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Яндекс engagement report

@yandex - 1.3M followers on X

Measured over 11 original posts from a 30-day window, last computed on October 24, 2026.

Engagement

Bottom quarter for its size
Per follower
0.002%
of 1.3M followers
Per impression
0.215%
13K views on a typical post
Reach
1.00%
of its followers see a post
Typical post
27
interactions (median)
Saved
0.04%
5 bookmarks on a typical post
Posting rate
0.7/day
active 23% of days
Peak time
08:00 UTC
Sunday

A typical post picks up 27 interactions against 1.3M followers, an engagement rate of 0.002%. Measured over 11 original posts, its engagement rate beats 18% of 20,182 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 13K times each, and 0.215% of those impressions turn into an interaction. That is about 1.00% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.7 post a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 08:00 UTC, and Sunday is the busiest day of the week. Of the 11 posts sampled, 64% carry an image or video, 45% are part of a thread and 9% link out. The account's strongest tracked post pulled 7.8K interactions, about 290x its own typical post.

Measured over 11 original posts from a 30-day window, last computed on October 24, 2026.

Compared with accounts its own size

Яндекс's engagement rate beats 18% of the tracked X accounts closest to it in follower count (20,182 accounts, accounts of similar size (decile 10 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.

On engagement per impression rather than per follower it beats 16% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.

Where this sits in the catalog

At 0.002%, Яндекс sits below the 10th percentile of the 204,424 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,424 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,888 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.004%
25th percentile0.024%
50th percentile0.143%
75th percentile0.677%
90th percentile2.55%
99th percentile82.4%

This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built

Posting timing

This account posts most often around 08:00 UTC, and Sunday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 08:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 08:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%89K
01:00 UTC-2%90K
02:00 UTC-3%88K
03:00 UTC-4%94K
04:00 UTC-5%76K
05:00 UTC-4%75K
06:00 UTC-5%86K
07:00 UTC-5%93K
08:00 UTC-4%108K
09:00 UTC-4%124K
10:00 UTC-3%129K
11:00 UTC-3%141K
12:00 UTC-3%154K
13:00 UTC-3%167K
14:00 UTC-4%173K
15:00 UTC-2%176K
16:00 UTC-3%171K
17:00 UTC-3%159K
18:00 UTC-2%149K
19:00 UTC-2%141K
20:00 UTC-1%131K
21:00 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Sunday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Formats this account uses

Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video64% of posts+111%+108% to +115%34K
Outbound link9% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 64% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
  • 9% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
  • Its average post runs 220 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.

Best tweets

  • Oct 11, 2026290x their median

    Всем привет, я Дима Пирогов, руковожу финтех-направлением Яндекса. Сегодня утром был повреждён ещё один дата-центр Яндекса, дом наших сервисов. Из-за этого многие из вас до сих пор не могут проверить баланс, оплатить покупку или перевести свои деньги.

    4.1K4382.7K6082.7M viewsView on X
  • Oct 11, 2026174x their median

    Инфраструктура наших дата-центров повреждена, поэтому в работе сервисов Яндекса могут быть сбои. Специалисты делают всё возможное, чтобы как можно скорее всё починить.

    2.2K2001.9K356841K viewsView on X
  • Oct 9, 202672x their median

    В ночь с 7 на 8 октября дата-центр Яндекса в Сасово был серьезно повреждён из-за атаки БПЛА. Его работа полностью остановлена. Сегодня утром произошла атака на ещё один наш дата-центр, в Калуге. Часть инфраструктуры вышла из строя. https://t.co/yY7F4DmEMj

    89571797180536K viewsView on X
  • Oct 11, 202645x their median

    Сервисы Яндекса постепенно возвращаются к работе после сбоя. Восстанавливается доступ к Алисе, Поиску, Яндекс Картам, Такси, Почте и другим сервисам, но некоторые их функции пока остаются недоступны.

    6755243047133K viewsView on X
  • Jul 29, 20265.6x their median

    Запускаем программу 75/75/75: 75% разработчиков к концу года будут применять ИИ в написании кода, 75% изменений делается с участием ИИ, 75% кода в них написан вместе с ИИ. Это сократит время, за которое новые продукты выходят на рынок. Рассказываем про один из первых кейсов. https://t.co/FSy8VNu6t5

    3728725114K viewsView on X
  • Sep 21, 20264.1x their median

    Выкладываем в опенсорс большую языковую модель, которую с нуля обучили в Яндексе, используя собственную архитектуру и веса. Это AliceAI-Foundation-80B-A3B-Base. В карточках — подробности разработки. Модель опубликована на Hugging Face: https://t.co/vOGJYWTzsH https://t.co/8OrtenXsy0

    79824110K viewsView on X
  • Dec 18, 20254.0x their median

    Смотрите YaC AI Edition — большой разговор о том, как всё начинается с ИИ. Что, опять нейросети? Да, в 2025 году весь бигтех, включая Яндекс, говорит об ИИ больше, чем когда-либо, потому что он стал ещё полезнее. Доказываем и показываем — в этом фильме. https://t.co/VpKxDSc2lk https://t.co/mU5c4zL1Hx

    594432143K viewsView on X
  • Sep 11, 20263.7x their median

    Выкладываем в опенсорс Alice AI Search Pretrain. Это компактная языковая модель, которая является основой для поисковых ИИ-ответов. Её дообученная версия Alice AI Search работает в Поиске Яндекса. В карточках рассказываем, что особенно в этой модели. https://t.co/DtELowSNYq

    71620358K viewsView on X
  • Jun 17, 202610x their median

    Представляем YaFF. Это формат хранения и передачи данных, который упрощает работу сервисов с информацией и позволяет им эффективнее использовать существующую инфраструктуру. YaFF выложен с открытым исходным кодом: https://t.co/rhAVkJzA03 https://t.co/vW9Q1Bp26h

    52216013K viewsView on X
  • Sep 21, 20262.2x their median

    Телемост — теперь единая платформа для чатов и звонков. В нём собраны все привычные возможности Мессенджера: чаты, треды, группы и каналы. А в веб-версии и мобильном приложении можно переключаться между несколькими аккаунтами — например, личным и рабочим. https://t.co/5G5rPwCeX0

    24128695K viewsView on X

Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.

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Reading these numbers

A typical post picks up 27 interactions against 1.3M followers, an engagement rate of 0.002%. Measured over 11 original posts, its engagement rate beats 18% of 20,182 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 13K times each, and 0.215% of those impressions turn into an interaction. That is about 1.00% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.7 post a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 08:00 UTC, and Sunday is the busiest day of the week. Of the 11 posts sampled, 64% carry an image or video, 45% are part of a thread and 9% link out. The account's strongest tracked post pulled 7.8K interactions, about 290x its own typical post.

What is Яндекс's engagement rate on X?
Яндекс (@yandex) has an engagement rate of 0.002%, based on the median interactions across 11 original posts from the last 30 days against 1,255,162 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.002%, Яндекс sits below the 10th percentile of the 204,424 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
Does @yandex have real engagement?
Its engagement rate beats 18% of the tracked X accounts closest to it in follower count (20,182 accounts), which puts it in the bottom quarter for its size group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
When does @yandex post?
Most posts go out around 08:00 UTC, and Sunday is its busiest day, at roughly 0.7 posts per day across the measured window.

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