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Miss engagement report

@tiantiankeai1 - 166K followers on X

Measured over 23 original posts from a 30-day window, last computed on September 24, 2026.

Engagement

Top 10% for its size
Per follower
1.64%
of 166K followers
Per impression
3.33%
75K views on a typical post
Reach
49.1%
of its followers see a post
Typical post
2.5K
interactions (median)
Saved
1.57%
1.2K bookmarks on a typical post
Posting rate
1.03/day
active 83% of days
Peak time
11:00 UTC
Tuesday

A typical post picks up 2.5K interactions against 166K followers, an engagement rate of 1.64%. Measured over 23 original posts, its engagement rate beats 94% of 20,444 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 75K times each, and 3.33% of those impressions turn into an interaction. That is about 45.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1 post a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 11:00 UTC, and Tuesday is the busiest day of the week. Of the 23 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 19K interactions, about 7.7x its own typical post. Recurring topics include #敬請期待, #爭優質男倫.

Measured over 23 original posts from a 30-day window, last computed on September 24, 2026. Recurring tags: #敬請期待, #爭優質男倫.

Compared with accounts its own size

Miss's engagement rate beats 94% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 8 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 76% 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 1.64%, Miss 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 11:00 UTC, and Tuesday 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: 11:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 11:00 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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--8%-9% to -7%41K
  • 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 77 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

  • Aug 23, 20267.7x their median

    玩的牛仔裤都湿了..👖 @XJDRS @XHSJSX @SXHCL @XNZSTZ https://t.co/x3DCP45h2A

    18K1.4K632329K viewsView on X
  • Aug 31, 20263.5x their median

    绝美小姐姐~ 其实sao的不行.. @XJDRS @XHSJSX @SXHCL @XNZSTZ https://t.co/PlrykAHaAi

    8.2K583551177K viewsView on X
  • Aug 16, 20263.5x their median

    漂亮的小姐姐自己玩的出了一身汗~ 这魅男的眼神加上这身材 Niss 白浆~ @XJDRS @XHSJSX @SXHCL @XNZSTZ https://t.co/brsW11laLM

    8.1K591384208K viewsView on X
  • Aug 17, 20262.5x their median

    假如穿着死水库服~去游泳 还夹着小玩具 会不会被盯着看呀?👅 @XJDRS @XHSJSX @SXHCL @XNZSTZ https://t.co/WpotwPoblv

    5.7K417271202K viewsView on X
  • Aug 6, 20262.4x their median

    这么会滋水?👅 越漂亮的越sao呀 果然是~ @XJDRS @XHSJSX @SXHCL @XNZSTZ https://t.co/knmyVcuoyP

    5.4K462761178K viewsView on X
  • Sep 14, 20262.3x their median

    皮衣配上皮靴的jiojio~🥰 你们敢闻一下嘛?绝对很像~ @XJDRS @XHSJSX @SXHCL @XNZSTZ https://t.co/dHN9i455YU

    5.2K4602397K viewsView on X
  • Aug 3, 20262.2x their median

    ✌️ @Sentoyun @Sentodan @Sentofen @Sentoqing https://t.co/QpJjCjV0MY

    5.2K352110159K viewsView on X
  • Aug 21, 20262.1x their median

    小兔子乖乖 把门开开~👅 连小玩具都是带颗粒的 普通人真驾驭不了.. @XJDRS @XHSJSX @SXHCL @XNZSTZ https://t.co/MT2ukYmL4w

    4.9K415363124K viewsView on X
  • Sep 4, 20262.0x their median

    皮衣皮裤皮靴?👅 真御姐呀… @XJDRS @XHSJSX @SXHCL @XNZSTZ https://t.co/bmiqsR7k73

    4.7K34983127K viewsView on X
  • Sep 3, 20262.0x their median

    戴上眼镜的姐姐真sao?👅 舔着舔着竟然还拉丝了… @XJDRS @XHSJSX @SXHCL @XNZSTZ https://t.co/TaVtVtnJqC

    4.6K362381120K 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

#敬請期待#爭優質男倫

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 2.5K interactions against 166K followers, an engagement rate of 1.64%. Measured over 23 original posts, its engagement rate beats 94% of 20,444 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 75K times each, and 3.33% of those impressions turn into an interaction. That is about 45.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1 post a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 11:00 UTC, and Tuesday is the busiest day of the week. Of the 23 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 19K interactions, about 7.7x its own typical post. Recurring topics include #敬請期待, #爭優質男倫.

What is Miss's engagement rate on X?
Miss (@tiantiankeai1) has an engagement rate of 1.64%, based on the median interactions across 23 original posts from the last 30 days against 166,055 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 1.64%, Miss 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 @tiantiankeai1 have real engagement?
Its engagement rate beats 94% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the top 10% for its size 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 @tiantiankeai1 post?
Most posts go out around 11:00 UTC, and Tuesday is its busiest day, at roughly 1.03 posts per day across the measured window.

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