Подпишитесь на блог нищего арбитражника: @ARBI_TRAFFIC

Channel
Mr. Traffer | Арбитраж трафика
@traffer_blog
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry
10,258subscribers
-15 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001878064910 |
|---|---|
| Type | Channel |
| Username | @traffer_blog |
| Description | Блог Трафера. Рад вас приветствовать в моём блоге, тут мы обсуждаем УБТ и арбитраж трафика. Сайт: http://cpalenta.ru Чат: @cpa_podslushano Вакансии: @hr_affiliate Связь: @teftelkaaa Каналы и чаты о трафике: https://t.me/addlist/EfbBB4gPLtdhZGU6 |
| Created | Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 12 November 2026 |
| Measurements held | 59 |
| Confirmed unchanged | 1 time, most recently 12 November 2026 |
| On Telegram | t.me/traffer_blog |
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 11 September 2026 and assigned it the closest of 31 fixed categories, at 68% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Nov 2026, 03:07 | 10,258 | +140 |
| 10 Nov 2026, 03:08 | 10,118 | -6 |
| 8 Nov 2026, 20:48 | 10,124 | +3 |
| 7 Nov 2026, 14:59 | 10,121 | +1 |
| 6 Nov 2026, 11:15 | 10,120 | -7 |
| 5 Nov 2026, 08:30 | 10,127 | -9 |
| 4 Nov 2026, 04:30 | 10,136 | +3 |
| 3 Nov 2026, 02:19 | 10,133 | +6 |
| 2 Nov 2026, 00:06 | 10,127 | -5 |
| 1 Nov 2026, 00:00 | 10,132 | +5 |
| 30 Oct 2026, 21:39 | 10,127 | +2 |
| 29 Oct 2026, 23:16 | 10,125 | +29 |
| 27 Oct 2026, 03:04 | 10,096 | +1 |
| 25 Oct 2026, 02:58 | 10,095 | -2 |
| 24 Oct 2026, 01:40 | 10,097 | +5 |
| 23 Oct 2026, 01:48 | 10,092 | -5 |
| 22 Oct 2026, 01:27 | 10,097 | +7 |
| 20 Oct 2026, 19:17 | 10,090 | +3 |
| 19 Oct 2026, 16:50 | 10,087 | -6 |
| 17 Oct 2026, 15:41 | 10,093 | first reading |
Engagement
26 posts held, back to 12 March 2025 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 58 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.23%
- avg views ÷ 10,258 subscribers
- Avg views / post
- 331
- 3 posts measured
- Reaction rate
- 1.44%
- reactions ÷ views · ER floor
- Posts in window
- 3
- of 26 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 3 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 10 November 2026 |
|---|---|
| Posts held | 26 (12 March 2025 – 10 November 2026) |
| Views total | 994 |
| Reactions total | 5 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Nov 2026, 11:26 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
- 47
- Videos
- 7
- Links
- 20
Lifetime counters from Telegram’s own channel header, read 13 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.
- Video runtime
- 1m 17s
- Average length
- 39s
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
177 reactions across 23 posts, in 8 distinct kinds. The most used accounts for 50.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 90 | 50.8% | |
| ❤ | 33 | 18.6% | |
| 🔥 | 17 | 9.60% | |
| 👎 | 12 | 6.78% | |
| 👏 | 9 | 5.08% | |
| 🤯 | 8 | 4.52% | |
| 🤔 | 7 | 3.95% | |
| 🕊 | 1 | 0.565% |
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 23 of the 26 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 177 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 26 most recent posts we hold, published 12 March 2025 to 10 November 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: 0 of 3 posts held from the last 30 days (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).
⚪️Luma AI — генерация и полноценная переработка видео ㅤ Luma — платформа для создания и редактирования визуального контента. Здесь можно генерировать видео по тексту и изображениям, а также менять уже существующие сцены с помощью ИИ. ㅤ —> Что умеет: ㅤ • Генерирует видео по текстовым запросам. • Оживляет изображения и превращает их в ролики. • Изменяет и перерабатывает существующие видеосцены. • Меняет визуальный сти…
❤4👏1
Всё для создания креативов. Сервисы, нейросети для монтажа. Новые подходы и разбор связок. ➡️ Подписаться: @traff_creo
👀 Vidalgo — из идеи в видео Vidalgo превращает идеи, текст или исходные материалы в короткие ролики для TikTok, Reels и Shorts. ㅤ —> Что умеет: ㅤ • Генерирует короткие видео. • Добавляет субтитры. • Создает озвучку. • Автоматически монтирует ролики. • Подбирает визуальные материалы. • Экспортирует видео под разные платформы. ㅤ Сервис помогает быстрее выпускать короткий видеоконтент. ㅤ ⚪Попробовать: здесь
👍4
⚠️ Чтобы байеры внутри команды не скамили на тысячи $, подпишитесь на SCAM Ленту: @black_list_traffic Также не стесняйтесь присылать свои истории 🤝
🟣RiffKit — видео в 2 клика Тул генерит короткие видео для социальных сетей, рекламы и контент-маркетинга по промптам или готовым материалам. ㅤ —> Что умеет: ㅤ • Создает видео через ИИ. • Генерирует сценарии. • Добавляет озвучку и субтитры. • Подбирает визуальные материалы. • Монтирует ролики автоматически. • Экспортирует видео для Shorts, Reels и TikTok. ㅤ Сервис ускоряет производство видеоконтента и избавляет от бо…
❤5
👀 Replit — веб-апп в 2 клика Replit объединяет написание кода, запуск и публикацию проектов в одном сервисе. ㅤ ИИ помогает создавать приложения даже без глубоких знаний программирования. ㅤ —> Что умеет: ㅤ • Пишет код. • Создает веб-приложения. • Исправляет ошибки. • Запускает проекты. • Работает в браузере. • Публикует приложения. ㅤ Тул ускоряет разработку внутренних сервисов, лендингов и MVP. ㅤ Подойдет разработчик…
👍4🤯1
👀 AniJam — создание анимаций в 2 клика Тул превращает текст, изображения, сценарии и аудио в готовые анимационные ролики. ㅤ —> Что умеет: ㅤ • Создает анимацию по тексту. • Превращает сценарии в сцены. • Оживляет изображения. • Анимирует персонажей. • Синхронизирует губы с голосом. • Генерирует озвучку на разных языках. ㅤ Сервис ускоряет создание мультфильмов, объясняющих роликов и контента для соцсетей. ㅤ ⚪Попробова…
🔥4
👀 Onlypult — управление соцсетями и публикациями Onlypult помогает планировать контент и работать с несколькими социальными сетями из одного кабинета. —> Что умеет: • Публикует посты по расписанию. • Поддерживает Telegram и TikTok. • Управляет несколькими аккаунтами. • Анализирует статистику. • Позволяет работать в команде. Сервис удобен для агентств и проектов с большим количеством контента. ⚪Попробовать: здесь
👍4👎1
⚪️Arvin Chat — генерация логотипов и дизайна Arvin Chat — сервис создает логотипы, визуалы и базовый фирменный стиль в считанные минуты. —> Что умеет: • Генерирует логотипы. • Создаёт визуалы для бренда. • Делает подписи, баннеры и графику. • Подходит для быстрого старта. Сервис объединяет генерацию текста и дизайна в одном месте. Можно быстро собрать базовый визуал бренда без навыков дизайна. ⚪Попробовать: зде…
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🗂 IconScout — графика и инструменты в одной системе IconScout — библиотека иконок и визуала. Дополнительно есть ИИ-инструменты для генерации графики. —> Что умеет: • Генерирует иконки. • Создаёт иллюстрации и 3D. • Переводит изображения в вектор. • Упрощает работу с визуалом. Можно быстро собрать все визуальные элементы под проект в одном месте. ⚪Попробовать: здесь
👍4👎1
⚙️ Resetter — восстановление программ в один клик Если тул на Mac начал глючить или зависать — можно быстро вернуть его к заводским настройкам. Resetter очищает кэш и сбрасывает параметры программ без переустановки. —> Что умеет: • Сбрасывает настройки приложений до системных. • Очищает переполненный кэш программ. • Помогает исправить ошибки без переустановки софта. • Работает в один клик без сложных настроек. • …
👍5👏2👎1
Showing the 12 most recent of 26 posts we hold for @traffer_blog. 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 recorded as deleted after publishing
We recorded 1 post on @traffer_blog as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
- First seen missing
- 3 November 2026
- Most recent seen missing
- 3 November 2026
- Median time before seen missing
- 3 months
- Seen missing in the last 30 days
- 1
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
Names
Channels on the register whose handles appear in this channel's posts.
@aff_job · 17,2381 postНИЩИЙ АРБИТРАЖНИК
@ARBI_TRAFFIC · 11,1971 postSCAM Лента | Чёрный список арбитража трафика
@black_list_traffic · 12,1771 postCPA HUNTER | Вакансии арбитража трафика
@hr_affiliate · 35,7451 postiGaming Hunter | Вакансии из Gambling, Betting и Crypto сферы
@igaming_hunter · 12,9501 postВакансии для медиабайеров | TRAFF BASE
@traff_base · 10,6121 postКРЕО Лента | Креативы для арбитража трафика
@traff_creo · 11,2751 postУБТ вакансии | База УБТшников
@ubt_base · 10,6821 postAFFILIATE WORK | Вакансии и работа в арбитраже трафика
@works_affiliate · 13,7141 postCPA WORK | Вакансии арбитража трафика
@works_cpa · 21,2201 post
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.
@works_cpa · 21,220
Telegram ranks this channel #32 of 79 here — alongside 78 others — read 26 September 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list 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 12 November 2026 — this entry's latest reading, not the date you are reading this.
“Mr. Traffer | Арбитраж трафика” (@traffer_blog), 10,258 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/traffer_blog.
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.