gog engagement report
@thing_gog - 287K followers on X
Measured over 19 original posts from a 30-day window, last computed on September 6, 2026.
Engagement
A typical post picks up 1.2K interactions against 287K followers, an engagement rate of 0.43%. Measured over 19 original posts, its engagement rate beats 85% of 6,874 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 83K times each, and 1.49% of those impressions turn into an interaction. That is about 29.0% 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, though only 27% of days saw any activity at all. Most posts go out around 03:00 UTC, and Saturday is the busiest day of the week. Of the 19 posts sampled, 79% carry an image or video. The account's strongest tracked post pulled 40K interactions, about 32x its own typical post.
Measured over 19 original posts from a 30-day window, last computed on September 6, 2026.
Compared with accounts its own size
gog's engagement rate beats 85% of the tracked X accounts closest to it in follower count (6,874 accounts, accounts of similar size (decile 7 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 58% 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 0.43%, gog sits above the 50th percentile of the 66,393 accounts in this comparison. That places it in the above the median band, which runs 0.1% to 0.499%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.016% |
| 50th percentile | 0.1% |
| 75th percentile | 0.499% |
| 90th percentile | 2.09% |
| 99th percentile | 119.5% |
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 03:00 UTC, and Saturday 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 | 79% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 0% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | -8% | -9% to -7% | 41K |
- 79% 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 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
- Jul 26, 202632x their median
카리나가 게임캐릭터 같을 때.. 진짜같음 https://t.co/XNw22Idt4r
- Apr 13, 202622x their median
요즘 제가 이러한 무드에 빠졌는데요. https://t.co/8JWfNGIlYK
- Aug 29, 202619x their median
울산여고 한소희를 기억해주세요•• https://t.co/rnmx6gmfBu
- Jul 19, 20269.0x their median
서울 {빙수맛집} 총정리 zip. 출처 : @ must.know.trend https://t.co/VBCEa4VKfE
- Aug 28, 20268.8x their median
동물원에서 고릴라 2마리 탈출함 https://t.co/e3SSmhcHvm
- Aug 9, 20268.1x their median
제가 원하는 가을 슬래커 룩 .. https://t.co/F1UGZHdLsW
- Aug 29, 20264.6x their median
아 연애하고 싶다. 커플링 맞춰서 약지에 나누어끼고 맛있는 디저트 뿌수러 카페에 다니고 아플땐 간호해주고 잘 잤냐고 아침에 카톡하고 자기 전에는 오늘 하루 어땠는지 전화하고 서로 밥은 먹었냐 확인하고 은은한 이끌림으로 시작해서 후져하는 게 비슷한 느낌으로 서로가 편안한 관계가 되고싶다
- Aug 29, 20264.5x their median
뭔가 선택이 어려울 때 이 방법 써보셈 <좋아하는 사람을 모방하면 대체로 그 선택은 괜찮음>
- Aug 29, 20263.8x their median
신예은 어릴때 https://t.co/p6CDvceIBM
- Aug 18, 20263.5x their median
가을 출근룩 추구미 총집합체 https://t.co/Zaoj3mZ4Cg
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 1.2K interactions against 287K followers, an engagement rate of 0.43%. Measured over 19 original posts, its engagement rate beats 85% of 6,874 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 83K times each, and 1.49% of those impressions turn into an interaction. That is about 29.0% 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, though only 27% of days saw any activity at all. Most posts go out around 03:00 UTC, and Saturday is the busiest day of the week. Of the 19 posts sampled, 79% carry an image or video. The account's strongest tracked post pulled 40K interactions, about 32x its own typical post.
- What is gog's engagement rate on X?
- gog (@thing_gog) has an engagement rate of 0.43%, based on the median interactions across 19 original posts from the last 30 days against 286,860 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.43%, gog sits above the 50th percentile of the 66,393 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 @thing_gog have real engagement?
- Its engagement rate beats 85% of the tracked X accounts closest to it in follower count (6,874 accounts), which puts it in the top quarter 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 @thing_gog post?
- Most posts go out around 03:00 UTC, and Saturday is its busiest day, at roughly 1.2 posts per day across the measured window.