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เ ว้ น ว ร ร ค ◦ soul in bloom ✿ engagement report

@madaisyy__ - 1.4M followers on X

Measured over 9 original posts from a 30-day window, last computed on August 20, 2026.

Engagement

Bottom quarter for its size
Per follower
0.001%
of 1.4M followers
Per impression
0.1%
16K views on a typical post
Reach
1.18%
of its followers see a post
Typical post
16
interactions (median)
Saved
0.019%
3 bookmarks on a typical post
Posting rate
0.7/day
active 27% of days
Peak time
15:00 UTC
Thursday

A typical post picks up 16 interactions against 1.4M followers, an engagement rate of 0.001%. Measured over 9 original posts, its engagement rate beats 13% of 983 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 16K times each, and 0.1% of those impressions turn into an interaction. That is about 1.18% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.7 post a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 15:00 UTC, and Thursday is the busiest day of the week. Of the 9 posts sampled, 78% carry an image or video and 11% link out. The account's strongest tracked post pulled 120K interactions, about 7502x its own typical post. Recurring topics include #peachandmeseriesfinalep, #mrkillseriesep4.

Measured over 9 original posts from a 30-day window, last computed on August 20, 2026. Recurring tags: #peachandmeseriesfinalep, #mrkillseriesep4.

Compared with accounts its own size

เ ว้ น ว ร ร ค ◦ soul in bloom ✿'s engagement rate beats 13% of the tracked X accounts closest to it in follower count (983 accounts, accounts of similar size (decile 6 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 7% 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 0.001%, เ ว้ น ว ร ร ค ◦ soul in bloom ✿ sits above the 10th percentile of the 9,668 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.006%.

p100.001%
p250.006%
p50 (median)0.046%
p750.318%
p902.67%
p99366.2%
Engagement rate as a share of followers, across the 9,668 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 457,772 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 percentile0.001%
25th percentile0.006%
50th percentile0.046%
75th percentile0.318%
90th percentile2.67%
99th percentile366.2%

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 15:00 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: 15:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 97%Busiest hour: 15:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC0%14K
01:00 UTC+3%15K
02:00 UTC-1%14K
03:00 UTC-2%15K
04:00 UTC-5%12K
05:00 UTC-4%12K
06:00 UTC-7%13K
07:00 UTC-6%14K
08:00 UTC-7%16K
09:00 UTC-2%19K
10:00 UTC-2%20K
11:00 UTC-2%22K
12:00 UTC-1%24K
13:00 UTC+1%27K
14:00 UTC-2%28K
15:00 UTC-1%30K
16:00 UTC-1%29K
17:00 UTC-1%28K
18:00 UTC+1%25K
19:00 UTC0%23K
20:00 UTC0%21K
21:00 UTC+1%19K
22:00 UTC+1%16K
23:00 UTC+1%15K
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 97%Busiest day: Thursday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+9%56K
Monday+8%72K
Tuesday+1%93K
Wednesday-4%77K
Thursday-3%70K
Friday-6%71K
Saturday+2%62K
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 video78% of posts+79%+73% to +84%5.7K
Outbound link11% of posts-49%-50% to -47%6.0K
Typical length-+12%+10% to +15%6.3K
  • 78% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 79% above the same accounts' other posts.
  • 11% of its posts carry a link off X. Across the catalog, posts with an outbound link run 49% below the same accounts' other posts.
  • Its average post runs 1019 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 12% above 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

  • Apr 21, 20267502x their median

    ไอเราก็นึกว่าพูดเล่น https://t.co/pO0Uabrla9

    76K40K1.9K2.6K3.3M viewsView on X
  • Jul 26, 20263006x their median

    แกรู้ป่ะถ้าพส.จีนแบนเกไทยนะจะเกิดอะไร -บัตรกดง่ายขึ้นเพราะบอทน้อยลง -เมิร์ชซื้อง่ายขึ้นเพราะคนขนซื้อน้อยลง -ราคารีเซลล์จะค่อยๆลดลงเพราะหาสินค้าได้ง่ายขึ้น -ตัวหารงานไซน์งานลักกี้น้อยลง -สุขภาพจมูกในงานต่างๆดีขึ้น But not all นะ พส.จีนที่ดีก็ยังพอมีแต่นี่ยังไม่เคยเจอ🥴

    20K28K4676612K viewsView on X
  • Aug 1, 20262516x their median

    มีน้ำตาจำนวนมาก จีบตอนเด็กแถมฟรีตอนโต ㅠ #PeachAndMeSeriesFinalEP https://t.co/iLMQoJTvM9

    24K15K66463195K viewsView on X
  • Oct 10, 20202013x their median

    ช อ บ ป ร ะ โ ย ค นี้ ม า ก . . เดี๋ยวปัจจุบัน ก็พาเราห่างจากอดีต . . ไปเรื่อยๆเอง . .

    12K19K92195View on X
  • Aug 18, 20261926x their median

    ช่วงนี้ยูทูปเป็นไรปะ เวลาดูคลิปจอเต็มพอกดออกจอตรงช่องคอมเม้นหายเฉย ทำไงก็ไม่กลับมาจนต้องกดลบคลิปที่ดูค้างไว้ละเข้าใหม่ถึงจะขึ้น ละชั้นชอบดูคลิปไปสักพักแล้วเปิดอ่านเม้นมาก แอบหงุดหงิด https://t.co/IKC5dtWlb1

    12K18K79531796K viewsView on X
  • Apr 21, 20261589x their median

    พบกับประสบการณ์ที่จะเปลี่ยนยามค่ำคืนอันมืดมิด ให้พร่างพราวไปด้วยประกายแสงแห่งล้านนาทั่วทั้งผืนแผ่นฟ้า กับ #TheZentricofLannaLegacy #ยี่เป็งมรดกแสงแห่งล้านนา ที่มาพร้อมกับนักแสดงซีรีส์ชื่อดัง 2 คู่ 📅24 - 25 พ.ย. 69 🎫 ซื้อบัตรวันเสาร์ที่: 9 พ.ค. 69 ⏰ 10.00 น. #LanternFestival https://t.co/ruX2wIJYQp

    13K11K2971.1K1.4M viewsView on X
  • Jun 27, 2026801x their median

    ((แอบชอบซีนที่ท่านพ่อมาเห็นภพทินนอนด้วยกัน ปกติซีนอะไรแบบนี้ชอบทำให้ลุ้นแล้วมันจะเครียดมากตอนดู แต่อันนี้คือเปิดมา ปึ้ง! รู้เลย มันผ่านจุดเครียดไปเร็วดี55555ไม่ต้องลุ้นว่าจะเปิดมาแล้วเซอไพส์ไหม แต่มันอยู่ในจุดที่ให้ได้คิดต่อแล้วว่าท่านพ่อจะจัดการยังไงหลังจากนี้แทน)) #อรุณรุ่งEP2 https://t.co/a5f2l3OGVl

    11K2.2K27341.5M viewsView on X
  • Dec 26, 2019434x their median

    อันนี้ความเชื่อส่วนบุคคลนะ เมื่อวานวันพระ เรามือลั่นไปโดนบทสวด คาถาเงินล้าน พี่สาวบอกบทนี้ดีมาก แต่ต้องทำบุญตักบาตรบ้างนะ อธิษฐานเอา เราก็คือแต่เปิดฟังวนๆไป+ไหว้พระ แต่งานกับเงินเข้ามาตลอดทั้งวัน มีเรียกไปสัมภาษณ์งาน มีคอนเฟิร์มงาน เหมาะกับการค้าขายมากๆ https://t.co/B141NvoDaj https://t.co/4nYJU2SABj

    2.9K4.1K1035View on X
  • Jul 15, 2026411x their median

    MAS QUE MERDA É ESSA? Esses atores acharam de bom tom usar um SINAL DE PEDIDO DE AJUDA como trend ou uma brincade? Isso pode até parecer algo inofensivo, mas esse gesto foi criado para uma situação muito séria: ajudar mulheres em situação de violência a pedir socorro sem precisar dizer uma palavra. Quando esse sinal vira trend ou meme, ele perde força. E o pior, um pedido de ajuda real pode acabar não sendo levado a sério. Espero que os fãs, especialmente as mulheres, desse atores se posicionem para que eles se conscientizem e parem com esse comportamento irresponsável e violento.

    4.6K1.3K1574984.9M viewsView on X
  • Jun 18, 2026356x their median

    ฝากpilotเรื่อง Unknown Lover #เขาชื่ออันวาร์series ด้วยครับ แว๊บไป color grade มา หวังว่าจะชอบกันนะ ผมชอบมู๊ดงานนี้มาก ได้กลับมาจับงานดมด.อีกทีหลังจาก Cutie Pie รู้สึกว่านานมาก😂 https://t.co/szQRig3blL

    2.7K3.0K422953K 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

#peachandmeseriesfinalep#mrkillseriesep4

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 16 interactions against 1.4M followers, an engagement rate of 0.001%. Measured over 9 original posts, its engagement rate beats 13% of 983 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 16K times each, and 0.1% of those impressions turn into an interaction. That is about 1.18% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.7 post a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 15:00 UTC, and Thursday is the busiest day of the week. Of the 9 posts sampled, 78% carry an image or video and 11% link out. The account's strongest tracked post pulled 120K interactions, about 7502x its own typical post. Recurring topics include #peachandmeseriesfinalep, #mrkillseriesep4.

What is เ ว้ น ว ร ร ค ◦ soul in bloom ✿'s engagement rate on X?
เ ว้ น ว ร ร ค ◦ soul in bloom ✿ (@madaisyy__) has an engagement rate of 0.001%, based on the median interactions across 9 original posts from the last 30 days against 1,362,277 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.001%, เ ว้ น ว ร ร ค ◦ soul in bloom ✿ sits above the 10th percentile of the 9,668 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 @madaisyy__ have real engagement?
Its engagement rate beats 13% of the tracked X accounts closest to it in follower count (983 accounts), which puts it in the bottom quarter 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 @madaisyy__ post?
Most posts go out around 15:00 UTC, and Thursday is its busiest day, at roughly 0.7 posts per day across the measured window.

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