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有吉弘行 engagement report

@ariyoshihiroiki - 6.7M followers on X

Measured over 48 original posts from a 30-day window, last computed on August 21, 2026.

Engagement

Top quarter for its size
Per follower
0.038%
of 6.7M followers
Per impression
0.734%
350K views on a typical post
Reach
5.20%
of its followers see a post
Typical post
2.6K
interactions (median)
Saved
0.009%
31 bookmarks on a typical post
Posting rate
2.47/day
active 70% of days
Peak time
13:00 UTC
Sunday

A typical post picks up 2.6K interactions against 6.7M followers, an engagement rate of 0.038%. Measured over 48 original posts, its engagement rate beats 78% of 982 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 350K times each, and 0.734% of those impressions turn into an interaction. That is about 5.20% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.5 posts a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 13:00 UTC, and Sunday is the busiest day of the week. Of the 48 posts sampled, 40% carry an image or video and 13% link out. The account's strongest tracked post pulled 41K interactions, about 16x its own typical post. Recurring topics include #かりそめ天国, #有吉クイズ, #有吉園芸.

Measured over 48 original posts from a 30-day window, last computed on August 21, 2026. Recurring tags: #かりそめ天国, #有吉クイズ, #有吉園芸.

Compared with accounts its own size

有吉弘行's engagement rate beats 78% of the tracked X accounts closest to it in follower count (982 accounts, accounts of similar size (decile 10 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 53% 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 0.038%, 有吉弘行 sits above the 25th percentile of the 9,668 accounts in this comparison. That places it in the below the median band, which runs 0.006% to 0.046%.

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 13:00 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: 13:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 97%Busiest hour: 13:00 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: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 97%Busiest day: Sunday
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 video40% of posts+79%+73% to +84%5.7K
Outbound link13% of posts-49%-50% to -47%6.0K
Typical length--7%-8% to -5%8.9K
  • 40% 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.
  • 13% 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 81 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 7% 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

  • Aug 18, 202616x their median

    有吉の壁 今夜7時! レギュラー最終回まであと4回! 一般人の壁を越えろ! おもしろEBiDANライブの人選手権🦐 ライブ初日の本番前のまさかのタイミングで EBiDANメンバー33名と壁芸人たちが 一夜限りのスペシャルコラボ✨ 壁ファンの方も EBiDANファンの方も一緒に盛り上がりましょう! Yes!東京! Yes!お笑い! #水曜は壁があるから早く帰ろう

    36K4.2K585482.4M viewsView on X
  • Aug 15, 202615x their median

    子供と病院 お会計無いのが毎回感動

    37K4912191355.6M viewsView on X
  • Aug 11, 202614x their median

    ロケバスで田中と子供の話をするとは思わなかったよ。本当に思わなかったよ。

    35K782155261.4M viewsView on X
  • Aug 8, 20268.4x their median

    5ヶ月でズリ這い 思いがけない早さに大慌てでベビーサークル。 成長は当然嬉しくも 今後の慌ただしさを思うと大汗。

    21K326166542.2M viewsView on X
  • Jul 27, 20266.2x their median

    みなみかわのライブ。 全力で無料動画探しました なんとか切り抜きを繋いで 全編観ようと努力したけど 力尽きて正式に配信観ました。

    15K349223112.6M viewsView on X
  • Aug 15, 20264.1x their median

    オフィシャルサイトにて「回転寿司大食い対決」#1 公開されたようです🐥 美味しかったなあ… この日のためにコンディションを整えに整えたので、かなり本気で勝ちにいきました🐥 お寿司美味しかったなあ……お寿司食べたいなあ……

    9.8K60282204.2M viewsView on X
  • Aug 5, 20263.8x their median

    杉山斉藤堤下坂井木下山本

    8.6K4045791075.9M viewsView on X
  • Aug 7, 20263.5x their median

    山本にメールしたら 永遠に返信してくるので 怖くなって警察に連絡したら 山本の霊でした。

    8.5K207312182.1M viewsView on X
  • Jul 27, 20263.2x their median

    なんか最近イライラ 不満を抱えてました 気づきました、私には相撲が足りない。

    7.7K18924328964K viewsView on X
  • Jul 29, 20262.6x their median

    明日は早朝から壁ロケ。 あと4回かな

    6.5K1979912481K 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

#かりそめ天国#有吉クイズ#有吉園芸#有吉弘行#aマッソ加納

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 2.6K interactions against 6.7M followers, an engagement rate of 0.038%. Measured over 48 original posts, its engagement rate beats 78% of 982 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 350K times each, and 0.734% of those impressions turn into an interaction. That is about 5.20% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.5 posts a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 13:00 UTC, and Sunday is the busiest day of the week. Of the 48 posts sampled, 40% carry an image or video and 13% link out. The account's strongest tracked post pulled 41K interactions, about 16x its own typical post. Recurring topics include #かりそめ天国, #有吉クイズ, #有吉園芸.

What is 有吉弘行's engagement rate on X?
有吉弘行 (@ariyoshihiroiki) has an engagement rate of 0.038%, based on the median interactions across 48 original posts from the last 30 days against 6,724,342 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.038%, 有吉弘行 sits above the 25th 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 @ariyoshihiroiki have real engagement?
Its engagement rate beats 78% of the tracked X accounts closest to it in follower count (982 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 @ariyoshihiroiki post?
Most posts go out around 13:00 UTC, and Sunday is its busiest day, at roughly 2.47 posts per day across the measured window.

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