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π‘΄π’π’“π’Š π‘²π’–π’–π’Œπ’πŸ€ engagement report

@Kuukow002 - 1.5M followers on X

Measured over 9 original posts from a 30-day window, last computed on August 24, 2026.

Engagement

Top 10% for its size
Per follower
1.41%
of 1.5M followers
Per impression
9.44%
222K views on a typical post
Reach
14.9%
of its followers see a post
Typical post
21K
interactions (median)
Saved
1.28%
2.9K bookmarks on a typical post
Posting rate
0.4/day
active 37% of days
Peak time
15:00 UTC
Monday

A typical post picks up 21K interactions against 1.5M followers, an engagement rate of 1.41%. Measured over 9 original posts, its engagement rate beats 99% of 1,223 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 222K times each, and 9.44% of those impressions turn into an interaction. That is about 14.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.4 posts a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 15:00 UTC, and Monday is the busiest day of the week. Of the 9 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 60K interactions, about 2.9x its own typical post. Recurring topics include #honkaistarrail, #genshinimpact, #bluearchive.

Measured over 9 original posts from a 30-day window, last computed on August 24, 2026. Recurring tags: #honkaistarrail, #genshinimpact, #bluearchive.

Compared with accounts its own size

π‘΄π’π’“π’Š π‘²π’–π’–π’Œπ’πŸ€'s engagement rate beats 99% of the tracked X accounts closest to it in follower count (1,223 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 99% 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 1.41%, π‘΄π’π’“π’Š π‘²π’–π’–π’Œπ’πŸ€ sits above the 75th percentile of the 16,174 accounts in this comparison. That places it in the top 25% band, which runs 0.363% to 2.26%.

p100.001%
p250.009%
p50 (median)0.059%
p750.363%
p902.26%
p99244.2%
Engagement rate as a share of followers, across the 16,174 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 244,178 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 percentile0.001%
25th percentile0.009%
50th percentile0.059%
75th percentile0.363%
90th percentile2.26%
99th percentile244.2%

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 15:00 UTC, and Monday 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: 15:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 88%Busiest hour: 15:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC0%23K
01:00 UTC+1%23K
02:00 UTC-3%23K
03:00 UTC-4%23K
04:00 UTC-5%19K
05:00 UTC-6%18K
06:00 UTC-6%21K
07:00 UTC-4%23K
08:00 UTC-5%27K
09:00 UTC-3%30K
10:00 UTC-3%32K
11:00 UTC-3%34K
12:00 UTC0%38K
13:00 UTC-1%43K
14:00 UTC-3%45K
15:00 UTC-1%46K
16:00 UTC-2%45K
17:00 UTC-2%42K
18:00 UTC0%39K
19:00 UTC-1%36K
20:00 UTC0%34K
21:00 UTC+1%30K
22:00 UTC0%26K
23:00 UTC-1%23K
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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 88%Busiest day: Monday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+8%113K
Monday-4%145K
Tuesday-2%125K
Wednesday-2%103K
Thursday-1%101K
Friday-2%109K
Saturday+5%103K
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+87%+83% to +93%9.2K
Outbound link0% of posts-46%-48% to -45%9.3K
  • 100% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 87% above the same accounts' other posts.
  • 0% of its posts carry a link off X. Across the catalog, posts with an outbound link run 46% 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

  • Apr 18, 20262.9x their median

    ε΄©ε£Šγ‚Ήγ‚ΏγƒΌγƒ¬γ‚€γƒ« https://t.co/nNgraV6ah4

    58K1.7K10512867K viewsView on X
  • May 8, 20262.7x their median

    γ‚³γƒ­γƒ³γƒ“γƒΌγƒŠ #GenshinImpact https://t.co/77Z468y9A6

    54K1.8K10717641K viewsView on X
  • May 25, 20262.1x their median

    ァンドローネ #GenshinImpact https://t.co/7noVEIjDy0

    43K1.5K6624462K viewsView on X
  • Jul 6, 20261.9x their median

    ァンドローネ ✨ #GenshinImpact https://t.co/xJHZUZN6f4

    38K1.3K3410395K viewsView on X
  • Aug 7, 20261.8x their median

    #GenshinImpact https://t.co/s3nRMz3Wv9

    37K1.2K7212390K viewsView on X
  • Jul 3, 20261.8x their median

    ァンドローネ #GenshinImpact https://t.co/7sar6N5rEo

    37K1.3K503418K viewsView on X
  • Apr 23, 20261.8x their median

    HonkaiStarRail https://t.co/GfCtEspFRL

    37K1.4K628412K viewsView on X
  • Apr 4, 20261.7x their median

    Sparxie 火花 #HonkaiStarRail https://t.co/mTyCaeslE8

    34K1.2K6914633K viewsView on X
  • May 11, 20261.7x their median

    ネフェル #GenshinImpact https://t.co/5Lt9iiEEc1

    34K1.0K6013425K viewsView on X
  • Apr 8, 20261.6x their median

    Nefer ネフェル #GenshinImpact https://t.co/f0w0B9U6wn

    32K1.0K519450K 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

#honkaistarrail#genshinimpact#bluearchive#原η₯žγ…€

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 21K interactions against 1.5M followers, an engagement rate of 1.41%. Measured over 9 original posts, its engagement rate beats 99% of 1,223 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 222K times each, and 9.44% of those impressions turn into an interaction. That is about 14.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.4 posts a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 15:00 UTC, and Monday is the busiest day of the week. Of the 9 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 60K interactions, about 2.9x its own typical post. Recurring topics include #honkaistarrail, #genshinimpact, #bluearchive.

What is π‘΄π’π’“π’Š π‘²π’–π’–π’Œπ’πŸ€'s engagement rate on X?
π‘΄π’π’“π’Š π‘²π’–π’–π’Œπ’πŸ€ (@Kuukow002) has an engagement rate of 1.41%, based on the median interactions across 9 original posts from the last 30 days against 1,489,815 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 1.41%, π‘΄π’π’“π’Š π‘²π’–π’–π’Œπ’πŸ€ sits above the 75th percentile of the 16,174 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 @Kuukow002 have real engagement?
Its engagement rate beats 99% of the tracked X accounts closest to it in follower count (1,223 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 @Kuukow002 post?
Most posts go out around 15:00 UTC, and Monday is its busiest day, at roughly 0.4 posts per day across the measured window.

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