기상청
대한민국 기상청! 날씨와 기상정보, 지진정보를 제공합니다 :)
72,434
Followers
23,149
Following
14,646
Tweets
158.9
Avg Engagement
841
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @kma_skylove's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.
Account Classification
- Account Size: Mid-Tier (10K+)
- Account Age:2010-05-14
- Verification:Yes
- Location:Seoul, KOREA
Data Summary
- Tweets Analyzed:3,238
- Avg Likes per Tweet:37.6
- Avg Retweets per Tweet:121.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,238 tweetsThe account consistently receives a high number of likes and retweets, indicating strong audience interaction. It leverages multimedia content and collaborations to drive engagement.
37.6
Avg Likes/Tweet
121.3
Avg Retweets/Tweet
121,792
Total Likes
392,865
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
17
Median Likes
53
Median Retweets
130
75th Percentile
19,884
Top Tweet
2.19
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
96.3%
Original
2.0%
Replies
0.4%
Retweets
1.3%
Quotes
0.0%
Threads
0.0%
With Media
88.8%
With Links
65.6%
With #Tags
1.6%
With @Mentions
13.2%
With Emojis
153
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.02
Reply/Original Ratio
3.42
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.5%
Weekday Posts
24.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,238 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 12 retweets (0% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.
Posting Patterns & Optimal Timing
Based on 3,238 tweetsEngagement by Hour (UTC)
Posting Frequency Over Time
Timing Insights
Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.
Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.
Audience Demographics
Based on 10,000 followersThe primary audience includes weather enthusiasts, general public, and possibly younger users interested in short-form content. The account also targets those who follow trending topics and collaborations.
Average
Audience Quality
29.7%
Suspicion Index
47.0%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
55.0%
Empty Bio
46.4%
<10 Tweets
2.4%
Mass Following (>2K)
0.0%
New (<90 days)
56.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.1%
No URL
39.0%
<3 Tweets
Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
1,926,532
Total Potential Reach
4
Median Follower Reach
27
75th Percentile Reach
2.0%
>1K followers
0.2%
>10K followers
0.0%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
40.5%
Creators
4,053 accounts
13.1%
Consumers
1,306 accounts
46.4%
Dormant
4,641 accounts
Follower Influence Distribution
How many followers do their followers have?
Follower Account Age
How long have followers been on Twitter?
Geographic Distribution
Top locations where followers are based (from those who share location data):
16
Verified Followers
0.16% of total
2,176
Protected Accounts
21.76% of total
3 years
Avg Account Age
of their followers
Notable Followers (By Influence)
Top accounts following this user, sorted by their follower count:
| Username | Followers | Profession | Interests |
|---|---|---|---|
| @KBS_drama | 421,572 | Entertainment | Drama, KBS, Love |
| @oco77 | 259,216 | Unknown | Challenge, Learn, Adapt |
| @USEmbassySeoul | 65,590 | Diplomacy | U.S.-Korea relationship, news, diplomacy |
| @moscareto | 48,762 | Author | books, email, videos |
| @500ml7_ | 42,167 | Influencer | K-pop, Fashion, Beauty |
| @jeongminnkim | 26,646 | - | - |
| @changdeokpalace | 25,490 | - | - |
| @rainbow19660 | 22,421 | - | - |
| @DrEcsta | 22,400 | - | - |
| @glutamin17171 | 19,702 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,495
Followers With Bio
5,505
Followers Without Bio
44.95%
% With Bio
55.05%
% Without Bio
Why Audience Demographics Matter
Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.
Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.
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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,238 analyzed44,880
Combined Engagement
18,788
Total Likes
26,092
Total Retweets
8,976
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
❄오늘 서울에 내린 첫눈 소식 전해드렸었는데요. 많은 분들이 못보셨을 것 같아서 서울기상관측소에서 촬영된 눈 내리는 모습을 영상으로 담아보았습니다. 서울의 오늘 첫 눈은 작년에 비해 25일 늦고, 평년에 비해 19일 늦게 관측되었습니다. https://t.co/fFJbsVpzFq
[봉시리즈] 아기기상청을 아시나요? | NCT 나재민님께 드리는 감사인사 | 아무튼출근 전일봉 주무관 #삼봉 #Shorts https://t.co/tdn3zYVl4Y - @YouTube 주관적이라 더 귀여운 #아기기상청 님께 기상청 대표로 감사의 인사드립니다🙏
#용오름 오늘(3일) 11시경 울진 인근 해상에서 용오름이 발생했습니다. 용오름 알아보기: https://t.co/9GF3zRn2xS 영상 제보: 최경순님 https://t.co/klQkFA32dL
#광복절 #8월15일 #광복74주년 '#1945년8월15일_날씨'는 어땠을까요? 오늘, 광복을 위해 희생하신 수 많은 독립운동가분들을 기리는 하루를 보내시기 바랍니다. https://t.co/dsrLoOPfCV
#한파 내일(13일) 낮부터 쌀쌀해져 모레 아침 대부분 5도 내외로 내일보다 10도가량 큰 폭으로 떨어져 춥겠고, 내일 밤 경기북부와 강원내륙과 산지에 한파특보 발표될 가능성 있겠습니다. #서리와얼음 모레와 글피 새벽~아침 일부지방 서리가 내리고 얼음 어는 곳 있겠습니다. 유의해주세요! https://t.co/GgJdoljFNi
Key Insights & Takeaways
The account uses multimedia content like videos to enhance engagement and shareability. Collaborations with influencers and YouTube channels help expand reach and attract new followers. Emphasizing both informative and entertaining content keeps the audience interested and active.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 72,434
- + Strong original content creation
- + Active presence with consistent posting
Opportunities
- ~ Optimize posting times for peak engagement windows
- ~ Analyze top-performing content for replicable patterns
- ~ Leverage geographic concentration for targeted content
- ~ Explore collaboration potential with followed accounts
Summary
This analysis of @kma_skylove reveals an well-established Twitter presence with 72,434 followers. The account demonstrates a content-creator strategy, averaging 158.9 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.
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