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郭西㭍 engagement report

@guoxiqi9144 - 155K followers on X

Measured over 11 original posts from a 30-day window, last computed on October 29, 2026.

Engagement

Bottom quarter for its size
Per follower
0.008%
of 155K followers
Per impression
0.117%
10K views on a typical post
Reach
6.60%
of its followers see a post
Typical post
12
interactions (median)
Saved
0.01%
1 bookmarks on a typical post
Posting rate
1.37/day
active 73% of days
Peak time
11:00 UTC
Wednesday

A typical post picks up 12 interactions against 155K followers, an engagement rate of 0.008%. Measured over 11 original posts, its engagement rate beats 17% of 21,624 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 10K times each, and 0.117% of those impressions turn into an interaction. That is about 6.61% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 11:00 UTC, and Wednesday is the busiest day of the week. Of the 11 posts sampled, 18% carry an image or video and 9% are part of a thread. The account's strongest tracked post pulled 44K interactions, about 3660x its own typical post.

Measured over 11 original posts from a 30-day window, last computed on October 29, 2026. Recurring tag: #これがこうなる.

Compared with accounts its own size

郭西㭍's engagement rate beats 17% of the tracked X accounts closest to it in follower count (21,624 accounts, accounts of similar size (decile 8 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 7% 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 0.008%, 郭西㭍 sits above the 10th percentile of the 218,169 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.

p100.004%
p250.025%
p50 (median)0.149%
p750.705%
p902.63%
p9982.5%
Engagement rate as a share of followers, across the 218,169 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 21,723 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 percentile0.025%
50th percentile0.149%
75th percentile0.705%
90th percentile2.63%
99th percentile82.5%

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 11:00 UTC, and Wednesday 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: 11:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 11:00 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video18% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--8%-9% to -7%41K
  • 18% 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.
  • 0% 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 31 characters, which falls in the under 80 characters band. Across the catalog, posts under 80 characters run 8% below the same accounts' other posts.

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 8, 20263660x their median

    https://t.co/xK91WalYgq

    42K1.4K16920357K viewsView on X
  • Sep 30, 20261695x their median

    根本就沒有這樣的玩法 https://t.co/9ml548hbyv

    19K510705542.1M viewsView on X
  • May 3, 2023436x their median

    带壳的牡蛎是大人的心脏 https://t.co/el9pZ6ipYf

    2.0K8210211.8M viewsView on X
  • Sep 14, 20264.8x their median

    广 而 告 之 https://t.co/KwJ0fM9bVI

    5302212K viewsView on X
  • Sep 13, 20263.8x their median

    今日投稿 一位美丽的伪娘 雅熙宝宝 @yizechuqi11 是Switch 喜欢做女主的小狗 当男生的女王 平时在徐州 喜欢克特萝莉风 本人定位可御可甜 想要涨涨粉丝!🤩如果附近有喜欢的欢迎大家去私信 更想在私信里对4i大女主犯贱🐶 至于其他方面 就等待大家对探索啦 (博主上X不频繁 私信回复慢请见谅😌) https://t.co/iu5UXEar7W

    4121112K viewsView on X
  • Oct 4, 20262.2x their median

    到现在还是会在意 怎么样才能让更多人喜欢 还是被情感忽视太严重了 缺爱最容易成恋爱脑 依恋型 每日三省怕自己头昏 但是真的好累啊 光是这样就心力交瘁了

    2402011K viewsView on X
  • Sep 28, 20261.6x their median

    男娘实在是一个以瘦为美的群体 除了愿意花价钱忍痛改造的各位宝宝🥹

    160309.4K viewsView on X
  • Sep 22, 2026

    好烦 真的性压抑了 好想做 没有亲密的肉体关系 感觉感情缺失了一样

    170005.1K viewsView on X
  • Oct 6, 2026

    人压抑久了且没有性生活的话真的会变猥琐 中国这么性压抑的环境真的 有什么怪品种我都不奇怪

    140109.7K viewsView on X
  • Sep 21, 2026

    居然还有人记得 那天翻出来再发一次 谁赞成 谁反对🥰 https://t.co/3tSysopfLz

    130206.3K 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.

Recurring topics

#これがこうなる

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 12 interactions against 155K followers, an engagement rate of 0.008%. Measured over 11 original posts, its engagement rate beats 17% of 21,624 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 10K times each, and 0.117% of those impressions turn into an interaction. That is about 6.61% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 11:00 UTC, and Wednesday is the busiest day of the week. Of the 11 posts sampled, 18% carry an image or video and 9% are part of a thread. The account's strongest tracked post pulled 44K interactions, about 3660x its own typical post.

What is 郭西㭍's engagement rate on X?
郭西㭍 (@guoxiqi9144) has an engagement rate of 0.008%, based on the median interactions across 11 original posts from the last 30 days against 154,562 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.008%, 郭西㭍 sits above the 10th percentile of the 218,169 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 @guoxiqi9144 have real engagement?
Its engagement rate beats 17% of the tracked X accounts closest to it in follower count (21,624 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 @guoxiqi9144 post?
Most posts go out around 11:00 UTC, and Wednesday is its busiest day, at roughly 1.37 posts per day across the measured window.

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