Кейс «Флаувау» и 2LEADS: как привлечь новых покупателей в мобильное приложение в несезон Задачи 🟦Найти источник in-app-трафика. 🟦Добиться того, чтобы реклама оставалась прибыльной даже при повышении стоимости привлечения. Результаты 🟦Получили около 3,9 тыс. первых покупок в приложении за 6 месяцев в in-app-площадках. 🟦Повысили конверсию из установки в покупку. 🟦63%-ю долю покупок принес Unity ads с ROAS оптимизац…

Channel
Рекламные кейсы / AdIndex
@cases_adindex
On this record: Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
5,398subscribers
+7 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001670717132 |
|---|---|
| Type | Channel |
| Username | @cases_adindex |
| Created | 7 June 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 7 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/cases_adindex |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 15:36 | 5,398 | +7 |
| 7 Aug 2026, 07:00 | 5,391 | no change |
| 7 Aug 2026, 06:57 | 5,391 | first reading |
Engagement
11 posts held, back to 24 July 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 8 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 7.31%
- avg views ÷ 5,398 subscribers
- Avg views / post
- 395
- 11 posts measured
- Reaction rate
- 0.406%
- reactions ÷ views · ER floor
- Posts in window
- 11
- of 11 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 7 of 11 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 11 August 2026 |
|---|---|
| Posts held | 11 (24 July 2026 – 11 August 2026) |
| Views total | 4,340 |
| Reactions total | 13 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 04:20 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
13 reactions across 6 posts, in 2 distinct kinds. The most used accounts for 61.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 8 | 61.5% | |
| 🔥 | 5 | 38.5% |
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 7 of the 11 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 13reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 11 most recent posts we hold, published 24 July 2026 to 11 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.
Recent posts
Кейс Drivee и Think Agency (агентство «Думай»): как новый сценарий контакта с аудиторией помог увеличить поездки в регионах Задачи 🤩Привлечь дополнительных пользователей в приложение. 🤩Увеличить количество поездок в целевых регионах. 🤩Удержать стоимость целевого действия (CPA) в рамках плановых показателей. Результаты 🤩Коэффициент конверсии по целевому событию оказался на 4 п.п. выше. 🤩Канал достиг коэффициента э…
❤2🔥2
Кейс «Эвереста»: как с помощью интерактивного квиз-марафона продвигать телеканалы Задачи 🔴Поздравить представителей рекламной индустрии со Всемирным днем поцелуя. 🔴Запустить пиар-кампанию телеканалов в летний период. Результаты 🔴Всего в спецпроекте приняли участие 510 человек. 🔴Активное участие в викторине приняли 78% подписчиков. 🔴Максимальный процент просмотров от всех пользователей составил 153%. Подробнее о …
Кейс «Авито Рекламы» и ГК «Нордик» и eLama: как снизить стоимость привлечения потенциальных клиентов на 35% в несезон Задачи 🔴Протестировать платформу как источник целевых лидов (потенциальных клиентов). 🔴Снизить стоимость целевого лида. 🔴Привлечь аудиторию, готовую к покупке в ближайшие три месяца. Результаты 🔴Количество первичных лидов выросло с 36 в декабре до 89. 🔴Кампания набрала более 5,5 млн показов. 🔴Про…
Кейс «Совкомбанка»: как увеличить внимание к бренду работодателя Задачи 🔴Создать спецпроект, чтобы рассказать широкой аудитории о Совкомбанке как о работодателе. 🔴Повысить интерес к бренду. Результаты 🔴План по показам был перевыполнен на 459%. 🔴Трафик увеличился на 174%, а коэффициент конверсии на 118%. 🔴Переходов на карьерный сайт стало больше на 248%. ➡️О том, как использовать территорию конкурента, чтобы попа…
🤩Продолжаем знакомить с членами жюри третьего сезона «Проксимы»! На очереди — представители индустрий: 🔵Медиа / Контент / Развлечения 🔵Одежда / Обувь / Аксессуары 🔵Продукты питания и напитки 🔵Телеком / Интернет / Связь 🔵IT / ПО / Цифровые сервисы 🔵Финансы / Страхование / Финтех ➡️ Подписывайтесь на телеграм-канал премии «Проксима», чтобы не пропускать главное
Кейс «Пятерочки»: как найти подход к подростковой аудитории Задачи 🔴Изменить восприятие бренда среди подростков. 🔴Выстроить естественную коммуникацию. Результаты 🔴План по просмотрам перевыполнили более чем в 2 раза. 🔴Среди молодежной аудитории выросли показатели спонтанного знания рекламы. 🔴Фактический CPV (Cost Per View — цена за просмотр) составил 0,31 руб. ➡️О том, как использовать территорию конкурента, чтоб…
🔥2
Кейс агентства PR Klab и «Авито Промо»: как вдвое превысить план по заявкам и снизить стоимость контакта в 2,6 раза Задачи 🔴Удвоить число заявок в месяц. 🔴Снизить стоимость одного контакта относительно показателей в прошлых кампаниях. Результаты 🔴Число контактов выросло в 6 раз — с 131 до 776. 🔴Стоимость обращения снизилась с 271 до 104,7 руб. 🔴Конверсия из просмотра в контакт поднялась с 3,3 до 7,3%. ➡️О том, к…
❤2
Кейс Marketing Emotions и «Альфа-Инвестиций»: как почти в 2 раза перевыполнить план по приросту прибыли с помощью геймификации Задачи ⭐️Увеличить число активных инвесторов среди новых пользователей. ⭐️Реактивировать неактивных клиентов. ⭐️Повысить эффективность инвестиций в проект. Результаты ⭐️План по возврату инвестиций в проект перевыполнили более чем в 1,5 раза. ⭐️32% «спящих» клиентов вернулись к использован…
🔥1
Кейс Easy Media и «Прелести»: как семейная история стала основой кампании Задача ⚫️Выстроить коммуникацию с аудиторией заново. Результаты ⚫️Сумма заказов выросла более чем на 170% год к году. ⚫️Бренд вошел в число лидеров по объему заказов внутри категории «Лак для волос». О том, как использовать имя бренда в качестве основы стратегии, рассказали в кейсе 🥰 @adindex
❤3
⭐️ В новой подборке цитат — взгляд членов жюри «Проксимы» на потребительское поведение и важность искренности в коммуникации. В условиях информационной перенасыщенности ключевыми становятся последовательность и ценность контента, а также эмоциональная связь с аудиторией. ➡️В карточках собрали цитаты членов жюри третьего сезона о том, что важно учитывать при создании успешной рекламной кампании. 🤩 Подписывайтесь на …
❤1
Showing the 11 most recent of 11 posts we hold for @cases_adindex. 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.
Citation-graph rank
Citation-graph rank — 499,104 of 1,189,255entries 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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 1 registered channel — 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.
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.
@sbermarketing · 201,808
Telegram ranks this channel #41 of 96 here — alongside 95 others — read 13 August 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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“Рекламные кейсы / AdIndex” (@cases_adindex), 5,398 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/cases_adindex.
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.