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 18 September 2026 and assigned it the closest of 31 fixed categories, at 67% 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 why it has no browse page of its own yet.
Growth
14 measurements spanning 65 days, net -32. 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 1,180–1,222 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
11 Oct 2026, 13:01
1,185
-1
5 Oct 2026, 04:36
1,186
-6
26 Sept 2026, 21:55
1,192
-10
15 Sept 2026, 07:18
1,202
+3
11 Sept 2026, 19:00
1,199
-1
7 Sept 2026, 02:39
1,200
-1
30 Aug 2026, 11:25
1,201
-2
27 Aug 2026, 11:46
1,203
+2
24 Aug 2026, 12:26
1,201
-5
20 Aug 2026, 15:43
1,206
+1
14 Aug 2026, 10:16
1,205
-7
11 Aug 2026, 06:46
1,212
-4
8 Aug 2026, 07:43
1,216
-1
7 Aug 2026, 10:03
1,217
first reading
Engagement
13 posts held, back to 28 April 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 page of 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 13 posts for this entry, the most recent from 6 August 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
258 reactions across 12 posts, in 17 distinct kinds. The most used accounts for 25.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
66
25.6%
❤🔥
62
24.0%
❤
48
18.6%
⚡
29
11.2%
👍
12
4.65%
🤩
12
4.65%
👏
8
3.10%
🏆
4
1.55%
💔
4
1.55%
😍
3
1.16%
🙏
3
1.16%
🍌
2
0.775%
custom 5332622478361513245
1
0.388%
🍾
1
0.388%
👀
1
0.388%
😢
1
0.388%
🤯
1
0.388%
Custom emoji. One row above is a 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 count beside it is Telegram’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 12 of the 13 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 258 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 28 April 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.
Telegram Stars
Stars received
14
across the posts below
Posts paid on
8
of 13 we hold a reading for · 62%
Most on one post
5
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @jvochannel. 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 13 most recent posts we hold for this entry, published 28 April 2026 to 6 August 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.
Advertising
Ad load
7.69%
1 of 13 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
113
over 1 measured post
Median views · rest
426
over 12 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.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
CQH36pWzJqVHqLcdHuAQLbmRhmfn9KuPs5HcdoN7YVmhjZ
1
6 August 2026
6 August 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 13 most recent posts we hold, published 28 April 2026 to 6 August 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.
🚨 Карго больше не работает? Как не отдать всю прибыль маркетплейсу и налоговой в 2026
Фура застряла на границе, а деньги вложены в следующую партию? Знакомая ситуация. Мы разобрали полную юнит-экономику каждой товарной позиции и посчитали, когда мнимая экономия на серой доставке начинает убивать ваш бизнес из-за скрытых расходов и новых требований ФНС.
В новом видео показываем на реальных цифрах, где карго действит…
ДЖИВИО открывает партнёрское направление 🤝
Приглашаем к сотрудничеству интеграторов 1С и CRM, digital-агентства, фулфилменты, консультантов и другие компании, работающие с селлерами маркетплейсов.
Партнёры могут получать до 25% от платежей привлечённых клиентов, а продажи, демонстрацию продукта и онбординг берёт на себя наша команда.
Подробности — в видео.
👉 Оставить заявку
🔋0₽ за инструменты «Дживио» для WB
Мы открыли бесплатный доступ к двум инструментам, которые помогают не ждать компенсаций от Wildberries, а перестраивать логистику и пересчитывать экономику уже сейчас.
Подсортировщик за 0₽ по промокоду SKLAD
Что даёт подсортировщик:
• оперативное управление остатками по складам
• перераспределение товарных потоков под новые логистические ограничения
• минимизацию простоев и быстр…
WB Электросталь и Котовск: как проверить остатки и что делать дальше
Последние обновление в ЛК «Дживио» позволяет посмотреть остатки на любую дату — например, за день до происшествия.
В «Управлении матрицей» появилась выгрузка ретроспективных остатков, а для затронутых складов — отдельный пресет, чтобы не собирать данные вручную.
Это помогает быстро оценить ситуацию и принять решения по поставкам, рекламе и логист…
Вчера мы выступили на ECOM EXPO 2026 рассказали о том, как AI-агенты помогают e-commerce-командам расти без расширения штата.
Главный фокус — операционный потолок маркетплейсов: сотни SKU, цены, реклама, остатки, отзывы и маржинальность требуют ежедневных решений, которые вручную уже не масштабируются.
Со-основатель ДЖИВИО Максим Логинов показал, как агенты берут на себя анализ, коммуникации, ценообразование и рабо…
26 июня в 11:00 мск встречаемся на вебинаре
«ИИ для маркетплейсов и автоматизация в 1С: как управлять тысячами SKU на WB и Ozon без потери маржи и контроля».
Разберем, как держать под контролем остатки, цены, поставки, рекламу и отзывы, когда товаров и площадок становится все больше.
Покажем, как AI-агенты помогают находить точки роста, снижать операционные потери и быстрее принимать решения.
Если вы развиваете п…
Сделали так, чтобы собирать сценарии для Агентов стало ещё проще 🔥
В интерфейс добавили блок «Как создать хороший сценарий».
Готовые гайды по каждому Агенту:
🟣Управление ценами: как строить сценарии на основе маржи, оборачиваемости, остатков. Как работать с новинками, неликвидом и акциями.
🟣Управление рекламой: как задать контроль ДРР и CPO, настроить автотест ставок, управлять кластерами и бюджетом.
🟣Ответы на о…
🔥 Реклама должна приносить заказы, а не еще 2–3 часа ручной работы каждый день.
Пока вы следите за ставками, проверяете ДРР, ловите перерасход и вручную останавливаете то, что уже не работает, реклама съедает время команды почти так же быстро, как поглащает бюджет.
Поэтому мы запустили Агент рекламы.
Теперь он сам управляет рекламными кампаниями на Wildberries и Ozon: не просто двигает ставки, а работает с рекламо…
🔥 Официальные каналы продуктовых обновлений Дживио
Мы запустили отдельные каналы Дживио для продуктовых релизов: в Telegram и Max.
В этих каналах будем рассказывать про новые фичи, изменения в логике агентов, другие обновления в продукте, которые напрямую влияют на вашу выручку на маркетплейсах.
Уже опубликовали первый пост и начали с большого дайджеста за полгода! Откройте и проверьте, что из этого вы уже использ…
Конец «эпохи иксов»: цифры и факты рынка e-com на 2026-й
Наши коллеги из «Оборот.ру» (те самые, что делают ECOM Expo) поделились свежей аналитикой по рынку на ближайший год.
Ребята прогнали через себя массивы данных от Data Insight , «Яков и Партнёры» и других агентств. Мы пробежались по тезисам — местами жестко, но вправляет фокус:
➡️ Гиперрост официально всё. Количество заказов в 2025 году выросло на 24% — это р…
🔥 1 375 артикулов, полный рабочий день рутинных задач...
и как это закончилось за 30 дней
«Бейби Тренд» пришли к нам с понятной болью: FMCG-матрица товаров (бытовая химия, гигиена), более 1000 артикулов, до 20 конкурентов на позицию. Ценообразование держится на ручном контроле.
В каждой категории своя логика: разная маржа, оборачиваемость, остатки. Просто следить за конкурентами и двигать цену вниз — не вариант, а …
⚡8❤5❤🔥5🤩3
Showing the 12 most recent of 13 posts we hold for @jvochannel. 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.
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 11 October 2026 — this
entry's latest reading, not the date you are reading this.
“ДЖИВИО: голос e-com” (@jvochannel), 1,185 subscribers as measured 11 October 2026. Telegram Register, tgregister.com/channel/jvochannel.
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.