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BANBAN(10.30-11.01南京) engagement report

@BANXIANSHENG1M - 173K followers on X

Measured over 4 original posts from a 30-day window, last computed on September 27, 2026.

Engagement

Per follower
0.945%
of 173K followers
Per impression
2.97%
45K views on a typical post
Reach
31.8%
of its followers see a post
Typical post
1.4K
interactions (median)
Saved
0.548%
249 bookmarks on a typical post
Posting rate
0.6/day
active 13% of days
Peak time
02:00 UTC
Saturday

Early reading. We have captured 4 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 1.4K interactions against 173K followers, an engagement rate of 0.945%. Posts are seen about 45K times each, and 2.97% of those impressions turn into an interaction. That is about 26.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.6 post a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 02:00 UTC, and Saturday is the busiest day of the week. Of the 4 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 26K interactions, about 19x its own typical post. Recurring topics include #nsfw, #成人内容, #sm. Only 4 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 4 original posts from a 30-day window, last computed on September 27, 2026. Recurring tags: #nsfw, #成人内容, #sm.

Where this sits in the catalog

At 0.945%, BANBAN(10.30-11.01南京) sits above the 75th percentile of the 218,281 accounts in this comparison. That places it in the top 25% band, which runs 0.705% to 2.63%.

p100.004%
p250.025%
p50 (median)0.149%
p750.705%
p902.63%
p9982.5%
Engagement rate as a share of followers, across the 218,281 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 21,721 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 percentile0.149%
75th percentile0.705%
90th percentile2.63%
99th percentile82.5%

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 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: 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: 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 video100% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 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 113 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

  • Sep 8, 202619x their median

    骚0的屌比我大,快要射了却不让我射,真是耐0一个,汗液浸润肌肤,两个人相互交融抱操高频打桩,我的肉臀DUANGDUANG的,看的我自己都想操我自己。 https://t.co/eU5MWxZiA1

    23K3.0K2616536K viewsView on X
  • Sep 26, 20261.6x their median

    喂饱了我那喜欢哼哼唧唧的白皮肌肉骚老婆,无脑🧠黑🐶也要开始享用美食了。舔遍每一个脚趾缝和脚底板,深深吸入臭脚的味道顶级过肺。打桩出来的咸腥泡沫奶油挂壁在粉嫩外翻的玫瑰花蕊上,当舌头去亲吻舔吸交织相溶的那一刻,这是我的前列腺液精液和老婆的肠液共同创造的美味。😋 黑皮贱狗🐶:@BANXIANSHENG1M 白皮肌肉🍑:@GYP5R09O5IcLsax

    2.0K1891069K viewsView on X
  • Sep 26, 2026

    网友们内心OS:你和我说这是同一个人?扒了狗皮奴性就完全控制不住了,任何时间任何地点都能无脑发骚。不知道摄影师拍照的时候有没有发掘他是一条狗哦,会不会和摄影师发生点什么?这贱狗一定吃过摄影师的脚喝过尿,说不定啊还…… https://t.co/toMrLlQ1dl

    435391021K viewsView on X
  • Sep 27, 2026

    骚逼在楼道里发骚,快来调教 #尿壶无脑恶堕狗1 https://t.co/LzuoSezpK7

    973401.7K 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.

Recurring topics

#nsfw#成人内容#sm#丝袜#尿壶无脑恶堕狗1

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 1.4K interactions against 173K followers, an engagement rate of 0.945%. Posts are seen about 45K times each, and 2.97% of those impressions turn into an interaction. That is about 26.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.6 post a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 02:00 UTC, and Saturday is the busiest day of the week. Of the 4 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 26K interactions, about 19x its own typical post. Recurring topics include #nsfw, #成人内容, #sm. Only 4 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is BANBAN(10.30-11.01南京)'s engagement rate on X?
BANBAN(10.30-11.01南京) (@BANXIANSHENG1M) has an engagement rate of 0.945%, based on the median interactions across 4 original posts from the last 30 days against 172,903 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.945%, BANBAN(10.30-11.01南京) sits above the 75th percentile of the 218,281 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 @BANXIANSHENG1M have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @BANXIANSHENG1M post?
Most posts go out around 02:00 UTC, and Saturday is its busiest day, at roughly 0.6 posts per day across the measured window.

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