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고재열(여행감독) engagement report

@dogsul - 228K followers on X

Measured over 1 original post from a 30-day window, last computed on October 1, 2026.

Engagement

Per follower
0.002%
of 228K followers
Per impression
0.169%
2.4K views on a typical post
Reach
1.04%
of its followers see a post
Typical post
4
interactions (median)
Saved
0.042%
1 bookmarks on a typical post
Posting rate
0.03/day
active 3% of days
Peak time
00:00 UTC
Monday

Early reading. We have captured 1 original post 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 4 interactions against 228K followers, an engagement rate of 0.002%. Posts are seen about 2.4K times each, and 0.169% of those impressions turn into an interaction. That is about 1.04% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.03 posts a day over the last 30 days, though only 3% of days saw any activity at all. Most posts go out around 00:00 UTC, and Monday is the busiest day of the week. Of the 1 posts sampled, 100% link out. The account's strongest tracked post pulled 73 interactions, about 18x its own typical post. Only 1 original post 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 1 original post from a 30-day window, last computed on October 1, 2026.

Where this sits in the catalog

At 0.002%, 고재열(여행감독) sits below the 10th percentile of the 204,956 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 204,956 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 00:00 UTC, and Monday 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: 00:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 00:00 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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
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 video0% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 0% 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.
  • 100% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 180 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

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

  • Oct 10, 202418x their median

    고은이 아니라 황석영이 아니라 한강이라 다행이다 확실히 노벨상은 눈이 밝다 고은과 황석영의 시대를 넘어서 현대 한국인의 내면을 읽어낸 작가를 선택했다. 고은과 황석영을 생략한 것이 아니라 뛰어넘은 한강을 골랐다. 고은이나 황석영이 받았다면 우리가 지나온/두고온 어느 터널에 우리에 대한 해석을 맡겨야 했을 것이고, 그만큼 답답했을 것이다. 노벨상은 치기 어린 민중예술이 아니라 인간 내면을 들여다 본 심층과 심연의 예술을 택했다. 이제 한류 현상에 대한 수준 높은 설명 하나가 더해졌다. 박찬욱과 봉준호와 홍상수의 영화 언어를 설명하려면 고은과 황석영이 아니라 한강이 필요하다. 한강을 통해 읽어낸 우리 문화의 격조가 우리 스스로를 증명해야 하는 피로를 덜 수 있게 해주었다. 지난 역사의 모든 성취를 녹여낸 한강의 집요한 노력에 경의를 표한다.

    5219114.4K viewsView on X
  • Apr 30, 202315x their median

    ‘바쁜 현대 도시인을 위한 어른의 여행클럽’을 구축하고 있습니다. 제가 기획하는 여행 안내 받으시고 싶으시면 여기 등록해 주세요~ 회비 등 별도의 요구사항은 없습니다. 참가하고 싶은 여행 있으시면 그때 말씀해 주시면 됩니다. https://t.co/bt8gz8a80W

    38517011K viewsView on X
  • Oct 10, 20244.3x their median

    누나는 신경숙이 아니라서 쪽방의 기억을 소설로 쓰지 못했다. 누나는 심상정이 아니라서 노동자 체험을 바탕으로 정치인이 되지도 못했다. 그래도 누나는 ‘어른의 여행클럽, <월간 고재열>’의 최고 후원자다. 치매 걸린 어머니를 챙기고 있는 사람도 누나고. https://t.co/yHVrsctjED

    86121.9K viewsView on X
  • Oct 27, 20243.5x their median

    신해철 10주기, 90년대 초중반 학번에게 신해철은? “우리는 서태지 세대가 아니라 신해철 세대였다” https://t.co/kdZSqIlnzf

    113001.5K viewsView on X
  • Jul 22, 20253.3x their median

    기자를 그만두고 여행감독으로 전향하자마자 코로나가 발발했다. 그 시기에 해외로 나가지 못해서 국내여행 답사를 많이 했다. 그때 발견한 흥미로운 사실들을 한 번 정리해 보았다. 중년 여행자의 관점이다. https://t.co/3enkgRpPxw

    103002.4K viewsView on X
  • Jul 23, 20253.0x their median

    그냥 아무데서나 먹어도 미식기행이 되는 곳, 남도.

2025 ‘어른의 여행, 트래블러스랩’의 남도 워케이션에 이용한 식당 리스트. 다음에 남도 가실 때 참고하시길~~~ 2025 남도기행 시즌3 - 남도워케이션에 갔던 맛집들 - https://t.co/fH68NiJrmv

    84001.7K viewsView on X
  • Feb 22, 20252.8x their median

    마추픽추, 티티카카, 우유니, 안데스는 남미 여행의 시그니처 여행지다. 그중 우유니가 최고라고 하는 사람도 많다. 우유니에 갔을 때 그 말에 수긍할 수밖에 없었다. 그동안 세계 여러 호수에서 난다긴다 하는 반영을 보아왔지만 우유니의 반영은 클래스가 달랐다. https://t.co/dJ56cTj8yr

    72202.5K viewsView on X
  • Jul 20, 20242.5x their median

    여름 여행지로 스톡홀름이 나쁘지 않은, 아니 훌륭한 이유들, 사진으로 보는 스톡홀름의 여름. https://t.co/i3KMq7stb8

    72012.0K viewsView on X
  • Feb 9, 20252.3x their median

    20년 동안 하던 기자 일을 멈추고 여행감독으로 나선지 5년 정도 되었네요. '바쁜 현대 도시인을 위한 어른의 여행'을 만들기 위해 여행클럽을 조직하고 있습니다. 이제 어느 정도 폼이 올라와서 연간 라인업을 구성해서 '여행 시즌제'를 구현하고 있습니다. 아직 미흡하지만 제가 차려놓은 여행 밥상입니다. https://t.co/h6RjOrQQnD

    90001.7K viewsView on X
  • Jan 31, 20252.0x their median

    이번에 '리장고성 호캉스 & 운남 미식기행'을 다녀와서 중국 여행에 유용한 애플리케이션을 간단히 정리해 보았습니다. 중국어를 모르는 사람이 중국을 여행할 때 활용해 볼 수 있는 어플들입니다. https://t.co/tw2zqrxAxe

    53001.5K 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 4 interactions against 228K followers, an engagement rate of 0.002%. Posts are seen about 2.4K times each, and 0.169% of those impressions turn into an interaction. That is about 1.04% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.03 posts a day over the last 30 days, though only 3% of days saw any activity at all. Most posts go out around 00:00 UTC, and Monday is the busiest day of the week. Of the 1 posts sampled, 100% link out. The account's strongest tracked post pulled 73 interactions, about 18x its own typical post. Only 1 original post 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 고재열(여행감독)'s engagement rate on X?
고재열(여행감독) (@dogsul) has an engagement rate of 0.002%, based on the median interactions across 1 original posts from the last 30 days against 227,945 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.002%, 고재열(여행감독) sits below the 10th percentile of the 204,956 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 @dogsul have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @dogsul post?
Most posts go out around 00:00 UTC, and Monday is its busiest day, at roughly 0.03 posts per day across the measured window.

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