Dewjsu
GMMTV | Artist
1,006,988
Followers
39
Following
525
Tweets
9,483.4
Avg Engagement
467
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @dew_jsu'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: Mega Influencer (1M+)
- Account Age:2017-09-09
- Verification:No
- Location:กรุงเทพมหานคร, ประเทศไทย
Data Summary
- Tweets Analyzed:455
- Avg Likes per Tweet:5,820.1
- Avg Retweets per Tweet:3,663.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 455 tweetsdew_jsu's tweets receive high average likes and retweets, indicating strong audience interaction. Their content is well-received and often shared, contributing to their popularity.
5,820.1
Avg Likes/Tweet
3,663.3
Avg Retweets/Tweet
2,648,146
Total Likes
1,666,788
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
414
Median Likes
981
Median Retweets
11,198
75th Percentile
161,080
Top Tweet
9.42
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
23.3%
Original
18.5%
Replies
45.1%
Retweets
13.2%
Quotes
0.0%
Threads
0.7%
With Media
51.6%
With Links
37.8%
With #Tags
64.8%
With @Mentions
29.5%
With Emojis
84
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.79
Reply/Original Ratio
0.29
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.6%
Weekday Posts
31.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 455 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 205 retweets (45% 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 455 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 followersThe audience primarily consists of Thai fans and followers of GMMTV, with a strong interest in entertainment and celebrity news. They are engaged and responsive to content and interactions.
Below Average
Audience Quality
42.5%
Suspicion Index
63.4%
Low-Quality %
0
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
68.2%
Empty Bio
69.1%
<10 Tweets
0.3%
Mass Following (>2K)
0.0%
New (<90 days)
88.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.7%
No URL
58.6%
<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.
1,529,536
Total Potential Reach
0
Median Follower Reach
1
75th Percentile Reach
0.3%
>1K followers
0.0%
>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).
16.1%
Creators
8,073 accounts
14.7%
Consumers
7,358 accounts
69.1%
Dormant
34,569 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):
9
Verified Followers
0.01% of total
19,150
Protected Accounts
19.15% of total
1 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 |
|---|---|---|---|
| @janeeeyeh | 320,513 | Influencer | N/A |
| @Bbclub9339 | 90,342 | Digital Marketer | Cycling, Promotion, Contact |
| @JaneJi1212 | 86,644 | Promoter | Promotion, Retweets, Chat |
| @Ton_26012540 | 64,859 | Modeling | Modeling, Video shooting, Fashion shows |
| @BBGaysex | 32,400 | - | - |
| @Gavinnk_56 | 20,399 | - | - |
| @phuprepo | 18,648 | - | - |
| @ThitikanMulkra1 | 18,009 | - | - |
| @budi_off | 16,613 | - | - |
| @JoyUbeku | 16,071 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
33,324
Followers With Bio
66,676
Followers Without Bio
33.32%
% With Bio
66.68%
% 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 455 analyzed536,586
Combined Engagement
236,563
Total Likes
300,023
Total Retweets
107,317
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
RT @kittyumbs: คนเกลียดเยอะขนาดนี้มึงนอนหลับได้ไงวะ
ขอบคุณที่ร่วมเดินทางมากับพวกเรานะ แต่ถึงเวลาต้องส่งนายกลับบ้านแล้วเร็น ขอบคุณที่แบ่งปันอะไรหลายๆอย่าง ในอนาคตอาจจะเรียกนายออกมาช่วยอีกนะ ไว้เราจะเจอกันอีก #F4ThailandFinalEP https://t.co/4OzqQzIUJl
สลับร่าง @winmetawin #F4ThailandEP2 https://t.co/jxFTH7csW0
https://t.co/cA09Jnz2uM
RT @EakaratTkn: อ.อ๊อด วีรชัย พุทธวงศ์ โพสต์เฟสบุ๊คระบุ “หน้ากากเต็มหน้ากันก๊าซพิษ ชุดนี้แหละที่ดับเพลิงที่กิ้งแก้วควรได้ใช้” #ม็อบ18กรกฎา…
Key Insights & Takeaways
Their bio highlights their role as an artist and association with GMMTV, which likely drives their audience interest. They frequently share links to content, suggesting a focus on promoting their work and collaborations. Their tweets often include personal messages and farewells, indicating a close relationship with their followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,006,988
- + 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 @dew_jsu reveals an exceptionally influential Twitter presence with 1,006,988 followers. The account demonstrates a content-creator strategy, averaging 9,483.4 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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