Я — Светлана, дизайнер инфографики с опытом работы. Создаю карточки товара, rich-контент и видеообложки для маркетплейсов. Вы получаете: - Продающие карточки; - Чёткое выделение преимуществ товара - Анализ ниши и конкурентов - Работа по ТЗ или без него Соблюдаю сроки. Несколько главных слайдов на выбор. Использую нейросети. 💫Быстро, качественно, не дорого. Портфолио: 👉https://t.me/svetla_designer Связь со мною …

Channel
Инфографика | Продвижение | Маркетплейсы
@MPdesigns
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
30,667subscribers
-31 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001638689480 |
|---|---|
| Type | Channel |
| Username | @MPdesigns |
| Description | 🔥 Заказы по инфографике и продвижению, а так же резюме от опытных специалистов. • Купить рекламу: https://t.me/+iVfQ8Iyk8Kg0ZTE6 • Бот с вакансиями - @LeadMagnet_MP_bot • Разместить резюме - @MPdesigns_bot • Админ - @Art_666999 |
| Created | Between 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/MPdesigns |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 19:46 | 30,667 | -11 |
| 11 Aug 2026, 22:15 | 30,678 | +25 |
| 11 Aug 2026, 00:47 | 30,653 | +20 |
| 9 Aug 2026, 23:32 | 30,633 | -20 |
| 9 Aug 2026, 02:01 | 30,653 | -16 |
| 8 Aug 2026, 02:44 | 30,669 | -29 |
| 7 Aug 2026, 07:18 | 30,698 | first reading |
Engagement
56 posts held, back to 2 August 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 18 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.78%
- avg views ÷ 30,667 subscribers
- Avg views / post
- 545
- 50 posts measured
- Reaction rate
- 0.223%
- reactions ÷ views · ER floor
- Posts in window
- 56
- of 56 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 17 of 50 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 56 (2 August 2026 – 12 August 2026) |
| Views total | 27,241 |
| Reactions total | 22 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 21:31 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
- ≈9,530
- Videos
- ≈2
- Links
- ≈6,570
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.
Reaction mix
22 reactions across 13 posts, in 5 distinct kinds. The most used accounts for 63.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 14 | 63.6% | |
| 🔥 | 4 | 18.2% | |
| 👍 | 2 | 9.09% | |
| ❤🔥 | 1 | 4.55% | |
| 👎 | 1 | 4.55% |
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 17 of the 56 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 22reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 56 most recent posts we hold, published 2 August 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.
Recent posts
Инфографика | Продвижение | Маркетплейсы pinned a photo
Здравствуйте! Меня зовут Анастасия, я - дизайнер инфографики с опытом работы 3,5 года ❤️ С удовольствием помогу создать продающий дизайн! ОЧЕНЬ ПРИВЛЕКАТЕЛЬНАЯ ЦЕНА 🩷 Больше работ на моем канале @alekseevna_design39
Меня зовут Ратмир, я занимаюсь инфографикой для маркетплейсов. На фото представлена примерная работа. Я делаю работы качественно и могу вносить правки По всем вопросам обращаться сюда - @xl1xlm
ИНФОГРАФИКА ДЛЯ WB • OZON • МАРКЕТПЛЕЙСОВ 📊 Создаю продающие карточки товаров: ✅ Обложки с акцентом на CTR ✅ Анализ конкурентов ✅ Оригинальный дизайн ✅ Photoshop + нейросети ✅ Видеообложки и ВИДЕОРОЛИКИ 🎬 ✅ Работа по ТЗ и без ТЗ 💰 Обложка — 600₽ 💰 Слайд — 500₽ СКИДКА 10% НА ПЕРВЫЙ ЗАКАЗ! 📂 Портфолио: @vorobyova_infodesign 📩 Заказ: @natana_vorobyovaa
🎨 Дизайнер карточек для маркетплейсов | Wildberries | Ozon | Яндекс.Маркет Здравствуйте! Меня зовут Даша, я — графический дизайнер и дипломированный специалист. Окончила колледж по направлению «Графический дизайн» и уже более 2 лет профессионально создаю дизайн карточек для маркетплейсов. 💼 Услуги: ✅ Создание карточек товаров для Wildberries, Ozon, Яндекс.Маркета ✅ Разработка инфографики, баннеров, обложек, иконок ✅…
👍1
Всем доброго времени суток!☀️ Меня зовут Малика, и я начинающий дизайнер инфографики. Создаю яркие и информативные карточки для товаров на Wildberries и Ozon, которые помогают выгодно показать продукт и привлечь внимание покупателей 🛍️ В работе я уделяю внимание не только красивому дизайну, но и тому, чтобы информация была понятной, структурированной и интересной для покупателя. Сейчас активно развиваюсь в сфере и…
❤1👎1
Научиться искать себе клиентов неделю — лень. Месяцами откликаться на вакансии — не лень. Большинство тех, кто закончил курсы по маркетплейсам это устраивает: бесконечная беготня за вакансиями, рассылки сообщений в чаты. Стоит уделить всего лишь капельку внимания моей системе поиска клиентов для — Менеджеров маркетплейсов — Дизайнеров инфографики чтобы больше не беспокоится о заработке, ведь клиенты будут всегда. …
Привет 💎 Делаю инфографику для карточек товаров 🛒🛒 Если нужно прокачать визуал — могу помочь Можете ознакомиться с портфолио 🔽 https://t.me/dizainer_infograficya Для заказа сюда 🔽 @Olka_yaa
Инфографика | Продвижение | Маркетплейсы pinned a photo
Профессиональный дизайнер карточек для маркетплейсов - Ваш путь к высоким продажам! Специализируюсь на создании эффективного товарных карточек на ведущих маркетплейсах, таких как Wildberries, Ozon. Моя цель - не просто красивая картинка, а мощный инструмент, который: Привлекает внимание покупателей с первых секунд. Ясно и убедительно доносит ключевые преимущества товара. помощью инфографики. Повышает конверсию …
За ИЮЛЬ я заработал +266.000 рублей на техничке Или обычный месячный доход технического специалиста на фрилансе. Не путайте с IT-направлением, здесь все в разы проще: без сложных терминов, нудной теории и кодов программирования. В чем суть: создавать чат-ботов в специальном конструкторе по готовой инструкции, где за несколько часов можно легко делать 3.000 - 4.000 рублей чистыми. В первый месяц работы, новички зар…
Showing the 12 most recent of 56 posts we hold for @MPdesigns. 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 — 173,830 of 1,151,006entries 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 2 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.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“Инфографика | Продвижение | Маркетплейсы” (@MPdesigns), 30,667 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/MPdesigns.
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.