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yutori🐹 9月コスホリ両日 engagement report

@milkis_drop - 541K followers on X

Measured over 20 original posts from a 30-day window, last computed on August 27, 2026.

Engagement

Middle of its size range
Per follower
0.125%
of 541K followers
Per impression
2.79%
24K views on a typical post
Reach
4.46%
of its followers see a post
Typical post
676
interactions (median)
Saved
0.008%
2 bookmarks on a typical post
Posting rate
0.93/day
active 57% of days
Peak time
19:00 UTC
Thursday

A typical post picks up 676 interactions against 541K followers, an engagement rate of 0.125%. Measured over 20 original posts, its engagement rate beats 74% of 3,882 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 24K times each, and 2.79% of those impressions turn into an interaction. That is about 4.47% 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 57% of days. Most posts go out around 19:00 UTC, and Thursday is the busiest day of the week. Of the 20 posts sampled, 5% carry an image or video. The account's strongest tracked post pulled 63K interactions, about 93x its own typical post.

Measured over 20 original posts from a 30-day window, last computed on August 27, 2026.

Compared with accounts its own size

yutori🐹 9月コスホリ両日's engagement rate beats 74% of the tracked X accounts closest to it in follower count (3,882 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 79% 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 0.125%, yutori🐹 9月コスホリ両日 sits above the 50th percentile of the 37,582 accounts in this comparison. That places it in the above the median band, which runs 0.081% to 0.439%.

p100.002%
p250.012%
p50 (median)0.081%
p750.439%
p902.10%
p99158.1%
Engagement rate as a share of followers, across the 37,582 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 105,409 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 percentile0.439%
90th percentile2.10%
99th percentile158.1%

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 19:00 UTC, and Thursday 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: 19:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 19:00 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%50K
07:00 UTC-5%54K
08:00 UTC-4%62K
09:00 UTC-3%72K
10:00 UTC-2%74K
11:00 UTC-3%81K
12:00 UTC-2%89K
13:00 UTC-2%98K
14:00 UTC-4%101K
15:00 UTC-2%104K
16:00 UTC-3%102K
17:00 UTC-3%94K
18:00 UTC-1%88K
19:00 UTC-2%83K
20:00 UTC-1%77K
21:00 UTC-1%68K
22:00 UTC-2%59K
23:00 UTC-2%53K
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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Thursday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%237K
Monday0%300K
Tuesday-3%299K
Wednesday-1%256K
Thursday-1%249K
Friday-3%258K
Saturday+3%232K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Jul 9, 202693x their median

    ドパガキの対となる概念「セロトニンおじさん」好きすぎる https://t.co/rqnZtknt0l

    53K7.0K3432.3K7.6M viewsView on X
  • Jul 9, 202679x their median

    【ピングーの人気再燃 若年層も支持】 https://t.co/9Wf7MIQBWg

    39K9.2K4594.7K98M viewsView on X
  • Aug 23, 202648x their median

    이거 원곡 뭔지 아시는분 https://t.co/LSl4Mj4AoD

    27K5.3K3576810.0M viewsView on X
  • Jul 31, 2026

    雨の日に坂道で滑って コンクリートにお尻を強打して 尾てい骨を骨折しました🤕 あまりの痛さに耳が遠くなり意識朦朧としてきて 次に目を開けた時には 床に横たわっていて失神していました

    799874062K viewsView on X
  • Aug 7, 2026

    夏コミ欠席のお知らせ 先日骨折をしてしまい、療養のため安静に過ごすこととなり、夏コミへの参加を見送らせていただくことにしました。 当日お会いできることを楽しみにしてくださっていた皆さま、また、貴重なスペースをいただいていたにもかかわらず、このような報告となってしまい申し訳ございません。 また心身ともに万全な状態で、皆さまにお会いできる日を楽しみにしております。

    7112094047K viewsView on X
  • Aug 22, 2026

    おはよ〜(⊃ ॑꒳ ॑⊂)☀️

    657694122K viewsView on X
  • Aug 18, 2026

    おはよ〜(⊃ ॑꒳ ॑⊂)☀️

    6446101124K viewsView on X
  • Aug 25, 2026

    おはよ〜(⊃ ॑꒳ ॑⊂)☀️

    631689119K viewsView on X
  • Aug 20, 2026

    おはよ〜(⊃ ॑꒳ ॑⊂)☀️

    607394123K viewsView on X
  • Aug 24, 2026

    おはよ〜(⊃ ॑꒳ ॑⊂)☀️

    615483121K 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 676 interactions against 541K followers, an engagement rate of 0.125%. Measured over 20 original posts, its engagement rate beats 74% of 3,882 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 24K times each, and 2.79% of those impressions turn into an interaction. That is about 4.47% 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 57% of days. Most posts go out around 19:00 UTC, and Thursday is the busiest day of the week. Of the 20 posts sampled, 5% carry an image or video. The account's strongest tracked post pulled 63K interactions, about 93x its own typical post.

What is yutori🐹 9月コスホリ両日's engagement rate on X?
yutori🐹 9月コスホリ両日 (@milkis_drop) has an engagement rate of 0.125%, based on the median interactions across 20 original posts from the last 30 days against 540,916 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.125%, yutori🐹 9月コスホリ両日 sits above the 50th percentile of the 37,582 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 @milkis_drop have real engagement?
Its engagement rate beats 74% of the tracked X accounts closest to it in follower count (3,882 accounts), which puts it in the middle of its size range 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 @milkis_drop post?
Most posts go out around 19:00 UTC, and Thursday is its busiest day, at roughly 0.93 posts per day across the measured window.

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