Telegram RegisterThe public register of Telegram
Telegram profile photo for Social Selling в LinkedIn, ABM, B2B-маркетинг (ModumUp)

Channel

Social Selling в LinkedIn, ABM, B2B-маркетинг (ModumUp)

@digitalb2b

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry

6,401subscribers

-85 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001234638055
TypeChannel
Username@digitalb2b
DescriptionКанал о Social Selling в LinkedIn, ABM и других результативных подходах в B2B-маркетинге и GTM. Создатель - Ольга Бондарева, founder агентства ModumUp https://modumup.com Мои контакты - @OlgaBond https://www.linkedin.com/in/olgabond
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live2 November 2026
Measurements held24
Confirmed unchanged1 time, most recently 2 November 2026
On Telegramt.me/digitalb2b

Topic

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 12 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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

6,4016,4866,443.56 August 2026 — 6,486 subscribers6 August 2026 — 6,486 subscribers12 August 2026 — 6,480 subscribers15 August 2026 — 6,475 subscribers18 August 2026 — 6,472 subscribers21 August 2026 — 6,480 subscribers25 August 2026 — 6,485 subscribers28 August 2026 — 6,476 subscribers30 August 2026 — 6,473 subscribers2 September 2026 — 6,472 subscribers7 September 2026 — 6,471 subscribers11 September 2026 — 6,477 subscribers15 September 2026 — 6,484 subscribers19 September 2026 — 6,478 subscribers29 September 2026 — 6,472 subscribers6 October 2026 — 6,458 subscribers12 October 2026 — 6,438 subscribers15 October 2026 — 6,433 subscribers18 October 2026 — 6,422 subscribers21 October 2026 — 6,419 subscribers24 October 2026 — 6,412 subscribers27 October 2026 — 6,408 subscribers30 October 2026 — 6,405 subscribers2 November 2026 — 6,401 subscribers6 August 20262 November 2026
24 measurements spanning 88 days, net -85. 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 6,388–6,499 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)SubscribersChange
2 Nov 2026, 14:056,401-4
30 Oct 2026, 13:566,405-3
27 Oct 2026, 21:066,408-4
24 Oct 2026, 17:456,412-7
21 Oct 2026, 15:356,419-3
18 Oct 2026, 07:456,422-11
15 Oct 2026, 12:566,433-5
12 Oct 2026, 22:106,438-20
6 Oct 2026, 04:206,458-14
29 Sept 2026, 09:206,472-6
19 Sept 2026, 11:426,478-6
15 Sept 2026, 09:016,484+7
11 Sept 2026, 18:396,477+6
7 Sept 2026, 05:576,471-1
2 Sept 2026, 12:136,472-1
30 Aug 2026, 19:356,473-3
28 Aug 2026, 03:176,476-9
25 Aug 2026, 00:226,485+5
21 Aug 2026, 22:286,480+8
18 Aug 2026, 20:466,472first reading

Engagement

32 posts held, back to 18 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 11 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.83%
avg views ÷ 6,401 subscribers
Avg views / post
437
10 posts measured
Reaction rate
2.24%
reactions ÷ views · ER floor
Posts in window
10
of 32 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
WindowRolling 30 days · latest post in window 29 October 2026
Posts held32 (18 June 2026 – 29 October 2026)
Views total4,369
Reactions total98
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken4 Nov 2026, 10:34 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
242
Videos
19
Links
382

Lifetime counters from Telegram’s own channel header, read 4 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.

Reaction mix

325 reactions across 29 posts, in 20 distinct kinds. The most used accounts for 31.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤10131.1%
🔥7021.5%
❤‍🔥288.62%
✍268.00%
👍216.46%
🆒195.85%
👏134.00%
⚡82.46%
😁72.15%
💯61.85%
🦄61.85%
🤝51.54%
🙏41.23%
👀20.615%
👌20.615%
🤩20.615%
🤯20.615%
🎉10.308%
😎10.308%
🤗10.308%

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 29 of the 32 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 325 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 32 most recent posts we hold, published 18 June 2026 to 29 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.

Recent posts

Telegram’s own ‘edited’ marker: 1 of 10 posts held from the last 30 days (10.0%) 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).

29 Oct 2026, 12:11 UTC240 views8 reactionsread 4 November 2026
Photo

Как B2B-маркетологи используют данные для роста продаж и работы с клиентами Подготовили 15-минутное видео с лучшими инсайтами из нашего русскоязычного подкаста B2B Marketing Leaders про data-driven B2B-маркетинг. Спикеры: • Ксения Горбунова, Distribution Marketing Manager, EMEA в Acronis • Вадим Кожин, CMO в VK Tech • Никита Стариков, Manager, Marketing Analytics and Insights в Sun Life О чем поговорили: Снач…

✍3❤2🆒2⚡1

28 Oct 2026, 11:51 UTC322 views13 reactionsread 4 November 2026

AI-generated content - почему геймеры устраивают скандалы, а LinkedIn-юзеры жрут как миленькие Муж периодически рассказывает мне всякие скандалы из гейминга, что вот люди обиделись и захейтили игру из-за того, что узнали, что что-то там сделано с AI. Неуважение к игрокам, какой ужас! А заходишь в LinkedIn, казалось бы, там люди не менее уважаемые, но при этом с удовольствием терпят AI-сгенерированный контент, дружн…

💯5❤3🔥2⚡1❤‍🔥1😎1

26 Oct 2026, 11:47 UTC417 views10 reactionsread 4 November 2026

Обожаю эти разговоры о том, что аутрич не работает Как же так, писать кому-то вхолодную? 😱 Навязываться что ли? Есть же мечта, что клиенты будут приходить к вам сами из-за того, что у вас хороший контент, сайт, сарафанное радио. Но реальность такова, что в B2B, особенно при выходе на крупных заказчиков, все равно нужен элемент проактивности - редко они сами ищут, оставляют заявку на сайте и т.п. Так что аутрич ну…

🔥6⚡1❤1👍1🤗1

22 Oct 2026, 11:18 UTC571 views9 reactionsread 4 November 2026
Photo

На прошлой неделе провела митап нашего комьюнити B2B Marketing Leaders в Сан-Франциско. Спикеры из Cisco и Palo Alto Networks поделились своими сценариями и кейсами использования AI в маркетинге. Выступления решили не снимать. То, что мы обсуждали на встрече - это уникальная информация, доступная только тем, кто пришел. Этим встречи комьюнити особенно ценны. Прити из Cisco поделилась, как ее команда выстраивает ра…

🔥4❤2❤‍🔥1🦄1🆒1

20 Oct 2026, 12:22 UTC377 views7 reactionsread 4 November 2026
Photo

Как B2B-компании оценивают лиды и находят новые opportunities Подготовили 15-минутное видео с лучшими инсайтами из нашего англоязычного выпуска подкаста B2B Marketing Leaders про лиды в B2B-маркетинге. Спикеры: • Ralff Tozatti, Global Director Marketing AI Strategy, Systems & Automation в Thomson Reuters • Hitendar Sethi, Director Product Marketing | AI Security в Palo Alto Networks • Rahul Agarwal, Product Manage…

❤‍🔥2✍1❤1👏1🔥1🆒1

20 Oct 2026, 11:16 UTC320 views9 reactionsread 4 November 2026
Photo

Расскажу про второй день TechCrunch Disrupt. Была на сессии со спикером из NVIDIA про physical AI и про то, когда же роботы дождутся своего ChatGPT moment. AI пока плохо понимает законы физики, но как сказал спикер, give it a year. Затронули тему гуманоидных роботов: ноги нужны, чтобы работать на неровных поверхностях, в остальных ситуациях можно обойтись без гуманоидов. Bill Tai, инвестор в Canva, Zoom, Twitter и …

❤2❤‍🔥2🆒2👀1👏1🦄1

15 Oct 2026, 12:35 UTC445 views8 reactionsread 4 November 2026
Photo

Как создавать B2B-контент, полезный для клиентов и эффективный для бизнеса Подготовили 15-минутное видео с лучшими инсайтами контент-маркетинга в B2B. Спикеры: • Ирина Чернова, Demand Marketing Manager EMEA&LATAM в NetApp • Александра Лобода, Partner Marketing Lead Middle & Eastern Europe в SAP • Иван Астахов, ex-Chief Marketing Officer в Jet Finance • Вероника Савченко, Sales and Marketing Specialist в Spreadym …

⚡3✍1❤1❤‍🔥1🔥1🆒1

14 Oct 2026, 13:04 UTC485 views12 reactionsread 4 November 2026
Photo

Была вчера на TechCrunch Disrupt - первый день. Делюсь инсайтами. Начала я с очень оптимистичной сессии "What Happens When OpenAI Ships Your Roadmap?". Дискуссию вели венчурный капиталист, CEO Webflow и CEO какой-то опенсорс-платформы. Ну что делать в такой ситуации - думать, как меньше зависеть от конкретных фич и давать больше ценности за пределами всего этого. Я в связи с этим думаю, что наш путь с построением ко…

❤4✍2🔥2❤‍🔥1🦄1🙏1🆒1

13 Oct 2026, 13:02 UTC510 views10 reactionsread 4 November 2026

У нового клиента по Social Selling в LinkedIn один из первых постов получил 77,578 impressions. Это в 7 раз больше, чем у человека коннектов - завирусился, в общем. И это при средних 500-1,500 impressions до нас. С одной стороны, прикольно, только начали работать, и сразу такой wow-эффект (так бывает не всегда). С другой, я всегда скептически отношусь к погоне за вирусными постами и большими охватами. Что важно в э…

🔥3❤‍🔥2👍2❤1👏1🆒1

9 Oct 2026, 16:13 UTC682 views12 reactionsread 4 November 2026
Photo

Спам, который мы заслужили 😄️️️️️️ мне, кстати, понравились подход и персонализация - можно взять на заметку. И если бы в США это все не стоило космических денег, я бы, может быть, даже ответила. Какие аутрич-сообщения не вызывают отторжения у вас?

😁7🔥3✍2

5 Oct 2026, 11:51 UTC840 views10 reactionsread 4 November 2026
Photo

Data-driven B2B marketing: как данные помогают лучше понять клиента и найти новые возможности для роста бизнеса Подготовили 15-минутное видео с самыми лучшими инсайтами про data-driven B2B-маркетинг. Спикеры: • Dina Habib O'Mara, Global, Industry Partner Strategy, GTM Co-Sell Lead at Microsoft • Christiaan Davel, Global Marketing Manager at Hilti Group • Kristi Berg McCutchen, Global Marketing Executive at aXs, re…

❤4❤‍🔥2🔥2✍1🆒1

1 Oct 2026, 11:33 UTC622 views16 reactionsread 4 November 2026
Photo

В последнее время я поучаствовала в двух закрытых ужинах в Остине, Техас Это классный инструмент построения отношений, особенно в B2B. Меня пригласили вхолодную через LinkedIn и email. Мы тоже запускали такие кампании для клиентов, но сами ужины не организовывали. Я согласилась, потому что мне было интересно изучить изнутри, как проходит такой формат - может быть, мы тоже будем проводить такое в комьюнити или для …

🔥5❤4👍3✍2👏1🆒1

Showing the 12 most recent of 32 posts we hold for @digitalb2b. 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

@digitalb2b 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
12 August 2026
Most recent edit
12 August 2026

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.

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.

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.

Максим Батырев
@Maxim_Batyrev · 20,705
Telegram ranks this channel #59 of 94 here — alongside 93 others — read 26 September 2026
Гений переговоров | Ольга Грищенко
@kotperegovor · 42,874
Telegram ranks this channel #79 of 96 here — alongside 95 others — read 28 August 2026

This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. 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 2 November 2026 — this entry's latest reading, not the date you are reading this.

“Social Selling в LinkedIn, ABM, B2B-маркетинг (ModumUp)” (@digitalb2b), 6,401 subscribers as measured 2 November 2026. Telegram Register, tgregister.com/channel/digitalb2b.

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.