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tenki.jp engagement report

@tenkijp - 2.5M followers on X

Measured over 92 original posts from a 30-day window, last computed on August 21, 2026.

Engagement

Middle of its size range
Per follower
0.011%
of 2.5M followers
Per impression
0.377%
70K views on a typical post
Reach
2.86%
of its followers see a post
Typical post
265
interactions (median)
Saved
0.01%
7 bookmarks on a typical post
Posting rate
3.07/day
active 30% of days
Peak time
02:00 UTC
Friday

A typical post picks up 265 interactions against 2.5M followers, an engagement rate of 0.011%. Measured over 92 original posts, its engagement rate beats 48% of 1,003 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 70K times each, and 0.377% of those impressions turn into an interaction. That is about 2.86% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.1 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 02:00 UTC, and Friday is the busiest day of the week. Of the 92 posts sampled, 100% link out. The account's strongest tracked post pulled 1.4K interactions, about 5.2x its own typical post.

Measured over 92 original posts from a 30-day window, last computed on August 21, 2026.

Compared with accounts its own size

tenki.jp's engagement rate beats 48% of the tracked X accounts closest to it in follower count (1,003 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 33% 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 0.011%, tenki.jp sits above the 25th percentile of the 9,981 accounts in this comparison. That places it in the below the median band, which runs 0.007% to 0.047%.

p100.001%
p250.007%
p50 (median)0.047%
p750.325%
p902.60%
p99357.9%
Engagement rate as a share of followers, across the 9,981 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 447,404 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 percentile0.007%
50th percentile0.047%
75th percentile0.325%
90th percentile2.60%
99th percentile357.9%

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 Friday 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 96%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 UTC0%15K
01:00 UTC+4%15K
02:00 UTC-1%14K
03:00 UTC-2%15K
04:00 UTC-5%12K
05:00 UTC-5%12K
06:00 UTC-7%13K
07:00 UTC-6%14K
08:00 UTC-7%17K
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%29K
15:00 UTC-1%30K
16:00 UTC-1%30K
17:00 UTC-1%28K
18:00 UTC+1%25K
19:00 UTC0%24K
20:00 UTC0%22K
21:00 UTC+1%19K
22:00 UTC+1%17K
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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 96%Busiest day: Friday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+8%59K
Monday+8%72K
Tuesday+1%94K
Wednesday-4%78K
Thursday-3%71K
Friday-5%73K
Saturday+2%64K
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 video1% of posts+79%+73% to +85%5.8K
Outbound link100% of posts-49%-50% to -47%6.1K
Typical length--7%-8% to -5%9.0K
  • 1% 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.
  • 100% of its posts carry a link off X. Across the catalog, posts with an outbound link run 49% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 118 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 14, 20265.2x their median

    【速報】阿蘇山 噴火警戒レベル3(入山規制)に引き上げ 火山ガスが急増】 https://t.co/cwQeRVYc6f 今日14日15時45分、福岡管区気象台は阿蘇山の噴火警戒レベルを2(火口周辺規制)から3(入山規制)に引上げました。

    6036721189175K viewsView on X
  • Aug 14, 20264.8x their median

    【関東は明日15日明け方にかけて局地的に滝のような非常に激しい雨や雷雨 冠水に注意】 https://t.co/NGzFE3ii7L 関東は、明日15日明け方にかけて大気の状態が非常に不安定な状態が続くでしょう。

    630593744101K viewsView on X
  • Aug 14, 20263.2x their median

    【速報】台風17号は熱帯低気圧に変わりました】 https://t.co/CQ0RXDBMrq 台風17号(ナンカー)は、14日(金)午後9時に南鳥島近海で熱帯低気圧に変わりました。

    50431193787K viewsView on X
  • Aug 19, 20262.8x their median

    【今日8月19日は「伝統的七夕」 今夜は広く星空観察のチャンス】 https://t.co/75UfcKYH6N 今日8月19日は「伝統的七夕」です。

    52620821773K viewsView on X
  • Aug 14, 20262.6x their median

    【速報】気象庁は千葉県の豪雨に対して「令和8年8月千葉豪雨」と命名】 https://t.co/ulAvif9MJe 気象庁は8月13日からの千葉県の豪雨に対して、「令和8年8月千葉豪雨」と名称を定めました。

    37929351979K viewsView on X
  • Aug 17, 20262.5x their median

    【気象予報士が線状降水帯から車を守った「近・高・早」の判断】 https://t.co/W1G7OFBLJh 令和8年8月千葉豪雨――のちにそう命名される豪雨に、私も巻き込まれました。

    43520561483K viewsView on X
  • Aug 21, 20262.3x their median

    【速報】埼玉県に「レベル4大雨危険警報」を発表 危険な場所から避難を】 https://t.co/9OMDY6UcSv 21日午後4時半前に、埼玉県に「レベル4大雨危険警報」が発表されました。これまでの大雨によって、浸水による災害が発生する可能性が高まっています。

    29029612353K viewsView on X
  • Aug 18, 20262.2x their median

    【新たな台風が発生予想 24日には強い勢力で小笠原近海へ 暴風域を伴う】 https://t.co/jBEuiW1MGH 気象庁は今日19日午前3時現在、トラック諸島近海にある熱帯低気圧が、今後、台風に発達する見込みと発表しました。

    29126332149K viewsView on X
  • Aug 14, 20262.0x their median

    【関東など15日にかけてゲリラ豪雨に警戒 冠水道路の走行は危険 車への浸水の影響は】 https://t.co/IZasaOajni 「令和8年8月千葉豪雨」では冠水被害が相次ぎ、人的被害も発生しました。

    3062233780K viewsView on X
  • Aug 18, 20262.0x their median

    【明日19日は猛暑エリア拡大へ 久留米38℃・熊本や京都37℃予想 熱中症に警戒】 https://t.co/zyMJDc1mtQ 今日18日は九州や中国、四国を中心に気温が上がり、九州では体温を超える危険な暑さとなった所もありました。

    30521431673K 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.

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Reading these numbers

A typical post picks up 265 interactions against 2.5M followers, an engagement rate of 0.011%. Measured over 92 original posts, its engagement rate beats 48% of 1,003 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 70K times each, and 0.377% of those impressions turn into an interaction. That is about 2.86% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.1 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 02:00 UTC, and Friday is the busiest day of the week. Of the 92 posts sampled, 100% link out. The account's strongest tracked post pulled 1.4K interactions, about 5.2x its own typical post.

What is tenki.jp's engagement rate on X?
tenki.jp (@tenkijp) has an engagement rate of 0.011%, based on the median interactions across 92 original posts from the last 30 days against 2,460,585 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.011%, tenki.jp sits above the 25th percentile of the 9,981 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 @tenkijp have real engagement?
Its engagement rate beats 48% of the tracked X accounts closest to it in follower count (1,003 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 @tenkijp post?
Most posts go out around 02:00 UTC, and Friday is its busiest day, at roughly 3.07 posts per day across the measured window.

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