Telegram RegisterThe public register of Telegram
Telegram profile photo for Web2App: User Acquisition в iOS приложениях

Channel

Web2App: User Acquisition в iOS приложениях

@web2app_subscription

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Advertising · Posts · Citations · Handles named that no longer answer · Cite this entry

6,761subscribers

+936 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-1002195856807
TypeChannel
Username@web2app_subscription
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live4 November 2026
Measurements held24
Confirmed unchanged1 time, most recently 4 November 2026
On Telegramt.me/web2app_subscription

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 74% 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

5,8256,7616,2936 August 2026 — 5,825 subscribers6 August 2026 — 5,827 subscribers9 August 2026 — 5,848 subscribers12 August 2026 — 5,854 subscribers16 August 2026 — 5,861 subscribers19 August 2026 — 5,846 subscribers22 August 2026 — 5,843 subscribers25 August 2026 — 5,846 subscribers28 August 2026 — 5,873 subscribers4 September 2026 — 5,897 subscribers9 September 2026 — 5,933 subscribers13 September 2026 — 5,952 subscribers17 September 2026 — 5,992 subscribers25 September 2026 — 6,134 subscribers4 October 2026 — 6,329 subscribers10 October 2026 — 6,447 subscribers14 October 2026 — 6,508 subscribers17 October 2026 — 6,541 subscribers20 October 2026 — 6,559 subscribers23 October 2026 — 6,638 subscribers27 October 2026 — 6,696 subscribers29 October 2026 — 6,720 subscribers1 November 2026 — 6,733 subscribers4 November 2026 — 6,761 subscribers6 August 20264 November 2026
24 measurements spanning 90 days, net +936. 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 5,685–6,901 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)SubscribersChange
4 Nov 2026, 05:396,761+28
1 Nov 2026, 10:466,733+13
29 Oct 2026, 20:116,720+24
27 Oct 2026, 05:296,696+58
23 Oct 2026, 20:016,638+79
20 Oct 2026, 22:376,559+18
17 Oct 2026, 19:516,541+33
14 Oct 2026, 10:166,508+61
10 Oct 2026, 15:386,447+118
4 Oct 2026, 21:586,329+195
25 Sept 2026, 11:596,134+142
17 Sept 2026, 04:375,992+40
13 Sept 2026, 09:545,952+19
9 Sept 2026, 17:425,933+36
4 Sept 2026, 15:225,897+24
28 Aug 2026, 11:245,873+27
25 Aug 2026, 02:225,846+3
22 Aug 2026, 02:185,843-3
19 Aug 2026, 00:535,846-15
16 Aug 2026, 02:475,861first reading

Engagement

40 posts held, back to 7 May 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 10 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
34.7%
avg views ÷ 6,761 subscribers
Avg views / post
2,340
14 posts measured
Reaction rate
0.296%
reactions ÷ views · ER floor
Posts in window
14
of 40 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 3 November 2026
Posts held40 (7 May 2026 – 3 November 2026)
Views total32,816
Reactions total97
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Nov 2026, 16:50 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

Video runtime
13s
Average length
13s

Measured directly from 1 video 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

521 reactions across 38 posts, in 13 distinct kinds. The most used accounts for 36.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤19036.5%
👍14127.1%
🔥12323.6%
🤡264.99%
🤔142.69%
🤮61.15%
👌50.96%
😐50.96%
❤‍🔥40.768%
🤝40.768%
🌭10.192%
👎10.192%
😁10.192%

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 39 of the 40 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 521 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 40 most recent posts we hold, published 7 May 2026 to 3 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.

Advertising

Ad load
5.00%
2 of 40 posts carry an ad marker
Regulatory tokens
0
none — marked by hashtag only
Median views · ads
1,890
over 2 measured posts
Median views · rest
2,790
over 38 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.

Measured over the 40 most recent posts we hold, published 7 May 2026 to 3 November 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.

Recent posts

3 Nov 2026, 09:01 UTC906 views0 reactionsread 3 November 2026
Photo

🚀 Старт нового потока курса UA Manager 2026 Что нового на этом потоке: 1. Модуль: веб-воронки Подробности завтра. 2. Пожизненный доступ к каналу UA Кухня Внутренний канал для участников курса: • в закрытом канале выкладываю подробные разборы работы в UA, глубже, чем здесь; • на регулярных созвонах разбираем ваши проекты, кампании и вопросы. 3. Чат UA Кухня Чат, где можно задать вопрос и реально получить ответ. …

29 Oct 2026, 12:44 UTC≈1,890 views9 reactionsread 3 November 2026
AdvertisementPhoto

“Самая сложная и самая ценная задача недели” - так в Simple говорили о масштабировании рекламы в Meta на выходные. Поделюсь, как Plurio её автоматизировал: +29% покупок при ROAS выше таргета. 📱 О бизнесе Simple - приложение с AI-коучем по питанию и здоровым привычкам: больше 1 млн активных пользователей в месяц по всему миру, 5+ продуктов и несколько воронок привлечения. 🧩 В чём сложность Выходные - пик выручки Sim…

🤔5🔥3❤1

29 Oct 2026, 09:01 UTC≈1,660 views4 reactionsread 3 November 2026
Photo

A/B-тесты воронок Почти на любом новом проекте с воронками команды планируют АБ тесты. Понятно почему так происходит: многие сервисы предоставляют инфраструктуру для запуска и оценки АБ тестов. Стратегия работы с продуктом становится очень понятной: “смотри на конверсию между страницами, дожидайся стат значимых улучшений и плавно улучшай воронку” С опаской отношусь к такому подходу. Объясню почему. 🧪 Теория 1: выб…

❤4

27 Oct 2026, 09:02 UTC≈2,030 views5 reactionsread 3 November 2026
Photo

UAC в Google Ads для iOS 🔥 Firebase Главное преимущество Firebase: с ним доступны стратегии ставок tROAS и Maximum Value. В некоторых случаях - это единственный способ улучшить перформанс. Конверсии В рекламном кабинете Google Ads отображает моделируемые конверсии, а не настоящие. Не надо ждать что у вас будут сходиться конверсии в Apple и Google Ads. UAC кампания может перформить хорошо даже если конверсии не совп…

🔥4❤1

23 Oct 2026, 07:55 UTC≈2,700 views15 reactionsread 3 November 2026

Работа с вайб-кодерами К вайб-кодерским проектам в индустрии часто относятся со скепсисом, который я совершенно не разделяю. Консультирую проекты и вижу как в одной и той же нише один вайбкодер делает больше чем команда с реальным оффлайн офисом и венчурными деньгами. 👥 Команда Половина команд проекта, с которым мы сейчас работаем, - вайб-кодеры. Решения принимаются быстро, новые штуки запускаем тоже быстро. ⚡️ Вор…

👍9❤6

22 Oct 2026, 09:01 UTC≈2,740 views6 reactionsread 3 November 2026
Photo

Моему второму каналу “Монтажка” почти месяц, и нас уже 400 человек. Мне это очень приятно. В “Монтажке” я пишу про креативы и внутреннюю кухню агентства: как мы генерим ролики и запускаем их в Meta. 🔥 Топ постов за месяц • Живой UGC-ролик с Dan UGC • Arcads - реалистичный UGC • Faceless вместо UGC 🙌 Подписывайтесь: @montazhka_ads

❤2🔥2🤔2

20 Oct 2026, 09:02 UTC≈2,500 views6 reactionsread 3 November 2026
Photo

Автослоты для тестов: автоматизация принятия решений Все кампани на проектах я делю на 2 категории: • тестовые запускаю новые адсеты на тестирование • scaling те адсеты которые “победили” - получают большой спенд. Новая тестовая кампания заводится без моего участия - ее заводит бот. В среднем она запускается через 12 часов после того, как монтажёры подготовили новые креативы. Как я решаю, когда останавливать тест…

👍5❤1

16 Oct 2026, 07:04 UTC≈2,790 views16 reactionsread 3 November 2026
Photo

Попросил Claude Code написать 5 постов Открыл Claude, скормил ему 15 моих прошлых постов и попросил сгенерить 5 постов: 🧪 Что получилось 1. «Почему дубль кампании не повторяет её результат». Дубль стартует на остатках аудитории оригинала, поэтому CPA выше. 2. «Блендед CPI по WW-кампании врёт». Внутри средней цифры нет ни одного реального 3. «Пять цифр, которые я смотрю каждое утро». Спенд против плана, CPA против ме…

👍11❤4🤔1

15 Oct 2026, 09:03 UTC≈2,540 views9 reactionsread 3 November 2026
Photo

Веб-воронки после перегрева Краткий пересказ интервью с Антоном Кузьминым, CMO / AdQuantum. Я бы всё-таки советовал посмотреть видео целиком, хотя бы для того, чтобы насладиться виртуозным слогом Антона. 🔥Полное видео тут 1. Кому подходит веб-воронка Веб работает там, где продукт можно продать до того, как человек его увидел: • health & fitness • ментальное здоровье • психология • микролернинг • саммари нон-фикшн…

❤8👍1

13 Oct 2026, 09:00 UTC≈2,500 views4 reactionsread 3 November 2026
Photo

Вторая часть разговора с Деном. Первая тут. Очень люблю ходить к ребятам - задают острые вопросы которые интересно обсудить. • Баны в Мете: что делать, когда отваливаются аккаунты • Байинг как рыбалка: прибыль приходит рывками • Скейлинг без Campaign Optimization Budget • 80% времени байера уходит на креативы • Как клинеры льют в минус и продаются по MRR • Google и UAC: $10k на обучение и хаос с атрибуцией • Googl…

👍3❤1

8 Oct 2026, 09:35 UTC≈2,770 views7 reactionsread 3 November 2026
Photo

Health-воронка в Meta: запрет стандартных событий Если вы запускаете рекламу на health-приложение, META может прислать такое предупреждение. Она отнесла приложение к категории Health & wellness и запретила оптимизацию на стандартные события (purchase). 🛠 Что делать 1. Оптимизироваться на кастомные события. Те же события прокидываются в Meta как кастомные вместо стандартных, и адсет оптимизируется на них. 2. Завести …

❤5👍2

6 Oct 2026, 09:02 UTC≈2,710 views7 reactionsread 3 November 2026
Photo

Запуск приложения напрямую VS запуск на воронку Всё чаще на проектах мы запускаем трафик одновременно на приложение напрямую и на веб-воронку. В подкасте с Деном мы обсуждали, что поменялось с приходом AI, и это одно из изменений последнего года: с вайб-кодингом на готовых скиллах воронка собирается за пару дней. Ниже моё субъективное сравнение веб-воронок и запуска напрямую. 📡 1. Долетаемость событий О ней часто г…

👍6❤1

Showing the 12 most recent of 40 posts we hold for @web2app_subscription. 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.

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 7 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.

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 4 November 2026 — this entry's latest reading, not the date you are reading this.

“Web2App: User Acquisition в iOS приложениях” (@web2app_subscription), 6,761 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/web2app_subscription.

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.