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江峰 engagement report

@realjiangfeng - 353K followers on X

Measured over 31 original posts from a 30-day window, last computed on September 2, 2026.

Engagement

Middle of its size range
Per follower
0.011%
of 353K followers
Per impression
0.26%
15K views on a typical post
Reach
4.25%
of its followers see a post
Typical post
39
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
1.03/day
active 37% of days
Peak time
15:00 UTC
Friday

A typical post picks up 39 interactions against 353K followers, an engagement rate of 0.011%. Measured over 31 original posts, its engagement rate beats 28% of 6,874 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 15K times each, and 0.26% of those impressions turn into an interaction. That is about 4.24% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1 post a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 15:00 UTC, and Friday is the busiest day of the week. Of the 31 posts sampled, 100% link out. The account's strongest tracked post pulled 156 interactions, about 4.0x its own typical post.

Measured over 31 original posts from a 30-day window, last computed on September 2, 2026.

Compared with accounts its own size

江峰's engagement rate beats 28% of the tracked X accounts closest to it in follower count (6,874 accounts, accounts of similar size (decile 8 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 0.011%, 江峰 sits above the 10th percentile of the 66,128 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.016%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99119.9%
Engagement rate as a share of followers, across the 66,128 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 57,111 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 percentile0.002%
25th percentile0.016%
50th percentile0.1%
75th percentile0.499%
90th percentile2.09%
99th percentile119.9%

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 15:00 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: 15:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 15:00 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 video0% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length--8%-9% to -7%41K
  • 0% 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.
  • 100% 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 79 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

  • Aug 25, 20264.0x their median

    習近平真要「病退」?301醫院疑似習近平體檢MRI與「沒有第四任」同日瘋傳!五中全會前,誰在逼他體面退場?【江峰視界20260825第470期】 https://t.co/Ak444TAFWw via @YouTube

    153137117K viewsView on X
  • Aug 26, 20262.2x their median

    中紀委突然動了!張又俠案打亂程序,中共最不能公開的接班危機爆發。習近平上下皆死局【江峰漫談20260825第1259期】 https://t.co/E5CsxwGUfx 来自 @YouTube

    27553019K viewsView on X
  • Aug 29, 20261.9x their median

    習近平最後一次人大會議:曾慶紅賣掉張又俠收編習家軍,李作成放話人死了必須償命,軍隊進京方案十月還壓得住嗎?【江峰視界20260829第474期】 https://t.co/KF9zAZt5Tk via @YouTube

    24348019K viewsView on X
  • Aug 31, 20261.7x their median

    CIA局長密訪莫斯科:一架明飛俄國、一架人間蒸發!川普否認北約與伊朗,俄方爆料還有第二位美國神秘客人!梵蒂岡主教同天現身,真是巧合?【江峰奥妙2... https://t.co/EZwNxYxref via @YouTube

    18346014K viewsView on X
  • Sep 1, 20261.7x their median

    習近平專機剛離開,北京後院突變!五中全會前中辦大換血,蔡奇最關鍵的核心操盤手被調走,二十大胡錦濤被架走,團派開始復仇【江峰漫談20260831第... https://t.co/6NXI2Vf41m via @YouTube

    19245017K viewsView on X
  • Aug 31, 20261.7x their median

    溫家寶接管中辦,胡春華清算二十大舊債;習近平出國念稿,都不是自己人寫【江峰視界20260831第475期】 https://t.co/wxkSli5WAz via @YouTube

    28236018K viewsView on X
  • Aug 28, 20261.7x their median

    泥石流真相調查:慘劇一年前就警告了!55個冰湖壓在頭頂,中尼為何還把水電站修進死亡河谷?水電站沒潰壩,山卻先垮了:喜馬拉雅大開發正在付出什麼代價... https://t.co/hBGGjvsa8P 来自 @YouTube

    29531117K viewsView on X
  • Aug 25, 20261.7x their median

    90後千億首富抑鬱,宇樹科技股市過山車4天2000億蒸發,習家權力與江家資本聯手屠宰中國散戶;宇樹機器人藏真人,央視春晚黑幕【江峰漫談20260... https://t.co/sCr8Ui096i 来自 @YouTube

    16050017K viewsView on X
  • Aug 22, 20261.6x their median

    習近平在行動!中國富豪最後一道逃生門被堵!許家印前妻也沒躲過,中共新稅追到開曼、新加坡,離婚、信託、移民,一條退路都不留【江峰漫談2026082... https://t.co/ErXkAix0kV via @YouTube

    18145019K viewsView on X
  • Sep 1, 20261.6x their median

    習近平訪吉爾吉斯,歡迎儀式尷尬一幕被央視刪掉!《歌聲與微笑》唱出「遍野春花」,外交部早知情?王毅五中前風向變了!【江峰視界20260901第476期】 https://t.co/SAHCpGqJif via @YouTube

    14245013K 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 39 interactions against 353K followers, an engagement rate of 0.011%. Measured over 31 original posts, its engagement rate beats 28% of 6,874 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 15K times each, and 0.26% of those impressions turn into an interaction. That is about 4.24% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1 post a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 15:00 UTC, and Friday is the busiest day of the week. Of the 31 posts sampled, 100% link out. The account's strongest tracked post pulled 156 interactions, about 4.0x its own typical post.

What is 江峰's engagement rate on X?
江峰 (@realjiangfeng) has an engagement rate of 0.011%, based on the median interactions across 31 original posts from the last 30 days against 353,064 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.011%, 江峰 sits above the 10th percentile of the 66,128 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 @realjiangfeng have real engagement?
Its engagement rate beats 28% of the tracked X accounts closest to it in follower count (6,874 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 @realjiangfeng post?
Most posts go out around 15:00 UTC, and Friday is its busiest day, at roughly 1.03 posts per day across the measured window.

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