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王語瑾 engagement report

@bianca_jc1995 - 340K followers on X

Measured over 21 original posts from a 30-day window, last computed on September 3, 2026.

Engagement

Top 10% for its size
Per follower
1.74%
of 340K followers
Per impression
2.15%
269K views on a typical post
Reach
80.7%
of its followers see a post
Typical post
5.8K
interactions (median)
Saved
0.355%
953 bookmarks on a typical post
Posting rate
0.83/day
active 73% of days
Peak time
23:00 UTC
Sunday

A typical post picks up 5.8K interactions against 340K followers, an engagement rate of 1.74%. Measured over 21 original posts, its engagement rate beats 97% of 6,874 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 269K times each, and 2.15% of those impressions turn into an interaction. That is about 79.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.83 post a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 23:00 UTC, and Sunday is the busiest day of the week. Of the 21 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 88K interactions, about 15x its own typical post.

Measured over 21 original posts from a 30-day window, last computed on September 3, 2026.

Compared with accounts its own size

王語瑾's engagement rate beats 97% of the tracked X accounts closest to it in follower count (6,874 accounts, accounts of similar size (decile 8 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 69% 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 1.74%, 王語瑾 sits above the 75th percentile of the 66,128 accounts in this comparison. That places it in the top 25% band, which runs 0.499% to 2.09%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99119.9%
Engagement rate as a share of followers, across the 66,128 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 57,111 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 percentile0.002%
25th percentile0.016%
50th percentile0.1%
75th percentile0.499%
90th percentile2.09%
99th percentile119.9%

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 23:00 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: 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: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Sunday
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 42 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, 202615x their median

    😎 https://t.co/Sonqx6XON1

    84K2.2K1.2K151.4M viewsView on X
  • Aug 22, 20266.7x 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

    37K1.2K99152.2M viewsView on X
  • Aug 12, 20263.9x their median

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

    21K7366008510K viewsView on X
  • Aug 6, 20263.7x their median

    玩水的时间又到了🥰 https://t.co/gey7DowGLB

    19K5731.5K2723K viewsView on X
  • Aug 1, 20263.6x their median

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

    20K45766841.1M viewsView on X
  • Jul 20, 20262.9x their median

    這個車廂幾乎沒有人😋 https://t.co/VHv1q7DUuv

    16K3596141453K viewsView on X
  • Aug 13, 20262.8x their median

    又被要求sm了🥵 https://t.co/GS7gT0ijWH

    15K3376462432K viewsView on X
  • Aug 30, 20262.3x their median

    昨天的戰袍😝 https://t.co/hWugQCDFlh

    13K2724074198K viewsView on X
  • Jul 14, 20262.1x their median

    最近都忙到沒時間更新😅 https://t.co/vn7kotpRbZ

    12K2921532308K viewsView on X
  • Aug 8, 20262.1x their median

    朋友家好大😳 https://t.co/ibcDOZRBBi

    11K2119473391K 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 5.8K interactions against 340K followers, an engagement rate of 1.74%. Measured over 21 original posts, its engagement rate beats 97% of 6,874 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 269K times each, and 2.15% of those impressions turn into an interaction. That is about 79.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.83 post a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 23:00 UTC, and Sunday is the busiest day of the week. Of the 21 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 88K interactions, about 15x its own typical post.

What is 王語瑾's engagement rate on X?
王語瑾 (@bianca_jc1995) has an engagement rate of 1.74%, based on the median interactions across 21 original posts from the last 30 days against 339,583 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 1.74%, 王語瑾 sits above the 75th percentile of the 66,128 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 97% of the tracked X accounts closest to it in follower count (6,874 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 Sunday is its busiest day, at roughly 0.83 posts per day across the measured window.

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