts held | 55 (12 June 2026 – 11 November 2026) |
| Views total | 62,640 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Nov 2026, 16:02 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
- ≈1,310
- Videos
- ≈9
- Links
- ≈609
Lifetime counters from Telegram’s own channel header, read 11 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
- 44s
- Average length
- 44s
Measured directly from 1 video 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.
Advertising
- Ad load
- 3.64%
- 2 of 55 posts carry an ad marker
- Regulatory tokens
- 0
- none — marked by hashtag only
- Median views · ads
- 5,270
- over 2 measured posts
- Median views · rest
- 7,580
- over 53 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Measured over the 55 most recent posts we hold, published 12 June 2026 to 11 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Recent posts
Telegram’s own ‘edited’ marker: 1 of 11 posts held from the last 30 days (9.09%) 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).
Команда решает больше, чем идея Когда проект требует согласовать несколько ролей и зон ответственности, важнее не красивая презентация, а умение объяснять, слушать и договариваться без обид. Это хороший тест для soft skills: если человек может спокойно уточнить, признать пробел и помочь партнёру собрать смысл, он усилит любую команду. Soft skill | ⚰️ «Шесть правил для мёртвого человека» Он умер. И наконец начал жи…
Тебя так долго учили быть хорошим, что ты забыл, чего хочешь. Хороший сын должен. Хороший муж обязан. Хороший сотрудник не подводит. Хороший друг всегда поможет. Хороший человек поймёт, потерпит, уступит и желательно ещё поблагодарит за возможность. Прекрасная система воспитания. Особенно для всех, кроме тебя. К сорока годам можно заработать деньги, построить карьеру, обзавестись семьёй и однажды обнаружить, что пол…
Tesla умеет удивлять Новый Roadster от Tesla не просто быстрая машина, а настоящий аттракцион. Представьте: разгон до сотни меньше чем за секунду и эффектный взлёт прямо со сцены. Это выглядит как кадр из фантастического фильма, а не автомобильная премьера. Такие презентации — отличный урок по soft skills. Умение создать "вау-эффект", захватить внимание и превратить технические характеристики в захватывающую истори…
💰 ПРОДАЙ СЕБЯ ДОРОГО Можно быть сильным специалистом, но зарабатывать меньше, чем заслуживаешь. Часто дело не в опыте, а в умении показать свою ценность, уверенно назвать цену и провести переговоры. Приглашаю на практический 4-дневный онлайн-интенсив. В программе: — позиционирование и презентация своих услуг; — уверенное общение с клиентами; — переговоры, цена и работа с возражениями; — упаковка Instagram и создан…
Из опыта компании в деловую книгу Многие авторы из IT-сферы сталкиваются с вопросом, как структурировать накопленные знания. Разобрали, как превратить архитектурные решения, кейсы и интервью в издание, которое работает на репутацию. Затронули вопросы целевой аудитории, конфиденциальности, бюджета и интеграции книги в sales-процессы. Смотрите пошаговый план.
«Ваш кофе готов. Ваше будущее — не очень» В одном маленьком кафе есть кассовый аппарат с паршивой привычкой. Иногда он печатает на чеке два лишних слова: «Последний визит». Без предупреждений, объяснений и возможности пожаловаться администратору. Люди после таких чеков действительно перестают возвращаться. Правда, однажды выясняется, что самое страшное предсказание может касаться вовсе не смерти. Жанна работает зде…
Самый мощный бренд тоже может дать слабину Когда кажется, что позиции непоколебимы, а имя говорит само за себя, можно легко упустить момент для перемен. Огромная популярность порой оборачивается ловушкой, мешая вовремя заметить новые тренды и запросы. Более молодые и гибкие игроки часто оказываются на шаг впереди именно потому, что им нечего терять. Они готовы экспериментировать и быстро адаптироваться. Умение вовр…
Как сделать книгу из бухгалтерской практики Как превратить многолетний опыт компании в структурированную книгу, не раскрывая коммерческих тайн? На примере бухгалтерской фирмы разобрали, с чего начать: от сбора и обезличивания кейсов до проверки фактов, построения структуры и безопасного запуска. Показали практичный путь от идеи до готового издания. Изучите порядок действий.
Запустить свой мозг в космос Знаешь, как часто мы говорим о прокачке своих навыков? Вот и в мире технологий происходит то же самое. Компании тестируют, как их разработки ведут себя в самых неожиданных условиях. Прямо сейчас на орбите работает оборудование, проходящее уникальную проверку. Это не про масштаб, а про выход из зоны комфорта. Наши soft skills — это те же процессоры. Их нужно периодически запускать в "кос…
Мы вообще удивительно хорошо умеем оформлять возвраты. Не подошёл размер — вернуть. Не понравился цвет — вернуть. Передумал — вернуть. С людьми, решениями и собственной жизнью чуть сложнее. На этом и построен «Кот из отдела возвратов». В огромной компании появляется кот, который начинает садиться на коробки именно тех клиентов, чья настоящая причина возврата совсем не совпадает с той, что написана в анкете. И пос…
Иногда кажется, что мир ИИ ускоряется Очередная новинка от OpenAI: круглосуточные автономные помощники, которые могут общаться голосом и текстом в самых разных приложениях. Похоже, скоро понятие «умной среды» станет повседневным. Важно не растеряться в этом потоке и понять, что это меняет для нас лично. Развитие технологий ставит во главу угла именно наши человеческие навыки. Умение задавать правильные вопросы, раб…
Showing the 12 most recent of 55 posts we hold for @iAmbitious. 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.
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.
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.
@BigBrains · 62,764#1
@skillget · 79,414#2
@DELO_govorim · 67,708#3
@iznytri · 79,774#4
@profi_kursi_gaidi · 93,001#5
@marketolog_marketing · 80,677#6
@zapwork · 127,071#7
@effective_official · 42,457#8
@Kultura_obuchenie · 49,655#9
@SilaSlov · 117,501#10
@Razvitie_sila_voli · 20,083#11
@flibusta_anglysky · 366,197#12
@communication_department · 40,409#13
@free_edu · 306,615#14
@motionchek · 41,156#15
@Psihologiya_samorazvitie · 49,373#16
@Knizhnaya_polka_marketologa · 34,864#17
@frilans_rabota_vakansii · 35,729#18
@ikyklovod · 68,936#19
@Vnaime_norm · 80,321#20
@marketolog_digital · 46,508#21
@kapital_amerika · 28,234#22
@Prodavec_peregovory · 35,562#23
@moe_obrazovanie · 225,032#24
@ThinkCritical · 46,997#25
@artemkodolov · 622#26
@Energiya_molodost · 49,904#27
@soft_skillz · 5,219#28
@knigant · 6,055#29
@teamshapers · 5,851#30
@educationfree · 8,893#31
@psihoa · 13,685#32
@HR_Perezagruzka · 7,004#33
@ingrp_ru · 1,534#34
@wellbeingclub2020 · 2,282#35
@Psikhologiaz · 24,466#36
@nezavhr · 3,255#37
@worklis · 67,138#38
@startup_club24 · 74,944#39
@work_finde · 86,644#40
@Cena_uspeha · 57,919#41
@ikniga · 825,861#42
@Pisatel_rasskazy · 88,852#43
@Joga_dlya_nachinayushchih · 17,137#44
@Meditaciya_dlya_nachinayushchih · 17,577#45
@podkasti_audioknigi · 84,579#46
@MargulanSeissembai · 206,808#47
@hr2hr · 2,910#48
@defolt_finansist · 49,190#49
@iRukovoditel · 30,925#50
@lektorium20 · 114,343#51
@ruGrammar · 120,322#52
@podkasty24 · 187,151#53
@Perevod_s_bogatogo · 17,388#54
@marketpsy · 172,106#55
@iRukovoditelStudy · 2,507#56
@hacks_excel · 283,052#57
@PsyEducation · 58,838#58
@radislavgandapascom · 52,696#59
@rabotalogia · 4,904#60
@edusondaily · 20,084#61
@super_recruitment · 3,513#62
@HRpeople · 10,780#63
@starostina_iuliia · 5,487#64
@emergency_HR · 8,422#65
@talent_rocks · 4,829#66
@komandos_n1 · 15,136#67
@zanpravo · 9,920#68
@talent_box_ttisi · 1,185#69
@hr_perfect_chat · 9,648#70
@mariiabramova · 894#71
@myspacelove · 10,803#72
@YourMustRead · 25,560#73
@ba_sa_analytics · 52,458#74
@yoga_zdorovie · 8,631#75
@eelizarowa · 2,715 (as read 13 August 2026)#76
@worldthought · 174,940#77
@Star_Ushki · 178#78
@bankiforme · 930#79
@tobesuccessful · 2,994#80
@WomanXXI · 117,561#81
@masloyvtg · 8,824#82
@abziyka · 427#83
@yuliatitel · 4,751#84
@Hey_HR · 14,196#85
@AphorismTG · 106,760#86
@laforzza · 661#87
@PrimeCoachUz · 796#88
@shagvpered_nsk · 211#89
@anglysky_yazyki · 57,104#90
@iskra_txt · 278#91
@creativille · 2,458#92
@SpotOneSchool · 936#93
@leginf · 10,970#94
@englishforkids_tg · 943#95
Read from Telegram’s recommendation API, most recently 13 August 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.
@Razvitie_sila_voli · 20,083
Telegram ranks this channel #1 of 68 here — alongside 67 others — read 27 September 2026
@motionchek · 41,156
Telegram ranks this channel #1 of 88 here — alongside 87 others — read 28 August 2026
@Kultura_obuchenie · 49,655
Telegram ranks this channel #1 of 79 here — alongside 78 others — read 24 August 2026
@DELO_govorim · 67,708
Telegram ranks this channel #1 of 69 here — alongside 68 others — read 20 August 2026
@effective_official · 42,457
Telegram ranks this channel #2 of 85 here — alongside 84 others — read 28 August 2026
@skillget · 79,414
Telegram ranks this channel #2 of 88 here — alongside 87 others — read 18 August 2026
@BigBrains · 62,764
Telegram ranks this channel #3 of 82 here — alongside 81 others — read 21 August 2026
@ikyklovod · 68,936
Telegram ranks this channel #3 of 86 here — alongside 85 others — read 20 August 2026
@marketolog_marketing · 80,677
Telegram ranks this channel #3 of 95 here — alongside 94 others — read 18 August 2026
@profi_kursi_gaidi · 93,001
Telegram ranks this channel #3 of 77 here — alongside 76 others — read 16 August 2026
@communication_department · 40,409
Telegram ranks this channel #4 of 74 here — alongside 73 others — read 29 August 2026
@Psihologiya_samorazvitie · 49,373
Telegram ranks this channel #4 of 82 here — alongside 81 others — read 25 August 2026
@Cena_uspeha · 57,919
Telegram ranks this channel #4 of 50 here — alongside 49 others — read 23 August 2026
@iznytri · 79,774
Telegram ranks this channel #5 of 85 here — alongside 84 others — read 18 August 2026
@Knizhnaya_polka_marketologa · 34,864
Telegram ranks this channel #6 of 83 here — alongside 82 others — read 2 September 2026
@zapwork · 127,071
Telegram ranks this channel #6 of 96 here — alongside 95 others — read 13 August 2026
@Vnaime_norm · 80,321
Telegram ranks this channel #7 of 94 here — alongside 93 others — read 18 August 2026
@frilans_rabota_vakansii · 35,729
Telegram ranks this channel #8 of 74 here — alongside 73 others — read 1 September 2026
@Pisatel_rasskazy · 88,852
Telegram ranks this channel #10 of 69 here — alongside 68 others — read 17 August 2026
@SilaSlov · 117,501
Telegram ranks this channel #12 of 91 here — alongside 90 others — read 14 August 2026
@podkasti_audioknigi · 84,579
Telegram ranks this channel #13 of 65 here — alongside 64 others — read 18 August 2026
@defolt_finansist · 49,190
Telegram ranks this channel #14 of 64 here — alongside 63 others — read 23 August 2026
@kapital_amerika · 28,234
Telegram ranks this channel #16 of 71 here — alongside 70 others — read 6 September 2026
@Prodavec_peregovory · 35,562
Telegram ranks this channel #19 of 88 here — alongside 87 others — read 31 August 2026
This channel appears in 35 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 10 November 2026 — this entry's latest reading, not the date you are reading this.
“Soft Skill | Навыки” (@iAmbitious), 125,487 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/iAmbitious.
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.