3 measurements spanning 3 days, net -4. 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 3,219–3,225 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Aug 2026, 19:23
3,220
-4
7 Aug 2026, 12:50
3,224
no change
7 Aug 2026, 11:02
3,224
first reading
Engagement
17 posts held, back to 19 February 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 3 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
13.1%
avg views ÷ 3,220 subscribers
Avg views / post
421
2 posts measured
Reaction rate
1.62%
reactions ÷ views · ER floor
Posts in window
2
of 17 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. It is computed over the 1 of 2 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 31 July 2026
Posts held
17 (19 February 2026 – 31 July 2026)
Views total
842
Reactions total
9
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 23:41 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.
Reaction mix
240 reactions across 15 posts, in 3 distinct kinds. The most used accounts for 54.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
131
54.6%
👍
68
28.3%
❤
41
17.1%
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 15 of the 17 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 240reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 19 February 2026 to 31 July 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
7
across the posts below
Posts paid on
5
of 17 we hold a reading for · 29%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @avbids. 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 17 most recent posts we hold for this entry, published 19 February 2026 to 31 July 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.
Как быстро входить во все наши проекты
Друзья, теперь авторизация в наших сервисах стала проще.
В новом кабинете «Инструменты авитолога» можно привязать свой Телеграм и связать с ним кабинеты во всех наших проектах.
После этого для входа достаточно нажать кнопку «Войти через Инструменты авитолога» — больше не придётся каждый раз получать отдельную ссылку в Телеграм-боте.
Что нужно сделать:
1. Зарегистрироваться …
🔥 Готовим три новых инструмента для продвижения на Авито
Совсем скоро в avBids появятся:
— два новых биддера, которые помогут закрыть ещё больше задач по продвижению объявлений;
— расширенная аналитика позиций в поисковом биддере.
Как проверить важную гипотезу: действительно ли объявлению всегда необходимо находиться в топе? Возможно, в некоторых случаях выгоднее занимать более низкую позицию, экономить бюджет и п…
Ручной биддер + локации
Друзья, мы в тестовом режиме выгрузили новую возможность для ручного биддера — теперь можно устанавливать ставки по локациям.
Функция работает совместно с сервисом grayApi (https://t.me/grayApi). Для использования необходимо иметь подключённый аккаунт в их сервисе и указать токен на странице «Безопасность» в avBids.
В ближайшее время мы также интегрируем возможность продвижения по локациям …
Друзья, по вашим просьбам добавили авторизацию по логину и паролю в кабинет.
Задать пароль можно в кабинете во вкладке «Безопасность».
Ссылка на форму входа https://avbids.ru/login
Новый удобный анализ поисковой выдачи за 5 часов!
Мы полностью переработали интерфейс модального окна «Выдача поиска за 5 часов».
Анализировать позиции ваших объявлений и следить за конкурентами на Авито стало намного проще и быстрее.
Что изменилось:
📂 Разделение на удобные вкладки:
1️⃣ Выдача поиска — детальный снимок выдачи на выбранный момент времени.
• Удобная навигация: добавили выпадающий список для быстро…
ROI ставок и позиций + Умные рекомендации!
Мы добавили мощный инструмент аналитики, который поможет вам не просто занимать высокие позиции в выдаче, а тратить рекламный бюджет максимально эффективно.
📊 Что нового?
Анализ ROI ставок и позиций
Теперь вы можете точно видеть, на каких позициях ваши объявления получают больше всего контактов (лидов) и по какой стоимости.
• Кастомный интерактивный график сопоставляет ко…
🔧 Биддер по поиску стал умнее: запускаем «Умное окно»
Раньше биддер работал прямолинейно: поднять ставку на 10 ₽, опустить на 5 ₽.
И в этом была боль.
Понизили слишком резко - вылетели из нужных позиций.
Повысили с запасом - переплатили там, где хватило бы пары рублей.
Теперь появился новый режим подбора ставки - «Умное окно».
Он не просто повышает и понижает ставку по фиксированным шагам. Он находит минимальну…
Друзья, у нас отличная новость для постоянных пользователей!
С сегодняшнего дня мы запускаем накопительную скидку на наш сервис.
Теперь за каждый месяц непрерывного использования сервиса вы будете получать +5% скидки на продление тарифа.
Максимальная накопительная скидка — 15%.
Как это работает:
— 1 месяц пользования сервисом — скидка 5%
— 2 месяца — скидка 10%
— 3 месяца и далее — скидка 15%
Первый месяц для н…
В тестовом режиме запустили авто-подбор объявлений из указанного списка Ид объявлений для продвижения.
Раз в сутки функция отбирает из вашего списка до 20 лучших объявлений по выбранной метрике и автоматически заменяет состав объявлений в задаче.
Объявления, выпавшие из Top-N, снимаются с продвижения в задаче и удаляются из её списка. Новые добавляются в продвижение.
Документация по ссылке https://avbids.avteam-do…
Добавили настройки поведения при достижении дневного лимита трат у объявлений.
Теперь можно не только отключать продвижение, но и устанавливать минимальную ставку.
Новые настройки регулирования ставки
Друзья мы добавили две новые настройки, которые позволят регулировать ставку еще более точно.
1 - При первой позиции 51+ (не на первой странице) не повышаем ставку сразу — делаем паузу. Объявление может вернуться на первую страницу само. Если после паузы позиция остаётся 51+, начинаем повышать ставку согласно настройкам.
2 - Не конкурировать со своими объявлениями - робот счита…
Друзья, мы создали резервный канал в Максе, чтобы всегда оставаться с вами на связи. Он будет единым - туда мы будем дублировать (репостить) посты из наших Telegram-каналов по проектам.
Подписывайтесь, даже если планируете и дальше читать нас в Telegram!
👉 Подписаться в Максе
Showing the 12 most recent of 17 posts we hold for @avbids. 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.
Citation-graph rank
Citation-graph rank — 614,180 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 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.
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 August 2026 — this
entry's latest reading, not the date you are reading this.
“avBids - Биддер ставок на Авито” (@avbids), 3,220 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/avbids.
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.
