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江峰 engagement report

@realjiangfeng - 353K followers on X

Measured over 48 original posts from a 30-day window, last computed on October 6, 2026.

Engagement

Middle of its size range
Per follower
0.007%
of 353K followers
Per impression
0.145%
16K views on a typical post
Reach
4.58%
of its followers see a post
Typical post
24
interactions (median)
Saved
0.006%
1 bookmarks on a typical post
Posting rate
1.7/day
active 60% of days
Peak time
10:00 UTC
Monday

A typical post picks up 24 interactions against 353K followers, an engagement rate of 0.007%. Measured over 48 original posts, its engagement rate beats 29% 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 16K times each, and 0.145% of those impressions turn into an interaction. That is about 4.58% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.7 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 10:00 UTC, and Monday is the busiest day of the week. Of the 48 posts sampled, 96% link out. The account's strongest tracked post pulled 1.0K interactions, about 43x its own typical post.

Measured over 48 original posts from a 30-day window, last computed on October 6, 2026.

Compared with accounts its own size

江峰's engagement rate beats 29% 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 10% 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 0.007%, 江峰 sits above the 10th percentile of the 204,798 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 204,798 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,879 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 10:00 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: 10:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 10:00 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 video4% of posts+111%+108% to +115%34K
Outbound link96% of posts-41%-42% to -40%32K
Typical length--8%-9% to -7%41K
  • 4% 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.
  • 96% 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 76 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

  • Sep 11, 202643x their median

    习上任之初,出访蒙古,想学普京装硬汉,谁料身体早已被酒色掏空了,连弓弦都拉不开。当场出丑不要紧,却把挑200斤走十里山路不换肩的谎言给揭穿了。https://t.co/gM5OTPp3eG

    754692133744K viewsView on X
  • Sep 4, 202614x their median

    你们说在墙内敢说、敢写特别是还敢露脸的,都是被中共收买的特务。 被打压胁迫或勒令突然不说、不写或者不再露脸了,你们说这就是拿钱闭嘴的铁证! 被限制离境、边控、喝茶、训诫乃至“指居”、拘留你们说这是自导自演、是卖惨骗钱、是配合中共演戏。 想尽办法离开了中国,你们又断言这肯定是被收买了、认怂了、达成协议了、带上任务了…. 对于恶猜袁腾飞的这票坏逼和傻逼,我只想问候你们的亲娘祖奶奶

    2811930332K viewsView on X
  • Aug 25, 20266.5x 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
  • Sep 11, 20263.8x their median

    習近平訪美前急買大豆仍遭美方羞辱;劉翔脫離體制、老梁、袁騰飛“潤”的真實內幕:中共人質政治的前世今生【江峰漫談20260910第1271期】 https://t.co/enuxPnXkvY 来自 @YouTube

    33354016K viewsView on X
  • Sep 8, 20263.7x their median

    習近平最怕的一幕:人民公社回來了,人民軍隊卻去哪了?張又俠倒台後西藏救災僅726人,原因在這裡【江峰漫談20260907第1269期】 https://t.co/78WmfxkCyv via @YouTube

    20167017K viewsView on X
  • Aug 26, 20263.5x 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
  • Sep 10, 20263.5x their median

    趙小蘭是統戰幹部?家族40年中國線曝光!麥康奈爾財富暴增、關鍵投票一路利好北京;加拿大卡尼又重走老路?統戰最高境界在此【江峰漫談20260909... https://t.co/o9jPzlITLF via @YouTube

    24355117K viewsView on X
  • Sep 10, 20263.3x their median

    習近平退位跡象瞞不住了!五中前江浙滬老巢變天,李強為接班倒向胡溫!民企路線急轉彎、內蒙古清算舊打法,王小洪公安線也動了!【江峰視界2026091... https://t.co/TZtyZga4l3 via @YouTube

    25053019K viewsView on X
  • Sep 8, 20263.3x their median

    獨家:軍中倒查12年!張又俠遺言流出、張家出逃時間不對勁,軍報再喊「肅清流毒」;習近平怕的不是張又俠,是第二次兵變?【江峰視界20260908第... https://t.co/6N3062GA7I via @YouTube

    23154019K viewsView on X
  • Sep 5, 20263.2x their median

    五中全會 胡錦濤立三條規矩:習近平不能提名接班人!曾慶紅要海選,軍隊有否決票;上海換市長,李強接班徹底沒戲 【江峰視界20260905第480期】 https://t.co/A6gZ8wvJ46 来自 @YouTube

    17256120K 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 24 interactions against 353K followers, an engagement rate of 0.007%. Measured over 48 original posts, its engagement rate beats 29% 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 16K times each, and 0.145% of those impressions turn into an interaction. That is about 4.58% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.7 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 10:00 UTC, and Monday is the busiest day of the week. Of the 48 posts sampled, 96% link out. The account's strongest tracked post pulled 1.0K interactions, about 43x its own typical post.

What is 江峰's engagement rate on X?
江峰 (@realjiangfeng) has an engagement rate of 0.007%, based on the median interactions across 48 original posts from the last 30 days against 352,877 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.007%, 江峰 sits above the 10th percentile of the 204,798 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 29% 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 @realjiangfeng post?
Most posts go out around 10:00 UTC, and Monday is its busiest day, at roughly 1.7 posts per day across the measured window.

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