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Channel

Аналитик в джунглях

@analyst_in_jungle

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

172subscribers

+0 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002157237624
TypeChannel
Username@analyst_in_jungle
DescriptionБлог мобильного маркетингового аналитика данных. На данный момент я работаю 3 года в различных GameDev компаниях. чат - @analysts_in_jungle вопросы/предложения - @Raufchick менторство - https://teletype.in/@raufchick/data-analyst-mentoring
CreatedBetween 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live15 August 2026
Measurements held2
On Telegramt.me/analyst_in_jungle

Growth

1727 Aug 2026, 14:13 — 172 subscribers8 Aug 2026, 14:45 — 172 subscribers7 Aug 2026, 14:138 Aug 2026, 14:45
2 measurements spanning 1 day. 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 171–173 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 14:45172no change
7 Aug 2026, 14:13172first reading

Engagement

20 posts held, back to 13 December 2024the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof 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 20 posts for this entry, the most recent from 13 September 2025. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Photos
53
Videos
1
Links
46

Lifetime counters from Telegram’s own channel header, read 8 August 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.

Reaction mix

168 reactions across 18 posts, in 12 distinct kinds. The most used accounts for 20.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍3520.8%
😁3219.0%
2716.1%
🔥2313.7%
💔1911.3%
❤‍🔥137.74%
🫡74.17%
🗿52.98%
😱31.79%
💯21.19%
🤩10.595%
🥰10.595%

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 18 of the 20 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 168reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 13 December 2024 to 13 September 2025, 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

13 Sept 2025, 08:29 UTC485 views9 reactionsread 8 August 2026
Photo

Дааааааа......... Да Да.............

😁9

22 Aug 2025, 10:40 UTC572 views9 reactionsread 8 August 2026
Photo

Photo, posted without a caption

🗿5💯21😁1

24 Jul 2025, 06:44 UTC569 views11 reactionsread 8 August 2026

──────────────── Аналитика продаж. Уровень 0. ──────────────── А теперь давайте поговорим о том, как эти компании на начальных этапах распределяют деньги. Возьмем какую-то компанию за пример и накидаем метрик продукта и компании. # Затраты 1. Наша компания имеет 100$ в месяц постоянных затрат. Это могут быть затраты на зарплаты сотрудников, сервисы для работы, аренда офиса, аренда оборудования, сервера и так далее.

👍83

23 Jul 2025, 09:09 UTC365 views3 reactionsread 8 August 2026

──────────────── Про заработок компаний ──────────────── Каждая компания так или иначе рождается из желания основателей заработать денег (или потратить, но с кайфом, но это уже другая история). Основатели могут зарабатывать деньги на компании двумя способами: 1. Дивидендный подход. Тут основатели делают первые вложения в компанию и затем уже ждут, пока компания начнет приносить денег больше, чем на нее тратиться. То

👍3

22 Jul 2025, 17:34 UTC285 views12 reactionsread 8 August 2026
Photo

А пока держите мем)

👍9🫡1😁1😱1

22 Jul 2025, 17:33 UTC267 views9 reactionsread 8 August 2026
Photo

Всем привет! Пару месяцев тут не выходили посты, но спешу вас успокоить

6🤩1🥰1🫡1

28 May 2025, 08:29 UTC443 views10 reactionsread 8 August 2026
Forwarded from @marketing_analysis

Как работать с разными моделями атрибуции — и не запутаться в цифрах (а заодно не сойти с ума) На одном проекте мы выгрузили данные по кампаниям в BigQuery и прогнали их сразу по нескольким моделям атрибуции. Результаты получились как в классическом меме: один и тот же бизнес, но по версии Last Click, First Click и Top Score. Last Click. Почти все продажи приписаны Google Ads — потому что именно он «дожал» пользова

🔥82

14 Apr 2025, 09:15 UTC538 views15 reactionsread 8 August 2026

Всем привет! Приглашаю вас прочитать статью про мой взгляд про систему развития специалиста: Развитие специалиста на треугольничках В рамках нее поговорим: 1) Что лучше: T-Shape или I-Shape? 2) Как растит максимальную сложность задач, которые вы можете на себя взять? 3) Как выглядит путь повышения сложности задач у типичного аналитика?

❤‍🔥13🔥2

4 Mar 2025, 21:55 UTC585 views5 reactionsread 8 August 2026
Photo

# HADI Основа нашего теста будет заключаться именно в HADI методе. HADI - Hypothesis Actions Data Insights Hypothesis - Гипотеза. Фраза строится как "Я думаю, что если я сделаю А, то получится В" Actions - Действия. В нашем случае разработка и внедрение этого в проект. Data + Insights - Данные и инсайты из данных. Я лично считаю, что если вы как аналитик собрали данные, и не извлекаете из них инсайты, то вы долбоеб,

👍31🔥1

Showing the 12 most recent of 20 posts we hold for @analyst_in_jungle. 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

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

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 8 August 2026 — this entry's latest reading, not the date you are reading this.

“Аналитик в джунглях” (@analyst_in_jungle), 172 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/analyst_in_jungle.

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.