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Vvicky绵绵 engagement report

@vvickym2 - 79K followers on X

Measured over 22 original posts from a 30-day window, last computed on October 10, 2026.

Engagement

Middle of its size range
Per follower
0.124%
of 79K followers
Per impression
1.01%
9.7K views on a typical post
Reach
12.3%
of its followers see a post
Typical post
98
interactions (median)
Saved
0.005%
0 bookmarks on a typical post
Posting rate
2.2/day
active 77% of days
Peak time
08:00 UTC
Saturday

A typical post picks up 98 interactions against 79K followers, an engagement rate of 0.124%. Measured over 22 original posts, its engagement rate beats 55% of 21,624 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 9.7K times each, and 1.01% of those impressions turn into an interaction. That is about 12.4% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 08:00 UTC, and Saturday is the busiest day of the week. Of the 22 posts sampled, 95% carry an image or video and 18% link out. The account's strongest tracked post pulled 2.8K interactions, about 28x its own typical post.

Measured over 22 original posts from a 30-day window, last computed on October 10, 2026. Recurring tag: #okxnow.

Compared with accounts its own size

Vvicky绵绵's engagement rate beats 55% of the tracked X accounts closest to it in follower count (21,624 accounts, accounts of similar size (decile 7 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 41% 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 0.124%, Vvicky绵绵 sits above the 25th percentile of the 217,857 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.149%.

p100.004%
p250.025%
p50 (median)0.149%
p750.705%
p902.63%
p9982.6%
Engagement rate as a share of followers, across the 217,857 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 21,725 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 percentile82.6%

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 08:00 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: 08:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 08:00 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 video95% of posts+111%+108% to +115%34K
Outbound link18% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 95% 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.
  • 18% 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 360 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above 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

  • Oct 2, 202628x their median

    Learn more about PaperDAO here: https://t.co/CvGiWw8HOu Learn more about Papertrade here: https://t.co/jSPJ0smWM9 Follow Papertrade team: https://t.co/DwiB9W7Gzm and https://t.co/qJqIUH6zLx Follow DaosWorld: https://t.co/9vaN4ky1Lt https://t.co/IPibV9XOkE

    1.5K482331483230K viewsView on X
  • Oct 10, 202613x their median

    papertrade launch timing and details papertrade is expected to launch at 14:00 UTC on 10.10.2026, following the scheduled hyperevm network upgrade. at this time trading through the frontend will be enabled. deposits will pause for a short period of time at 13:45 UTC, fifteen minutes before, to ensure that trading has the utmost priority during launch. if you wish to participate in the launch you must predeposit. launch congestion papertrade will be congested at the start due to launch demand. expect temporarily long confirmation wait times, especially for smaller notional trades. the frontend relayer plays an important role during launch, controlling how transactions are submitted to the hyperevm. some actions like staking distributions run separately in big blocks. the chain will always look as if only half of all possible gas is being used, this is optimal. using more than this would exponentially raise fees within minutes to unpayable prices. oi limits papertrade has individual atomic position limits of 10m. there is no limit on the number of 10m positions a user can have. papertrade also has floating oi headroom per market/side, which determines how much oi can be opened in a very short period. these are not designed to be triggered through normal trading usage and are set at 1bn per market/side for launch. asym pnl fee parameters papertrade inherits rollbit’s asymmetric fee pnl curve the parameters are: -baseRate: .1 -rateMultiplier: 15000 -rateExponent: 1 -referenceNotional: 100000*k (k=1m) -positionMultiplier: 814.598 btc / 483.979 eth -profit deadman: 0.2 basis points a visualization of the pnl parameter curve is below admin keys the papertrade admins (2 of 3 multisigs consisting of @izebel_eth @blurr @UngusTrade ) perform three separate roles: -guardian: pause opens and freeze individual/global markets. if a market is frozen any existing positions can still be closed against the paused bbo mid. -owner: set impact curve and fee parameters. change configure relayers/keepers. list new markets and upgrade the contracts. all contract upgrades are gated by a 7 day timelock. -markets: adjust the oi headroom per market/side. set the minimum margin and minimum position sizes. read more about these features at: https://t.co/TTCuHgCHpB

    763100311108296K viewsView on X
  • Aug 27, 202613x their median

    直到今天终于知道孙哥为什么叫曾颖甜宝了 原来你以为的爱称 其实他心里想的是别人 💔 https://t.co/TJdfKYIc1h

    961292818449K viewsView on X
  • Aug 21, 20264.1x their median

    我请问下,Gate @Gate_zh 提现你没事吧?🙂 资金密码 手机短信 谷歌验证码 人脸都过了,还要我拿个身份证拍段视频,这是把我当犯人审呢? 我的钱我提走想干嘛干嘛的,关你啥事呢??? 我提现干嘛的还要告诉你具体原因? 上回美少女被盗搞得你们应激了? 有哪个交易所提现是这样子搞? 难道不是应该提高你们自己的活体验证和安全问题吗?? 就这么给用户增加难度呢???

    2009192570K viewsView on X
  • Sep 1, 20263.8x their median

    We just distributed our biggest rewards yet. Cashback earned between Jan 31 and May 31 has now been paid out, after a cycle that saw nearly 1 MILLION eligible transactions. That’s a lot of Tria Cards being tapped, real spending, and rewards going back to users. And this season is only getting started. More exciting things ↓

    211219941149K viewsView on X
  • Aug 13, 20262.7x their median

    已经回家了 这一趟跑了桂林 阳朔 北海 猫儿山 来回两千多公里,也是累麻了 i人出门一趟就跟被吸血了一样,到家电量耗尽,需要cd好久才能回血🥲 https://t.co/vUSNZ3QsMe

    610199116K viewsView on X
  • Aug 22, 20262.6x their median

    我年初的时候,我和不同人 @BuTongRen6、绵绵姐 @vvickym2 一起申请了 @StandX_Official 的大使,也算是比较早的一批人,从那时候开始就一直在 building StandX 但最近发生的事情,确实让我们有点看不懂。 / 今年 3 月,StandX 当时的工作人员 Steve 在大使 Telegram 群里 @了我们,让我们私聊他,说会给我们添加 Discord 大使身份,因为这个大概率和空投挂钩,所以大家也都积极回复了 我们第一时间联系了他,也把需要的信息发了过去。 结果消息从 3 月一直未读到现在…… 后来才知道 Steve 已经离职了😂,所以当时想着可能是人员变动,事情没有交接好,也就没有继续追究。 (图 1:当时大使群里 Steve @我们,让我们私聊他的记录) (图 2:3 月私聊 Steve 后,直到现在依然未读,是看不见吗?) 说实话,看了一下 Telegram 里的大使人数也并没有多到夸张,半年时间一条消息都处理不到,多少还是有点让人疑惑。 / 本来以为这件事只是因为 Steve 离职不了了之。 结果更让人看不懂的事情来了。 最近换了新的工作人员 onegai,并重新创建了一份 Google 表格整理大使名单。 我特意看了一下,发现: 我们三个人直接不在名单里了。 (图 3:onegai 最新整理的大使名单中,没有我们三个人) 这就不是「Discord 身份忘记添加」这么简单了,而是我们从原本的大使体系里直接消失了。 / 其实大家当初愿意申请大使,本身就是因为看好 StandX @StandX_Official ,才愿意花自己的时间和影响力帮项目做宣传、做内容、做曝光。 尤其是绵绵姐,一直都非常认真地完成任务、参与活动,也确实为 StandX 做出了不少贡献,之前还拿到过每月 1000 美金的大使奖励。 所以我们并不是申请完以后什么都没做。 我们一直在 building,也实实在在为项目贡献过曝光和内容。 但最后得到的结果,却是没有任何通知、没有任何解释,名字就直接从新的大使名单里消失了。 / 我们并不是想把事情闹大,也依然看好 StandX。 但从目前的情况来看,Steve 离职前后的工作交接,以及 Steve 与 onegai 之间的大使名单交接,显然出现了比较严重的信息断层。 如果团队认为我们不再符合大使标准,可以直接告诉我们原因,我们完全可以接受正常的规则调整,但是我们拒绝白嫖! 但如果只是因为内部人员交接的问题,让之前一直为项目贡献的大使莫名其妙被遗漏甚至移出名单,那确实不太公平。 希望 @StandX_Official 团队能够看到这件事,认真核实一下之前的大使记录,也给我们三个人一个合理的解释和处理结果。 毕竟大家当初都是因为看好 StandX,才选择一起 building。 贡献过的人,不应该因为一次人员交接,就被悄无声息地“消失”。 // 备注: 1.我的 discord:janessmith 2.@vvickym2 的 discord:supervvicky 3.@BuTongRen6 的discord:butongren

    996145253K viewsView on X
  • Aug 25, 20262.3x their median

    看到几个之前阴阳过嘴撸污染时间线,从不嘴撸的大KOL说来Kaito嘴撸新上的项目 盲猜又是提前勾兑好了 大老板们拿额度拿大头 咱没依没靠的小散户猛卷都只能分个三瓜两枣 上一个版本的kaito榜单每天更新可以看到排名,相对更加公平,选对项目只要努力就有收获 这一个版本是手动提交数据,评判标准未知,最终决策权都在项目方手里。 难搞呀!

    100012609.7K viewsView on X
  • Aug 23, 20262.3x their median

    今晚 8 点,欢乐预测开黑夜继续 🎮 下次玩什么?投票说了算~

    7951211632K viewsView on X
  • Sep 24, 20262.2x their median

    ⚠️⚠️⚠️⚠️字少事大!! 有收到 @BaoZiDaDa010 私聊沟通链油合作的博主,建议不要打开他发的任何资料和会议链接。 对方先是发了一个 Google 会议链接,我用 Grok 查出有问题后,对方又改口让我自己建房间开会。我直接拉黑了,估计下一步就是诱导下载控制我电脑盗钱包了。 这人之前还跟我互动过几次,估计是想降低我的防备心。 大家千万提高警惕,任何链接一定要先查下安全性!!!

    52115917.5K 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

#okxnow

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 98 interactions against 79K followers, an engagement rate of 0.124%. Measured over 22 original posts, its engagement rate beats 55% of 21,624 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 9.7K times each, and 1.01% of those impressions turn into an interaction. That is about 12.4% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 08:00 UTC, and Saturday is the busiest day of the week. Of the 22 posts sampled, 95% carry an image or video and 18% link out. The account's strongest tracked post pulled 2.8K interactions, about 28x its own typical post.

What is Vvicky绵绵's engagement rate on X?
Vvicky绵绵 (@vvickym2) has an engagement rate of 0.124%, based on the median interactions across 22 original posts from the last 30 days against 78,809 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.124%, Vvicky绵绵 sits above the 25th percentile of the 217,857 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 @vvickym2 have real engagement?
Its engagement rate beats 55% of the tracked X accounts closest to it in follower count (21,624 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 @vvickym2 post?
Most posts go out around 08:00 UTC, and Saturday is its busiest day, at roughly 2.2 posts per day across the measured window.

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