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Channel

ОнлиФармс | фарммаркетинг

@onlifarms

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

374subscribers

+0 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001657686320
TypeChannel
Username@onlifarms
DescriptionДобро пожаловать! Тут вас ждут мысли Екатерины Татарченко, ныне руководителя отдела омниканального продвижения в digital агентстве Ушла из практической медицины в фармацевтический маркетинг 💊 Показываю, как продвигать бренды, чтобы попасть врачу в 🤍
CreatedBetween 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held2
On Telegramt.me/onlifarms

Growth

3746 Aug 2026, 14:47 — 374 subscribers6 Aug 2026, 20:33 — 374 subscribers6 Aug 2026, 14:476 Aug 2026, 20:33
2 measurements taken within a single 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 373–375 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
6 Aug 2026, 20:33374no change
6 Aug 2026, 14:47374first reading

Engagement

18 posts held, back to 8 June 2026the 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.

ERR · 30 days
187.1%
avg views ÷ 374 subscribers
Avg views / post
700
6 posts measured
Reaction rate
1.86%
reactions ÷ views · ER floor
Posts in window
6
of 18 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 6 August 2026
Posts held18 (8 June 20266 August 2026)
Views total4,198
Reactions total78
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 20:33 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
116
Videos
2
Links
17

Lifetime counters from Telegram’s own channel header, read 6 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

245 reactions across 18 posts, in 16 distinct kinds. The most used accounts for 31.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
7631.0%
🔥4317.6%
💯3514.3%
😁208.16%
👍197.76%
🤣176.94%
❤‍🔥156.12%
🤝62.45%
🥰52.04%
🏆20.816%
🕊20.816%
🆒10.408%
👌10.408%
👎10.408%
😍10.408%
🤔10.408%

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 18 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 245reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 8 June 2026 to 6 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

6 Aug 2026, 05:25 UTC97 views8 reactionsread 6 August 2026
Forwarded from @pharmanalyticaFile

Итоги 1 полугодия 2026 года от DSM Group Формат: презентация #dsmgroup Источник: @dsmgroup_news Делитесь с коллегами и подписывайтесь 😍Telegram | Max |Дзен |VK

🔥42👍2

29 Jul 2026, 05:55 UTC284 views24 reactionsread 6 August 2026
Photo

Мы или не мы, коллеги? 💯 - мы 🕊️ - не мы

💯20👍2👎1🕊1

24 Jul 2026, 05:50 UTC≈2,570 views12 reactionsread 6 August 2026

По данным Veeva, почти 80% утвержденных маркетинговых материалов практически никогда не используются полевыми командами, а контент применяется менее чем в половине встреч с врачами При этом именно релевантный контент способен более чем вдвое повысить внедрение новых схем лечения. Парадокс: фарма ежегодно инвестирует миллионы в создание материалов, но проблема рынка уже не производство контента. Проблема - дефицит вн

6🔥5😍1

21 Jul 2026, 07:05 UTC376 views16 reactionsread 6 August 2026
Photo

Всех с вторником!

7😁4🔥2🥰2🤔1

17 Jul 2026, 12:56 UTC477 views7 reactionsread 6 August 2026

Что мешает фармкомпаниям внедрять искусственный интеллект? Найдено на просторах фармацевтического вестника. Из публикации: “Опубликованы результаты первого этапа исследования цифровой зрелости фармотрасли по результатам I полугодия 2026 года. Его авторы попытались выяснить реальный уровень проникновения ИИ-технологий и выявить основные барьеры, с которыми сталкиваются компании. В опросе, проведенном аналитическим

3👍2🔥2

15 Jul 2026, 12:20 UTC394 views11 reactionsread 6 August 2026
Photo

По мотивам https://kafedra-agency.ru/#/

🔥6🥰32

13 Jul 2026, 05:55 UTC393 views15 reactionsread 6 August 2026

Фарма продолжает покупать показы. Хотя давно пора покупать внимание Или сколько стоит 1 минута врача? Представим, вы инвестировали 10 млн р. в digital кампанию Результат: - 25 000 врачей в охвате - среднее время взаимодействия 45 секунд - вовлеченность 35% Итого всего 6 563 минуты качественного внимания. Стоимость одной минуты 1 524 р. Выходит жирновато, не правда ли? Теперь меняем только один параметр - увеличи

💯11❤‍🔥2👍2

8 Jul 2026, 07:25 UTC421 views12 reactionsread 6 August 2026
Video

Ну это база. Спасибо @AnastasiaDovgal за актуальный контент с утра пораньше 🤣

7🤣5

2 Jul 2026, 10:23 UTC462 views13 reactionsread 6 August 2026

Не так давно был пост про хит парад фарм провалов, где был в т.ч. ингаляционный инсулин А тут недавно такие новости, плюс таргет промо планируется еще и на педиатрический сегмент Хороший разбор, внизу по ссылке есть еще вторая часть поста

❤‍🔥85

2 Jul 2026, 10:20 UTC413 views6 reactionsread 6 August 2026
Forwarded from @pharma_fmPhoto

Редакция Фарма.ФМ обратила внимание на новость, которую многие незаслуженно обошли стороной. FDA расширило показания для ингалируемого инсулина ультракороткого действия Afrezza от компании MannKind, официально разрешив его применение подросткам и детям с 6 лет. Это первая за 12 лет серьезная попытка реанимировать коммерчески провальный актив, который гиганты фармы уже успели переварить и выплюнуть. Глубоко вдохнув, м

3❤‍🔥3

26 Jun 2026, 14:27 UTC381 views20 reactionsread 6 August 2026
Photo

С пятницей, работяги! Всех, кто идет в отпуск - поздравляю, всем, кто возвращается - сочувствую…

8🤣5😁4👍3

23 Jun 2026, 16:10 UTC≈3,380 views16 reactionsread 6 August 2026

Что о вашем бренде думает нейросеть? Ниша geo растет быстро, фарма не исключение. Еще в конце того года, на моем прошлом месте работы, на одном из клиентских проектов мы судорожно начали транскрибировать видео, переносить все и вся на сайт, чтобы был выше шанс попасть в нейропоиск Естественно, все не так просто с geo. Но это забавный момент для изучения, что же уже сейчас ии выдает при запросах? Забила несколько те

6🔥6❤‍🔥2👌1🕊1

Showing the 12 most recent of 18 posts we hold for @onlifarms. 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 — 661,783 of 1,169,250entries 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

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

“ОнлиФармс | фарммаркетинг” (@onlifarms), 374 subscribers as measured 6 August 2026. Telegram Register, tgregister.com/channel/onlifarms.

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.