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魔法猫猫王迟迟 engagement report

@Hoshilily1 - 331K followers on X

Measured over 24 original posts from a 30-day window, last computed on September 4, 2026.

Engagement

Top 10% for its size
Per follower
0.565%
of 331K followers
Per impression
4.63%
40K views on a typical post
Reach
12.2%
of its followers see a post
Typical post
1.8K
interactions (median)
Saved
0.56%
222 bookmarks on a typical post
Posting rate
1.17/day
active 73% of days
Peak time
11:00 UTC
Wednesday

A typical post picks up 1.8K interactions against 331K followers, an engagement rate of 0.565%. Measured over 24 original posts, its engagement rate beats 90% of 6,874 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 40K times each, and 4.63% of those impressions turn into an interaction. That is about 12.0% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 11:00 UTC, and Wednesday is the busiest day of the week. Of the 24 posts sampled, 100% carry an image or video and 8% are part of a thread. The account's strongest tracked post pulled 29K interactions, about 16x its own typical post. Recurring topics include #nikke, #azurlane, #belfast.

Measured over 24 original posts from a 30-day window, last computed on September 4, 2026. Recurring tags: #nikke, #azurlane, #belfast.

Compared with accounts its own size

魔法猫猫王迟迟's engagement rate beats 90% of the tracked X accounts closest to it in follower count (6,874 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 88% 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 0.565%, 魔法猫猫王迟迟 sits above the 75th percentile of the 66,393 accounts in this comparison. That places it in the top 25% band, which runs 0.499% to 2.09%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99119.5%
Engagement rate as a share of followers, across the 66,393 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 56,924 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 percentile0.016%
50th percentile0.1%
75th percentile0.499%
90th percentile2.09%
99th percentile119.5%

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 Wednesday 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 38 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

  • Jul 28, 202616x their median

    30w thanks☺️☺️☺️ #鸣潮 #WutheringWave #尤诺 https://t.co/KiJNn8bNet

    28K1.2K1438646K viewsView on X
  • Aug 31, 202613x their median

    晚饭做好啦,猜猜今晚吃什么😉 https://t.co/17mdwSkBkH

    22K8191088178K viewsView on X
  • Jul 30, 202610x their median

    2026-3-B #鸣潮 #WutheringWave #尤诺 https://t.co/wbeOeIHN97

    18K5211142203K viewsView on X
  • Jul 30, 20267.0x their median

    2026-3-B #鸣潮 #WutheringWave #尤诺 https://t.co/7XCHsLJpbq

    12K3751564209K viewsView on X
  • Aug 30, 20265.3x their median

    浴缸刷好了喔,大人该洗香香啦🛁 https://t.co/kKX5geocPH

    9.4K281620141K viewsView on X
  • Sep 2, 20264.5x their median

    先吃饭还是先洗澡?🥵 https://t.co/pSBlCjyGPA

    7.8K294211182K viewsView on X
  • Jul 29, 20264.3x their median

    2026-3-B #鸣潮 #WutheringWave #尤诺 https://t.co/E8yQoY5TWm

    7.6K280611152K viewsView on X
  • Jul 31, 20264.0x their median

    2026-3-B #鸣潮 #WutheringWave #尤诺 https://t.co/wzkTUlOipQ

    7.0K26878299K viewsView on X
  • Jul 29, 20263.8x their median

    2026-3-B #鸣潮 #WutheringWave #尤诺 https://t.co/X20NNOeQM2

    6.6K28254295K viewsView on X
  • Jul 31, 20263.4x their median

    2026-3-A #碧蓝航线 #Azurlane #Kashino https://t.co/soaET3a4rk

    5.8K258640112K 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

#nikke#azurlane#belfast#kashino#碧蓝航线

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 1.8K interactions against 331K followers, an engagement rate of 0.565%. Measured over 24 original posts, its engagement rate beats 90% of 6,874 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 40K times each, and 4.63% of those impressions turn into an interaction. That is about 12.0% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 11:00 UTC, and Wednesday is the busiest day of the week. Of the 24 posts sampled, 100% carry an image or video and 8% are part of a thread. The account's strongest tracked post pulled 29K interactions, about 16x its own typical post. Recurring topics include #nikke, #azurlane, #belfast.

What is 魔法猫猫王迟迟's engagement rate on X?
魔法猫猫王迟迟 (@Hoshilily1) has an engagement rate of 0.565%, based on the median interactions across 24 original posts from the last 30 days against 330,684 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.565%, 魔法猫猫王迟迟 sits above the 75th percentile of the 66,393 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 @Hoshilily1 have real engagement?
Its engagement rate beats 90% of the tracked X accounts closest to it in follower count (6,874 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 @Hoshilily1 post?
Most posts go out around 11:00 UTC, and Wednesday is its busiest day, at roughly 1.17 posts per day across the measured window.

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