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Kiw_kangball X.2 engagement report

@KangballKew - 91K followers on X

Measured over 11 original posts from a 30-day window, last computed on September 22, 2026.

Engagement

Top quarter for its size
Per follower
0.428%
of 91K followers
Per impression
7.36%
5.3K views on a typical post
Reach
5.82%
of its followers see a post
Typical post
389
interactions (median)
Saved
0.435%
23 bookmarks on a typical post
Posting rate
0.4/day
active 13% of days
Peak time
02:00 UTC
Tuesday

A typical post picks up 389 interactions against 91K followers, an engagement rate of 0.428%. Measured over 11 original posts, its engagement rate beats 77% of 19,933 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 5.3K times each, and 7.36% of those impressions turn into an interaction. That is about 5.82% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.4 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 02:00 UTC, and Tuesday is the busiest day of the week. Of the 11 posts sampled, 91% carry an image or video. The account's strongest tracked post pulled 17K interactions, about 43x its own typical post.

Measured over 11 original posts from a 30-day window, last computed on September 22, 2026. Recurring tag: #ลาดพร้าว.

Compared with accounts its own size

Kiw_kangball X.2's engagement rate beats 77% of the tracked X accounts closest to it in follower count (19,933 accounts, accounts of similar size (decile 7 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 93% 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 0.428%, Kiw_kangball X.2 sits above the 50th percentile of the 201,130 accounts in this comparison. That places it in the above the median band, which runs 0.141% to 0.671%.

p100.004%
p250.024%
p50 (median)0.141%
p750.671%
p902.53%
p9982.4%
Engagement rate as a share of followers, across the 201,130 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,900 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 percentile0.024%
50th percentile0.141%
75th percentile0.671%
90th percentile2.53%
99th percentile82.4%

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 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 video91% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--8%-9% to -7%41K
  • 91% 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 45 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

  • Feb 28, 202343x their median

    หิวน้ำไหมครับพี่ ถ้าหิวก็กล้มลงมากินสิครับ https://t.co/pfYfeNoN0P

    12K4.8K261291.8M viewsView on X
  • Aug 23, 202611x their median

    ช่วยด้วยครับ ผมโดนเยส https://t.co/UwJar68ugM

    3.4K94030158K viewsView on X
  • Aug 26, 20267.1x their median

    โดนเยสอีกแล้ว งื้อเสียว https://t.co/ZRpij9e098

    2.2K52214235K viewsView on X
  • Jul 1, 20266.7x their median

    มีคนบอกว่าชอบเห็นผมเป็นรับ มันเสียว ผมก็เสียวจริงครับ https://t.co/y8KsCbB1Zf

    2.0K55315251K viewsView on X
  • Jul 6, 20263.9x their median

    เย็ดโชว์ไปเลย ด้านข้างมีคนว่าวตาม 3 คน ตอนออกไปเยสกลางถนนลืมถ่ายไว้ https://t.co/HON3XwmX6K

    1.2K31210033K viewsView on X
  • Aug 24, 20263.4x their median

    พรุ่งนี้เจอกันที่ กทม ครับ https://t.co/WveFae6heP

    1.1K2136221K viewsView on X
  • Aug 18, 20263.3x their median

    ไปกรุงเทพ 25 สิงหาคม ถึง 2 กันยายน สนใจลงคิวทักได้นะครับ https://t.co/wPEvysEzdI

    1.1K13911119K viewsView on X
  • Aug 15, 20261.8x their median

    ไปกรุงเทพ 25 สิงหาคม ถึง 2 กันยายน สนใจลงคิวทักได้นะครับ https://t.co/qcq2ajOLqP

    6021009013K viewsView on X
  • Aug 24, 20261.5x their median

    สวัสดีครับ กรุงเทพฯ 25-2 ทักได้ครับ https://t.co/cKzf6V5q3Y

    556291307.3K viewsView on X
  • Jul 3, 20261.5x their median

    ขอดูดควยหน่อยนะครับพี่ https://t.co/IBvBKmlSnk

    512851023K 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

#ลาดพร้าว

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 389 interactions against 91K followers, an engagement rate of 0.428%. Measured over 11 original posts, its engagement rate beats 77% of 19,933 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 5.3K times each, and 7.36% of those impressions turn into an interaction. That is about 5.82% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.4 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 02:00 UTC, and Tuesday is the busiest day of the week. Of the 11 posts sampled, 91% carry an image or video. The account's strongest tracked post pulled 17K interactions, about 43x its own typical post.

What is Kiw_kangball X.2's engagement rate on X?
Kiw_kangball X.2 (@KangballKew) has an engagement rate of 0.428%, based on the median interactions across 11 original posts from the last 30 days against 90,837 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.428%, Kiw_kangball X.2 sits above the 50th percentile of the 201,130 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 @KangballKew have real engagement?
Its engagement rate beats 77% of the tracked X accounts closest to it in follower count (19,933 accounts), which puts it in the top 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 @KangballKew post?
Most posts go out around 02:00 UTC, and Tuesday is its busiest day, at roughly 0.4 posts per day across the measured window.

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