dahSyat
DahSyatnya2021 with Raffi Ahmad, Denny Cagur, Ayu Dewi, And Tiara Andini
4,550,919
Followers
603
Following
108,137
Tweets
1.8
Avg Engagement
2,777
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @dahSyatMusik'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:2009-09-17
- Verification:No
- Location:Studio 13 RCTI
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:1.3
- Avg Retweets per Tweet:0.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account has moderate engagement with an average of 203 likes and 58 retweets per tweet. The content is likely shared widely due to its relevance and popularity.
1.3
Avg Likes/Tweet
0.5
Avg Retweets/Tweet
4,371
Total Likes
1,630
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
1
75th Percentile
998
Top Tweet
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
98.9%
Original
0.0%
Replies
1.1%
Retweets
0.0%
Quotes
0.0%
Threads
0.0%
With Media
99.1%
With Links
98.8%
With #Tags
48.3%
With @Mentions
7.3%
With Emojis
122
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.0
Reply/Original Ratio
0.03
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
77.5%
Weekday Posts
22.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 36 retweets (1% 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 3,250 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 is primarily interested in celebrity news, K-pop, and entertainment updates. They are likely young adults and teenagers who follow trending pop culture topics.
Below Average
Audience Quality
42.9%
Suspicion Index
55.1%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
47.1%
Empty Bio
78.9%
<10 Tweets
1.5%
Mass Following (>2K)
0.0%
New (<90 days)
90.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.4%
No URL
63.1%
<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.
9,309,399
Total Potential Reach
1
Median Follower Reach
4
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).
6.8%
Creators
3,382 accounts
14.4%
Consumers
7,190 accounts
78.9%
Dormant
39,428 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
7,236
Protected Accounts
7.16% 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 |
|---|---|---|---|
| @INDONESIAinLOVE | 4,944,479 | News Outlet | Top News, Ilmu Pengetahuan, Breaking News |
| @Starhitsid | 1,988,673 | Digital Content Creator | videos, channels, contents |
| @VinoGBastian__ | 1,923,030 | Actor | Movies, Acting, Entertainment |
| @tonykojansow | 791,980 | - | - |
| @IamMzilikazi | 540,749 | Musician | Pan-African music, Album, Rise |
| @economic2112 | 380,450 | Journalist | World News, Politics, Economy |
| @SariInd44000909 | 281,719 | - | - |
| @SSscoop475 | 241,478 | Activist | World Peace, Civil Rights, Tibetan Buddhism |
| @tjahjo_kumolo | 211,228 | Politician | Politics, Government, Leadership |
| @MikeLewis_ML | 127,749 | Athlete | Work, Play, ZoZo |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
61,128
Followers With Bio
39,864
Followers Without Bio
60.53%
% With Bio
39.47%
% 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 3,250 analyzed2,713
Combined Engagement
1,843
Total Likes
870
Total Retweets
543
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
3 Fakta Kedekatan Lisa BLACKPINK dengan Neymar, Bintang PSG yang Jadi BLINK #NewsRCTIPlus @RCTIPlus https://t.co/AIH5BvtypU
Jadi Girl Crush Baru, Ini Fakta Menarik Seputar Zee JKT48! #NewsRCTIPlus @RCTIPlus https://t.co/ptXyjc0BAx
RT @TINBSOfficial: Jangankan Agus, mimin pasti juga nervous kalo disuruh nyanyi depan iKON JAY & DK🤭 Saksikan secara streaming di RCTI+ 🔗…
Lisa BLACKPINK Cetak Sejarah, Jadi Solois Pertama yang Menangkan Best K-Pop MTV VMA #NewsRCTIPlus @RCTIPlus https://t.co/upy7OoTapS
Keluar dari JKT48, Nadila Wantari Fokus Jadi Penyanyi Solo #RCTIPlus 👉🏻 https://t.co/bXChuDUfU8 https://t.co/U0asCpkp6Z
Key Insights & Takeaways
The account frequently collaborates with RCTIPlus for news content, indicating a strategic partnership. It focuses on high-profile celebrities like Lisa BLACKPINK and Neymar, which drives engagement. The content is tailored to appeal to fans of K-pop and celebrity gossip, ensuring a consistent and targeted audience.
Strengths
- + Established follower base of 4,550,919
- + 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 @dahSyatMusik reveals an growing Twitter presence with 4,550,919 followers. The account demonstrates a content-creator strategy, averaging 1.8 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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