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ぱやぱやくん engagement report

@paya_paya_kun - 329K followers on X

Measured over 67 original posts from a 30-day window, last computed on October 13, 2026.

Engagement

Top 10% for its size
Per follower
0.903%
of 329K followers
Per impression
5.97%
50K views on a typical post
Reach
15.1%
of its followers see a post
Typical post
3.0K
interactions (median)
Saved
0.215%
107 bookmarks on a typical post
Posting rate
2.77/day
active 43% of days
Peak time
09:00 UTC
Tuesday

A typical post picks up 3.0K interactions against 329K followers, an engagement rate of 0.903%. Measured over 67 original posts, its engagement rate beats 92% of 20,444 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 50K times each, and 5.97% of those impressions turn into an interaction. That is about 15.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.8 posts a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 09:00 UTC, and Tuesday is the busiest day of the week. Of the 67 posts sampled, 21% carry an image or video. The account's strongest tracked post pulled 487K interactions, about 142x its own typical post. Recurring topics include #ライター, #booth_pm, #パチプロ.

Measured over 67 original posts from a 30-day window, last computed on October 13, 2026. Recurring tags: #ライター, #booth_pm, #パチプロ.

Compared with accounts its own size

ぱやぱやくん's engagement rate beats 92% of the tracked X accounts closest to it in follower count (20,444 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 90% 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 0.903%, ぱやぱやくん sits above the 75th percentile of the 205,374 accounts in this comparison. That places it in the top 25% band, which runs 0.678% to 2.55%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,374 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,897 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 percentile0.143%
75th percentile0.678%
90th percentile2.55%
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 09:00 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: 09:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 09:00 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 video21% of posts+111%+108% to +115%34K
Outbound link3% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 21% 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.
  • 3% 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 98 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

  • Sep 2, 2025142x their median

    🎃 https://t.co/HHFip5UL8F

    414K69K6744.1K18M viewsView on X
  • Aug 25, 202632x their median

    鬱の薬って、1年でこれがこうなるから怖いよね https://t.co/NT8SgZHhdz

    84K5.0K6365.7K60M viewsView on X
  • Aug 28, 202624x their median

    【NHKニュース速報 14:02】 インフルエンザ 全国的な流行入りと発表 8月の発表は異例の早さ 厚生労働省

    48K20K04.0K9.3M viewsView on X
  • Sep 12, 202617x their median

    【悲報】 堀大輔24時間生配信4日経過後の起床直後。明らかに挙動が変わる。 https://t.co/0nhciNQz0n

    45K1.9K1.3K1.6K32M viewsView on X
  • Aug 31, 202616x their median

    9月は素敵で最高な月になる 9月は素敵で最高な月になる 9月は素敵で最高な月になる 9月は素敵で最高な月になる 9月は素敵で最高な月になる 9月は素敵で最高な月になる 9月は素敵で最高な月になる

    45K3.3K60204712K viewsView on X
  • Aug 29, 202615x their median

    おめでとうございます。この投稿を見た人には、これからいいことが起こります。うれしい連絡が届いたり、思いがけず願いが叶ったり、毎日がちょっと楽しくなったりします。しあわせになってください。

    41K4.2K165171684K viewsView on X
  • Oct 4, 202612x their median

    個人的には「もう働く必要はないぐらい資産はあるけど、ずっと家にいてもひまだから働いている人」が一番羨ましいです。

    34K1.5K106170499K viewsView on X
  • Oct 9, 20267.7x their median

    「行きたいな」と思った場所には、1人でさっさと行ってください。水族館、離島、美術館、温泉、映画館、古本屋、喫茶店、知らない町、ずっと気になっていた店。一緒に行ってくれる人を待ってると、それだけで人生が終わってしまうから。

    20K2.2K64177469K viewsView on X
  • Oct 8, 20267.6x their median

    あ、引いちゃったね。 この投稿が流れてきた人は、 これから幸せになるしかありません。 よかったね。おめでとう。

    22K6344848235K viewsView on X
  • Oct 8, 20267.6x their median

    いつもおしゃれをしてください。 ちょっと変わった人でいてください。 たくさん好きな本を読んでください。 誰にもわかってもらえなくても、 あまり気にしないでください。 自分のことを好きなあなたでいてください。

    20K2.4K4487357K 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

#ライター#booth_pm#パチプロ#ビアガーデン#中学

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 3.0K interactions against 329K followers, an engagement rate of 0.903%. Measured over 67 original posts, its engagement rate beats 92% of 20,444 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 50K times each, and 5.97% of those impressions turn into an interaction. That is about 15.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.8 posts a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 09:00 UTC, and Tuesday is the busiest day of the week. Of the 67 posts sampled, 21% carry an image or video. The account's strongest tracked post pulled 487K interactions, about 142x its own typical post. Recurring topics include #ライター, #booth_pm, #パチプロ.

What is ぱやぱやくん's engagement rate on X?
ぱやぱやくん (@paya_paya_kun) has an engagement rate of 0.903%, based on the median interactions across 67 original posts from the last 30 days against 329,276 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.903%, ぱやぱやくん sits above the 75th percentile of the 205,374 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 @paya_paya_kun have real engagement?
Its engagement rate beats 92% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the top 10% 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 @paya_paya_kun post?
Most posts go out around 09:00 UTC, and Tuesday is its busiest day, at roughly 2.77 posts per day across the measured window.

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