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董小姐(重生版)| Gate WCTC S9全球交易赛 engagement report

@KICKDENIM - 76K followers on X

Measured over 7 original posts from a 30-day window, last computed on September 12, 2026.

Engagement

Per follower
0.02%
of 76K followers
Per impression
1.87%
803 views on a typical post
Reach
1.09%
of its followers see a post
Typical post
15
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
0.37/day
active 20% of days
Peak time
07:00 UTC
Thursday

Early reading. We have captured 7 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 15 interactions against 76K followers, an engagement rate of 0.02%. Posts are seen about 803 times each, and 1.87% of those impressions turn into an interaction. That is about 1.06% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.37 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 07:00 UTC, and Thursday is the busiest day of the week. Of the 7 posts sampled, 100% carry an image or video and 14% are part of a thread. The account's strongest tracked post pulled 51 interactions, about 3.4x its own typical post. Only 7 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 7 original posts from a 30-day window, last computed on September 12, 2026. Recurring tag: #新头像.

Where this sits in the catalog

At 0.02%, 董小姐(重生版)| Gate WCTC S9全球交易赛 sits above the 10th percentile of the 205,048 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 205,048 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 07:00 UTC, and Thursday 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: 07:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 07:00 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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-no effect-2% to -1%42K
  • 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 183 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 10, 20263.4x their median

    呜呜呜真的有点想哭😭 之前的号明明好好用着,突然就被封了,一点预兆都没有…… 那种一觉醒来发现家没了的懵圈感,谁懂啊!!! 然后就是漫长的申诉期—— 每天醒来第一件事:查邮件、看反馈、刷新状态…… 填表、提交、等回复……填表、提交、再等…… 快一个月了,一条回复都没有,完完全全石沉大海🌊 像对着一个黑洞拼命喊话,连个回音都听不到🥹 最后连一句“维持原判”都没等到,就这么……无声无息地没了。 那段时间超级难过,感觉像弄丢了一个装满回忆的小盒子。 里面有关注我的你们,有熬夜写的碎碎念,有好不容易攒起来的小成绩…… 一下子全没了,说不沮丧是假的。 但是!!! 我想了很久,还是舍不得这里,舍不得你们💕 所以——我胡汉三又回来啦!!! 全新账号,全新开始,从零出发! 虽然现在空空如也,但没关系呀~ 我会一点点把它重新填满的! 发可爱日常、碎碎念、还有你们喜欢的内容~ 这次一定好好养号,乖乖遵守规则,再也不浪了😤 所以…… 可以再给我一次机会吗? 重新认识一下,重新关注我好不好~ 这次,我们慢慢来,一起把这个小窝建起来!🏠✨ 以后也请多多关照啦~💗

    2312701.3K viewsView on X
  • Oct 9, 20222.0x their median

    tes

    170130View on X
  • Sep 11, 20261.8x their median

    震惊😱南京乡村小学的伙食这么好, 一顿才10块人民币! 我想问一下我也能搭个伙么 https://t.co/2Ank4i9B8k

    130140829 viewsView on X
  • Sep 12, 20261.5x their median

    中秋节马上到啦!我也没什么好送给大家的可以进我社区抽个周边吧 https://t.co/xQrIC7SREz

    112100479 viewsView on X
  • Sep 10, 2026

    蝴蝶人生~AVe热一,三把火🔥🔥🔥己预定即将登陆!热度预热启动,全球暴光 速度上车 目标🔥🔥🔥 第一目标:15天之内送上阿尔法 V V V 第二目标:30天之内送上币安现货 V V 第三目标,启动生态链上银行🏦 财富密码合约0x87ae267002cd1ea0ec86bf3601d4a8ad76a47777✨社群中文快讯版 BNB Chain DappBay Meme排行榜第一周榜单出炉! 统计周期9.4–9.11,本期仅bstock交易对入榜。 榜单TOP5全部属于Flap生态 🥇牛来 🥈MarsCoin 🥉memestock 4️⃣Stonks 5️⃣蝴蝶人生 后续更多代币化股票交易对会陆续加入榜单。 蝴蝶人生合约地址:0x87ae267002cd1ea0ec86bf3601d4a8ad76a47777 感谢蝴蝶🦋🦋感谢BNB China#腾讯会议:911-853-394 QQ群:709676332 QQ群:1102106629

    102301.3K viewsView on X
  • Sep 6, 2026

    周末快乐呀🌊☀️ 偷偷给自己放个小假, 吹吹海风,晒晒太阳, 看一会儿蓝蓝的海,心情也跟着变好了。 今天没有什么特别的安排, 就负责开开心心过周末就好啦~ 希望看到这条的你, 这个周末也有一点点小开心呀💗🌴 https://t.co/kRUysUE1cW

    7040803 viewsView on X
  • Sep 4, 2026

    #新头像 https://t.co/DSYtKh7gGt

    4010572 viewsView on X
  • May 4, 2023

    Menyapa para followers ku.

    20201.4K viewsView on X
  • Sep 5, 2026

    石径铺光向碧垓, 椰阴轻落绿茵开。 遥天与我同澄澈, 一念随风到海来。 ——今日心情,正如这蓝空碧海,透亮、安静,又微微带着风的自由。 https://t.co/vFA4893yGy

    3000639 viewsView on X
  • Oct 7, 2023

    Selamat siang gaes!

    10202.9K 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

#新头像

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 15 interactions against 76K followers, an engagement rate of 0.02%. Posts are seen about 803 times each, and 1.87% of those impressions turn into an interaction. That is about 1.06% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.37 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 07:00 UTC, and Thursday is the busiest day of the week. Of the 7 posts sampled, 100% carry an image or video and 14% are part of a thread. The account's strongest tracked post pulled 51 interactions, about 3.4x its own typical post. Only 7 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 董小姐(重生版)| Gate WCTC S9全球交易赛's engagement rate on X?
董小姐(重生版)| Gate WCTC S9全球交易赛 (@KICKDENIM) has an engagement rate of 0.02%, based on the median interactions across 7 original posts from the last 30 days against 75,850 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.02%, 董小姐(重生版)| Gate WCTC S9全球交易赛 sits above the 10th percentile of the 205,048 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 @KICKDENIM have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @KICKDENIM post?
Most posts go out around 07:00 UTC, and Thursday is its busiest day, at roughly 0.37 posts per day across the measured window.

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