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๐Š๐”๐‘๐ˆ๐„๐Œ๐ˆ/ใใ‚Šใˆใฟ engagement report

@kurita__emi - 659K followers on X

Measured over 14 original posts from a 30-day window, last computed on October 4, 2026.

Engagement

Middle of its size range
Per follower
0.039%
of 659K followers
Per impression
0.478%
55K views on a typical post
Reach
8.22%
of its followers see a post
Typical post
261
interactions (median)
Saved
0.013%
7 bookmarks on a typical post
Posting rate
2.23/day
active 67% of days
Peak time
02:00 UTC
Tuesday

A typical post picks up 261 interactions against 659K followers, an engagement rate of 0.039%. Measured over 14 original posts, its engagement rate beats 55% of 21,185 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 55K times each, and 0.478% of those impressions turn into an interaction. That is about 8.29% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 02:00 UTC, and Tuesday is the busiest day of the week. Of the 14 posts sampled, 71% carry an image or video and 36% link out. The account's strongest tracked post pulled 69K interactions, about 265x its own typical post. Recurring topics include #ใƒญใƒœใ‚ซใƒ‹, #airpods5, #apple.

Measured over 14 original posts from a 30-day window, last computed on October 4, 2026. Recurring tags: #ใƒญใƒœใ‚ซใƒ‹, #airpods5, #apple.

Compared with accounts its own size

๐Š๐”๐‘๐ˆ๐„๐Œ๐ˆ/ใใ‚Šใˆใฟ's engagement rate beats 55% of the tracked X accounts closest to it in follower count (21,185 accounts, accounts of similar size (decile 10 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 29% 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 0.039%, ๐Š๐”๐‘๐ˆ๐„๐Œ๐ˆ/ใใ‚Šใˆใฟ sits above the 25th percentile of the 212,146 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.146%.

p100.004%
p250.025%
p50 (median)0.146%
p750.694%
p902.61%
p9983.1%
Engagement rate as a share of followers, across the 212,146 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,455 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 percentile0.146%
75th percentile0.694%
90th percentile2.61%
99th percentile83.1%

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 02:00 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: 02:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 02:00 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 video71% of posts+111%+108% to +115%34K
Outbound link36% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 71% 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.
  • 36% 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 249 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

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 10, 2026265x their median

    ใ€่กๆ’ƒใ€‘ ๆœ‰ๅYouTuberใฎIShowSpeedใ€AirPods 5ใฎใƒชใ‚ขใƒซใ‚ฟใ‚คใƒ ็ฟป่จณใ‚’ไฝ“้จ“ ๆ—ฅๆœฌ่ชžโ†’่‹ฑ่ชžใ‚’ๆ•ฐ็ง’ใง็ฟป่จณ โ†“ ใปใผใ‚ฟใ‚คใƒ ใƒฉใ‚ฐใชใ—ใงไผš่ฉฑๆˆ็ซ‹ AirPodsใ€ใคใ„ใซใ€Œ้€š่จณใ€ใพใงใ‚„ใ‚Šๅง‹ใ‚ใŸใฎใƒคใƒใ™ใŽใ‚‹ใ€‚ #iShowSpeed #AirPods5 #Apple #ใƒชใ‚ขใƒซใ‚ฟใ‚คใƒ ็ฟป่จณ #ๆตทๅค–YouTuber https://t.co/QtbOYLANC4

    65K3.6K1678427.6M viewsView on X
  • Sep 1, 202632x their median

    ใ€้€Ÿๅ ฑใ€‘ใƒ€ใ‚คใ‚ฝใƒณใ€AIใŒ่‡ชๅ‹•ใงใƒ•ใƒญใ‚นใ™ใ‚‹ๆญฏใƒ–ใƒฉใ‚ทใ‚’็™บ่กจ ใƒป47ไธ‡ๆžšใฎๆญฏ็ง‘็”ปๅƒใงAIใ‚’่จ“็ทด ใƒป10ไธ‡็”ป็ด ใ‚ซใƒกใƒฉใŒๆฏŽ็ง’28ๆžšใ‚’่งฃๆžใ€0.1็ง’ใงๆญฏ้–“ใ‚’ๆคœ็Ÿฅ ใƒปใƒžใ‚ฆใ‚นใƒชใƒณใ‚นใ‚’่‡ชๅ‹•ๅ™ดๅฐ„ใ€็ฑณๅ›ฝไพกๆ ผ499ใƒ‰ใƒซ https://t.co/UXOx7hlAyM

    7.0K679527095.3M viewsView on X
  • Oct 3, 202622x their median

    ไบบ็”Ÿๅˆใ‚ใฆใƒญใ‚นใƒใ‚ฒใ—ใŸใ‘ใฉใชใ‚“ใจใ‹็”Ÿใใฆใพใ™ https://t.co/nFmYVgidXh

    5.5K154436170K viewsView on X
  • Aug 17, 202621x their median

    Good morning https://t.co/jXA2REgibj

    5.1K196102195K viewsView on X
  • Aug 26, 202620x their median

    ใŠใฏใ‚ˆใ†ใ”ใ–ใ„ใพใ™ https://t.co/RG9NVPjv6X

    4.9K20578284K viewsView on X
  • Feb 1, 20269.1x their median

    https://t.co/psdMWFhTc2

    2.8K17416281.2M viewsView on X
  • Oct 3, 202610x their median

    3.5 million people have protested in France & 800K alone demonstrated in Paris against the decision of a one man in a democratic country. This is what you call fight for democracy. https://t.co/y6kCfKcnDF

    2.2K3477119282K viewsView on X
  • Aug 11, 20265.4x their median

    ใƒป ใ€ใŠ็Ÿฅใ‚‰ใ›๐Ÿ“ขใ€‘ 8ๆœˆ29ๆ—ฅ(ๅœŸ) ใใ‚ŠใˆใฟAI FILMใ‚ณใƒณใƒ†ใ‚นใƒˆใซ็ถšใๆ–ฐ่ฆAI FILMใ‚ณใƒณใƒ†ใ‚นใƒˆใฎ้–‹ๅน•็ฅญใ‚’้–‹ๅ‚ฌใ—ใพใ™โ€ฆโ€ฆ!!!!๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ†๐Ÿ† (่ฉณ็ดฐใฏ17ๆ—ฅใซๅ„ใƒกใƒ‡ใ‚ฃใ‚ขใง็™บ่กจใ•ใ‚Œใ‚‹ใ‚ˆ) ๅ ดๆ‰€ใฏใชใ‚“ใจๆฑไบฌ่—่ก“ๅคงๅญฆใงใ™โ€ฆโ€ฆ!!!! ใฟใชใ•ใ‚“ใœใฒ่ฉณ็ดฐๆƒ…ๅ ฑใ‚’ใŠๅพ…ใกใใ ใ•ใ„โ€ฆโ€ฆโ€ฆ!!!!! ใ€Šใ‚คใƒ™ใƒณใƒˆ็„กๆ–™ใ ใ‚ˆใ€‹ https://t.co/b5uu64Tp4y #AIใ‚ณใƒณใƒ†ใ‚นใƒˆ

    1.3K1071425272K viewsView on X
  • Sep 26, 20265.3x their median

    Relentless rainstorms have triggered severe flooding across Bangkok, with heavy rainfall expected to persist through the weekend. #เธ™เน‰เธณเธ—เนˆเธงเธก #Bangkok https://t.co/YnZnhjyvgv

    9822982477310K viewsView on X
  • Aug 17, 20263.3x their median

    ใƒป ๏ผผ๏ผผ ๆ–ฐใ‚ณใƒณใƒ†ใ‚นใƒˆๅง‹ๅ‹•๏ผ๏ผ ใ€ใƒญใƒœใƒƒใƒˆใ‚ซใƒผใƒ‹ใƒใƒซใ€‘ AIใƒ•ใ‚ฃใƒซใƒ ใ‚ณใƒณใƒ†ใ‚นใƒˆใ‚’้–‹ๅ‚ฌใ—ใพใ™โ€ฆโ€ฆ!!!!.๐Ÿค–๐ŸŽ‰ AIร—ใƒญใƒœใƒ†ใ‚ฃใ‚ฏใ‚นร—IPใ‚’ใƒ†ใƒผใƒžใซ ไบบ้กžใจใฎๅ…ฑ็”Ÿใฎๆœชๆฅๅƒใ‚’ๆใ„ใŸ AIใƒ•ใ‚ฃใƒซใƒ ใ‚’ๅคงๅ‹Ÿ้›†ใ—ใพใ™โ€ฆโ€ฆ!!!!!โค๏ธโ€๐Ÿ”ฅ๐Ÿ”ฅ ใ€Šไฝœๅ“ๅฟœๅ‹Ÿ้–‹ๅง‹ใฏ8ๆœˆ29ๆ—ฅใ€œ!!!!!ใ€‹ ใ€HPใ€‘ https://t.co/95NM5dkryL #ใƒญใƒœใ‚ซใƒ‹ #RobotCarnival #ๆ‹กๆ•ฃๅธŒๆœ›

    681108758437K 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

#ใƒญใƒœใ‚ซใƒ‹#airpods5#apple#bangkok#ishowspeed

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 261 interactions against 659K followers, an engagement rate of 0.039%. Measured over 14 original posts, its engagement rate beats 55% of 21,185 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 55K times each, and 0.478% of those impressions turn into an interaction. That is about 8.29% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 02:00 UTC, and Tuesday is the busiest day of the week. Of the 14 posts sampled, 71% carry an image or video and 36% link out. The account's strongest tracked post pulled 69K interactions, about 265x its own typical post. Recurring topics include #ใƒญใƒœใ‚ซใƒ‹, #airpods5, #apple.

What is ๐Š๐”๐‘๐ˆ๐„๐Œ๐ˆ/ใใ‚Šใˆใฟ's engagement rate on X?
๐Š๐”๐‘๐ˆ๐„๐Œ๐ˆ/ใใ‚Šใˆใฟ (@kurita__emi) has an engagement rate of 0.039%, based on the median interactions across 14 original posts from the last 30 days against 658,946 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.039%, ๐Š๐”๐‘๐ˆ๐„๐Œ๐ˆ/ใใ‚Šใˆใฟ sits above the 25th percentile of the 212,146 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 @kurita__emi have real engagement?
Its engagement rate beats 55% of the tracked X accounts closest to it in follower count (21,185 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 @kurita__emi post?
Most posts go out around 02:00 UTC, and Tuesday is its busiest day, at roughly 2.23 posts per day across the measured window.

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