Back to @Rumoreconomy's profile

财经真相 engagement report

@Rumoreconomy - 939K followers on X

Measured over 59 original posts from a 30-day window, last computed on October 18, 2026.

Engagement

Middle of its size range
Per follower
0.011%
of 939K followers
Per impression
0.31%
33K views on a typical post
Reach
3.54%
of its followers see a post
Typical post
103
interactions (median)
Saved
0.03%
10 bookmarks on a typical post
Posting rate
2/day
active 37% of days
Peak time
07:00 UTC
Saturday

A typical post picks up 103 interactions against 939K followers, an engagement rate of 0.011%. Measured over 59 original posts, its engagement rate beats 35% of 19,932 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 33K times each, and 0.31% of those impressions turn into an interaction. That is about 3.54% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 07:00 UTC, and Saturday is the busiest day of the week. Of the 59 posts sampled, 61% carry an image or video. The account's strongest tracked post pulled 2.8K interactions, about 27x its own typical post.

Measured over 59 original posts from a 30-day window, last computed on October 18, 2026.

Compared with accounts its own size

财经真相's engagement rate beats 35% of the tracked X accounts closest to it in follower count (19,932 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 22% 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 0.011%, 财经真相 sits above the 10th percentile of the 200,661 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.141%
p750.67%
p902.53%
p9982.4%
Engagement rate as a share of followers, across the 200,661 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,898 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 percentile0.141%
75th percentile0.67%
90th percentile2.53%
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 07:00 UTC, and Saturday 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: 07:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 07:00 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: Saturday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Saturday
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 video61% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 61% 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.
  • 0% 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 108 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

  • Aug 27, 202627x their median

    华为法务部的威胁 https://t.co/F2lmUtVTLd

    2.1K22440822318K viewsView on X
  • Sep 9, 202624x their median

    上海徐汇区的幼儿园这么牛逼吗? https://t.co/ebn0h8rUb1

    1.3K861.0K21.0M viewsView on X
  • Sep 8, 202622x their median

    版本更新很快,哈哈😛 https://t.co/YF785EEyYG

    1.9K1312174292K viewsView on X
  • Sep 14, 202620x their median

    电影《我向国旗敬礼》上映两天票房为零 洗脑片已经不管用了,经济下滑背景下,傻子也痛醒了 https://t.co/X6pTLl7T5R

    1.8K1182058442K viewsView on X
  • Oct 15, 202619x their median

    河南商丘恒大缤纷城起火,看这架势估计又要搞新闻发布会了,等着看新闻吧 https://t.co/eOYFu2jPOR

    1.5K20629521236K viewsView on X
  • Aug 25, 202618x their median

    十五年后,随着财政崩溃,中国庞大的基建设施由于得不到维护,会逐渐破烂化 上海某些偏远的地铁站里,会陆续出现屎尿味,机场高铁垃圾堆,地铁发车间隔十分钟以上,而且票价极贵 随着失业率失控,三四线偏远地铁会出现大批流浪汉,单身女性再也不敢独身去这些地方,犯罪率越来严重,警察维护难以为继

    1.2K7648713260K viewsView on X
  • Aug 29, 202618x their median

    9月1日,是中国战争进程进一步加速的过程 军事:清除张又侠反战派,新版国防法正式无常征用一切(战时经济) 税收:新三税合一,变向加税 经济:放开40年房贷,连发数文给下半年经济打气 医保:进一步增强加收比例 继续囤积黄金,为开战规避制裁做准备 明年再度连任,一切就等美国内部出事

    1.4K1402273359K viewsView on X
  • Oct 11, 202617x their median

    现在社保估计到了崩盘的地步了,再也没有办法腾挪,只剩三条路: 1.动用行政命令,强制不参加的人交钱,绑定各种社会福利逼你交社保,让网格员上门挨个催收 2.现有缴纳社保的人员,翻倍增长收缴比例,企业和员工负担更大,裁员更猛、失业更多,缴纳基数更少恶性循环 3.大幅降低体制内的社保费用

    1.4K10418912372K viewsView on X
  • Aug 14, 202614x their median

    央行发布了老江的一元硬币,这算是给足了面子 https://t.co/oUmJAp3xpj

    1.0K353127577K viewsView on X
  • Aug 16, 202613x their median

    中国女生为何对老外这么主动热情? 很多人说是媚外,其实大错特错! 小仙女找老外本质就是借外国没有天价彩礼,放纵自己的性欲,跟老外玩完拍屁股回国,家人朋友都不知道,然后再找国男接盘 对外开放放纵压抑的性欲,对内保守要责任要担当 自己有性需求,却不能对国男承认,否则就没法要彩礼了

    864723508142K 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.

Buy or sell Twitter (X) accounts - escrow-protected

PlayerSells is an escrow marketplace for Twitter (X) accounts. Every deal is protected, with no middleman risk.

Reading these numbers

A typical post picks up 103 interactions against 939K followers, an engagement rate of 0.011%. Measured over 59 original posts, its engagement rate beats 35% of 19,932 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 33K times each, and 0.31% of those impressions turn into an interaction. That is about 3.54% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 07:00 UTC, and Saturday is the busiest day of the week. Of the 59 posts sampled, 61% carry an image or video. The account's strongest tracked post pulled 2.8K interactions, about 27x its own typical post.

What is 财经真相's engagement rate on X?
财经真相 (@Rumoreconomy) has an engagement rate of 0.011%, based on the median interactions across 59 original posts from the last 30 days against 938,535 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.011%, 财经真相 sits above the 10th percentile of the 200,661 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 @Rumoreconomy have real engagement?
Its engagement rate beats 35% of the tracked X accounts closest to it in follower count (19,932 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 @Rumoreconomy post?
Most posts go out around 07:00 UTC, and Saturday is its busiest day, at roughly 2 posts per day across the measured window.

Keep going