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iannnnn  engagement report

@iannnnn - 820K followers on X

Measured over 45 original posts from a 30-day window, last computed on August 31, 2026.

Engagement

Middle of its size range
Per follower
0.021%
of 820K followers
Per impression
0.696%
25K views on a typical post
Reach
3.05%
of its followers see a post
Typical post
174
interactions (median)
Saved
0.044%
11 bookmarks on a typical post
Posting rate
4.07/day
active 33% of days
Peak time
06:00 UTC
Sunday

A typical post picks up 174 interactions against 820K followers, an engagement rate of 0.021%. Measured over 45 original posts, its engagement rate beats 46% of 3,862 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 25K times each, and 0.696% of those impressions turn into an interaction. That is about 3.05% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.1 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 06:00 UTC, and Sunday is the busiest day of the week. Of the 45 posts sampled, 80% carry an image or video and 27% link out. The account's strongest tracked post pulled 53K interactions, about 305x its own typical post. Recurring topics include #endcutcomics, #มติชนออนไลน์, #สั่งฟ้องสว.

Measured over 45 original posts from a 30-day window, last computed on August 31, 2026. Recurring tags: #endcutcomics, #มติชนออนไลน์, #สั่งฟ้องสว.

Compared with accounts its own size

iannnnn 's engagement rate beats 46% of the tracked X accounts closest to it in follower count (3,862 accounts, accounts of similar size (decile 9 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 41% 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 0.021%, iannnnn  sits above the 25th percentile of the 37,582 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.081%.

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 06:00 UTC, and Sunday 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 6%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%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: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Sunday
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

  • Aug 22, 2026305x their median

    Alibaba's AliExpress was caught using users' audio systems to track them. AliExpress wasn't recording users but instead playing a silent sound and measuring how users' specific devices processed it in order to fingerprint them. But don't worry because Brave stops this.

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  • Aug 20, 2026122x their median

    กูเชื่อละว่าเด็กเจนนี้เป็นยังไง ชื่อก็มีเรียก สรรพนามอื่นก็มีเรียก เริ่ดเกินแก เพิ่งเจอกับตัวเอง https://t.co/TU9g38g7nl

    7.8K13K992941.6M viewsView on X
  • Aug 29, 202698x their median

    What’s up with peoples survival instincts nowadays? Like is there any explanation for this? https://t.co/T5QhK9TOdH

    15K1.1K7081295.2M viewsView on X
  • Aug 28, 202695x their median

    Her nefis ölümü tadacaktır... https://t.co/fk2ajDXYSo

    13K2.4K7652253.3M viewsView on X
  • Aug 21, 202690x their median

    คลิป Spin9 แค่ไม่ถึง 9 นาทีนี่สั้นมากแล้วนะครับ https://t.co/JiC7VKcdjb

    6.8K8.9K3554590K viewsView on X
  • Aug 30, 202675x their median

    มีคนพาแขกบ้าน แขกเมืองมาดู งานปฏิมกรรมที่จัดแสดงอยู่ สรุป เป็นโฟม ทากาวโรยด้วยทราย แบบ วอดส์??? คือคนไทยเก่งนะเรื่องนี้อะ ทำไมไม่สนับสนุน แล้วโฟมเป็นพลมิษมากนะ แล้วจัดอยู่ริมทะเล มีคอมเม้นบอก ขนาดนายกยังปลอม นับอะไรกับปราสาททรายตะมุตะมิ 55555 https://t.co/cLj72HcUkP

    5.1K7.7K711992.2M viewsView on X
  • Aug 30, 202627x their median

    มันมีคนปกติบ้างมั๊ยยุคนี้ ล่าสุดมีคนออกมาอ้างว่าเพิ่งได้มีโอกาสเดินแบบครั้งแรก ขอบคุณตัวเองที่กล้าออกมาทำอะไรแบบนี้ - ชาวเน็ตจับโป๊ะได้ว่ามันคือการตัดต่อหน้าตัวเองลงไป - มีการแก้วันที่ในป้ายชื่อโมเดลเป็น 29 MAY แต่เจ้าตัวไม่รู้ว่าจริงๆมันคือชื่อแบรนด์ 27 NOV ไม่ใช่วันที่เดินแบบ 55555555

    1.6K3.0K16662.0M viewsView on X
  • Aug 21, 202624x their median

    ใครเคยกินบ้าง เจ้าของแบรนด์ไอศกรีมของคนไทย ฮาเวลส์ประกาศหาคนมารับช่วงต่อกิจการแบบเหมาหมดในราคา 165 ล้านบาท (ได้ครบทั้งที่ดิน 7 ไร่ โรงงาน แบรนด์ และสูตรไอศกรีมทั้งหมด) ส่วนสาเหตุที่ขายเพราะเจ้าของตั้งใจว่าในอีก 2 ปีข้างหน้า จะสละทางโลกไปบวชเป็นพระป่าแบบตัดขาดจากทุกคนตลอดชีวิต ส่วนครอบครัวก็จะมุ่งหน้าปฏิบัติธรรมอย่างเดียว เลยไม่มีเวลาทำธุรกิจต่อและอยากส่งมอบร้านให้คนที่รักไอศกรีมเอาไปลุยต่อ เนื้อหาโพสต์ยาวมากๆ อ่านจบแล้วยิ่งกว่าละครเลย https://t.co/wOKqr8qEB8 #Hawells #ไอศกรีมฮาเวลส์

    1.5K2.5K241421.4M viewsView on X
  • Aug 28, 202621x their median

    นี่คือสิ่งที่เกิดขึ้นเวลาได้นั่งเครื่องบินลำเดียวกับไอดอล … https://t.co/s79ECPNCQO

    1.2K2.3K891349K viewsView on X
  • Oct 7, 202316x their median

    ไม่รู้ลงตอนนี้จะมีใครเห็นไหม แต่เปิดพื้นที่ให้สายผลิตสายไทโป ออกแบบฟอนต์มาขายงานกันได้นะคะ พอดีตามหาคนออกแบบไทโปชื่อเรื่องด้วยค่ะ เย้ๆ🥺🥺

    1.2K1.5K31615.2M 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

#endcutcomics#มติชนออนไลน์#สั่งฟ้องสว#เล่นกีฬาหน้ากตต#โกงเลือกสว

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.

Buy or sell X accounts - escrow-protected

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Reading these numbers

A typical post picks up 174 interactions against 820K followers, an engagement rate of 0.021%. Measured over 45 original posts, its engagement rate beats 46% of 3,862 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 25K times each, and 0.696% of those impressions turn into an interaction. That is about 3.05% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.1 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 06:00 UTC, and Sunday is the busiest day of the week. Of the 45 posts sampled, 80% carry an image or video and 27% link out. The account's strongest tracked post pulled 53K interactions, about 305x its own typical post. Recurring topics include #endcutcomics, #มติชนออนไลน์, #สั่งฟ้องสว.

What is iannnnn 's engagement rate on X?
iannnnn  (@iannnnn) has an engagement rate of 0.021%, based on the median interactions across 45 original posts from the last 30 days against 820,206 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.021%, iannnnn  sits above the 25th 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 @iannnnn have real engagement?
Its engagement rate beats 46% of the tracked X accounts closest to it in follower count (3,862 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 @iannnnn post?
Most posts go out around 06:00 UTC, and Sunday is its busiest day, at roughly 4.07 posts per day across the measured window.

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