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荻pote engagement report

@ogipote - 387K followers on X

Measured over 25 original posts from a 30-day window, last computed on September 30, 2026.

Engagement

Middle of its size range
Per follower
0.014%
of 387K followers
Per impression
0.274%
20K views on a typical post
Reach
5.09%
of its followers see a post
Typical post
54
interactions (median)
Saved
0.005%
1 bookmarks on a typical post
Posting rate
1.2/day
active 67% of days
Peak time
02:00 UTC
Tuesday

A typical post picks up 54 interactions against 387K followers, an engagement rate of 0.014%. Measured over 25 original posts, its engagement rate beats 38% of 20,444 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 20K times each, and 0.274% of those impressions turn into an interaction. That is about 5.09% 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 67% of days. Most posts go out around 02:00 UTC, and Tuesday is the busiest day of the week. Of the 25 posts sampled, 12% carry an image or video. The account's strongest tracked post pulled 74K interactions, about 1367x its own typical post. Recurring topics include #tca, #イラスト, #荻pote.

Measured over 25 original posts from a 30-day window, last computed on September 30, 2026. Recurring tags: #tca, #イラスト, #荻pote.

Compared with accounts its own size

荻pote's engagement rate beats 38% 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 20% 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 0.014%, 荻pote sits above the 10th percentile of the 204,798 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,798 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,879 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 02:00 UTC, and Tuesday 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: 02:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 02:00 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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 video12% of posts+111%+108% to +115%34K
Outbound link4% of posts-41%-42% to -40%32K
Typical length--8%-9% to -7%41K
  • 12% 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 57 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 22, 20261367x their median

    前佐渡で撮ったアホみたいに低い虹みて https://t.co/xoZOPkm5DX

    70K4.1K4061934K viewsView on X
  • Aug 8, 2026929x their median

    譜読み https://t.co/Zs4k2QWwr5

    45K5.2K3628783K viewsView on X
  • Sep 10, 2026742x their median

    コンビニのレジで「ミョウガだ…かわいい…」と言ってもらえた。 https://t.co/61SeVo8ZOC

    39K7763970930K viewsView on X
  • Aug 24, 2026223x their median

    メモ できるのか分かんないけどゆくゆくはこうしたい 液タブ+モニター複数使いの方の環境が見たい… https://t.co/j6j8uPoPNZ

    11K88259288737K viewsView on X
  • Aug 23, 202673x their median

    コミケのスタッフ態度云々、基本はすごく献身的で感謝なのだけど、「スタッフ権限で◯部取り置きお願いしまーす」がいまだに来る。あれだけは看過できんぞ!もち断ってるが…皆さんあれ対応しなくてもノーペナだから!名前覚えて他スタッフに報告しましょう

    3.0K691401735.1M viewsView on X
  • Aug 26, 202666x their median

    絵の練習!てなるとなぜかパースとかクロッキーみたいな、基礎というか、ラフみたいのを量産する信仰があるけど、ラフの技術と ラフ→完成 の技術って別物だと思ってて、多分ワイなんかは後者だけ得意ってのでなんとかなってるんだよね。おそらくラフが上手い人=必ずしも完成が上手い人ではないと感じる。個人的にイラストで大事なのは結局完成のアウトプットだし、プロになりたいなら求められるのはそこのみと言っても過言じゃないだろうから、結論、クロッキー帳を積むカッコ良さや描いた絶対数は減るけども、完成までを通しで反復するのがいいと思っている!あくまで最終的に商業とかプロでやりたいならの話かつ個人的な分析ですよ!

    3.1K353761377K viewsView on X
  • Aug 9, 202663x their median

    ■🖤C108 夏コミお品書き🐈‍⬛■ 1日目 8/15(土) 東1 ア-07ab『いもむすめ。』 色々作りました!!是非お立ち寄りを! https://t.co/ioJ7cyrrxW

    2.9K49268202K viewsView on X
  • Aug 11, 202613x their median

    完全に夏、始まった https://t.co/Vzqunuf8U4

    69874056K viewsView on X
  • Aug 29, 20267.9x their median

    https://t.co/AC06HVvrZi

    397272158K viewsView on X
  • Sep 11, 20264.0x their median

    夜道の散歩でガチ誰もいないから大人が絶対やらないスキップをしてみたけど、視聴率ゼロなのに赤面した

    21133022K 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

#tca#イラスト#荻pote

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 54 interactions against 387K followers, an engagement rate of 0.014%. Measured over 25 original posts, its engagement rate beats 38% of 20,444 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 20K times each, and 0.274% of those impressions turn into an interaction. That is about 5.09% 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 67% of days. Most posts go out around 02:00 UTC, and Tuesday is the busiest day of the week. Of the 25 posts sampled, 12% carry an image or video. The account's strongest tracked post pulled 74K interactions, about 1367x its own typical post. Recurring topics include #tca, #イラスト, #荻pote.

What is 荻pote's engagement rate on X?
荻pote (@ogipote) has an engagement rate of 0.014%, based on the median interactions across 25 original posts from the last 30 days against 386,967 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.014%, 荻pote sits above the 10th percentile of the 204,798 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 @ogipote have real engagement?
Its engagement rate beats 38% of the tracked X accounts closest to it in follower count (20,444 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 @ogipote post?
Most posts go out around 02:00 UTC, and Tuesday is its busiest day, at roughly 1.2 posts per day across the measured window.

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