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王語瑾 engagement report

@bianca_jc1995 - 383K followers on X

Measured over 19 original posts from a 30-day window, last computed on October 10, 2026.

Engagement

Top 10% for its size
Per follower
1.33%
of 383K followers
Per impression
1.61%
307K views on a typical post
Reach
82.9%
of its followers see a post
Typical post
4.9K
interactions (median)
Saved
0.222%
681 bookmarks on a typical post
Posting rate
0.63/day
active 60% of days
Peak time
23:00 UTC
Friday

A typical post picks up 4.9K interactions against 383K followers, an engagement rate of 1.33%. Measured over 19 original posts, its engagement rate beats 98% 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 307K times each, and 1.61% of those impressions turn into an interaction. That is about 80.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.63 post a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 23:00 UTC, and Friday is the busiest day of the week. Of the 19 posts sampled, 100% carry an image or video and 5% link out. The account's strongest tracked post pulled 87K interactions, about 18x its own typical post.

Measured over 19 original posts from a 30-day window, last computed on October 10, 2026.

Compared with accounts its own size

王語瑾's engagement rate beats 98% of the tracked X accounts closest to it in follower count (20,444 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 61% 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 1.33%, 王語瑾 sits above the 75th percentile of the 204,583 accounts in this comparison. That places it in the top 25% band, which runs 0.677% to 2.55%.

p100.004%
p250.024%
p50 (median)0.143%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,583 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,891 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 percentile0.677%
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 23:00 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: 23:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 23:00 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 video100% of posts+111%+108% to +115%34K
Outbound link5% of posts-41%-42% to -40%32K
Typical length--8%-9% to -7%41K
  • 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.
  • 5% 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 49 characters, which falls in the under 80 characters band. Across the catalog, posts under 80 characters run 8% 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

  • Jul 16, 202618x their median

    😎 https://t.co/Sonqx6XON1

    84K2.2K1.2K151.4M viewsView on X
  • Sep 16, 202615x their median

    又獨自跑到海邊走走😎 https://t.co/PClJZ52oqj

    71K2.4K1.7K411.4M viewsView on X
  • Aug 22, 20267.9x their median

    之前在上海搭地鐵,發現對面有人拿著手機直接對准我,本來想說大概在偷拍我吧?但他實在拍太久,我還對他嘖了一下,後來這位偷拍的人今天私底下私訊問我影片是不是我,我才知道原來是粉絲拍的😅,你要是早點說,我就不會把衣服拉上來了 https://t.co/WcMcVcYxZr

    37K1.2K99562.4M viewsView on X
  • Sep 21, 20267.6x their median

    這一兩年來墾丁真的有感覺到遊客少很多耶😨 https://t.co/gLUaaGoo7D

    35K1.5K6756862K viewsView on X
  • Sep 28, 20267.5x their median

    在台灣我都不敢穿這種泳衣🤣 國外就不一樣了 因為在國外這樣很常見 https://t.co/zCIgJ4sXN3

    35K8101.1K231.8M viewsView on X
  • Sep 19, 20264.8x their median

    被三個小男生給留下來🥹 https://t.co/GabC3V9Nlc

    22K7961.1K93.2M viewsView on X
  • Aug 12, 20264.6x their median

    现在不是工作就是被人疼爱🥹 https://t.co/1nAvghpNR4

    21K7326008557K viewsView on X
  • Aug 6, 20264.4x their median

    玩水的时间又到了🥰 https://t.co/gey7DowGLB

    19K5741.5K2767K viewsView on X
  • Oct 9, 20264.3x their median

    大學的時候 被朋友約去夜店 然後認識了一個白人 本來雞同鴨講到一半 他就突然親吻我 只是酒精的催眠下 我也沒拒絕 直到後來有人錄影 就尷尬結束了🤣 https://t.co/KCDwwrieQL

    20K740348123.5M viewsView on X
  • Aug 1, 20264.2x their median

    這件衣服只能穿一次🥹 https://t.co/D8NwtoOXe6

    20K45466741.2M 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 4.9K interactions against 383K followers, an engagement rate of 1.33%. Measured over 19 original posts, its engagement rate beats 98% 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 307K times each, and 1.61% of those impressions turn into an interaction. That is about 80.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.63 post a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 23:00 UTC, and Friday is the busiest day of the week. Of the 19 posts sampled, 100% carry an image or video and 5% link out. The account's strongest tracked post pulled 87K interactions, about 18x its own typical post.

What is 王語瑾's engagement rate on X?
王語瑾 (@bianca_jc1995) has an engagement rate of 1.33%, based on the median interactions across 19 original posts from the last 30 days against 383,211 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 1.33%, 王語瑾 sits above the 75th percentile of the 204,583 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 @bianca_jc1995 have real engagement?
Its engagement rate beats 98% 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 @bianca_jc1995 post?
Most posts go out around 23:00 UTC, and Friday is its busiest day, at roughly 0.63 posts per day across the measured window.

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