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リト@葉っぱ切り絵 engagement report

@lito_leafart - 222K followers on X

Measured over 21 original posts from a 30-day window, last computed on October 2, 2026.

Engagement

Top 10% for its size
Per follower
4.82%
of 222K followers
Per impression
11.3%
94K views on a typical post
Reach
42.5%
of its followers see a post
Typical post
11K
interactions (median)
Saved
0.142%
134 bookmarks on a typical post
Posting rate
1.03/day
active 77% of days
Peak time
12:00 UTC
Saturday

A typical post picks up 11K interactions against 222K followers, an engagement rate of 4.82%. Measured over 21 original posts, its engagement rate beats 99% of 15,519 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 94K times each, and 11.3% of those impressions turn into an interaction. That is about 42.4% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1 post a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 12:00 UTC, and Saturday is the busiest day of the week. Of the 21 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 75K interactions, about 7.0x its own typical post. Recurring topics include #アニメコナン30周年, #カラオケまねきねこ, #キョロちゃんの日.

Measured over 21 original posts from a 30-day window, last computed on October 2, 2026. Recurring tags: #アニメコナン30周年, #カラオケまねきねこ, #キョロちゃんの日.

Compared with accounts its own size

リト@葉っぱ切り絵's engagement rate beats 99% of the tracked X accounts closest to it in follower count (15,519 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 98% 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 4.82%, リト@葉っぱ切り絵 sits above the 90th percentile of the 156,969 accounts in this comparison. That places it in the top 10% band, which runs 2.32% to 83.4%.

p100.003%
p250.022%
p50 (median)0.128%
p750.604%
p902.32%
p9983.4%
Engagement rate as a share of followers, across the 156,969 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 26,068 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 percentile0.003%
25th percentile0.022%
50th percentile0.128%
75th percentile0.604%
90th percentile2.32%
99th percentile83.4%

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 12:00 UTC, and Saturday 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: 12:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 12:00 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: Saturday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Saturday
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 video100% of posts+111%+108% to +115%34K
Outbound link5% of posts-41%-42% to -40%32K
Typical length--8%-9% to -7%41K
  • 100% 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.
  • 5% 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 71 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

  • Sep 13, 20267.0x their median

    「いつまでも絶えることなく、友達でいよう」 #映画ちいかわ https://t.co/SvGuh6cfYB

    67K7.8K952061.0M viewsView on X
  • Jul 17, 20262.5x their median

    「金鳥の夏、日本の夏」 #蚊取り線香 https://t.co/rGfr36nlgo

    24K2.8K12681292K viewsView on X
  • Sep 26, 20262.3x their median

    「江戸川コナン…探偵さ」 #アニメコナン30周年 https://t.co/dDztxjfiLY

    23K2.4K6561287K viewsView on X
  • Aug 15, 20262.2x their median

    「また来年、灯りといっしょにお見送り」 #灯籠流し https://t.co/K115pguvB0

    21K2.8K6253248K viewsView on X
  • Jul 5, 20262.0x their median

    「みんなのお願いごとが届きますように」 #フリーアイコンとしてご使用いただけます🍃 https://t.co/dKzuYpoeke

    19K2.7K9869263K viewsView on X
  • Aug 22, 20262.0x their median

    「月夜の晩に、オカリナ吹いてる」 #となりのトトロ https://t.co/wrvwjlitgZ

    19K2.0K7034206K viewsView on X
  • Jul 3, 20261.9x their median

    「涼しい夏の音色をお一つどうぞ」 #フリーアイコンとしてご使用いただけます🍃 https://t.co/byKhnx2hEO

    19K2.6K13165235K viewsView on X
  • Aug 10, 20261.8x their median

    「…もう目開けていい?」 今日8月10日は… #スヌーピーの日 https://t.co/UpL3fQVh2h

    17K2.0K6757204K viewsView on X
  • Jul 14, 20261.8x their median

    「毎日が、きっと誰かにとって特別な日」 ※今日は僕の誕生日でした🎂 https://t.co/OOCp2wBzic

    17K1.5K62849185K viewsView on X
  • Aug 2, 20261.7x their median

    「みんにゃの特等席、取っておいたよ」 #長岡花火 https://t.co/3JzyZDr1YL

    17K2.0K9334162K 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

#アニメコナン30周年#カラオケまねきねこ#キョロちゃんの日#コーヒーの日#バスの日

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 11K interactions against 222K followers, an engagement rate of 4.82%. Measured over 21 original posts, its engagement rate beats 99% of 15,519 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 94K times each, and 11.3% of those impressions turn into an interaction. That is about 42.4% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1 post a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 12:00 UTC, and Saturday is the busiest day of the week. Of the 21 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 75K interactions, about 7.0x its own typical post. Recurring topics include #アニメコナン30周年, #カラオケまねきねこ, #キョロちゃんの日.

What is リト@葉っぱ切り絵's engagement rate on X?
リト@葉っぱ切り絵 (@lito_leafart) has an engagement rate of 4.82%, based on the median interactions across 21 original posts from the last 30 days against 222,474 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 4.82%, リト@葉っぱ切り絵 sits above the 90th percentile of the 156,969 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 @lito_leafart have real engagement?
Its engagement rate beats 99% of the tracked X accounts closest to it in follower count (15,519 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 @lito_leafart post?
Most posts go out around 12:00 UTC, and Saturday is its busiest day, at roughly 1.03 posts per day across the measured window.

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