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いだちゃん湖林 engagement report

@koba__ida - 184K followers on X

Measured over 10 original posts from a 30-day window, last computed on October 15, 2026.

Engagement

Top 10% for its size
Per follower
2.91%
of 184K followers
Per impression
1.50%
357K views on a typical post
Reach
194.3%
of its followers see a post
Typical post
5.4K
interactions (median)
Saved
0.023%
82 bookmarks on a typical post
Posting rate
0.4/day
active 33% of days
Peak time
08:00 UTC
Tuesday

A typical post picks up 5.4K interactions against 184K followers, an engagement rate of 2.91%. Measured over 10 original posts, its engagement rate beats 98% 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 357K times each, and 1.50% of those impressions turn into an interaction. That is about 193.9% 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 33% of days saw any activity at all. Most posts go out around 08:00 UTC, and Tuesday is the busiest day of the week. Of the 10 posts sampled, 80% carry an image or video. The account's strongest tracked post pulled 133K interactions, about 19x its own typical post.

Measured over 10 original posts from a 30-day window, last computed on October 15, 2026. Recurring tag: #pps.

Compared with accounts its own size

いだちゃん湖林's engagement rate beats 98% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 9 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 54% 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 2.91%, いだちゃん湖林 sits above the 90th percentile of the 205,475 accounts in this comparison. That places it in the top 10% band, which runs 2.55% to 82.4%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,475 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,893 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 08:00 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: 08:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 08:00 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 video80% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 80% 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 84 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

  • Aug 28, 202519x their median

    なんでLOOPってこんな流行ってんの? 返却のとき知らん人に写真撮影頼むの ダルすぎん? https://t.co/KbW4ssTbfK

    129K3.1K41680821M viewsView on X
  • Jun 10, 202611x their median

    本日、『モーニング』発売日です🚀 ついに最終話掲載! 連載18年。 今まで、ありがとう。 https://t.co/4Qpd5nSFO4

    44K12K3241.6K4.6M viewsView on X
  • Jun 17, 20269.4x their median

    絶対おもろいだろこれ https://t.co/kQrq4E6npI

    49K1.3K611942.9M viewsView on X
  • Sep 14, 20269.0x their median

    "連続殺人犯"の「殺」じゃなくて「続」を伏せ字で隠すゆいまる怖すぎる どこを気にしてるんだよ https://t.co/Gx0PjBpzgR

    47K1.2K1281343.4M viewsView on X
  • Aug 3, 20267.4x their median

    https://t.co/uK0OBWBPrUというYouTube番組を知りました。大学の入学難易度を基準に学生をからかうというスタイルには強い嫌悪感を覚えます。高田ふーみんなる人物が「痛い人」であることを全国に発信するのは本人の自由ですが、多くの受験生や大学生を巻き込むのは、大学人として看過できません。

    35K2.4K3731.6K14M viewsView on X
  • Jun 26, 20263.5x their median

    こいつ楽しそうすぎて、 こっちまで幸せなる。 https://t.co/wnYF4YP6Py

    18K3127313659K viewsView on X
  • Jun 15, 20263.4x their median

    小川さんと同じぐらい ぬか喜びしてたジュビロファン。 https://t.co/4aCi5b7hNS

    18K5248655774K viewsView on X
  • Aug 9, 20263.3x their median

    AIで作ったんだろな特有の、 全部が妙に鮮明で、全部が光ってて、金属質感のあるサムネめちゃくちゃ見るけど、全く惹かれんくない? (具体例載せたいけどヤメとく。)

    17K4461081093.1M viewsView on X
  • Jul 26, 20262.9x their median

    僕らの攻めた演出に対して、 絶対にありえないであろう回答で、 (誰もが嘘と分かる) 収録の雰囲気を崩さず、笑いを起こしてた 即興力まじで見習おうと思いました。 https://t.co/1wNQR513Cu

    15K340119573.0M viewsView on X
  • May 5, 20262.7x their median

    コウさんはみんなが思ってる以上に 良いヤツだしオモロいし元気だし 情熱持ってる人間だぞ。 https://t.co/VhWHBQbSTT

    14K3782451033.1M 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

#pps

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 5.4K interactions against 184K followers, an engagement rate of 2.91%. Measured over 10 original posts, its engagement rate beats 98% 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 357K times each, and 1.50% of those impressions turn into an interaction. That is about 193.9% 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 33% of days saw any activity at all. Most posts go out around 08:00 UTC, and Tuesday is the busiest day of the week. Of the 10 posts sampled, 80% carry an image or video. The account's strongest tracked post pulled 133K interactions, about 19x its own typical post.

What is いだちゃん湖林's engagement rate on X?
いだちゃん湖林 (@koba__ida) has an engagement rate of 2.91%, based on the median interactions across 10 original posts from the last 30 days against 184,322 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 2.91%, いだちゃん湖林 sits above the 90th percentile of the 205,475 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 @koba__ida have real engagement?
Its engagement rate beats 98% of the tracked X accounts closest to it in follower count (20,444 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 @koba__ida post?
Most posts go out around 08:00 UTC, and Tuesday is its busiest day, at roughly 0.4 posts per day across the measured window.

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