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sacha。 engagement report

@amichamiru - 366K followers on X

Measured over 26 original posts from a 30-day window, last computed on September 2, 2026.

Engagement

Middle of its size range
Per follower
0.045%
of 366K followers
Per impression
0.131%
124K views on a typical post
Reach
34.4%
of its followers see a post
Typical post
162
interactions (median)
Saved
0.012%
15 bookmarks on a typical post
Posting rate
1.63/day
active 47% of days
Peak time
14:00 UTC
Sunday

A typical post picks up 162 interactions against 366K followers, an engagement rate of 0.045%. Measured over 26 original posts, its engagement rate beats 50% of 6,874 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 124K times each, and 0.131% of those impressions turn into an interaction. That is about 33.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 posts a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 14:00 UTC, and Sunday is the busiest day of the week. Of the 26 posts sampled, 54% carry an image or video and 8% are part of a thread. The account's strongest tracked post pulled 23K interactions, about 140x its own typical post.

Measured over 26 original posts from a 30-day window, last computed on September 2, 2026.

Compared with accounts its own size

sacha。's engagement rate beats 50% 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 9% 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 0.045%, sacha。 sits above the 25th percentile of the 65,980 accounts in this comparison. That places it in the below the median band, which runs 0.016% to 0.1%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99120.0%
Engagement rate as a share of followers, across the 65,980 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 57,142 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 percentile120.0%

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 14:00 UTC, and Sunday 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: 14:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 14:00 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: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Sunday
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 video54% of posts+111%+108% to +115%34K
Outbound link4% of posts-41%-42% to -40%32K
Typical length--8%-9% to -7%41K
  • 54% 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.
  • 4% 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 65 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 25, 2026140x their median

    146cm38kgのEカップの彼氏持ちの子とエッチしたら俺専用ちんぽケースになりました https://t.co/bwFvWbeg4g

    22K97436448K viewsView on X
  • Aug 23, 202651x their median

    会う前っておな動画送りつけてオカズにしてもらったり、逆に送ってもらったりするんだけど これは特にすごいそそられる 下着脱ぐところからってのが特にいい この子とのハメ撮りくっそエロかった https://t.co/SfD6GM80bZ

    7.8K44608512K viewsView on X
  • Aug 25, 20264.9x their median

    「高校でこんなエッチなことしちゃってます」ってエピソードをフォロワーによく教えてもらうんだけど この子が1番エロいことしてるわ https://t.co/Gexp8xEbZA

    7831112194K viewsView on X
  • Jun 1, 20264.6x their median

    普段あまり遊んでこなかったピュアな素人や処女の子 アポもハメ撮りも初めての子 彼氏とのセックスで満足してない女の子 サチャのハメ撮りを見て「抱かれてみたい」って思った子が 19cmのデカちんぽでわからセックスでバチボコに抱き潰されてる過程をお楽しみいただけたら嬉しいです —— 🎬 ¥5,000プランで見れるもの ✅ 月5本の新作ハメ撮り  単品販売しないプラン専用動画も ✅ 過去の作品見放題  単品で販売終了したものも含めて全部 —— 🔥 ¥5,000プラン会員だけの体験 ▫️ ¥5,000プラン専用テレグラム ・撮影予定の子のフォーム回答・LINEヤリ取り ・編集中のエロい画角どれ採用するかアンケート ・撮影後のリアルでエッチな特別写真や動画 ・女の子から送られたエッチな写真や動画(許可済み) 他では出さないエッチなものを気まぐれで流してます —— https://t.co/Pe4GTkjDBi

    71926023.4M viewsView on X
  • Sep 1, 20264.2x their median

    流石にこれでスーパーはみんな見るだろw https://t.co/82i8hGRwW6

    67051091K viewsView on X
  • Aug 30, 20262.6x their median

    これお尻に挿れて遊びました https://t.co/KSg9UVFUlg

    404312096K viewsView on X
  • Aug 22, 20262.3x their median

    今日エッチしてる子 脚長すぎて立ちバック上手くできなくて 動画として投稿しようか悩むレベルなんだけど、、、 初めましてで玄関でチューしてフェラしてイラマしてエロかったから投稿したい気持ちも

    364410179K viewsView on X
  • Aug 30, 20262.2x their median

    これお尻に挿れながら推しのニューハーフ女優のAV観ながらシコって射精した天才 ケツ逝きしたい https://t.co/Q7YmlZutxw

    35312097K viewsView on X
  • Aug 23, 20262.2x their median

    会った後もおかずになる時間を大事にしてる https://t.co/IAJ5tkkgUL

    348411175K viewsView on X
  • Aug 21, 20261.9x their median

    「サチャさんってあんまりおっぱい揉んでないイメージ」って女の子からDMきたんだけど 確かにXに投稿してる動画では少ないかも、fullだと揉んでるのもあるけど少ない方かも 正常位でおっぱい鷲掴みしながら体重かけて腰振るのは好き そもそもおっぱい触る時は動画回してなくてネトフリとか見ながらくっつきながらおっぱい吸ったり揉んだり舐めたり、、バブってるかも

    307300191K 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 162 interactions against 366K followers, an engagement rate of 0.045%. Measured over 26 original posts, its engagement rate beats 50% of 6,874 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 124K times each, and 0.131% of those impressions turn into an interaction. That is about 33.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 posts a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 14:00 UTC, and Sunday is the busiest day of the week. Of the 26 posts sampled, 54% carry an image or video and 8% are part of a thread. The account's strongest tracked post pulled 23K interactions, about 140x its own typical post.

What is sacha。's engagement rate on X?
sacha。 (@amichamiru) has an engagement rate of 0.045%, based on the median interactions across 26 original posts from the last 30 days against 365,697 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.045%, sacha。 sits above the 25th percentile of the 65,980 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 @amichamiru have real engagement?
Its engagement rate beats 50% of the tracked X accounts closest to it in follower count (6,874 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 @amichamiru post?
Most posts go out around 14:00 UTC, and Sunday is its busiest day, at roughly 1.63 posts per day across the measured window.

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