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Channel

Околоритейл

@okoloretail

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Advertising · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry

36,523subscribers

-518 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001273417997
TypeChannel
Username@okoloretail
DescriptionБудни российского ритейла. Автор — Даниил Баздырев, ex PR МТС Ритейл. Предложить новость: @Retailuser_bot По всем вопросам: @dadanil3 Мы в Max: https://max.ru/okoloretail РКН: https://clck.ru/3FrDwL
Created23 January 2019 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live9 November 2026
Measurements held63
Confirmed unchanged1 time, most recently 9 November 2026
On Telegramt.me/okoloretail

Topic

Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 67% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 9 other registered channels. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@retailerblog/345619 Aug 2026, 10:30 UTC@okoloretail/11119 · this entry19 Aug 2026, 11:09 UTC1.0040 minutes
@retailerblog/352326 Aug 2026, 10:01 UTC@okoloretail/11199 · this entry26 Aug 2026, 13:10 UTC1.003.2 hours
@retailerblog/353828 Aug 2026, 08:25 UTC@okoloretail/11220 · this entry28 Aug 2026, 13:49 UTC1.005.4 hours
@retailerblog/356430 Aug 2026, 06:39 UTC@okoloretail/11248 · this entry30 Aug 2026, 16:21 UTC1.009.7 hours
@retailerblog/378822 Sept 2026, 14:40 UTC@okoloretail/11566 · this entry22 Sept 2026, 16:41 UTC1.002.0 hours
@retailerblog/39418 Oct 2026, 08:07 UTC@okoloretail/11783 · this entry8 Oct 2026, 08:25 UTC1.0019 minutes
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@retailerblog50 (8/8 hand-verifiable sample passed)1.001.8 hours@retailerblog (42–8)
@vsedlyamp48 (8/8 hand-verifiable sample passed)1.002.0 hours@vsedlyamp (39–9)
@kommerc22 (8/8 hand-verifiable sample passed)0.982.4 hours@kommerc (19–3)
@retail_kitchen18 (8/8 hand-verifiable sample passed)1.0049 minutes@retail_kitchen (15–3)
@commerc13 (8/8 hand-verifiable sample passed)1.001.5 hours@commerc (8–5)
@b_retail14 (8/8 hand-verifiable sample passed)0.9914 minutes@b_retail (10–4)
@bespwb8 (8/8 hand-verifiable sample passed)1.002.1 hours@bespwb (7–1)
@retailife6 (6/6 hand-verifiable sample passed)1.002.1 hours@retailife (5–1)
@mp_week6 (6/6 hand-verifiable sample passed)0.983.1 hours@mp_week (4–2)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 146 of the 147 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 540 comparable posts for this entry, running 5 August 2026 to 10 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Recorded under the keys clone_copy · clone_mutual, last confirmed 11 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Growth

36,52337,04136,7826 August 20269 November 2026
63 measurements spanning 96 days, net -518. 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 36,445–37,119 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)SubscribersChange
9 Nov 2026, 23:0636,523-17
8 Nov 2026, 16:5636,540-9
7 Nov 2026, 10:1036,549-2
6 Nov 2026, 11:3036,551-9
5 Nov 2026, 10:2536,560-3
4 Nov 2026, 08:2636,563-6
3 Nov 2026, 07:4036,569-13
2 Nov 2026, 08:4836,582-16
1 Nov 2026, 11:3536,598-14
31 Oct 2026, 10:2936,612-6
30 Oct 2026, 11:2036,618+1
29 Oct 2026, 10:5736,617-17
28 Oct 2026, 11:1736,634-2
27 Oct 2026, 13:0436,636-10
26 Oct 2026, 12:5536,646-8
25 Oct 2026, 09:3836,654-5
24 Oct 2026, 10:2636,659-15
23 Oct 2026, 07:2136,674-4
22 Oct 2026, 07:3636,678+1
20 Oct 2026, 23:3536,677first reading

Engagement

805 posts held, back to 5 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 182 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
11.6%
avg views ÷ 36,523 subscribers
Avg views / post
4,220
259 posts measured
Reaction rate
1.71%
reactions ÷ views · ER floor
Posts in window
259
of 805 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 11 November 2026
Posts held805 (5 August 2026 – 11 November 2026)
Views total1,093,444
Reactions total18,747
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 15:16 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
≈8,300
Videos
≈1,560
Links
≈1,110

Lifetime counters from Telegram’s own channel header, read 11 November 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
2h 08m
Average length
43s

Measured directly from 178 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.

Reaction mix

51,457 reactions across 795 posts, in 17 distinct kinds. The most used accounts for 20.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🤣10,49620.4%
😁8,33816.2%
❤6,51112.7%
🤬4,4848.71%
🔥3,8477.48%
💊3,7267.24%
👍3,3046.42%
😭2,9375.71%
😱2,8075.46%
🌚1,1132.16%
🤷‍♂1,0502.04%
😍8271.61%
🤔7201.40%
🎃4190.814%
😈4070.791%
🤝3920.762%
👌790.154%

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 804 of the 805 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 51,782 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 805 most recent posts we hold, published 5 August 2026 to 11 November 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.

Advertising

Ad load
0.745%
6 of 805 posts carry an ad marker
Regulatory tokens
6
posts carrying an erid · 6 distinct tokens
Median views · ads
4,080
over 6 measured posts
Median views · rest
4,400
over 799 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.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2VfnxvX1kfW123 September 202623 September 2026
2Vtzqwdff87131 August 202631 August 2026
2VtzqxgYWUC126 September 202626 September 2026
CQH36pWzJq6KxW9opm76ePBpSM5KZQc3QefTwafrQyLGKg116 October 202616 October 2026
CQH36pWzJqE1dR7FjqJnRHfEKNVz6SnHQY8QUQy1Lbx6hK114 August 202614 August 2026
CQH36pWzJqE1dR7FwWxGSMBwJcv4E7vWSXrPosKGYWsvB3122 September 202622 September 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 805 most recent posts we hold, published 5 August 2026 to 11 November 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.

Recent posts

Telegram’s own ‘edited’ marker: 22 of 259 posts held from the last 30 days (8.49%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

11 Nov 2026, 14:26 UTC954 views1 reactionsread 11 November 2026
Photo

Количество пунктов выдачи заказов (ПВЗ) в России достигло 274 тыс. Об этом заявил первый заместитель министра экономического развития РФ Максим Колесников. По его словам, такой масштаб сети ПВЗ стал особенностью российской платформенной экономики. В других странах такого количества ПВЗ нет, сказал Колесников.

❤1

11 Nov 2026, 13:45 UTC≈1,430 views12 reactionsread 11 November 2026

от подписчика, торгующего на маркетплейсах Выгодные скидки были бы, только озон, своими выгодными условиями, вгоняет селлеров в минус. Чтобы в акции участвовать, требует снизить цену в два! раза. При этом, если вычесть все расходы, остается что-то около нуля или минус. Итог: площадка продвинула на первые позиции китайцев, которые обманывают покупателей, забрала свои 80% и довольна, что нагрела селлера. Я вышел из в…

🤬12

11 Nov 2026, 13:32 UTC≈1,630 views21 reactionsread 11 November 2026
Photo

В сети нашли самый безумный тур по России — из Ростова-на-Дону на московский рынок «Садовод». Обещают два дня азарта по рядам с товарами, поиск эксклюзивов, которых не найти в регионах, и настоящий драйв от покупок.

😁18😱3

11 Nov 2026, 12:30 UTC≈1,840 views4 reactionsread 11 November 2026
Photo

Скидка 15% на офисные закупки при покупке воды Если пора заказать воду в офис, проверьте, сколько осталось кофе, печенья, салфеток и бумаги. В Купер Бизнесе всё это можно добавить в одну корзину. Здесь можно выбрать воду для кулера, небольшие бутылки для сотрудников и воду в стекле для переговорной. При покупке воды скидка 15% распространяется на всю корзину, включая остальные товары. Заказать воду и товары для оф…

❤2👍1🔥1

11 Nov 2026, 11:34 UTC≈2,260 views29 reactionsread 11 November 2026

«Почте России» разрешили продавать российское вино онлайн в качестве эксперимента — пока только в Москве и области. Председатель Госдумы Вячеслав Володин заявил, что мера поддержит «Почту России» и отечественных производителей вина. Для заказа нужно будет подтвердить возраст на Госуслугах и ждать не менее 24 часов, чтобы получить заказ. По его мнению, эксперимент не будет способствовать употреблению алкоголя, так ка…

🤣24🤬5

11 Nov 2026, 11:19 UTC≈2,160 views41 reactionsread 11 November 2026

Как распродажа проходит? Нашли что-нибудь выгодное?

🤣38😭3

11 Nov 2026, 11:04 UTC≈2,310 views41 reactionsread 11 November 2026
Video

В Воронеже курьер службы доставки не устоял перед входным ковриком в подъезде клиента и забрал его с собой

😁24🤣11😱5🤬1

11 Nov 2026, 10:01 UTC≈2,360 views3 reactionsread 11 November 2026
Photo

Новогоднее настроение на максимум! Прямо сейчас мы разыгрываем целых 10 тысяч подарков, так что скорее присоединяйтесь. Есть все шансы найти под ёлочкой новый автомобиль! 🎄 Выполняйте задания в приложении: совершайте покупки в «Пятёрочке» и в доставке, покупайте товары партнёров. 🎄 Получайте рябинки и обменивайте их на гарантированные призы и шансы на участие в розыгрышах. 🎄 А ещё проходите уровни в игре и получайте…

🤣2🌚1

11 Nov 2026, 09:15 UTC≈2,420 views83 reactionsread 11 November 2026
Photo

Сотрудники ПВЗ теперь устанавливают свои правила для посетителей

👍42🤣22🤬14🌚3😈2

11 Nov 2026, 08:03 UTC≈2,680 views42 reactionsread 11 November 2026
Photo

Вейпы уже исчезают из петербургских магазинов — их не удалось найти в 5 из 15 точек, которые проверила «Фонтанка» При этом официального решения ещё нет: законопроект о полном запрете продажи вейпов в городе депутаты рассмотрят только 11 ноября.

🤬22👍20

11 Nov 2026, 07:00 UTC≈2,800 views6 reactionsread 11 November 2026
Photo

Скидка привлекла покупателя. А что происходит дальше? Ноябрь – месяц распродаж и борьбы за покупателя. Розничные сети вкладываются в рекламу и снижают цены. Но если сотрудник не объяснил условия акции или не предложил замену закончившемуся товару, продажу можно упустить даже при выгодном предложении. 19 ноября в 12:00 МСК эксперты Речевой аналитики Т-Банка проведут вебинар «Магазины, звонки, чаты: где теряется прод…

🤣6

11 Nov 2026, 06:04 UTC≈2,940 views17 reactionsread 11 November 2026
Photo

Производители и продавцы электроники просят правительство отсрочить введение техсбора с 1 декабря 2026 года, пишет «Ъ» Из-за отсутствия конкретных механизмов уплаты сбора компании опасаются издержек, сбоев в бизнес-процессах и срыва поставок в конце года. «Сейчас производители и импортёры не имеют возможности заранее настроить учётные системы, перестроить финансовое планирование, адаптировать договоры поставки и за…

❤8👍5🌚3🤔1

Showing the 12 most recent of 805 posts we hold for @okoloretail. 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.

Posts edited after publishing

@okoloretail edited 3 posts 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
12 August 2026
Most recent edit
29 October 2026

Posts recorded as deleted after publishing

We recorded 2 posts on @okoloretail as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
19 August 2026
Most recent seen missing
7 September 2026
Median time before seen missing
13 hours
Seen missing in the last 30 days
0

Forward network

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 15 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.

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

АНТИРИТЕЙЛ ⚫️
@ANTIRETAIL · 2,318
#1
Нью Ритейл | New Retail
@NewRetail · 10,859
#2
Свободная касса (ритейл & e-com)
@svobodakassa · 31,882
#3
FMCG Report
@fmcg_ru · 43,542
#4
Retail.ru - пишем о ритейле каждый день
@retail_ru · 17,824
#5
RETAILER.ru - новости
@retailer_news · 18,151
#6
Продукт Медиа
@producttoday · 13,045
#7
Retail Today
@retailtoday · 7,370
#8
Shopper’s
@newspotreb · 26,980
#9
Top Retail
@top_retail · 3,284
#10
Н — Дэйта Фэктори
@nielsenrussia · 32,533
#11
Про Ритейл Дейли | pro retail daily
@PRORETAILCOMMUNITY · 4,156
#12
Из коммерса в е-коммерса
@hikollegi · 55,280
#13
Решения для ритейла и производства
@retail_cases · 1,216
#14
#Фудтех
@foodtechonline · 21,261
#15
Retail Week/Неделя Ритейла
@retailweek · 4,912
#16
Аналитика о ритейле и HoReCa от INFOLine
@retail_infoline · 3,442
#17
Ecomhub (Маркетплейсы, eCom, ритейл, логистика и пр.)
@ecomhubZador · 1,261
#18
Беспощадный ритейл
@b_retail · 137,440
#19
Кровавая барыня
@bloodysx · 1,172,884
#20
Фудтех в России
@foodtech_russia · 4,761
#21
Полка — новости российской торговли
@polka_retail · 3,177
#22
Просто X5
@x5_telega · 18,902
#23
Dialog X5 | Аналитика
@DialogX5Insights · 5,039
#24
Ритейлер Свифт
@retailerswift · 10,547
#25
Агатов Борис Tech - Бизнес и ИИ
@agatov_tech · 6,239
#26
ProFood. Новости & Аналитика
@profood_news · 971
#27
Oborot.ru — об электронной торговле для интернет-магазинов, ритейлеров, селлеров
@oborotru · 8,789
#28
Sostav
@sostav · 56,425
#29
ПРИДУМАЛИ FM
@pridumali · 1,781
#30
vc.ru
@vcnews · 112,144
#31
Retail
@retail · 3,019
#32
Русский маркетинг
@smmrus · 124,951
#33
лидер мнений среди удобрений
@lider · 175,531
#34
Кухня ритейла
@retail_kitchen · 64,838
#35
Михаил Лачугин
@mikhail_lachugin · 3,559
#36
Русский ритейл и бизнес
@retailrus · 281,555
#37
Про МАГНИТ🧲
@magnitnews · 16,350
#38
ГипермаркеР для СЕО
@Hipermarker · 1,189
#39
RETAILITY
@retaility · 329
#40
PIM Solutions для Ecom
@pim_blog · 2,505
#41
FMCG & Retail от Маши Неуважаевой
@FMCGvacancy · 7,903
#42
Okkam insights
@okkaminsights · 14,014
#43
АКОРТ
@acortnews · 1,506
#44
Промопровод
@promoprovod · 499
#45
AdIndex
@adindex · 31,282
#46
WineRetail.Info - Современная виноторговля в цифрах
@wineretail · 8,459
#47
РУСПРОДСОЮЗ
@rusprodsoyuz · 1,451
#48
OMD Медиа интеллигенция
@omd_mi · 2,041
#49
ЦенОбразование Ӏ KeepRise
@pricingcommunity · 1,285
#50
КООПЕРАТИВ БУДУЩЕГО
@retailfuture · 1,004
#51
Андрей Осокин
@OsokinOsokin · 19,085
#52
Преображенский | E-commerce и Практика
@praktikadaysonline · 3,337
#53
Insider Info
@insider_infor · 5,544
#54
Ставка на мерч
@StavkaNaMerch · 978
#55
Раньше всех. Ну почти.
@bbbreaking · 1,975,436
#56
Mash
@mash · 3,140,033
#57
MEDIA RESEARCHES
@mediaresearchesanalytics · 18,003
#58
Категорийный менеджмент
@catmanpro_org · 3,822
#59
Сергей Ипатов (PromoData)
@promodata · 2,109
#60
Банкста
@banksta · 439,838
#61
кабачковая икра по акции
@sale_caviar · 192,540
#62
Krok pro CatMan
@krok_catman · 1,959
#63
NTech | FMCG • Аналитика • Ритейл
@Ntech_Forum · 6,466
#64
Chain
@chainbybzn · 543
#65
РОМИР
@romir_real · 7,264
#66
РБК. Новости. Главное
@rbc_news · 913,555
#67
ЕЖ
@ejdailyru · 664,380
#68
X5 Dialog
@x5dialog · 2,266
#69
Постмаркетинг
@pstmarketing · 64,038
#70
Data Insight . Цифры E-commerce
@DataInsight · 20,274
#71
E-pepper.ru
@e_pepper · 1,637
#72
Коммерческое предложение. Категорийный менеджмент
@kpcatmanpro · 2,051
#73
Retail&Loyalty: розница, e-commerce, инновации
@retailloyaltyjournal · 1,276
#74
Банки, деньги, два офшора
@bankrollo · 462,111
#75
Вакансии FMCG, RETAIL и ECOMM
@fmcg_job · 4,260
#76
Аренда ТРК | Arenda-trk | Всё самое актуальное о работе ТРЦ
@arendatrk · 5,276
#77
Инсайт Комкон
@insight_comcon · 7,369
#78
Лучшие вакансии
@vacanciesbest · 162,821
#79
Узбекский Ритейл
@uzbekretail · 9,206
#80
Коммерсантъ
@kommersant · 295,286
#81
Forbes Russia
@forbesrussia · 235,497
#82
Клуб Мерчандайзинга | Lasmart
@MerchandisingClub · 950
#83
Insider X5
@insiderx5 · 11,017
#84
Татьяна Ким
@kimtatyana2024 · 86,893
#85
Группа Лента
@lenta_group · 2,590
#86
Антиглянец
@sncmag · 299,576
#87
Креатив со звездочкой
@creative · 133,442
#88
Frontier
@frontier_trends · 5,785
#89
ЩЕПЕЛИН | eCommerce | eCompass Capital
@NotBorringPPT · 2,683
#90
Беспощадный пиарщик
@prbezposhady · 151,213
#91
ВкусВилл пишет
@news_vkusvill · 5,026
#92
⚡️AdIndex ТехЛайф
@adindex_live · 5,726
#93
Будни мерчандайзинга 🛒
@merchandisingru · 344
#94
БП онлайн
@bponline · 111,510
#95
Stonks
@stonks_moex · 5,125
#96
Владислав Бакальчук
@WBakalchuk · 47,179
#97
Больше джобсов
@morejobs · 84,570
#98
Business Incognita
@businessincognita · 23,815
#99

Read from Telegram’s recommendation API, most recently 1 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

FMCG Report
@fmcg_ru · 43,542
Telegram ranks this channel #2 of 97 here — alongside 96 others — read 29 August 2026
Просто X5
@x5_telega · 18,902
Telegram ranks this channel #3 of 90 here — alongside 89 others — read 3 October 2026
Н — Дэйта Фэктори
@nielsenrussia · 32,533
Telegram ranks this channel #3 of 99 here — alongside 98 others — read 4 September 2026
Shopper’s
@newspotreb · 26,980
Telegram ranks this channel #5 of 98 here — alongside 97 others — read 11 September 2026
Свободная касса (ритейл & e-com)
@svobodakassa · 31,882
Telegram ranks this channel #5 of 98 here — alongside 97 others — read 6 September 2026
Перекрёсток
@perekrestok_store · 124,008
Telegram ranks this channel #12 of 53 here — alongside 52 others — read 15 August 2026
Около кассы | Ритейл
@okolokass · 19,176
Telegram ranks this channel #14 of 69 here — alongside 68 others — read 1 October 2026
#Фудтех
@foodtechonline · 21,261
Telegram ranks this channel #14 of 97 here — alongside 96 others — read 24 September 2026
Привет, Магнитовцы!
@magnitovcy · 25,392
Telegram ranks this channel #15 of 55 here — alongside 54 others — read 1 October 2026
Беспощадный ритейл
@b_retail · 137,440
Telegram ranks this channel #23 of 89 here — alongside 88 others — read 13 August 2026
Из коммерса в е-коммерса
@hikollegi · 55,280
Telegram ranks this channel #25 of 100 here — alongside 99 others — read 23 August 2026
Будни Маркетплейсов
@mp_week · 20,430
Telegram ranks this channel #26 of 46 here — alongside 45 others — read 25 September 2026
Fashion retail
@retailfashion · 22,745
Telegram ranks this channel #29 of 95 here — alongside 94 others — read 20 September 2026
Рыбная полка
@rybhoz_channel · 26,270
Telegram ranks this channel #53 of 86 here — alongside 85 others — read 13 September 2026
Data Insight . Цифры E-commerce
@DataInsight · 20,274
Telegram ranks this channel #54 of 97 here — alongside 96 others — read 29 September 2026
ЕБИТДА
@ebitdaebitda · 33,668
Telegram ranks this channel #58 of 98 here — alongside 97 others — read 4 September 2026
Business Incognita
@businessincognita · 23,815
Telegram ranks this channel #89 of 98 here — alongside 97 others — read 18 September 2026

This channel appears in 17 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 9 November 2026 — this entry's latest reading, not the date you are reading this.

“Околоритейл” (@okoloretail), 36,523 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/okoloretail.

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.