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小宇妈妈 engagement report

@xiaoyumama9968 - 513K followers on X

Measured over 60 original posts from a 30-day window, last computed on August 27, 2026.

Engagement

Middle of its size range
Per follower
0.15%
of 513K followers
Per impression
0.608%
126K views on a typical post
Reach
24.6%
of its followers see a post
Typical post
764
interactions (median)
Saved
0.009%
12 bookmarks on a typical post
Posting rate
2/day
active 50% of days
Peak time
04:00 UTC
Thursday

A typical post picks up 764 interactions against 513K followers, an engagement rate of 0.15%. Measured over 60 original posts, its engagement rate beats 75% of 3,899 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 126K times each, and 0.608% of those impressions turn into an interaction. That is about 24.5% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 04:00 UTC, and Thursday is the busiest day of the week. Of the 60 posts sampled, 23% carry an image or video. The account's strongest tracked post pulled 17K interactions, about 23x its own typical post.

Measured over 60 original posts from a 30-day window, last computed on August 27, 2026.

Compared with accounts its own size

小宇妈妈's engagement rate beats 75% of the tracked X accounts closest to it in follower count (3,899 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 38% 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 0.15%, 小宇妈妈 sits above the 50th percentile of the 37,856 accounts in this comparison. That places it in the above the median band, which runs 0.081% to 0.439%.

p100.002%
p250.012%
p50 (median)0.081%
p750.439%
p902.10%
p99155.6%
Engagement rate as a share of followers, across the 37,856 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 97,248 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 percentile0.002%
25th percentile0.012%
50th percentile0.081%
75th percentile0.439%
90th percentile2.10%
99th percentile155.6%

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 04:00 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: 04:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 04:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%53K
01:00 UTC-2%53K
02:00 UTC-3%52K
03:00 UTC-4%55K
04:00 UTC-6%44K
05:00 UTC-4%43K
06:00 UTC-4%50K
07:00 UTC-5%54K
08:00 UTC-4%63K
09:00 UTC-3%72K
10:00 UTC-2%75K
11:00 UTC-3%81K
12:00 UTC-2%90K
13:00 UTC-2%98K
14:00 UTC-3%101K
15:00 UTC-2%105K
16:00 UTC-4%102K
17:00 UTC-3%95K
18:00 UTC-1%88K
19:00 UTC-2%83K
20:00 UTC-1%77K
21:00 UTC-1%69K
22:00 UTC-2%60K
23:00 UTC-2%53K
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 5%Busiest day: Thursday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%238K
Monday0%302K
Tuesday-3%302K
Wednesday-1%257K
Thursday-2%250K
Friday-3%259K
Saturday+3%233K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 18, 202623x their median

    別忘了你老婆也是很多人的理想型 https://t.co/IKdBSxe7Jh

    16K43395461.2M viewsView on X
  • Aug 14, 20269.6x their median

    我现在才知道那个金花奖居然是拿老百姓的钱给明星发,都办了三十八届我才知道啊!我没同意给他们啊!!

    6.3K40960111.3M viewsView on X
  • Aug 25, 20267.9x their median

    其实我也懒得装了 https://t.co/WigHsdny01

    5.1K1347534465K viewsView on X
  • Aug 15, 20267.0x their median

    你就活一次 到底在不敢什么?? https://t.co/mCLt93sft8

    4.5K1017655456K viewsView on X
  • Aug 19, 20266.9x their median

    男生在路上看到那些穿很露的女生,心里第一时间都在想什么?? https://t.co/VVsBG3YN7f

    4.5K1256424284K viewsView on X
  • Aug 17, 20266.5x their median

    想发就发 不要在意旁人的目光 https://t.co/zdMv64cliR

    4.2K1016362281K viewsView on X
  • Aug 21, 20263.9x their median

    感觉现在女性意识真的有在觉醒 大家终于不再觉得七夕节是情人节了。。

    2.3K116574334K viewsView on X
  • Aug 16, 20263.4x their median

    这些小玩具就一点破硅胶破马达凭啥买这么贵啊??

    1.8K138153352K viewsView on X
  • Aug 14, 20263.0x their median

    我同事他姐这个暑假干教培赚了20w,这还只是拿了四成,教培原来这么赚啊。。。

    1.1K241.1K8808K viewsView on X
  • Aug 15, 20262.7x their median

    我现在发现并不是宝妈都没素质 而是大部分没素质的人都选择了早早当上宝妈 带着自己的男宝在社会上横冲直撞。。

    1.6K144565145K 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.

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Reading these numbers

A typical post picks up 764 interactions against 513K followers, an engagement rate of 0.15%. Measured over 60 original posts, its engagement rate beats 75% of 3,899 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 126K times each, and 0.608% of those impressions turn into an interaction. That is about 24.5% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 04:00 UTC, and Thursday is the busiest day of the week. Of the 60 posts sampled, 23% carry an image or video. The account's strongest tracked post pulled 17K interactions, about 23x its own typical post.

What is 小宇妈妈's engagement rate on X?
小宇妈妈 (@xiaoyumama9968) has an engagement rate of 0.15%, based on the median interactions across 60 original posts from the last 30 days against 513,319 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.15%, 小宇妈妈 sits above the 50th percentile of the 37,856 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 @xiaoyumama9968 have real engagement?
Its engagement rate beats 75% of the tracked X accounts closest to it in follower count (3,899 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 @xiaoyumama9968 post?
Most posts go out around 04:00 UTC, and Thursday is its busiest day, at roughly 2 posts per day across the measured window.

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