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Gooeye engagement report

@Gooeye3 - 168K followers on X

Measured over 5 original posts from a 30-day window, last computed on October 24, 2026.

Engagement

Per follower
0.218%
of 168K followers
Per impression
3.80%
9.6K views on a typical post
Reach
5.74%
of its followers see a post
Typical post
365
interactions (median)
Saved
0.094%
9 bookmarks on a typical post
Posting rate
0.2/day
active 20% of days
Peak time
15:00 UTC
Sunday

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 365 interactions against 168K followers, an engagement rate of 0.218%. Posts are seen about 9.6K times each, and 3.80% of those impressions turn into an interaction. That is about 5.73% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.2 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 15:00 UTC, and Sunday is the busiest day of the week. Of the 5 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 145K interactions, about 396x its own typical post. 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 24, 2026.

Where this sits in the catalog

At 0.218%, Gooeye sits above the 50th percentile of the 218,597 accounts in this comparison. That places it in the above the median band, which runs 0.149% to 0.705%.

p100.004%
p250.025%
p50 (median)0.149%
p750.705%
p902.63%
p9982.5%
Engagement rate as a share of followers, across the 218,597 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 21,723 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 percentile0.025%
50th percentile0.149%
75th percentile0.705%
90th percentile2.63%
99th percentile82.5%

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 15:00 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: 15:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 15:00 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 video100% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--8%-9% to -7%41K
  • 100% 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 37 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

  • Jun 14, 2025396x their median

    これ世界一バズったストレッチなんだけど。スマホ首、猫背、ストレートネックの人。そして顔のたるみが出てきた人まで。自然とガチで良くなるから凝り固まったらすぐにやってくれ。肩が痛い人だけ注意点があるんだけど、、 https://t.co/jOLmyrA3vp

    130K13K1111.3K37M viewsView on X
  • Apr 6, 202699x their median

    📌คุณภัทรมาเล่าเรื่องอาบน้ำมนต์ล้างซวย อาบไปทั้งหมด 7 วัน พอวันที่ 7 คลิปแมส มีงานคอนเฟิร์มทั้งเดือน 30 งาน มีผู้ใหญ่คนนึงแนะนำมา วิธีการคร่าวๆ คือ -เอาน้ำมนต์ของศาลหลักเมืองกทม. -ตั้งจิตอธิฐานที่ศาลหลักเมือง บอกว่าเราเป็นใครชื่ออะไร วันเกิด อายุ ที่อยู่ เลขที่บัตรปชช. (คุณภัทรเป็นอินฟลู บอกชื่อช่องทางต่างๆ อย่างละเอียด สะกดยังไง) -บอกความรู้สึกของเรา (คุณภัทรบอกว่าอธิฐานเหมือนเล่าเรื่องให้ฟัง เจอสิ่งติดขัดต่างๆ) -บอกว่าเราตั้งใจจะทำอะไร….ขอให้ผลของความพยายามส่งผลให้……ขอให้ขจัดปัดเป่าสิ่งที่ติดค้างด้วยการอาบน้ำมนต์นี้ (คุณภัทรบอกว่า สัญญาว่าจะทำคลิปลงทุกวัน ขอให้มีลูกค้าเข้า คนดูชอบคลิป) -ให้เอาน้ำมนต์อาบทุกครั้งที่อาบน้ำ หลังอาบน้ำเสร็จ เทน้ำมนต์นิดนึงจากหัวไล่ลงมา อธิษฐานว่าขอให้สิ่งไม่ดี เรื่องที่ครอบงำเราอยู่ ไหลออกไปกับน้ำ ⭐️ให้อธิฐานอย่างตั้งใจ คุณภัทรทำครบ 7 วัน เรื่องงานก็ดีขึ้นอย่างเห็นได้ชัด 🍀คำแนะนำสำหรับคนที่อยากจะลองทำบ้าง -ให้เอาน้ำมนต์จากที่ไหนก็ได้ ให้เริ่มปีใหม่ไทย ก็คือ วะนสงกรานต์ 14 เมษา อาบน้ำมนต์แบบนี้เช้าเย็น 7 วันติด

    20K16K8803.1M viewsView on X
  • Apr 19, 202683x their median

    서울아산병원 내과 우창윤 교수님이 계란과 올리브오일 같이 섭취하면 위고비 효과 얻는다고 하셨다네요 약물은 이길 수 없지만 몸엔 좋다니 괜찮을듯 영상은 로막시모 올리브오일 업체꺼임 광고아님 집에 있는 올리브오일로 고고 https://t.co/m6j3UXywRJ

    21K5.4K2283.3K11M viewsView on X
  • Sep 27, 20263.1x their median

    นี่กูอยากผอมหรอนี่ https://t.co/uvj9wkdZYi

    1.1K5731147K viewsView on X
  • Sep 21, 20262.0x their median

    📸 https://t.co/L3CU3PiecK

    72297018K viewsView on X
  • Sep 19, 20261.9x their median

    https://t.co/VWjmbKZmG7

    68873021K viewsView on X
  • Jun 25, 20261.8x their median

    🫩 https://t.co/dLjXd5gKcc

    6411713018K viewsView on X
  • Jul 6, 20261.6x their median

    ระหว่างขับรถฉันหมดแรง https://t.co/eeMvbdiFDn

    5651313021K viewsView on X
  • Sep 7, 2026

    ☺️ https://t.co/DZI0ZfjyLw

    49782014K viewsView on X
  • Oct 3, 2026

    🧺🧺🧺 https://t.co/PGqW132ime

    44655011K 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 365 interactions against 168K followers, an engagement rate of 0.218%. Posts are seen about 9.6K times each, and 3.80% of those impressions turn into an interaction. That is about 5.73% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.2 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 15:00 UTC, and Sunday is the busiest day of the week. Of the 5 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 145K interactions, about 396x its own typical post. 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 Gooeye's engagement rate on X?
Gooeye (@Gooeye3) has an engagement rate of 0.218%, based on the median interactions across 5 original posts from the last 30 days against 167,685 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.218%, Gooeye sits above the 50th percentile of the 218,597 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 @Gooeye3 have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @Gooeye3 post?
Most posts go out around 15:00 UTC, and Sunday is its busiest day, at roughly 0.2 posts per day across the measured window.

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