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十五夜【バツ泣き改 単行本発売!】 engagement report

@zyugoya - 575K followers on X

Measured over 13 original posts from a 30-day window, last computed on August 26, 2026.

Engagement

Top 10% for its size
Per follower
0.616%
of 575K followers
Per impression
6.95%
51K views on a typical post
Reach
8.87%
of its followers see a post
Typical post
3.5K
interactions (median)
Saved
0.555%
283 bookmarks on a typical post
Posting rate
0.93/day
active 53% of days
Peak time
08:00 UTC
Wednesday

A typical post picks up 3.5K interactions against 575K followers, an engagement rate of 0.616%. Measured over 13 original posts, its engagement rate beats 94% of 3,862 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 51K times each, and 6.95% of those impressions turn into an interaction. That is about 8.87% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.93 post a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 08:00 UTC, and Wednesday is the busiest day of the week. Of the 13 posts sampled, 54% carry an image or video and 8% link out. The account's strongest tracked post pulled 32K interactions, about 9.1x its own typical post.

Measured over 13 original posts from a 30-day window, last computed on August 26, 2026. Recurring tag: #pixelart.

Compared with accounts its own size

十五夜【バツ泣き改 単行本発売!】's engagement rate beats 94% of the tracked X accounts closest to it in follower count (3,862 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 95% 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 0.616%, 十五夜【バツ泣き改 単行本発売!】 sits above the 75th percentile of the 37,350 accounts in this comparison. That places it in the top 25% band, which runs 0.437% to 2.10%.

p100.002%
p250.012%
p50 (median)0.081%
p750.437%
p902.10%
p99159.9%
Engagement rate as a share of followers, across the 37,350 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 106,576 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 percentile0.002%
25th percentile0.012%
50th percentile0.081%
75th percentile0.437%
90th percentile2.10%
99th percentile159.9%

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 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: 08:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%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%52K
01:00 UTC-2%53K
02:00 UTC-3%51K
03:00 UTC-4%55K
04:00 UTC-6%44K
05:00 UTC-4%43K
06:00 UTC-4%49K
07:00 UTC-5%53K
08:00 UTC-4%62K
09:00 UTC-3%71K
10:00 UTC-2%74K
11:00 UTC-3%80K
12:00 UTC-2%88K
13:00 UTC-2%97K
14:00 UTC-4%100K
15:00 UTC-2%103K
16:00 UTC-3%100K
17:00 UTC-3%93K
18:00 UTC-2%87K
19:00 UTC-2%82K
20:00 UTC-1%76K
21:00 UTC-1%67K
22:00 UTC-1%58K
23:00 UTC-1%52K
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 5%Busiest day: Wednesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%235K
Monday0%296K
Tuesday-3%292K
Wednesday-1%254K
Thursday-2%248K
Friday-3%256K
Saturday+3%230K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

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  • Jul 28, 2026

    異色の“扇子”音ゲー『オウギヒメ』が8月28日にリリース決定。山田じぇみ子さんと大山チロルさんが新キャラ「阿鬼」「吽鬼」のCVを担当 https://t.co/H4ktuWscpg 基本プレイ無料、iOS、Androidで配信予定の新作。扇子を「開く」「閉じる」「回す」アクションでレーンが次々に変化する https://t.co/zADwnIaUYZ

    4.0K839312061.4M viewsView on X
  • Jul 17, 2026

    【山田じぇみ子/星宮えと/いちかあい】 《オキニメスママ》MV_1番 https://t.co/OauwY8LzEt

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  • Jul 16, 2026

    アトリエに等身大ポップ飾ったら急激にオタク部屋になった https://t.co/vv5X5yCzxw

    4.6K13616069K viewsView on X
  • Aug 21, 2026

    北海道に行ってました 海鮮が美味すぎる じゃがいもが美味すぎる ソフトクリームが美味すぎる https://t.co/FnZ083XteK

    4.1K15110053K viewsView on X
  • Aug 6, 2026

    グレイローズ、個人的にはかなりのお気に入りだったりしますよ https://t.co/5Odt8JQ6Cl

    3.3K1928151K 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

#pixelart

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 3.5K interactions against 575K followers, an engagement rate of 0.616%. Measured over 13 original posts, its engagement rate beats 94% of 3,862 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 51K times each, and 6.95% of those impressions turn into an interaction. That is about 8.87% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.93 post a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 08:00 UTC, and Wednesday is the busiest day of the week. Of the 13 posts sampled, 54% carry an image or video and 8% link out. The account's strongest tracked post pulled 32K interactions, about 9.1x its own typical post.

What is 十五夜【バツ泣き改 単行本発売!】's engagement rate on X?
十五夜【バツ泣き改 単行本発売!】 (@zyugoya) has an engagement rate of 0.616%, based on the median interactions across 13 original posts from the last 30 days against 575,400 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.616%, 十五夜【バツ泣き改 単行本発売!】 sits above the 75th percentile of the 37,350 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 @zyugoya have real engagement?
Its engagement rate beats 94% of the tracked X accounts closest to it in follower count (3,862 accounts), which puts it in the top 10% 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 @zyugoya post?
Most posts go out around 08:00 UTC, and Wednesday is its busiest day, at roughly 0.93 posts per day across the measured window.

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