Jung Il Woo 정일우
As for me, happiness means to make other people happy.
372,166
Followers
3
Following
1,448
Tweets
323.1
Avg Engagement
1,748
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ActorJungilwoo'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: Macro Influencer (100K+)
- Account Age:2010-12-01
- Verification:No
- Location:Korea
Data Summary
- Tweets Analyzed:1,436
- Avg Likes per Tweet:185.2
- Avg Retweets per Tweet:137.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,436 tweetsHis tweets typically receive an average of 2,036 likes and 1,100 retweets, indicating a highly engaged and supportive fan base.
185.2
Avg Likes/Tweet
137.8
Avg Retweets/Tweet
266,005
Total Likes
197,897
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
34
Median Likes
95
Median Retweets
445
75th Percentile
3,229
Top Tweet
0.87
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
56.7%
Original
4.9%
Replies
38.4%
Retweets
0.0%
Quotes
0.0%
Threads
1.0%
With Media
76.1%
With Links
12.2%
With #Tags
51.6%
With @Mentions
12.7%
With Emojis
85
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.09
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.7%
Weekday Posts
28.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,436 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 551 retweets (38% 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 1,436 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 50,000 followersHis audience primarily consists of fans of his acting roles and those interested in Korean entertainment. They engage with his content through likes and retweets.
Average
Audience Quality
24.6%
Suspicion Index
30.8%
Low-Quality %
9
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40.0%
Empty Bio
32.2%
<10 Tweets
2.4%
Mass Following (>2K)
0.0%
New (<90 days)
58.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.0%
No URL
21.6%
<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.
28,713,495
Total Potential Reach
9
Median Follower Reach
50
75th Percentile Reach
1.4%
>1K followers
0.1%
>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).
46.7%
Creators
23,327 accounts
21.1%
Consumers
10,553 accounts
32.2%
Dormant
16,120 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
0.02% of total
17,280
Protected Accounts
17.11% of total
8 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 |
|---|---|---|---|
| @JohnCena | 14,106,677 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,213 | - | - |
| @wonsoonpark | 1,889,424 | Social Designer | Social Designer, People-Centered, Seoul |
| @oisoo | 1,722,041 | Novelist | Korean literature, storytelling, emotions |
| @TwitterKorea | 1,273,476 | - | - |
| @LeBronJames | 1,006,961 | - | - |
| @MemesOnHistory | 622,209 | - | - |
| @armandoaraiza | 425,765 | Actor | Productor, Actor, Comunicador |
| @Daminous_Purity | 354,418 | Minister | WWE, NFL, FIFA |
| @Nattha_ThaiPBS | 306,635 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
54,902
Followers With Bio
46,092
Followers Without Bio
54.36%
% With Bio
45.64%
% 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 1,436 analyzed14,666
Combined Engagement
11,201
Total Likes
3,465
Total Retweets
2,933
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Finally!!!!!!!🎉🎉🎉 "Cinderella and four Knights" #Cinderella #CAFK will be on-air on 12th of… https://t.co/5EQZOpojOH
突然の訪問にもかかわらず、温かく迎えていただきありがとうございました。 偶然にお会いできてとても光栄でした。 幸せな家族旅行の締めくくりになりました。 そして、私の作品を気に入って下さって感謝いたします。 どうぞお体に気をつけてお過ごし下さい。 #法隆寺 https://t.co/RYCnPHg301
[스타캐스트] “300렐라와 1명의 기사”…정일우, 10주년 팬미팅 https://t.co/fQr6OXYouL
졸업! 축하해줘서 땡큐! 나도 선물있어.. 궁금해? http://t.co/Z4jsVe7RSU
2012 MAMA. 홍콩 팬분들 만나서 너무 반가웠어요^^ 다음주 대만에서 만나요!!!! http://t.co/vRRS4Mwn
Key Insights & Takeaways
He frequently expresses gratitude and appreciation for his fans' support. He promotes his work and projects through his tweets. He shares personal and professional milestones, which resonate well with his audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 372,166
- + 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 @ActorJungilwoo reveals an well-established Twitter presence with 372,166 followers. The account demonstrates a content-creator strategy, averaging 323.1 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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