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梦 engagement report

@eee3namnar_ - 555K followers on X

Measured over 13 original posts from a 30-day window, last computed on October 12, 2026.

Engagement

Bottom 10% for its size
Per follower
0%
of 555K followers
Per impression
0%
17K views on a typical post
Reach
3.13%
of its followers see a post
Typical post
0
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
2.8/day
active 23% of days
Peak time
12:00 UTC
Tuesday

A typical post picks up 0 interactions against 555K followers, an engagement rate of 0%. Measured over 13 original posts, its engagement rate beats 0% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 17K times each, and 0% of those impressions turn into an interaction. That is about 3.14% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.8 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 12:00 UTC, and Tuesday is the busiest day of the week. The account's strongest tracked post pulled 3 interactions. Recurring topics include #反差, #北京, #女大.

Measured over 13 original posts from a 30-day window, last computed on October 12, 2026. Recurring tags: #反差, #北京, #女大.

Compared with accounts its own size

梦's engagement rate beats 0% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 10 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 0% 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%, 梦 sits below the 10th percentile of the 204,880 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 204,880 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,891 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 12:00 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: 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: 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 video0% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--8%-9% to -7%41K
  • 0% 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 22 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

  • Oct 10, 2026

    "尝试了一种新口味的冰淇淋,味道超赞!🍦"

    300018K viewsView on X
  • Sep 15, 2026

    "发现了一家适合学习和工作的咖啡馆,环境舒适!☕️"

    201017K viewsView on X
  • Oct 11, 2026

    "学习了一道新的健康食谱,分享一下!🥗"

    100017K viewsView on X
  • Oct 10, 2026

    "新尝试了一种健康食谱,味道意外的好!🥗"

    100018K viewsView on X
  • Aug 26, 2026

    绿帽淫妻偷情视频不止于X 更多高清完整版资源都在telegram群👇 没有TG的先去下载注册 https://t.co/mJ6fB4jBCz 👇👇👇👇👇👇

    000119K viewsView on X
  • Oct 12, 2026

    "今天散步的路线特别美,发现了新景点!🚶‍♂️"

    000011K viewsView on X
  • Oct 11, 2026

    "刚刚完成了一次挑战性的登山,壮观的风景!🏞️"

    000015K viewsView on X
  • Oct 10, 2026

    "享受了一个悠闲的午后,思绪放飞。"

    000018K viewsView on X
  • Oct 9, 2026

    "和朋友们在游乐园玩得不亦乐乎,快乐指数爆表!🎢"

    000018K viewsView on X
  • Oct 9, 2026

    "周末的计划是享受美食,大家有什么推荐吗?🍜"

    000018K 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

#反差#北京#女大#御姐#户外

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 0 interactions against 555K followers, an engagement rate of 0%. Measured over 13 original posts, its engagement rate beats 0% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 17K times each, and 0% of those impressions turn into an interaction. That is about 3.14% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.8 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 12:00 UTC, and Tuesday is the busiest day of the week. The account's strongest tracked post pulled 3 interactions. Recurring topics include #反差, #北京, #女大.

What is 梦's engagement rate on X?
梦 (@eee3namnar_) has an engagement rate of 0%, based on the median interactions across 13 original posts from the last 30 days against 554,997 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0%, 梦 sits below the 10th percentile of the 204,880 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 @eee3namnar_ have real engagement?
Its engagement rate beats 0% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the bottom 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 @eee3namnar_ post?
Most posts go out around 12:00 UTC, and Tuesday is its busiest day, at roughly 2.8 posts per day across the measured window.

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