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花芽なずな🍣 engagement report

@nazuna_kaga - 457K followers on X

Measured over 37 original posts from a 30-day window, last computed on September 7, 2026.

Engagement

Top quarter for its size
Per follower
0.268%
of 457K followers
Per impression
1.37%
90K views on a typical post
Reach
19.6%
of its followers see a post
Typical post
1.2K
interactions (median)
Saved
0.004%
4 bookmarks on a typical post
Posting rate
2/day
active 77% of days
Peak time
12:00 UTC
Saturday

A typical post picks up 1.2K interactions against 457K followers, an engagement rate of 0.268%. Measured over 37 original posts, its engagement rate beats 81% 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 90K times each, and 1.37% of those impressions turn into an interaction. That is about 19.6% 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 77% of days. Most posts go out around 12:00 UTC, and Saturday is the busiest day of the week. Of the 37 posts sampled, 5% carry an image or video and 73% link out. The account's strongest tracked post pulled 12K interactions, about 9.8x its own typical post. Recurring topics include #なずなーと, #すぅあーと, #ひなのの絵なの.

Measured over 37 original posts from a 30-day window, last computed on September 7, 2026. Recurring tags: #なずなーと, #すぅあーと, #ひなのの絵なの.

Compared with accounts its own size

花芽なずな🍣's engagement rate beats 81% 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 56% 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 0.268%, 花芽なずな🍣 sits above the 50th percentile of the 66,393 accounts in this comparison. That places it in the above the median band, which runs 0.1% to 0.499%.

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 12:00 UTC, and Saturday 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: Saturday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Saturday
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 video5% of posts+111%+108% to +115%34K
Outbound link73% of posts-41%-42% to -40%32K
Typical length--8%-9% to -7%41K
  • 5% 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.
  • 73% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 75 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 29, 20269.8x their median

    おはようございます チャンネル登録50万人いったらしいですね

    11K4633338259K viewsView on X
  • Aug 27, 20266.5x their median

    ぶいすぽマイクラ夏祭り最高ですやん https://t.co/vQ4xKQOFON

    7.4K479333141K viewsView on X
  • Aug 26, 20265.6x their median

    ぶいすぽマイクラ夏祭り 明日の8月27日20時からスタート予定です! グループで回ってみんなの建築物をみたりみんな集まって花火をみます…!🎆 ※酔っちゃう人や予定がある人、体調面で不参加のメンバーもいます!

    6.0K8033520570K viewsView on X
  • Aug 19, 20265.2x their median

    なんだこれは https://t.co/DvlCXVNdOS

    6.2K134465718K viewsView on X
  • Aug 15, 20264.1x their median

    ひなーののライブみるお~

    5.0K93160102K viewsView on X
  • Sep 5, 20264.1x their median

    約9時間で全部勝つ耐久終了! 野良の人いい人ばかりだったな!!!!!! みんな長時間みてくれてありがとう

    4.7K156701123K viewsView on X
  • Aug 21, 20263.3x their median

    あのー平均的に考えてタルコフいつ終わりますか

    4.0K49301494K viewsView on X
  • Aug 19, 20262.8x their median

    今日は20時から噂のととみっくす高校編

    3.2K1862512132K viewsView on X
  • Aug 14, 20262.3x their median

    今日はシャドバ頑張ったし ソロでグラゼロから帰れたしタスクもいくつかやれたしグラボも持って帰れた😤

    2.7K47322125K viewsView on X
  • Aug 27, 20261.8x their median

    『東京サマーセッション』Cover 花芽なずな/花芽すみれ/白波らむね/猫汰つな/紫宮るな/如月れん/ ぶいすぽ 【歌ってみた】 https://t.co/9YN0qkmg14 @YouTubeより この後あがります!夏の思い出にどうぞ

    1.7K3891104323K 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

#なずなーと#すぅあーと#ひなのの絵なの#arisakaaa#べにっき

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 1.2K interactions against 457K followers, an engagement rate of 0.268%. Measured over 37 original posts, its engagement rate beats 81% 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 90K times each, and 1.37% of those impressions turn into an interaction. That is about 19.6% 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 77% of days. Most posts go out around 12:00 UTC, and Saturday is the busiest day of the week. Of the 37 posts sampled, 5% carry an image or video and 73% link out. The account's strongest tracked post pulled 12K interactions, about 9.8x its own typical post. Recurring topics include #なずなーと, #すぅあーと, #ひなのの絵なの.

What is 花芽なずな🍣's engagement rate on X?
花芽なずな🍣 (@nazuna_kaga) has an engagement rate of 0.268%, based on the median interactions across 37 original posts from the last 30 days against 457,376 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.268%, 花芽なずな🍣 sits above the 50th 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 @nazuna_kaga have real engagement?
Its engagement rate beats 81% of the tracked X accounts closest to it in follower count (6,874 accounts), which puts it in the top quarter 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 @nazuna_kaga post?
Most posts go out around 12:00 UTC, and Saturday is its busiest day, at roughly 2 posts per day across the measured window.

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