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
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%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.677% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 100% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 5% 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
- Sep 16, 202615x their median
又獨自跑到海邊走走😎 https://t.co/PClJZ52oqj
- 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
- 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
- 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
- Sep 19, 20264.8x their median
被三個小男生給留下來🥹 https://t.co/GabC3V9Nlc
- Aug 12, 20264.6x their median
现在不是工作就是被人疼爱🥹 https://t.co/1nAvghpNR4
- Aug 6, 20264.4x their median
玩水的时间又到了🥰 https://t.co/gey7DowGLB
- 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
- Aug 1, 20264.2x their median
這件衣服只能穿一次🥹 https://t.co/D8NwtoOXe6
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.