Telegram RegisterThe public register of Telegram
Telegram profile photo for @b2cClub

Channel

@b2cClub

@b2cClub

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

173subscribers

+0 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001490844638
TypeChannel
Username@b2cClub
DescriptionВсё для профи в продажах в в2с сегменте.
CreatedBetween 1 June 2019 and 30 September 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live15 August 2026
Measurements held2
On Telegramt.me/b2cClub

Growth

1737 Aug 2026, 08:41 — 173 subscribers8 Aug 2026, 14:30 — 173 subscribers7 Aug 2026, 08:418 Aug 2026, 14:30
2 measurements spanning 1 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 172–174 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 14:30173no change
7 Aug 2026, 08:41173first reading

Engagement

20 posts held, back to 14 April 2024the 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.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 10 February 2025. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Photos
3
Videos
2
Links
5

Lifetime counters from Telegram’s own channel header, read 8 August 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
59s
Average length
30s

Measured directly from 2 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

20 reactions across 12 posts, in 5 distinct kinds. The most used accounts for 45.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍945.0%
🔥840.0%
15.00%
🤔15.00%
🤣15.00%

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 13 of the 20 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 20reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 14 April 2024 to 10 February 2025, 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

10 Feb 2025, 01:59 UTC58 views1 reactionsread 8 August 2026
Forwarded from @pddPracticumVideo

Видео от Вадим

🔥1

10 Feb 2025, 01:59 UTC67 views1 reactionsread 8 August 2026
Forwarded from @pddPracticumVideo

Видео от Вадим

🤣1

10 Feb 2025, 01:59 UTC81 viewsread 8 August 2026
Forwarded from @pddPracticumPhoto

Для тех, кто хочет поздравить - мой благотворительный проект https://t.me/tribute/app?startapp=skcb

14 Jan 2025, 16:47 UTC104 views3 reactionsread 8 August 2026
Forwarded from @dstebaPhoto

Дядя Стёба

🔥3

11 Dec 2024, 01:49 UTC176 views0 reactionsread 8 August 2026

🤔Формирование модели оценки😉 Однажды утром ты тащишься на работу, борясь с усталостью. Ты всю ночь чах, как кощей над златом, над ежемесячным отчетом, чтобы впечатлить новую начальницу. Усилия окупились с лихвой. Ты доволен результатом, как слон и уверен, что начальница тоже кипяточком припустит от счастья. Идёшь прямо к ней в кабинет, кладёшь отчёт ей на стол, улыбаясь до ушей. Но, эта стерва, берет отчет, бегло п

21 Nov 2024, 23:58 UTC162 views1 reactionsread 8 August 2026

🧐Обзор: Единство сообщения и восприятия🤔 Смотри‑ка! Мы, наконец, добрались до запроса. Давай вкратце повторим четыре первых этапа: • Во‑первых, с помощью прайминга, якорей и ожиданий создали у объекта шаблон восприятия, добившись более благоприятного отношения. • Во‑вторых, постарались изменить язык тела и поведение объекта так, как если бы он хотел ответить нам согласием, создав конгруэнтное отношение. Т

👍1

9 Nov 2024, 00:41 UTC109 views2 reactionsread 8 August 2026

🧐Стратегия убеждения: Нейтрализация отрицательных эмоций.😏 Как использовать слепоту к изменениям, чтобы добиться от объекта благоприятной реакции на сообщение или согласия на запрос, даже если он кажется ему неприятным. Систематическая десенсибилизация. В некоторых случаях, когда запрос кажется объекту неприятным, можно постепенно подготовить объект, прибегая к систематической десенсибилизации. Ее часто используют

👍2

29 Oct 2024, 23:19 UTC76 views1 reactionsread 8 August 2026

🙏Ожидания🤷‍♀️ Люди, из предыдущего поста 👆, не замечали, что разговаривают с совершенно другим человеком, потому что не ожидали, что такая перемена может произойти. Во фразе «Иногда наш мозг может быт настоящей загадкой»? есть опечатка, но ты не ожидал, что она там будет, и эти ожидания создали шаблон восприятия, так что почти никто не заметил. Точно так же прохожие ожидали, что разговор с ученым, якобы спрашиваю

👍1

29 Oct 2024, 08:49 UTC79 viewsread 8 August 2026

🤼Постепенные изменения🤼‍♂️ Очень трудно заметить изменения, когда они происходят мелкими шажками. Например, эмодзи в начале и конце заголовка👆 - разные). Существует такое понятие, как порог различения – минимальное количество изменений, которые необходимо добавить к стимулу для распознавания различия. Можно провести серию экспериментов, чтобы выяснить точное количество изменений, которые нужно внести, чтобы люди де

Showing the 12 most recent of 20 posts we hold for @b2cClub. 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.

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.

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

“@b2cClub” (@b2cClub), 173 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/b2cClub.

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.