ぎん☘️ engagement report
@gin_sneaker - 492K followers on X
Measured over 5 original posts from a 30-day window, last computed on October 31, 2026.
Engagement
Early reading. We have captured 5 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.
A typical post picks up 465 interactions against 492K followers, an engagement rate of 0.095%. Posts are seen about 156K times each, and 0.299% of those impressions turn into an interaction. That is about 31.6% 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, though only 17% of days saw any activity at all. Most posts go out around 21:00 UTC, and Friday is the busiest day of the week. Of the 5 posts sampled, 80% carry an image or video. The account's strongest tracked post pulled 7.1K interactions, about 13x its own typical post. Recurring topics include #つくろう新しい松山, #レディヤング薬局, #松山市. Only 5 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
Measured over 5 original posts from a 30-day window, last computed on October 31, 2026. Recurring tags: #つくろう新しい松山, #レディヤング薬局, #松山市.
Where this sits in the catalog
At 0.095%, ぎん☘️ sits above the 25th percentile of the 217,635 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.148%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.148% |
| 75th percentile | 0.704% |
| 90th percentile | 2.63% |
| 99th percentile | 82.4% |
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 21:00 UTC, and Friday 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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 80% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 0% 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 108 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 29, 202613x their median
亡くなった父に2,000万の借金発覚 僕「もちろん相続放棄します」 税「.....................」 僕「父とは仲悪く実家に帰ってなくて」 税「息子さん分でタヒ亡保険金500万あります」 僕「マイナス1,500万だから相続放棄です」 税「お言葉ですが...」
- Sep 23, 20267.1x their median
9月22日。午前6時48分。 妻のiPhoneに着信 知らない番号「080-3843-××××」 僕「とらないほうがいいよ」 妻「でもずっと鳴ってて胸騒ぎがする」 妻が通話ボタンをおすと 昨日、夜行バスでUSJに向かったはずの娘の声が... 「ママ.....
- Sep 17, 20264.2x their median
引っ越しの「退去費用」の闇 ←管理会社優勢 管理会社負け→ https://t.co/jQXgBPVLDn
- Aug 27, 20262.6x their median
転職した人ならわかるはず。 パワポにでる会社の文化。。。 ←JTC コンサル→ https://t.co/zxTl2wB1ym
- Sep 20, 2026
おーい、イエベ‼️ゼッタイ見つけたら買え‼️ ブタパレットごとく、シカもすでに完売はじまってる。X民にバレる前に手に入れろ‼️ https://t.co/7JWGLhCzfk
- Aug 13, 2026
給料いっしょなのに貯金できないのなんで? ←平成 令和→ https://t.co/hEMrR0jj04
- Sep 23, 2026
やっと新NISAはじめた36歳後輩女子からのLINE 女「やっと楽天証券開設しました」 僕「......」 女「銀行も楽天銀行」 僕「......」 女「カードも楽天カードでポイントGET!」 僕「......」 女「銘柄はS&P500かオルカンですよね?」 僕「ちょっと待って!それだと....」
- Aug 27, 2026
ルルルンのIDマスク完全に夏特化型パックだわ🥺🥺 最高ランク※1の抗酸化成分※2「イデベノン*1」と次世代ひきしめ成分「イレイザーX*2のW配合がヤバくて、毛穴の目立たない※3レタッチ肌に導いてくれる...。他にもグルタチオンとか豪華な成分配合されててマジで成分オバケすぎるwww【PR】【ルルルン】 https://t.co/zGJdiFc20c
- Aug 29, 2026
新NISAで10年、1,000万円貯まるひとの特徴 ←貯まる 貯まらない→ https://t.co/LUjfbX2gEz
- Aug 26, 2026
https://t.co/V0q7IBwvFG
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
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 465 interactions against 492K followers, an engagement rate of 0.095%. Posts are seen about 156K times each, and 0.299% of those impressions turn into an interaction. That is about 31.6% 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, though only 17% of days saw any activity at all. Most posts go out around 21:00 UTC, and Friday is the busiest day of the week. Of the 5 posts sampled, 80% carry an image or video. The account's strongest tracked post pulled 7.1K interactions, about 13x its own typical post. Recurring topics include #つくろう新しい松山, #レディヤング薬局, #松山市. Only 5 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
- What is ぎん☘️'s engagement rate on X?
- ぎん☘️ (@gin_sneaker) has an engagement rate of 0.095%, based on the median interactions across 5 original posts from the last 30 days against 492,087 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.095%, ぎん☘️ sits above the 25th percentile of the 217,635 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 @gin_sneaker have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @gin_sneaker post?
- Most posts go out around 21:00 UTC, and Friday is its busiest day, at roughly 1.6 posts per day across the measured window.