VoITech B2B Sales pinned «😎 Гид по каналу: B2B-продажи в эпоху AI VoiTech: AI-first команда экспертов по B2B продажам, LinkedIn + Email Outreach и GTM-стратегиям для выхода на западные рынки Канал для сервисных и продуктовых B2B компаний, которые хотят: - прогнозируемый рост - выход…»

Channel
VoITech B2B Sales
@VoITechSales
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
363subscribers
+0 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1002473254390 |
|---|---|
| Type | Channel |
| Username | @VoITechSales |
| Description | voitech.ru Я - Евгений Войтишек. Здесь я рассказываю о том, как мы с командой выводим бизнес на международный рынок с помощью LinkedIn и Email outreach. Делюсь инсайтами о B2B продажах и маркетинге, и эффективными практиками лидогенерации. |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 6 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/VoITechSales |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Aug 2026, 21:02 | 363 | no change |
| 6 Aug 2026, 20:32 | 363 | first reading |
Engagement
6 posts held, back to 3 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 31.3%
- avg views ÷ 363 subscribers
- Avg views / post
- 114
- 2 posts measured
- Reaction rate
- 30.8%
- reactions ÷ views · ER floor
- Posts in window
- 3
- of 6 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 6 August 2026 |
|---|---|
| Posts held | 6 (3 June 2026 – 6 August 2026) |
| Views total | 227 |
| Reactions total | 70 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 21:02 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
- 272
- Videos
- 4
- Links
- 39
Lifetime counters from Telegram’s own channel header, read 6 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.
Reaction mix
126 reactions across 5 posts, in 13 distinct kinds. The most used accounts for 26.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 33 | 26.2% | |
| 🎉 | 27 | 21.4% | |
| 🍾 | 15 | 11.9% | |
| ❤🔥 | 11 | 8.73% | |
| ❤ | 8 | 6.35% | |
| ✍ | 7 | 5.56% | |
| custom 5467539229468793355 | 6 | 4.76% | |
| 👍 | 6 | 4.76% | |
| custom 5472146462362048818 | 5 | 3.97% | |
| ⚡ | 3 | 2.38% | |
| 🤔 | 3 | 2.38% | |
| 😎 | 1 | 0.794% | |
| 🤓 | 1 | 0.794% |
Custom emoji. 2 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.
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 5 of the 6 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 126reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 6 most recent posts we hold, published 3 June 2026 to 6 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.
Recent posts
😎 Гид по каналу: B2B-продажи в эпоху AI VoiTech: AI-first команда экспертов по B2B продажам, LinkedIn + Email Outreach и GTM-стратегиям для выхода на западные рынки Канал для сервисных и продуктовых B2B компаний, которые хотят: - прогнозируемый рост - выход на новые рынки - современные AI-first практики в продажах Что внутри канала: 1️⃣ Кейсы: как мы запускали международные продажи - что тестировали, что сработал…
❤5🔥5⚡3👍2🤓1
У меня сегодня юбилей! Мне исполняется 40 лет. По ощущениям я где-то между "всё только начинается" и "где купить хороший ортопедический матрас?". А ещё в июле исполняется 5 лет VoITech! По такому случаю я решил спросить команду, какой они видят нашу компанию. Эти три пункта были в каждом ответе: Нам мало просто хорошего результата – мы всегда стремимся сделать больше и лучше. Нам важно приносить реальную пользу и…
🎉27🍾15❤🔥11❤1
Что влияет на конверсию в холодных звонках Мы разобрали 397 транскриптов звонков и выделили 5 паттернов, которые приводили к демо и 5 паттернов, которые снижали конверсию. Собрали их на карточках вместе с диалогами 🤩 Основной вывод, который мы сделали Побеждают не самые красноречивые менеджеры, а те, кто понимает, в каком моменте находится и что делать дальше. Накидайте 💡если было полезно и 📞 если у вас в карьере…
🔥8custom 54675392294687933556custom 54721464623620488185
Что мы поняли после 2500+ холодных звонков В прошлом посте мы рассказывали, как на одном из наших проектов холодные звонки внезапно показали себя лучше LinkedIn-аутрича. Сегодня дополним этот кейс цифрами и инструментами, с которыми мы работали. За два месяца мы ▪️сделали 34 000+ наборов ▪️провели 2500+ звонков ▪️разобрали 397 транскриптов На карточках – полная воронка, цифры по каждому этапу и основные KPI, на к…
🔥9✍4❤2😎1
Холодные звонки могут работать лучше, чем Linkedin. Но есть нюанс Мы в VoITech давно не использовали холодные звонки, потому что считали, что в outbound продажах на международные рынки этот инструмент также эффективен, как телеграм без VPN. Оказалось, нам казалось – и есть еще кейсы, когда холодные звонки работают эффективнее LinkedIn аутрича. Рассказываем: ▪️Клиент: Sprites.ai AI-платформа для маркетологов и рекл…
🔥11👍4✍3🤔3
Showing the 6 most recent of 6 posts we hold for @VoITechSales. 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.
Citation-graph rank
Citation-graph rank — 877,679 of 1,160,990entries 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
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 1 registered channel — 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.
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 6 August 2026 — this entry's latest reading, not the date you are reading this.
“VoITech B2B Sales” (@VoITechSales), 363 subscribers as measured 6 August 2026. Telegram Register, tgregister.com/channel/VoITechSales.
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.