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财经数据库 engagement report

@caijingshujuku - 381K followers on X

Measured over 60 original posts from a 30-day window, last computed on October 2, 2026.

Engagement

Middle of its size range
Per follower
0.015%
of 381K followers
Per impression
0.27%
22K views on a typical post
Reach
5.68%
of its followers see a post
Typical post
58
interactions (median)
Saved
0.049%
10 bookmarks on a typical post
Posting rate
3.07/day
active 50% of days
Peak time
04:00 UTC
Wednesday

A typical post picks up 58 interactions against 381K followers, an engagement rate of 0.015%. Measured over 60 original posts, its engagement rate beats 40% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 22K times each, and 0.27% of those impressions turn into an interaction. That is about 5.64% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.1 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 04:00 UTC, and Wednesday is the busiest day of the week. Of the 60 posts sampled, 53% carry an image or video, 23% are part of a thread and 42% link out. The account's strongest tracked post pulled 7.5K interactions, about 150x its own typical post.

Measured over 60 original posts from a 30-day window, last computed on October 2, 2026.

Compared with accounts its own size

财经数据库's engagement rate beats 40% 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 19% 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 0.015%, 财经数据库 sits above the 10th percentile of the 204,880 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 204,880 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 percentile0.678%
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 04:00 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: 04:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 04:00 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 video53% of posts+111%+108% to +115%34K
Outbound link42% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 53% 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.
  • 42% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 121 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

  • May 1, 2026150x their median

    刚刚,成都大献忠事件,死伤惨重。 成都高新区天府四街, 有人利用汽车无差别撞人, 估计死亡人数超过了 11 人, 现场很惨烈, 很多视频已经被封了。 凶手撞人后提刀下车准备砍人! 这几个视频是现场最全的 https://t.co/H6v1YWAdxG

    5.3K7421.4K812.2M viewsView on X
  • Sep 27, 202677x their median

    劲爆: 潘石屹在美国讲出任志强被抓事件,信息量超大 网传的都是55秒的删减版! 看看这个未删减版的视频,信息含量更大 这次他为任志强发声, 是彻底激怒习近平了 堵死了回国的最后一条路 这个视频在墙内全网紧急封杀 https://t.co/PuvNH9Pzvj

    3.6K59624815652K viewsView on X
  • Sep 27, 202635x their median

    全网疯传!潘石屹在美国为任志强发声!偷拍视频流出,信息含量极大,潘真的不能回国了!(未删减版) https://t.co/s5jA7VT4Um

    1.8K162845316K viewsView on X
  • Sep 27, 202633x their median

    一个在美国的餐厅里用餐的亚洲男性,正在录制自己的情况。这时,一个白人女性从他身边走过,躲在栅栏的阴影中,向着镜头投以嘲讽的目光,然后走近他,询问他为什么在录像。 https://t.co/iIbYUtUUxv

    1.4K4150541.1M viewsView on X
  • Sep 28, 202625x their median

    墙内有这种认知的人少之又少! 这个女博主的视频已被抖音封了 https://t.co/wzbgRbRqvs

    1.2K22611395K viewsView on X
  • Sep 4, 202625x their median

    为什么中共政府总是害怕中国人参观日本靖国神社呢? 因为靖国神社里记录了8年抗战,中共只消灭了850多名日本兵,国军消灭了30多万,而牠们在教科书里宣称自己消灭了百万日本兵…… 这个视频在墙内被全网封杀了,请转发让更多中国人看到! https://t.co/P5gViPZsbW

    1.0K1632355238K viewsView on X
  • Sep 27, 202624x their median

    这是近年来拍得最清淅的一次,基本上可以肯定是习明泽了,不然绝对不可能坐在主桌彭丽媛身边这样的位置, 翻译和蔡奇都没这个待遇。 https://t.co/mk4YEgQSjG

    1.1K9115831.1M viewsView on X
  • Aug 28, 202618x their median

    大灾当前,解放军摆拍小分队再次惨烈翻车!全网嘘声一片…… https://t.co/qgySSA0J4e

    841841316375K viewsView on X
  • Aug 29, 202617x their median

    西藏泥石流三天后,中国救援队终于抵达了现场…… 搜救方式原始得让人尴尬! 以为人是泥鳅,在泥浆下能活3天?还能发声? 失联的近600人算是彻底没戏了! 反观泥泊尔救援效率非常高! https://t.co/eWg2t1FdPq

    718881922359K viewsView on X
  • Aug 29, 20269.2x their median

    这个当兵的无耻行为,遭到全体网友阳阳!太爽了 https://t.co/wyKnqXTgQF

    44325680352K 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 58 interactions against 381K followers, an engagement rate of 0.015%. Measured over 60 original posts, its engagement rate beats 40% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 22K times each, and 0.27% of those impressions turn into an interaction. That is about 5.64% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.1 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 04:00 UTC, and Wednesday is the busiest day of the week. Of the 60 posts sampled, 53% carry an image or video, 23% are part of a thread and 42% link out. The account's strongest tracked post pulled 7.5K interactions, about 150x its own typical post.

What is 财经数据库's engagement rate on X?
财经数据库 (@caijingshujuku) has an engagement rate of 0.015%, based on the median interactions across 60 original posts from the last 30 days against 381,398 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.015%, 财经数据库 sits above the 10th percentile of the 204,880 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 @caijingshujuku have real engagement?
Its engagement rate beats 40% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the middle of its size range 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 @caijingshujuku post?
Most posts go out around 04:00 UTC, and Wednesday is its busiest day, at roughly 3.07 posts per day across the measured window.

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