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VINCENTXXBB engagement report

@vincentxxbb - 345K followers on X

Measured over 6 original posts from a 30-day window, last computed on October 12, 2026.

Engagement

Per follower
2.13%
of 345K followers
Per impression
1.77%
390K views on a typical post
Reach
120.1%
of its followers see a post
Typical post
6.9K
interactions (median)
Saved
0.598%
2.3K bookmarks on a typical post
Posting rate
0.7/day
active 27% of days
Peak time
12:00 UTC
Wednesday

Early reading. We have captured 6 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 6.9K interactions against 345K followers, an engagement rate of 2.13%. Posts are seen about 390K times each, and 1.77% of those impressions turn into an interaction. That is about 113.0% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.7 post a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 12:00 UTC, and Wednesday is the busiest day of the week. Of the 6 posts sampled, 100% carry an image or video and 17% are part of a thread. The account's strongest tracked post pulled 23K interactions, about 3.3x its own typical post. Recurring topics include #bbc, #反差, #外国人. Only 6 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 6 original posts from a 30-day window, last computed on October 12, 2026. Recurring tags: #bbc, #反差, #外国人.

Where this sits in the catalog

At 2.13%, VINCENTXXBB sits above the 75th percentile of the 204,694 accounts in this comparison. That places it in the top 25% band, which runs 0.677% to 2.55%.

p100.004%
p250.024%
p50 (median)0.143%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,694 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,880 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 percentile0.677%
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 12:00 UTC, and Wednesday 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: 12:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 12:00 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 97 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 26, 20263.3x their median

    展示一下插完的嫩穴,这个特写有感觉吗 @ToBulaer @ToBuerma @KawasawaSen #BBC #反差 #外国人 https://t.co/W3A8Wkbsb8

    21K1.2K00996K viewsView on X
  • Aug 13, 2025

    wataa #3p #母狗 #调教 #女大学生反差 https://t.co/W67dnoSLi4

    12K522011.5M viewsView on X
  • Sep 18, 20261.7x their median

    24苗条美女主动联系要试试黑🐔,直接安排三个BBC车轮战🥵 @ToBulaer @ToBuerma @KawasawaSen #BBC #反差 #外国人 https://t.co/lxuCoDv7dc

    11K69103775K viewsView on X
  • Nov 5, 20251.7x their median

    兄弟们,你们要看的大三女神确定这个周末返场,上周末忽悠我说有事约不了,今天才知道自己跟黑哥们单约了,还是黑哥们跟我说的,难受了,被我戳穿了才说要补偿我一下😌,先来一段上次约的 #女大学生 #反差女大 #黑人留学生 #BBC @Xiaoxiaofoer @MitsumeDoji @OoniDevil https://t.co/KNzJg85glF

    11K689041.3M viewsView on X
  • Oct 28, 20251.5x their median

    大三女神这是被操服了,射了第一次两个人又躺着啃上了,来之前还有点叫嚣,我问她英语怎么样,受不了要会喊stop,她说只会喊oh yes 就行了😂沟通还是没问题的。所以有这方面顾虑的,虽然黑哥们的语言是不通的,但是不影响正事🫰 #女神 #留学生 #BBC #反差女大 @Xiaoxiaofoer @MitsumeDoji @OoniDevil https://t.co/YXmYncyvVb

    9.9K531051.4M viewsView on X
  • Feb 8, 2026

    女粉丝被大黑🐔后入,看得我都有感觉了 #黑人 #反差 #人妻 #绿帽 @Xiaoxiaofoer @Xiaoxiaoyyii @MitsumeDoji @TaoHuaBang https://t.co/u9iu07mypv

    9.7K545001.1M viewsView on X
  • Nov 10, 2025

    你们要的大三女神返场来了,催的人太多了,昨晚一到家就剪视频(下回再催更请打💰给我点动力谢谢😌)一个礼拜没艹上来就被大黑🍆后入,直接受不了了🥵 #BBC #反差女大学生 #黑人留学生 #女神 @KawasawaSen @ToBulma @ToBulaer @BulmaList https://t.co/maZsCPXm6H

    9.6K626011.3M viewsView on X
  • Oct 30, 2025

    大三女神开始还说要戴套,第二次做的时候就让内射了,果然上头了就会失去理智吗,最后献上几张被内射的照片 #女大学生 #黑人留学生 #女神 #反差女大学生 @ToBulma @ToBulaer @KawasawaSen @BulmaList https://t.co/EyG5WpkvU5

    9.2K568011.3M viewsView on X
  • Nov 13, 2025

    小女神被大黑牛子打桩,爽的脚趾都攥紧了,不让内射只好射嘴里了💦 #黑人留学生 #反差女大学生 #女神 #绿帽视角 #BBC @KawasawaSen @ToBulma @ToBulaer @BulmaList https://t.co/o3zrqT97t6

    8.7K635021.2M viewsView on X
  • Mar 26, 2026

    03小m再约黑哥们🔥🔥🔥亲手戴上套子,这个姿势你们喜欢吗 @KawasawaSen @ToBuerma @ToBulaer @BulmaList #QOS #BBC #反差 #黑人 https://t.co/7VbinTCbQ0

    8.1K471011.3M 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

#bbc#反差#外国人#12baegirl#nsfw

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 6.9K interactions against 345K followers, an engagement rate of 2.13%. Posts are seen about 390K times each, and 1.77% of those impressions turn into an interaction. That is about 113.0% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.7 post a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 12:00 UTC, and Wednesday is the busiest day of the week. Of the 6 posts sampled, 100% carry an image or video and 17% are part of a thread. The account's strongest tracked post pulled 23K interactions, about 3.3x its own typical post. Recurring topics include #bbc, #反差, #外国人. Only 6 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 VINCENTXXBB's engagement rate on X?
VINCENTXXBB (@vincentxxbb) has an engagement rate of 2.13%, based on the median interactions across 6 original posts from the last 30 days against 344,897 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 2.13%, VINCENTXXBB sits above the 75th percentile of the 204,694 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 @vincentxxbb have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @vincentxxbb post?
Most posts go out around 12:00 UTC, and Wednesday is its busiest day, at roughly 0.7 posts per day across the measured window.

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