Авторський канал про digital-маркетинг та комунікації в Україні. Вакансії в сфері digital.
👉 Умови та ціни розміщення реклами та вакансій https://bit.ly/3Zja7CM
Авторка/співпраця: @alenadenga
Created
29 February 2016 — measured — cross-checked against a third-party dataset (ext.tg_channel)
8 measurements spanning 7 days, net +10. 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 24,052–24,077 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 10:07
24,070
-2
11 Aug 2026, 07:32
24,072
+6
9 Aug 2026, 05:51
24,066
-8
8 Aug 2026, 03:56
24,074
+19
7 Aug 2026, 02:21
24,055
-4
6 Aug 2026, 02:31
24,059
-1
6 Aug 2026, 02:03
24,060
no change
5 Aug 2026, 19:35
24,060
first reading
Engagement
20 posts held, back to 30 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 17 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
11.4%
avg views ÷ 24,070 subscribers
Avg views / post
2,750
20 posts measured
Reaction rate
1.18%
reactions ÷ views · ER floor
Posts in window
20
of 20 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
Window
Rolling 30 days · latest post in window 12 August 2026
Posts held
20 (30 July 2026 – 12 August 2026)
Views total
54,950
Reactions total
646
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 22:42 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
≈1,360
Videos
≈127
Links
≈3,210
Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
25s
Average length
25s
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
634 reactions across 18 posts, in 7 distinct kinds. The most used accounts for 56.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
359
56.6%
😁
154
24.3%
👍
71
11.2%
🔥
21
3.31%
👏
14
2.21%
🤔
13
2.05%
😢
2
0.315%
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 20 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 646reactions 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 30 July 2026 to 12 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 20 we hold a reading for · 5%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @digital_masons. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 20 most recent posts we hold for this entry, published 30 July 2026 to 12 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Advertising
Ad load
40.0%
8 of 20 posts carry an ad marker
Regulatory tokens
0
none — marked by hashtag only
Median views · ads
2,750
over 8 measured posts
Median views · rest
2,950
over 12 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. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.
Measured over the 20 most recent posts we hold, published 30 July 2026 to 12 August 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.
Думаєш, де краще працювати: у tech-компаніях чи креативних агенціях? Headway Inc і Taktika створили подію «Мізки», яка допоможе розібратися.
Що на тебе чекає?
✨ Bingo of Truth: інтерактивна гра з 6 раундів, у якій спікери реагують на твердження у форматі «Було» чи «Не було» та діляться історіями зі свого досвіду.
✨ Q&A «Без табу»: запитання від аудиторії. Спікери реагують у форматі «Було» чи «Не було» та діляться іс…
📣 Нова пошта запустила омніканальну рекламну платформу Nova Media — платформу, яка об’єднує цифрові й офлайн-канали в єдину екосистему для бізнесу.
📌Ви зможете запускати рекламні кампанії через персонального менеджера та транслювати ваші пропозиції потенційним клієнтам там, де вони користуються сервісами Нової пошти:
- у мобільному застосунку
- на відеопанелях у відділеннях
- POS-матеріали у відділеннях
- брендуван…
🔨 guss & goose PR boutique agency шукає Middle Project PR Manager з підтвердженим досвідом від 2 років у PR та комунікаціях. Потрібно самостійно розробляти та реалізовувати PR-роадмапи та комплексно вибудовувати довіру і впізнаваність клієнтів в Україні і по світу. English B2 must. Детальніше — за посиланням.
#роботадлямасонів
Естетік розсилка від Шипелик
Коли всі комунікації та стратегії бренди синхронізовані 👌 Красиво візуально оформили і сторітелінгово.
Взяла тут.
Останні 2 екрани даю в коментарі, Телеграм не пропускає більше 10 фото в пості.
#кейс
Крута колаба від Ескулаб та SUE
До Дня медичного працівника лабораторія Ескулаб та український бренд доглядової косметики SUE випустили спільний лімітований набір кремів для рук вартістю 780 грн.
Що цікаво в цьому кейсі?
Не пішли шляхом класичного брендованого мерчу. Замість цього створили повноцінний продукт, який логічно поєднує позиціонування обох брендів: здоров'я та щоденний догляд.
Другий важливий елемент -…
🔹 У Google Maps можна буде замовити їжу та шукати готелі
А я ніжно нагадаю оффлайн бізнесам, що оптимізація вашої точки на Google Maps – це база. Досі дивуюсь як плюс-мінус норм бізнеси мають якусь криву сторінку, без контактів, посилань і навіть актуальних фото.
◾️Актуальні фото закладу/торгової точки/тощо.
◾️Для закладів посилання на актуальне меню – це просто база. Не фото меню, не фото страв, а актуальне меню в…
GUNIA поповнили сьогодні клуб тих, хто не взяв за правило перевіряти всіх інфлюєнсерів, блогерів та навіть відомих осіб на звʼязки з росією, висловлювання щодо війни etc. Просто. Банально в соцмережах, гуглі, нейронках. І ні, це не на вибір, перевірити треба скрізь.
Розумію, що з 33 літерами задовбешся чекати інстаграми, Джамалу і Ліну Костенко можна не перевіряти 👌
🔹Онлайн-покупки вже конкурують з магазинами біля дому
Платформа Хорошоп опублікувала масштабну аналітику ринку e-com. Головний інсайт – онлайн остаточно перестав бути місцем лише для «великих» чи рідкісних покупок типу техніки чи дорогих покупок. Українці все частіше купують онлайн рутинні товари: косметику, побутову хімію доя дому, корм для тварин та продукти.
📊 Ключові цифри та факти дослідження:
◾️ Краса та здор…
⚡️ Промпт — лише початок роботи з AI в маркетингу
AI може написати текст, але не потрапити в tone of voice. Зробити ресерч, але пропустити важливий контекст. Проаналізувати дані, але висновки все одно доведеться перевіряти вручну. У результаті правки займають стільки ж, скільки й робота з нуля.
Щоб AI справді економив час і допомагав маркетингу, ним потрібно вміти керувати — під конкретний бренд, аудиторію та задач…
Таблиці в Excel — це зручно, поки ви не починаєте масштабуватися. У новому кейсі розбираємо, як агенція AIR Brands відмовилась від ручного ведення клієнтів на користь NetHunt CRM.
Що з цього вийшло:
✔️ Вся історія взаємодії та документи на одній картці.
✔️ Об'єктивна аналітика замість суб'єктивних оцінок.
✔️ Жодного забутого фолоапу завдяки системі нагадувань.
📖 Читати кейс
#реклама
Купуйте книжки — підтримайте видавництва, які постраждали
Певно, ви вже читали новини про те, що країна-гній знищила склад із 8 мільйонами українських книжок у Харкові. Тому без зайвої лірики закликаю вас завітати до найближчої книгарні й купити паперову книжку або замовити електронну, щоб підтримати постраждалі видавництва.
Нижче даю кілька посилань на бізнесові, маркетингові та інші книжки від різних видавництв:
…
🔹 ШІ знає 96% брендів, але рекомендує лише 11%: а чого так?
ШІ-моделі безпомилково описують 96% брендів, якщо запитати про них напряму. Проте коли користувач ставить покупне запитання на кшталт «який сервіс/товар краще обрати?», 89% брендів взагалі не з'являються у відповідях.
І ось що виявили в дослідженні агенції Victorious:
◾️Власний сайт майже не впливає на рекомендації. 99,99% посилань, які ШІ наводить під ча…
❤27👍5
Showing the 12 most recent of 20 posts we hold for @digital_masons. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Posts edited after publishing
@digital_masons edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
8 August 2026
Most recent edit
8 August 2026
Citation-graph rank
Citation-graph rank — 220,348 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
Named by 5 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.
Named by
Channels on the register whose posts name this channel's handle.
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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“Digital masons” (@digital_masons), 24,070 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/digital_masons.
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.