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ささき engagement report

@Sasaki___web - 158K followers on X

Measured over 7 original posts from a 30-day window, last computed on October 11, 2026.

Engagement

Per follower
0.239%
of 158K followers
Per impression
0.182%
193K views on a typical post
Reach
131.1%
of its followers see a post
Typical post
352
interactions (median)
Saved
0.017%
33 bookmarks on a typical post
Posting rate
3.67/day
active 23% of days
Peak time
21:00 UTC
Friday

Early reading. We have captured 7 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 352 interactions against 158K followers, an engagement rate of 0.239%. Posts are seen about 193K times each, and 0.182% of those impressions turn into an interaction. That is about 122.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.7 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 21:00 UTC, and Friday is the busiest day of the week. Of the 7 posts sampled, 43% carry an image or video and 43% are part of a thread. The account's strongest tracked post pulled 8.6K interactions, about 24x its own typical post. Only 7 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 7 original posts from a 30-day window, last computed on October 11, 2026. Recurring tag: #pr.

Where this sits in the catalog

At 0.239%, ささき sits above the 50th percentile of the 205,152 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.678%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,152 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 21:00 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: 21:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 21:00 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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
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 video43% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 43% 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 123 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

  • Oct 9, 202624x their median

    しまむらの面接に、 ユニクロのレシートを20枚持ってきた学生がいたらしい。 面接官が一瞬固まった。 学生「1ヶ月間、ユニクロとしまむらに通って違いを調べました」 面接官「何かわかりましたか?」 学生「正直、欲しい服を買うならユニクロの方が良かったです」 面接官「じゃあなぜうちを?」 学生「

    8.1K2911485710M viewsView on X
  • Oct 9, 20268.2x their median

    男は遊び方で年収バレる https://t.co/jXavTmWJmY

    2.0K1482794213.7M viewsView on X
  • Sep 1, 20264.2x their median

    ケチる場所を間違えちゃうと、人生まで貧しくなる。 https://t.co/F1xmi11GPI

    1.3K185425262K viewsView on X
  • Sep 2, 20263.2x their median

    年収2000万をなめるな。 キーエンスで働く社員の現実。 【毎日】 雑談は非効率だという社風で私語は禁止。机の上で飲食も禁止で仕事以外のことを極力もちこまない。接待飲み会も禁止。アルコールの力をかりて顧客を口説くのは邪道とみなされる。接待なしでも買ってもらえる製品をつくって正々堂々と売り込む営業スタイル。 【とある日】 一件目の営業が終わった。次のアポまで少し時間があるからコンビニの駐車場で仮眠して、そのあとの仕事も終わり帰宅。次の日に上司から、

    9009599171.7M viewsView on X
  • Sep 3, 20261.5x their median

    前の職場にいた37才の契約社員の女性。 社員を抜いて売り上げトップだった。 クレーム対応から急な案件など新人フォローまで、正社員が休憩してる時もずっと動いていたのを見てきたし困った時はみんなから頼られていた。 3月のMVPの発表。 選ばれたのは、その人よりも売上げの低い正社員。 あとで部長が申し訳なさそうに 「契約上、これ以上は難しくて…」 と伝えると、 笑顔で「大丈夫です!」と言っていたが少し寂しそうだった。 3ヶ月後、その人の退職が発表されて部署がザワついていた。 どうやら、

    40568586269K viewsView on X
  • Sep 14, 2026

    前の職場にいた42才のパートの女性。 会議資料を作るのが担当で、各部署の数字をまとめてグラフ化する。 毎週5時間はかかる作業だったがAIを使って半自動化したらしい。作業時間は30分になったと聞いた。 しかし社員から、 「パートの判断で勝手に変えないでください」と言われて元に戻されたらしい。 1週間後の定例会議。 その話を聞いた部長が、

    27768668222K viewsView on X
  • Sep 15, 2026

    しまむらで働く友人が言ってたんだけど... ・友人は店舗勤務で年収650万ぐらい ・賞与は年2回と決算賞与がもらえる ・残業は月20時間ぐらい ・初期配属は家から90分以内の店舗か本社 ・1,415店舗あるから通勤は便利と言っていた ・家賃補助は8.5万円※転勤者に ・社割で洋服を10%オフで買える ・社員の6割が女性なので配属されるパートさんとうまくやっていくことがポイントらしい 入社1年目は主に力仕事が多い。働き始めて2年が過ぎたときにエリアマネージャーから、 「ちょっといい?

    22172572193K viewsView on X
  • May 18, 2026

    https://t.co/YqrOSIZQLV

    29224237120K viewsView on X
  • Oct 9, 2026

    なんでもない今日が いつかいちばん恋しくなる https://t.co/2fq12nyQBj

    1685234290K viewsView on X
  • Oct 10, 2026

    夜9時のサイゼリヤで、 隣の席のカップルが静かにお祝いしていた。 「昇進おめでとう」 彼女が主任になったらしい。 彼が申し訳なさそうに、 「本当にサイゼでよかったの?もっといい店予約しようと思ってたんだけど」 と言うと彼女が真剣な顔になって 「本当は、

    1425850384K 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

#pr

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 352 interactions against 158K followers, an engagement rate of 0.239%. Posts are seen about 193K times each, and 0.182% of those impressions turn into an interaction. That is about 122.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.7 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 21:00 UTC, and Friday is the busiest day of the week. Of the 7 posts sampled, 43% carry an image or video and 43% are part of a thread. The account's strongest tracked post pulled 8.6K interactions, about 24x its own typical post. Only 7 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is ささき's engagement rate on X?
ささき (@Sasaki___web) has an engagement rate of 0.239%, based on the median interactions across 7 original posts from the last 30 days against 157,650 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.239%, ささき sits above the 50th percentile of the 205,152 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 @Sasaki___web have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @Sasaki___web post?
Most posts go out around 21:00 UTC, and Friday is its busiest day, at roughly 3.67 posts per day across the measured window.

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