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宏观边际MacroMargin engagement report

@MacroMargin - 201K followers on X

Measured over 20 original posts from a 30-day window, last computed on October 9, 2026.

Engagement

Middle of its size range
Per follower
0.07%
of 201K followers
Per impression
0.312%
45K views on a typical post
Reach
22.5%
of its followers see a post
Typical post
140
interactions (median)
Saved
0.114%
51 bookmarks on a typical post
Posting rate
2.33/day
active 63% of days
Peak time
02:00 UTC
Monday

A typical post picks up 140 interactions against 201K followers, an engagement rate of 0.07%. Measured over 20 original posts, its engagement rate beats 52% of 21,185 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 45K times each, and 0.312% of those impressions turn into an interaction. That is about 22.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.3 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 02:00 UTC, and Monday is the busiest day of the week. Of the 20 posts sampled, 80% carry an image or video, 40% are part of a thread and 10% link out. The account's strongest tracked post pulled 1.3K interactions, about 9.2x its own typical post.

Measured over 20 original posts from a 30-day window, last computed on October 9, 2026.

Compared with accounts its own size

宏观边际MacroMargin's engagement rate beats 52% of the tracked X accounts closest to it in follower count (21,185 accounts, accounts of similar size (decile 9 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 18% 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 0.07%, 宏观边际MacroMargin sits above the 25th percentile of the 212,146 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.146%.

p100.004%
p250.025%
p50 (median)0.146%
p750.694%
p902.61%
p9983.1%
Engagement rate as a share of followers, across the 212,146 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,455 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 percentile0.025%
50th percentile0.146%
75th percentile0.694%
90th percentile2.61%
99th percentile83.1%

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 02:00 UTC, and Monday 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: 02:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 02:00 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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
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 video80% of posts+111%+108% to +115%34K
Outbound link10% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 80% 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.
  • 10% 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 185 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

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

  • Sep 3, 20269.2x their median

    美国三大仙人都有自己的操作标的 特朗普就是在布油70-90美元之间做T,到70美元了就打一下伊朗,90美元了再taco。 贝森特就是看美债收益率,30年期美债收益率到5.2%了,就发动嘴炮。 沃什就是看9月加息概率,加息概率掉到30%了就硬一下,涨到70%了就阿巴阿巴一下。 三大仙人各玩各的,彼此又独立又相互干扰

    1.0K10913311180K viewsView on X
  • Mar 2, 20266.9x their median

    https://t.co/nilC7sHV48

    6461354411987K viewsView on X
  • Sep 28, 20265.1x their median

    The most important question for global markets right now: Can these two co-exist? The Unstoppable Object vs The Immovable Force https://t.co/38t3faFRXQ

    601623016130K viewsView on X
  • Sep 7, 20263.6x their median

    A股半年报全部披露,营收增速7%远超GDP增速,利润增速15%,数据不可谓不好,但为什么普通人对经济的体感这么差。 一篇短文梳理了近10年A股营收的增速与结构变化,从产业结构讲清楚温差,事实上A股中与普通人相关的行业财务表现和体感一样差。 面对固执的政策和强大的产业趋势,普通人只能顺势而为。 https://t.co/Fc6C5RA7ZP

    35150998149K viewsView on X
  • Sep 16, 20262.6x their median

    如果做投资的话,一定要对所有KOL祛魅,是所有,也包括那些被捧上神坛的投资大佬们。 要识别不错的KOL,主要看两点: 一是,看“消息准不准”,就是否有自己靠谱的消息源。 比如X的鲁社长(中国人事)、WSJ的魏玲灵(中国高层小道消息,近两年不行了),以及号称新美联储通讯社的Nike Timiraos(美联储小道消息,但Warsh上来后有些失宠了)... 二是,看“逻辑对不对”,即做出判断时,是否讲清楚逻辑、是否经得起论证,而不是纯拍脑袋。 比如中国人事观察,可能没有什么“知情人士”消息,但其通过公开信息(出席、座次甚至衣着),也能提前推测出人事变化... 再拿美联储是否加息这事儿来说,有些KOL会跟你说不会加息,有些会跟你说要加息,但要拿出具体分析逻辑(且不论对不对),否则就是瞎猜,事后又说“正如我的预期”,这不耍流氓吗

    3112525758K viewsView on X
  • Aug 31, 20262.6x their median

    今年以来给消费贷贴息,买房降首付、延长贷款期限、提高增加公积金贷款额度等等....想方设法催促居民加杠杆。 这一系列政策,都可以用这张图做解释, 从今年2月开始,居民新增人民币贷款,历史性转负,且转负后,斜率依然很陡。 之前居民贷款,最多只是增速放缓, 而今年开始,正式进入存量减少的阶段,真正的居民去杠杆开始了

    2524265984K viewsView on X
  • Jul 14, 20262.5x their median

    对于《扩大消费“十五五”规划》,最重要的就是消费目标, 一是定性目标,是之前十五五规划提出的“居民消费率明显提高”, 用的“明显提高”一词,加之当时一些核心智囊和官媒建议,“像过去抓投资那样抓消费”,这让很多人对十五五刺激消费有不小幻想。 我去年专门写文反驳了这样的高期待,认为十五五主线是“大炼科技、产业跃迁”,消费啥的都是辅线,只要求稳定就行。 二是定量目标,也就是昨天公布的目标,是“社会消费品零售总额达到60万亿元左右”,印证了我去年的分析。 将十五五目标趋势测算如下,显然,这个目标隐含的是,稳定疫情后的消费趋势不崩即可,没打算让消费重回疫情前的趋势。 这意味着,对应的消费和民生的相关政策,也就自然不要有过多期待,这些都是辅线。 相应的,对于科技和产业,政策力度将是“超常规”的。

    25324674312K viewsView on X
  • Aug 28, 20262.2x their median

    Warsh今晚这篇鹰派十足的讲话稿,我觉得很妙,确实是当下美联储和财政部,最好的选择。 估计Warsh找Bessent一起打磨了这篇稿子。 从Warsh角度,短期最紧迫的事是什么?是信任危机,表现为长端美债要求更高的期限溢价。新主席上来,必须先站稳脚跟。 从Bessent角度,短期最紧迫的事是什么?也是长端美债问题,本质也是美元信任的问题。即使财政部付息压力主要集中在短端,但长端现在更为紧迫。 因此,这篇稿子,要解决这两个最紧迫的问题: Warsh要解决市场对他的信任问题,要充分表达自己不是川普走狗,必要时也会果断加息。 Bessent要解决近期长债抛售的问题,按住期限溢价。 于是,Warsh这篇稿子只有鹰派十足,才能达到以上两个目的。 结果就是,牺牲短端,去救长端。(如下图,讲话后长短端美债劈叉严重) 好一个围魏救赵!

    2373139456K viewsView on X
  • Aug 29, 20262.0x their median

    怎么看最长房贷从30年延长到40年? 当然是好政策,和降低首付比一样,让继续加杠杆嘛。 土地财政本质是用高房价替代高税收, 以前掏空三代人、六个钱包买一套房,每代人算30年,三代人就是90年,“鹅城的税收到90年以后了”。 90年不够怎么办,那就120年,三代人各40年。 https://t.co/XGxaHAr1eX

    1941669869K viewsView on X
  • Sep 21, 20262.0x their median

    本周中美即达成元首会晤,刚才双方也释放经贸会谈的初步成果(也将是中美元首会晤的初步成果),目前包括: 1、贸易理事会投入运作、非敏感商品互降关税; (这是上次访华的成果,这次走向落地,一鱼两吃) 2、AI“共同风险”领域的对话,如建立风险通报机制; (这是上次访华谈了但没谈好的成果,这次更加紧迫,要进一步推进共识,但共识非常有限,双方都想掐死对方,都把AI竞争,看作是国运之争。因此共识进行仅限于“共同风险”领域) 2.1、AI相关的出口管制没进展,甚至说“不在议程之上”。 (以上几点目前均符合我在最新周报中的前瞻预判,但最终访美成果远不止这么点儿) 3、中方的经贸磋商通稿,对磋商的评价是“坦诚、深入、富有建设性”,提的是“富有建设性”,这是相对比较积极的评价了。 一般情况下,大致积极程度: 实质性(瑞士谈判)>富有建设性(马来西亚、瑞典谈判)>建设性(法国、韩国谈判)>不提建设性... 继续等待这几天的更多信息....

    2163728489K 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 140 interactions against 201K followers, an engagement rate of 0.07%. Measured over 20 original posts, its engagement rate beats 52% of 21,185 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 45K times each, and 0.312% of those impressions turn into an interaction. That is about 22.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.3 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 02:00 UTC, and Monday is the busiest day of the week. Of the 20 posts sampled, 80% carry an image or video, 40% are part of a thread and 10% link out. The account's strongest tracked post pulled 1.3K interactions, about 9.2x its own typical post.

What is 宏观边际MacroMargin's engagement rate on X?
宏观边际MacroMargin (@MacroMargin) has an engagement rate of 0.07%, based on the median interactions across 20 original posts from the last 30 days against 200,764 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.07%, 宏观边际MacroMargin sits above the 25th percentile of the 212,146 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 @MacroMargin have real engagement?
Its engagement rate beats 52% of the tracked X accounts closest to it in follower count (21,185 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 @MacroMargin post?
Most posts go out around 02:00 UTC, and Monday is its busiest day, at roughly 2.33 posts per day across the measured window.

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