Back to @Inshioyu's profile

晞榆shikiyu engagement report

@Inshioyu - 252K followers on X

Measured over 2 original posts from a 30-day window, last computed on September 26, 2026.

Engagement

Per follower
0.23%
of 252K followers
Per impression
1.87%
30K views on a typical post
Reach
12.3%
of its followers see a post
Typical post
569
interactions (median)
Saved
0.182%
56 bookmarks on a typical post
Posting rate
0.2/day
active 13% of days
Peak time
09:00 UTC
Tuesday

Early reading. We have captured 2 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 569 interactions against 252K followers, an engagement rate of 0.23%. Posts are seen about 30K times each, and 1.87% of those impressions turn into an interaction. That is about 12.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.2 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 09:00 UTC, and Tuesday is the busiest day of the week. Of the 2 posts sampled, 50% carry an image or video. The account's strongest tracked post pulled 1.1K interactions, about 1.9x its own typical post. Only 2 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 2 original posts from a 30-day window, last computed on September 26, 2026.

Where this sits in the catalog

At 0.23%, 晞榆shikiyu sits above the 50th percentile of the 205,475 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.678%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,475 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,893 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 percentile0.678%
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 09:00 UTC, and Tuesday 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: 09:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 09:00 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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 video50% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 50% 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 968 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above 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

  • Sep 24, 20261.9x their median

    📳Squeeze🍇🥤ing... https://t.co/8fV94Tq1m8

    1.0K323027K viewsView on X
  • Sep 22, 2026

    統一公告一下~ 其實我不是你們認識的那位喔,沒聽錯,是不是很驚訝?完全看不出來嗎?我是她的朋友。她因為身體原因決定退圈了,可能有點倉促,沒來得及好好說明,真的很抱歉。現在由我來接手幫她營運。我們一開始是在遊戲裡認識的,後來她才發現我們的風格很像,連身形、外貌甚至那些地方都極為相似。不過我比她高十公分哈哈之前我主要做清水內容,所以可能大家以前都沒特別留意過我。我自己也很驚訝,我是香港人,跟她隔了千里,但感覺就像孿生姐妹一樣。不過仔細看還是會有一點差別的。 雖然做不到100%一樣,但我會盡量模仿她在影片裡的習慣,也用她同款的道具。其實我們以前也常常互借衣服或出同一個角色,因為關係真的很好。或許很久以後我們會聯動一次也說不定。現在的她遇到一點困難,作為好朋友我會盡力幫助她,希望她能早日度過這段時期。我會盡可能讓大家感受到她的影子,模仿她的感覺,給大家熟悉的感覺。 希望大家可以接納我~謝謝大家的支持與喜愛!❤️ Quick announcement~ Actually, I’m not the person you all know. You didn’t mishear — surprised? Couldn’t tell at all? 😆 I’m her friend. She decided to retire from the circle due to health reasons. It was a bit rushed and she didn’t get the chance to properly explain, so I’m really sorry about that. From now on, I’ll be taking over and running the account for her. We first met in a game. Later she realized how similar our styles are — even our body types, looks, and those more private areas are extremely alike. The only difference is I’m about 10 cm taller than her, haha~ I used to mainly post clean (SFW) content, so maybe most of you never paid much attention to me before. I was pretty surprised myself. I’m from Hong Kong, thousands of miles away from her, yet we feel just like twin sisters. If you look closely though, there are still a few differences. I can’t be 100% the same, but I’ll do my best to copy her habits in the videos and use the same props she did. We used to borrow each other’s clothes and cosplay the same characters a lot because we’re really close. Maybe one day far in the future we’ll even collab together. She’s going through a bit of a tough time right now. As her good friend, I’ll do everything I can to help her and hope she gets through this period soon. I’ll try my best to let everyone feel her presence — by imitating her vibe and giving you that familiar feeling. Hope you can accept me~ Thank you so much for all your support and love! ❤️

    52020034K 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.

Buy or sell Twitter (X) accounts - escrow-protected

PlayerSells is an escrow marketplace for Twitter (X) accounts. Every deal is protected, with no middleman risk.

Reading these numbers

A typical post picks up 569 interactions against 252K followers, an engagement rate of 0.23%. Posts are seen about 30K times each, and 1.87% of those impressions turn into an interaction. That is about 12.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.2 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 09:00 UTC, and Tuesday is the busiest day of the week. Of the 2 posts sampled, 50% carry an image or video. The account's strongest tracked post pulled 1.1K interactions, about 1.9x its own typical post. Only 2 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is 晞榆shikiyu's engagement rate on X?
晞榆shikiyu (@Inshioyu) has an engagement rate of 0.23%, based on the median interactions across 2 original posts from the last 30 days against 251,703 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.23%, 晞榆shikiyu sits above the 50th percentile of the 205,475 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 @Inshioyu have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @Inshioyu post?
Most posts go out around 09:00 UTC, and Tuesday is its busiest day, at roughly 0.2 posts per day across the measured window.

Keep going