Channel
@unifi_agency
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Declared links · Cite this entry
17subscribers
-1 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001717311045 |
|---|---|
| Type | Channel |
| Username | @unifi_agency |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 3 times, most recently 19 September 2026 |
| On Telegram | t.me/unifi_agency |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 31 Aug 2026, 21:54 | 17 | -1 |
| 11 Aug 2026, 19:01 | 18 | no change |
| 8 Aug 2026, 10:56 | 18 | first reading |
8 posts held, back to 18 March 2024 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of 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 8 posts for this entry, the most recent from 2 November 2024. An engagement rate over an empty window would be a number about nothing.
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.
46 reactions across 8 posts, in 6 distinct kinds. The most used accounts for 47.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 22 | 47.8% | |
| 👍 | 10 | 21.7% | |
| ❤ | 9 | 19.6% | |
| 👏 | 3 | 6.52% | |
| ❤🔥 | 1 | 2.17% | |
| 🙏 | 1 | 2.17% |
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 8 of the 8 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 46 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 18 March 2024 to 2 November 2024, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Почему крупные компании выбирают SML исследования? Многие крупные компании, такие как Сбер, Газпромнефть, PepsiCo, L'Oreal, Sanofi, Райффайзен Банк, X5 Group, Tele2, Lamoda, Nestle, Philip Morris, другими словами наши клиенты, понимают ценность неопросных методов исследований (или пассивных методов сбора данных), потому что они позволяют получать объективные, детализированные и релевантные данные, которые часто слож…
👍3
Бизнес инсайд #1. О субъективных и объективных данных при принятии стратегических управленческих решений. Работал сегодня с довольно заметным Web3 клиентом, входит в top50 на CoinMarketCap (продукт в области Decentralized Physical Infrastructure Networks) и в процессе обратил внимание на регулярно повторяющуюся ошибку как в нарративе описания проблемы, так и в постановке задачи эдвайзору. Клиенты зачастую пытаются …
🔥3👍1👏1
#Подкаст с Николаем Епифановым и Маргаритой Стаф #1 от 22.10.24 https://t.me/networks_news https://t.me/unifi_agency 00:00 Формат подкастов на канале 2:36 Прошедшее выступление на Research Expo 6:20 Пример фреймворка Jobs to be Done 8:43 О нашем будущем выступлении на Demis Performance Conf 2024 11:04 Про кейс анализа соц. медиа в исследовании коммуникационной стратегии 13:34 Николай кратко рассказывает о себе 14:40…
👍2🔥2🙏1
Всем привет! Мы активно работаем и не забрасываем делиться нашим опытом решения интересных клиентских кейсов. Поэтому сегодня в 20:00 на тг канале нашего близкого партнера Net.Works @networks_news Николай Епифанов и Маргарита Стаф в прямом эфире обсудят клиентские кейсы и тренды в ресерч индустрии. Напомню, что Маргарита является поставщиком услуг Social Media Listening для таких компаний как Сбер, Ozon, Tele2, X5…
❤3
Всем привет! Делимся методологией разработки маркетинговой стратегии под относительно крупного клиента — регионального застройщика. Информация будет полезна как нашим дорогим лидам, так и другим агентствам\консультантам (мы любим наших конкурентов). Обращайтесь к нам за консультациями, если есть желание узнать больше по данной тематике на https://unifi.agency/
❤6👍2
Полная версия подкаста Николая Епифанова и эксперта в области маркетинга и искусственного интеллекта – Вадима Юмаева @directoreels Обсудили: - Как ИИ запустит любой бизнес в космос и как в этом космосе удержаться - Взгляды на регулирование ИИ государством, и на то, что нас ждёт в ближайшее время - Варианты будущего, которое уже не за горами - Как это интеграция ИИ в ряд областей отразится на нашем обществе
🔥8❤🔥1👍1
Аккурат после ИИ саммита записали подкаст с партнером Юнифай, инфлюенсером и ведущим экспертом в области маркетинга и искусственного интеллекта – Вадимом Юмаевым @directoreels На саммите Вадим проводил мастер-класс по сценариям использования ИИ в SMM. Подкаст решили записать спонтанно, по следам мероприятия и, можно сказать, что получился ламповый и немного кухонный формат. Полную версию длительностью 40 минут дро…
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Одно из направлений работ unifi.agency — это внедрение ИИ решений для корпоративных клиентов с целью повышения эффективности процессов и конкурентоспособности бизнеса. Внедряемые нами ИИ-решения применимы во всех основных видах деятельности внутри компаний — в HR, продажах, маркетинге, продуктовой разработке, менеджменте, а также в финансовом блоке. Сегодня мы отобрали 6 прикладных сценариев автоматизации HR процес…
🔥6
Showing the 8 most recent of 8 posts we hold for @unifi_agency. 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.
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.
One URL this entry has put in its own public description, shown exactly as written there. A declaration, not a verified association — we measured that the description contained this text, and nothing more. It is not a claim that this entry owns, runs or is connected to whatever the link resolves to; a description is text anyone controls, and anyone can put anyone else’s URL into it. How this is measured.
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 31 August 2026 — this entry's latest reading, not the date you are reading this.
“Юнифай” (@unifi_agency), 17 subscribers as measured 31 August 2026. Telegram Register, tgregister.com/channel/unifi_agency.
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.