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亚洲金融 Asia Finance engagement report

@AsiaFinance - 423K followers on X

Measured over 64 original posts from a 30-day window, last computed on September 26, 2026.

Engagement

Middle of its size range
Per follower
0.012%
of 423K followers
Per impression
0.214%
23K views on a typical post
Reach
5.47%
of its followers see a post
Typical post
49
interactions (median)
Saved
0.076%
18 bookmarks on a typical post
Posting rate
4/day
active 57% of days
Peak time
01:00 UTC
Friday

A typical post picks up 49 interactions against 423K followers, an engagement rate of 0.012%. Measured over 64 original posts, its engagement rate beats 36% 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 23K times each, and 0.214% of those impressions turn into an interaction. That is about 5.41% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4 posts a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 01:00 UTC, and Friday is the busiest day of the week. Of the 64 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 718 interactions, about 15x its own typical post.

Measured over 64 original posts from a 30-day window, last computed on September 26, 2026.

Compared with accounts its own size

亚洲金融 Asia Finance's engagement rate beats 36% 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 15% 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 0.012%, 亚洲金融 Asia Finance 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 01:00 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: 01:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 01:00 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 link0% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 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.
  • 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 281 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above 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 24, 202615x their median

    蔡澜说,刘銮雄泡女明星,都是先送3000万,这样90%的港姐可以拿下。但是,还有10%的港姐和巨星,刘銮雄也拿不下来,因为她们属于顶级权贵。这些顶级女星和权贵,都是在海外庄园约会,以拍摄广告为借口。蔡澜也说,赚钱不需要复杂的金融模型,往往在于你能不能敏锐地发现别人最痛苦、最渴望解决的需求。在沙漠里,水和冰比黄金还贵。蔡澜曾多次提到,刘銮雄家中的私房厨师水平极高,甚至许多香港顶级名厨都比不上。大刘对食材的选择严苛到近乎偏执,例如鲍鱼、燕窝、顶级牛肉等,只选全世界最顶尖的品质。

    60111205374K viewsView on X
  • Aug 29, 202610x their median

    莫斯科在燃烧。这是普京愚蠢的结果!乌军刚用英国“风暴阴影”和法国SCALP巡航导弹,把俄罗斯第51集团军,位于顿涅茨克的总部给全爆了!导弹直接砸中了正在召开的俄军高级将领会议!第51集团军参谋长当场被送走,另有48名核心指挥人员失踪。俄罗斯现在仅能生产其所需汽油的约70%。乌克兰的无人机袭击使几家主要炼油厂停运,导致俄罗斯每天短缺约3.5万吨汽油。

    459412279K viewsView on X
  • Sep 22, 20269.7x their median

    罕见视频:马化腾这段采访太狠了!这是有多看不上周鸿祎?几句话把360的商业模式,扒得底裤都不剩。16年前,360老板周鸿祎,做个外挂把QQ劫持;16年后,杨植麟的Kimi,和梁文锋的DeepSeek等国产模型,商业模式与360类似,就是套壳,并将用户请求,透传(Proxy)给Claude来回答,最终酿成世界级的数据泄密惨剧。联想到AMD在12年内上涨500倍,可见科技巨头的灵魂人物,以及他们背后的价值观,是多么的重要。

    3897011499K viewsView on X
  • Aug 25, 20268.0x their median

    韩红必死局。这是罕见的韩红与妈妈、奶奶同框。满嘴谎话的哈佛女孩韩红,在妈妈雍西去世后,后台就倒了。可能很多人包括韩红自己也没意识到,韩红身处的是一个必死局。之前,韩红因为巨大的保护层,养成了飞扬跋扈的习惯;如今,社会环境变了,老百姓口袋瘪了,也就不再容忍了。韩红只是倒下的第一个,可谓一触即发。 以前蹦哒的时候,就知道早晚要现原形。一笔订单为何引爆信任危机?2023至2024年,韩红爱心慈善基金会,累计向上海均奕汽车科技有限公司,支付约6004.7万元采购救护车。这家公司的工商信息随后被网友翻出:注册资本300万,实缴仅10万,社保参保人数2人,注册地址是虚拟挂靠点,且不具备救护车改装资质与二三类医疗器械经营许可。 韩红最大的问题不是吹牛哈佛女孩,而是贪腐、洗钱和非法集资。义诊一次都走帐4千万,上午摆拍完,下午人就不在跑路了,救护车2次走帐6千万,左手倒右手做假帐,到广西水灾,现金只有200万了,帐上躺5个亿留着理财,留着过年呢?一方面韩红确实在为过去各种言论买单。另一方面,对冲舆论的支持者在这几年已经没了,反对的声音巨量放大,形成海啸。再者政治形势已经变了,还得顺着民意严查。这就是必死局。

    3295714187K viewsView on X
  • Sep 7, 20267.6x their median

    范冰冰演戏不错,比景甜强很多。范冰冰刚出演日本作家改编的电影“疯癫老人日记”,疑似真空上阵,有点豁出去的感觉。这部文艺片,就是为了冲奖去的,由美籍华裔导演王颖执导,日本、美国及欧洲团队联合制作的国际合拍电影。该片改编自日本文学大师谷崎润一郎的同名短篇小说,范冰冰在片中饰演女主角(儿媳“佐津子”),与中川雅也、工藤夕贵、斋藤工等日本演员联袂主演。

    3432160133K viewsView on X
  • Aug 27, 20267.3x their median

    景甜和孙宇晨背后,并不是简单的爱情。景甜诚实地说:“女子要靠自己的才华,先去抱一条好的大腿,然后在大腿的护佑下,自己也变成一个挺厉害的人”。之前,景甜抱的大腿很粗,王思聪都吓得惹不起。这次,孙宇晨敢起诉景甜,拿回3000万彩礼,奶子也想白摸,说明景甜的靠山变弱… https://t.co/zJeWR9jHsB

    30737124258K viewsView on X
  • Aug 29, 20265.5x their median

    一位听床师的判断:孙宇晨与景甜之间,就是单纯的付费陪游,再到买卵子的交易;只是进行到第二步,买家孙宇晨反悔了,喜提卖家景甜拉黑;最后孙宇晨想通过彩礼名义,请律师打官司追回来。按这个思路,景甜纯纯被做局了?假买卵子实际上就是为留痕拿把柄?这是孙宇晨视角,在马尔代夫索尼瓦贾尼岛,景甜接受3000万求婚彩礼,眼睛里全是爱的光芒,万万没想到,等待她的是富豪小作文的反噬。目前的事实和真相,只有1%。譬如,孙宇晨与景甜的第一次见面,是谁介绍的?目的是什么?

    2501441294K viewsView on X
  • Sep 5, 20265.1x their median

    演员刘涛,比景甜的运气差太多?刘涛的颜值和演技,都超过景甜,最后还是因为读书太少,认识了山寨富豪王珂。汪小菲、汪雨、王烁、王珂等“京城四少”里,没有一个名副其实,但王珂学历、财富和家境全部垫底。2008年王珂突然负债4亿元,怪罪金融危机;2010年刘涛复出,4年狂接25部戏,帮老公还清债务;2020年炒比特币亏12亿元,虽然明确被否认,但炒币巨亏是事实;2022年炒LUNA又亏3.5亿元,终于赔光夫妻积蓄,也被刘涛明确否认,但老公就是炒币爆仓的,并被币圈指认。顶级美女演员,应该找个学历高的富人,把下一代的智商提高上去,是唯一选择,但美女考虑更多是情绪价值。

    2212322261K viewsView on X
  • Aug 23, 20264.4x their median

    韩红即将被捕?下一个那英?韩红非法集资大案,目前进入立案调查程序的,是韩红基金会供应商“上海均奕汽车科技有限公司”。北京市民政局,也已受理针对基金会的举报并正在核查。供应商被立案,说明有实质证据,不是口头举报那种。均奕公司实缴资本仅10万元,参保员工仅2人,无实际办公场地,不具备救护车改装资质及二类、三类医疗器械经营许可。请哈佛女孩韩红解释一下:北京德恒乾坤医疗器械公司和奥星教育科技公司是怎么回事?它们和韩红基金会有多少关联交易?有多少利益输送?洗钱了多少?

    182350162K viewsView on X
  • Aug 24, 20264.4x their median

    江苏首富张近东,被许家印坑得最惨:不但钱被坑200亿,自己被边控,后婚的江苏电视台主持人陈怡也已离他而去。2017年,许家印前往南京,以极低姿态与张近东称兄道弟,甚至喝下交杯酒。在恒大回A股上市的宏大叙事下,张近东不仅掏空了苏宁的流动资金,还背负了巨额的个人担保。 https://t.co/IBXMbJxEkI

    1823300123K 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 49 interactions against 423K followers, an engagement rate of 0.012%. Measured over 64 original posts, its engagement rate beats 36% 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 23K times each, and 0.214% of those impressions turn into an interaction. That is about 5.41% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4 posts a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 01:00 UTC, and Friday is the busiest day of the week. Of the 64 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 718 interactions, about 15x its own typical post.

What is 亚洲金融 Asia Finance's engagement rate on X?
亚洲金融 Asia Finance (@AsiaFinance) has an engagement rate of 0.012%, based on the median interactions across 64 original posts from the last 30 days against 422,732 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.012%, 亚洲金融 Asia Finance 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 @AsiaFinance have real engagement?
Its engagement rate beats 36% 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 @AsiaFinance post?
Most posts go out around 01:00 UTC, and Friday is its busiest day, at roughly 4 posts per day across the measured window.

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