6 measurements spanning 40 days, net +9. 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 43–54 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Sept 2026, 12:16
53
+3
8 Sept 2026, 03:01
50
+3
29 Aug 2026, 18:16
47
+1
22 Aug 2026, 03:08
46
+2
10 Aug 2026, 15:31
44
no change
7 Aug 2026, 18:24
44
first reading
Engagement
8 posts held, back to 12 October 2025 — 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 9 August 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
111 reactions across 6 posts, in 4 distinct kinds. The most used accounts for 34.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🏆
38
34.2%
❤
36
32.4%
🔥
36
32.4%
💯
1
0.901%
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 6 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 111 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 12 October 2025 to 9 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.
С каждым днем компаниям все сложнее получать отзывы — клиенты редко дают обратную связь, Яндекс ужесточает модерацию, и оценки часто даже не могут опубликоваться на площадке
Возникает вопрос: как же тогда повышать репутацию?
Стоматология в Москве использовала креативный подход, благодаря которому увеличила отзывы с 200 до 400 штук. Реальный кейс, где не использовали ни накрутки, ни бонусы клиентам — компания взглян…
🚘 Сейчас продвигаем на картах сеть из 7 автопарков и центров подключения курьеров по РФ
Одна из ключевых задач на проекте - улучшить репутацию компании и обжаловать негативные отзывы, которые не соответствуют правилам Яндекс Карт, не несут в себе конструктивной критики, а только безосновательно ухудшают репутацию
✔️ За 3 недели работы уже удалили 15 негативных отзывов по всей сети филиалов компании. Это составляет …
Сейчас активно тестируем замену ручного дизайна на дизайн только через ИИ
В идеале нейросети ускорят нам процесс упаковки профилей с 7 до 2-х дней и снизят наши затраты на дизайн на 30%
Прикрепил два примера дизайна с текущего проекта по одному и тому же ТЗ. Один из макетов сделан дизайнером, другой - через нейросеть
Какой вариант вам нравится больше?
Пометку какой дизайн где - оставил в комментариях к опросу
🦷 Успешно реализовали уже 6-й кейс по стоматологии за последние полгода
Сейчас начинаю упаковывать кейсы, прикрепил результаты одного из клиентов. Смогли за 3 месяца работы продвинуть клинику в ТОП-1 по центру Москвы
Очень приятно работать по стоматологиям на картах, ниша отлично подходит за счет трех критериев: физического адреса, дешевого входа и высокого чека
К тому же, проанализировал крупные агентства по геом…
🗺 Продвижение на картах - лучшее решение для локального бизнеса в 2026 году?
За все время в маркетинге с 2022 года я привлекал клиентов через разные каналы трафика, в разные компании, - а особенно часто работал с локальным бизнесом.
И за это время я четко осознал:
Для локального B2C бизнеса самый простой способ привлечь клиентов ‐ продвижение на картах
📌 Прикрепил таблицу сравнения популярных каналов трафика. Табл…
Обо мне
Привет! Меня зовут Александр, я из Санкт-Петербурга.
Маркетолог с 3-х летним опытом, за плечами 50+ проектов в разных нишах, работаю часто в команде. Соединяем потребности людей с ответственным бизнесом.
Веду экспертный блог о маркетинге для локального бизнеса в деловой сети TenChat и немного в ВК. В TenChat почти 3500 подписчиков, предпринимателей.
На канале рассказываю о том, чем занимаюсь в жизни - как…
Showing the 8 most recent of 8 posts we hold for @alx_shitov. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 8 most recent posts we hold, published 12 October 2025 to 9 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Mentions
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 16 September 2026 — this
entry's latest reading, not the date you are reading this.
“Александр Шитов | Локальный маркетинг” (@alx_shitov), 53 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/alx_shitov.
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.