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Vivienne Chow engagement report

@VivienneChow - 106K followers on X

Measured over 3 original posts from a 30-day window, last computed on October 13, 2026.

Engagement

Per follower
0.005%
of 106K followers
Per impression
0.564%
886 views on a typical post
Reach
0.83%
of its followers see a post
Typical post
5
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
0.3/day
active 23% of days
Peak time
06:00 UTC
Wednesday

Early reading. We have captured 3 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 5 interactions against 106K followers, an engagement rate of 0.005%. Posts are seen about 886 times each, and 0.564% of those impressions turn into an interaction. That is about 0.835% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.3 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 06:00 UTC, and Wednesday is the busiest day of the week. Of the 3 posts sampled, 100% carry an image or video and 33% link out. The account's strongest tracked post pulled 8.9K interactions, about 1780x its own typical post. Only 3 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 3 original posts from a 30-day window, last computed on October 13, 2026. Recurring tag: #breaking.

Where this sits in the catalog

At 0.005%, Vivienne Chow sits above the 10th percentile of the 204,798 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,798 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,879 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 06:00 UTC, and Wednesday 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: 06:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 06:00 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video100% of posts+111%+108% to +115%34K
Outbound link33% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 100% 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.
  • 33% 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 227 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

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

  • Jan 14, 20261780x their median

    Prime Minister Takaichi Sanae and President Lee Jae Myung found harmony after a summit through a drum session. Lee once told Takaichi drumming was a long-held dream. More about the Japan-South Korea summit: https://t.co/PC60shhGSo https://t.co/16k6Jnb58U

    7.3K1.1K189288642K viewsView on X
  • Jun 16, 20261570x their median

    高市首相の好きなサッチャー時代(1979-1990年)の英国について、音楽と美術のサブカルチャー的な観点からちょっと書きます。読んでみてください。 サッチャー時代の英国は、経済危機、失業による社会分断(特に北部・中部工業地帯)の中で爆発的に多様化し、音楽と美術は強く政治色を帯びました。 大半のサブカルチャーは反サッチャー寄りで、彼女の新自由主義政策(民営化、労働組合弱体化、福祉削減)を批判するものが主流でした。 音楽では、失業、鉱夫ストライキ、社会の冷たさをテーマにしたものが多く、The SmithsのMorrisseyは「Margaret on the Guillotine」で政権を直接批判。The Jamの「A Town Called Malice」やElvis Costelloの「Shipbuilding」もそうです。マンチェスターの音楽シーンもその傾向でした。日本でも知名度の高いThe Specials, The Beat, Madness, The SelecterらのTwo Tone運動は、明確に反サッチャー、反レイシズムです!また1979年頃コヴェントリーで生まれた白人、黒人混成のスカなどは、貧困、暴動、人種対立を批判しました。The Specialsの「Ghost Town」は1981年暴動の象徴でした。それは多文化共生を体現し、サッチャーの分断政策に対抗であった。今の日本も分断化政策が特徴(たとえば親高市 VS 反高市)です。 New Romanticsと呼ばれたムーブメント(Spandau Ballet, Duran Duran, Culture Club, Visageなど)は、比較的にみてファッション、シンセポップ、クラブカルチャーで、失業や灰色の現実から逃避的で非政治的だったと思います。富裕層の多いロンドン南部で生まれ、成功志向、個人の野心がサッチャー的でした。しかしながらメンバーは反サッチャーだったようです。 1980年代後半から始まる後にYoung British Artists (YBAs)と命名されるアートムーブメントは、Damien Hirst, Tracey Emin, Sarah Lucasら(Goldsmithsというアートスクール中心)による1988年の「Freeze」展から始まりました。起業家精神、ショックタクティクス、DIYが特徴で、サッチャーの「企業家社会」を体現する側面もあったと思いますが、作品は社会批判、消費主義風刺、階級問題が多く、反体制的ニュアンスがありました。しかしながら90年代に保守的な広告王Saatchiがパトロンとなって作家の思いとは裏腹?に商業的に大成功しました。先に述べたYBAの影響は、意識、無意識に関わらず日本に当てはめると、起業家精神 = 芸術企業論の村上隆氏、ショックタクティクス(人の感情を一気に揺さぶり、注意をこちらに向けさせる)=会田誠氏、DIY=たぶん自分?かもしれません。 雑誌ではThe Face誌、ファッションではVivienne Westwood、Katharine Hamnettなどによる政治メッセージTシャツは反体制的表現が多く反サッチャーの文脈で語られます。 なんにせよ、現在ではサッチャー政権の評価は依然として二極化していて、保守派から高く評価される一方、労働党支持層や北部・工業地帯では厳しい批判があります。世界的に見ても「新自由主義の象徴」として賛否が分かれる状況です。

    5.7K2.0K193309K viewsView on X
  • Jun 18, 2026582x their median

    Tokyo’s iconic Ginza Line can trace its inspiration right back to the London Underground. To celebrate the 100th anniversary of the subway with Tokyo Metro, I unveiled a TfL roundel at Ueno station - a gift celebrating our shared transport history. https://t.co/ASGWNOvYWq

    2.5K317082165K viewsView on X
  • Feb 1, 202424x their median

    ‘This is an Era of Diaspora’: How Hong Kong’s Art Community Is Finding Home in the U.K.—Three years after the U.K. launched the BNO visa scheme for Hong Kongers, artists are settling into their new home. My story @artnet https://t.co/t55t1ZeLD6

    74422114K viewsView on X
  • Aug 26, 202621x their median

    The Gwangju Biennale Foundation has agreed to use “Taiwan Pavilion” in official documents and promotional materials. The Ministry thanks all who stood with #Taiwan and upheld the democratic spirit of Gwangju. https://t.co/bIHUJsbWSE https://t.co/xWjjWadtT1

    6728275.8K viewsView on X
  • Apr 3, 20265.8x their median

    blatant misinformation. this is Hong Kong’s Tai Po fire tragedy, not Tel Aviv. https://t.co/Us1baUjQ4j

    235101.5K viewsView on X
  • Mar 24, 20264.6x their median

    WTF, the owner and 3 staff of the bookshop “Book Punch” arrested today in #HongKong , for selling the Biography of #JimmyLai (who is in jail for practicing journalism). #freeallpoliticalprisoners https://t.co/lPtJzJG5tP

    155211.1K viewsView on X
  • Aug 16, 20264.0x their median

    How 'Taiwan' Is Disappearing From the Global Art Stage—From Venice to Gwangju, Taiwan has lost its pavilion time and again at international art biennials read my analysis on Cultural Fulcrum. https://t.co/0vwJmTidII https://t.co/bQXkgtUahR

    106221.6K viewsView on X
  • Aug 27, 20263.8x their median

    Breaking: Japanese artist Yayoi Kusama dies at 97 https://t.co/BQg3JRd0uO

    134022.5K viewsView on X
  • Aug 21, 20261.8x their median

    Thorough analysis by Natasha Li @FRANCE24 on the implications of China’s new border regulations that “tighten checks on travellers and provide new grounds for restricting Chinese citizens from leaving the country”. https://t.co/DxvP9Xx5BC

    6210568 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

#breaking

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 5 interactions against 106K followers, an engagement rate of 0.005%. Posts are seen about 886 times each, and 0.564% of those impressions turn into an interaction. That is about 0.835% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.3 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 06:00 UTC, and Wednesday is the busiest day of the week. Of the 3 posts sampled, 100% carry an image or video and 33% link out. The account's strongest tracked post pulled 8.9K interactions, about 1780x its own typical post. Only 3 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 Vivienne Chow's engagement rate on X?
Vivienne Chow (@VivienneChow) has an engagement rate of 0.005%, based on the median interactions across 3 original posts from the last 30 days against 106,135 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.005%, Vivienne Chow sits above the 10th percentile of the 204,798 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 @VivienneChow have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @VivienneChow post?
Most posts go out around 06:00 UTC, and Wednesday is its busiest day, at roughly 0.3 posts per day across the measured window.

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