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MAYA YOSHIDA engagement report

@MayaYoshida3 - 654K followers on X

Measured over 2 original posts from a 30-day window, last computed on October 5, 2026.

Engagement

Per follower
0.283%
of 654K followers
Per impression
0.571%
325K views on a typical post
Reach
49.6%
of its followers see a post
Typical post
1.9K
interactions (median)
Saved
0.01%
32 bookmarks on a typical post
Posting rate
0.07/day
active 7% of days
Peak time
06:00 UTC
Monday

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 1.9K interactions against 654K followers, an engagement rate of 0.283%. Posts are seen about 325K times each, and 0.571% of those impressions turn into an interaction. That is about 49.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.07 posts a day over the last 30 days, though only 7% of days saw any activity at all. Most posts go out around 06:00 UTC, and Monday is the busiest day of the week. Of the 2 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 50K interactions, about 27x its own typical post. Recurring topics include #mechanicalwonders, #parmigianifleurier. 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 October 5, 2026. Recurring tags: #mechanicalwonders, #parmigianifleurier.

Where this sits in the catalog

At 0.283%, MAYA YOSHIDA sits above the 50th percentile of the 212,741 accounts in this comparison. That places it in the above the median band, which runs 0.146% to 0.697%.

p100.004%
p250.025%
p50 (median)0.146%
p750.697%
p902.61%
p9982.8%
Engagement rate as a share of followers, across the 212,741 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,375 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 percentile0.697%
90th percentile2.61%
99th percentile82.8%

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 06:00 UTC, and Monday 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: 06:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 06:00 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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
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 link0% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 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.
  • 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 120 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% 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

  • Jul 2, 202627x their median

    1ใƒถๆœˆใ€ๆœ€้ซ˜ใชใƒใƒผใƒ ใจๅ…ฑใซๆˆฆใˆใฆๅฟƒใ‹ใ‚‰ใ‚ตใƒƒใ‚ซใƒผใ‚’ใ€ใใ—ใฆใƒฏใƒผใƒซใƒ‰ใ‚ซใƒƒใƒ—ใ‚’ๆฅฝใ—ใพใ›ใฆใ„ใŸใ ใใพใ—ใŸใ€‚ๆœฌๅฝ“ใซใ‚ใ‚ŠใŒใจใ†ใ”ใ–ใ„ใพใ—ใŸ๏ผ ใ“ใ“ใ‹ใ‚‰ๆ›ดใซๆ—ฅๆœฌไปฃ่กจใŒๅผทใใชใ‚‹ใŸใ‚ใซใ€ใฟใ‚“ใชใงๅผ•ใ็ถšใๅ…ฑ้—˜ใ—ใฆ่กŒใใพใ—ใ‚‡ใ†๏ผใ‚ˆใ‚ใ—ใใŠ้ก˜ใ„ใ—ใพใ™๏ผ https://t.co/h44oInLMhi

    47K2.2K18331533K viewsView on X
  • Jun 3, 202619x their median

    ๆ–‡็ซ ใ ใ‘ใงใฏใ“ใฎๆ„Ÿ่ฌใฎๆฐ—ๆŒใกใ‚’่กจ็พใ—ใใ‚Œใชใ„ใงใ™ใ€‚ ใ“ใ‚Œใ‹ใ‚‰ใ‚‚ๆ—ฅๆœฌใ‚ตใƒƒใ‚ซใƒผใซใ“ใฎๆ„Ÿ่ฌใฎๆฐ—ๆŒใกใ‚’้‚„ๅ…ƒใ—ใฆใ„ใใŸใ„ใงใ™ใ€‚ใฟใ‚“ใชใ€ใปใ‚“ใฃใฃใฃใฃใจใ†ใซใ‚ใ‚ŠใŒใจใ†๐Ÿ‡ฏ๐Ÿ‡ต ใใ—ใฆ้ ‘ๅผตใ‚Œๆ—ฅๆœฌไปฃ่กจใŸใก๏ผ#ๆœ€้ซ˜ใฎๆ™ฏ่‰ฒใ‚’ https://t.co/eXvk1hD0oS

    33K2.2K19772952K viewsView on X
  • Jun 26, 202616x their median

    5ๅคงไผš้€ฃ็ถšWๆฏๅ‡บๅ ด ๐Ÿ‡ฏ๐Ÿ‡ต๐Ÿ‘ #FIFAWorldCup https://t.co/CvDBVdSInZ

    28K1.5K10180759K viewsView on X
  • May 28, 202613x their median

    ๆฅฝใ—ใ™ใŽใ‚‹ใ€‚ๆœ€้ซ˜ใ ใ€‚ https://t.co/M5DWA9XTkh

    22K9349888660K viewsView on X
  • Jun 27, 202611x their median

    5th World Cupโ€ฆ big respect๐Ÿ‘๐Ÿผใ—ใถใจใ™ใŽใ‚‹็”ทใ€‚ใ‚ซใƒƒใ‚ฑใƒผใฃใ™ใ€‚#mammamia https://t.co/FGWBMSqTPd

    18K9127820522K viewsView on X
  • Jun 14, 20269.8x their median

    Letโ€™s go Japan as ONE๐Ÿ‡ฏ๐Ÿ‡ต https://t.co/TQXWLEEcQQ

    17K94510029341K viewsView on X
  • Dec 11, 202510x their median

    ้ ‘ๅผตใ‚Œใ€็Ž–็”Ÿ๏ผ่ฒ ใ‘ใ‚‹ใช็Ž–็”Ÿ๏ผ https://t.co/hY82P6u34G

    17K52488581.9M viewsView on X
  • Jun 18, 20266.8x their median

    Honor to be part of this group๐Ÿ‡ฏ๐Ÿ‡ต Fans were amazing in Dallas!๐Ÿ‡บ๐Ÿ‡ธ Monterrey here we come!๐Ÿ‡ฒ๐Ÿ‡ฝ https://t.co/u8tpFbRkzW

    12K6465510268K viewsView on X
  • May 30, 20265.2x their median

    ๐Ÿ‡ฏ๐Ÿ‡ต https://t.co/ThCamH7Rmo

    9.3K3044615147K viewsView on X
  • May 25, 20263.4x their median

    So happy to be back @jfa_samuraiblue ๐Ÿ‡ฏ๐Ÿ‡ต https://t.co/6WlIqx4kJn

    5.8K4073517154K 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

#mechanicalwonders#parmigianifleurier

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 1.9K interactions against 654K followers, an engagement rate of 0.283%. Posts are seen about 325K times each, and 0.571% of those impressions turn into an interaction. That is about 49.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.07 posts a day over the last 30 days, though only 7% of days saw any activity at all. Most posts go out around 06:00 UTC, and Monday is the busiest day of the week. Of the 2 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 50K interactions, about 27x its own typical post. Recurring topics include #mechanicalwonders, #parmigianifleurier. 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 MAYA YOSHIDA's engagement rate on X?
MAYA YOSHIDA (@MayaYoshida3) has an engagement rate of 0.283%, based on the median interactions across 2 original posts from the last 30 days against 654,485 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.283%, MAYA YOSHIDA sits above the 50th percentile of the 212,741 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 @MayaYoshida3 have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @MayaYoshida3 post?
Most posts go out around 06:00 UTC, and Monday is its busiest day, at roughly 0.07 posts per day across the measured window.

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