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烈 engagement report

@retsu_dao8 - 851K followers on X

Measured over 10 original posts from a 30-day window, last computed on September 28, 2026.

Engagement

Top quarter for its size
Per follower
0.375%
of 851K followers
Per impression
0.507%
607K views on a typical post
Reach
74.0%
of its followers see a post
Typical post
3.1K
interactions (median)
Saved
0.12%
730 bookmarks on a typical post
Posting rate
1.33/day
active 63% of days
Peak time
13:00 UTC
Thursday

A typical post picks up 3.1K interactions against 851K followers, an engagement rate of 0.375%. Measured over 10 original posts, its engagement rate beats 89% of 20,444 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 607K times each, and 0.507% of those impressions turn into an interaction. That is about 71.4% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 13:00 UTC, and Thursday is the busiest day of the week. Of the 10 posts sampled, 50% carry an image or video and 30% are part of a thread. The account's strongest tracked post pulled 38K interactions, about 12x its own typical post.

Measured over 10 original posts from a 30-day window, last computed on September 28, 2026.

Compared with accounts its own size

烈's engagement rate beats 89% 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 31% 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 0.375%, 烈 sits above the 50th percentile of the 205,261 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.678%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,261 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 13:00 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: 13:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 13:00 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video50% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 50% 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 116 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% 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 25, 202612x their median

    イけと言ったらイく調教済み雑魚マンコ、中イキ100回以上・中出し懇願ですんごかったです https://t.co/SFEBEw1Pa0

    36K2.3K15222.5M viewsView on X
  • Aug 23, 202611x their median

    仲良いデカチンとセフレ置いて帰って来るまで15分。この間にとんでもないことになってた。 コンビニ行ってる間に何が起きたらここまでなるの笑 デカチン→ @honeyani85 https://t.co/mu1MmOiI0M

    31K2.0K2271.2M viewsView on X
  • Aug 22, 202611x their median

    ポルチオにチンコの先端当たるたび中ギュンギュン動きまくって締め付けてくる名器で我慢するの大変でした、、 2、3往復で潮吹き続けるの可愛すぎてやめられず1時間くらい立ちバックし続けてました笑 ラウンジ勤務でクソ可愛い顔、今夜本編で公開❗️↓ https://t.co/UzmYUyvLIc

    30K2.4K11201.5M viewsView on X
  • Sep 8, 20268.0x their median

    元チア部の体柔らかくてドMでオホ声でイク時勝手に謝罪するセフレとのSEXやっぱりめちゃくちゃエロい。 明日フル投下 https://t.co/c6jY97PXp9

    23K1.7K711960K viewsView on X
  • Sep 7, 20266.8x their median

    デカチン@honeyani85 にセフレを紹介したら興奮しすぎてすんごいSEXしてました笑 ワイワイしてたのに急にチンポ出して生ハメ。 最後烈も入ってサクッと中出しだけして解散、NTRされる側を少しだけ味わえた気がします。。 チンポ仲間、ゆる募です😎 本編↓ https://t.co/87u3YLc5SN

    20K1.4K268643K viewsView on X
  • Aug 3, 20264.2x their median

    前回バズりすぎた篠原さんとの続き、筋トレ(SEX)後のサウナ最高すぎました🧖 そんでこのお姉さん水着似合いすぎ、今度一緒に海行く約束しました。 明日18:00フル公開❗️ https://t.co/5qrXnMJ3z8

    12K586621.5M viewsView on X
  • Aug 17, 20263.5x their median

    飲みながらエロいこと仕掛けてくると話題の美女体験してきたんですが、パンッパンで最高でした笑 https://t.co/qOSruaFCZh

    10K510831.1M viewsView on X
  • Aug 23, 20263.0x their median

    最近ホテル暮らししてるんですが、筋トレ後に天サロしに来たらギャル(?)の子に逆にナンされました。 水着の柄やばすぎ笑 https://t.co/AGznQQPYaR

    8.9K353183977K viewsView on X
  • Sep 10, 20262.6x their median

    オホ声痙攣イキ100回くらいさせられたのち中出し懇願してくんのエロすぎ、めちゃくちゃ精子出た笑 https://t.co/iURgYLeO2O

    7.5K55831108K viewsView on X
  • Sep 3, 20262.4x their median

    とんでもない爆美女と遊んできました この感じでずっとくっついて来るタイプなのやばく無いですか、、🥹 https://t.co/2daPeNT7Mm

    7.1K338212588K 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 3.1K interactions against 851K followers, an engagement rate of 0.375%. Measured over 10 original posts, its engagement rate beats 89% of 20,444 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 607K times each, and 0.507% of those impressions turn into an interaction. That is about 71.4% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 13:00 UTC, and Thursday is the busiest day of the week. Of the 10 posts sampled, 50% carry an image or video and 30% are part of a thread. The account's strongest tracked post pulled 38K interactions, about 12x its own typical post.

What is 烈's engagement rate on X?
烈 (@retsu_dao8) has an engagement rate of 0.375%, based on the median interactions across 10 original posts from the last 30 days against 850,520 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.375%, 烈 sits above the 50th percentile of the 205,261 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 @retsu_dao8 have real engagement?
Its engagement rate beats 89% of the tracked X accounts closest to it in follower count (20,444 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 @retsu_dao8 post?
Most posts go out around 13:00 UTC, and Thursday is its busiest day, at roughly 1.33 posts per day across the measured window.

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