PT. JASAMARGA
Official Twitter Lalu Lintas Jasa Marga • Perintis penyelenggaraan jalan tol di Indonesia sejak 01 Maret 1978 • Call Center 14080 • Korporat @OFFICIAL_JSMR
359,715
Followers
42
Following
2,840,674
Tweets
0.3
Avg Engagement
666
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @PTJASAMARGA'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:2012-03-30
- Verification:No
- Location:DKI Jakarta
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:0.2
- Avg Retweets per Tweet:0.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,249 tweetsThe account has low engagement rates, with average likes and retweets, suggesting limited interaction from followers. The content is mostly informational and not designed for discussion.
0.2
Avg Likes/Tweet
0.1
Avg Retweets/Tweet
737
Total Likes
280
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
0
75th Percentile
100
Top Tweet
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
70.5%
Original
29.5%
Replies
0.0%
Retweets
0.0%
Quotes
0.0%
Threads
0.0%
With Media
14.1%
With Links
66.9%
With #Tags
6.1%
With @Mentions
0.0%
With Emojis
133
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.42
Reply/Original Ratio
0
Quote/RT Ratio
Posting Rhythm
Consistent
Regular posting cadence
75.8%
Weekday Posts
24.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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.
Posting Patterns & Optimal Timing
Based on 3,249 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 consists of road users, drivers, and commuters in Indonesia. They are likely interested in real-time traffic conditions and road safety information.
Average
Audience Quality
34.4%
Suspicion Index
47.5%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
47.9%
Empty Bio
58.3%
<10 Tweets
1.7%
Mass Following (>2K)
0.0%
New (<90 days)
71.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.4%
No URL
47.0%
<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.
5,933,622
Total Potential Reach
1
Median Follower Reach
22
75th Percentile Reach
1.2%
>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).
26.9%
Creators
13,453 accounts
14.8%
Consumers
7,398 accounts
58.3%
Dormant
29,149 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):
48
Verified Followers
0.05% of total
16,444
Protected Accounts
16.44% of total
5 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 |
|---|---|---|---|
| @Prambors | 2,246,782 | Radio Station | Music, Youth, Entertainment |
| @NTMCLantasPolri | 1,037,952 | Law Enforcement | Traffic, Police, Safety |
| @hrdbacot | 842,271 | HRD | HR, Recruitment, Business |
| @KejaksaanRI | 289,762 | Legal | Hukum, Penerangan, Kejaksaan |
| @jansen_jsp | 278,433 | Lawyer | Politics, Law, Loyalty |
| @BundaYati19 | 236,667 | - | - |
| @bensradio1062fm | 230,804 | Radio | Radio, Betawi, Music |
| @pertam4xl1t3 | 224,023 | - | - |
| @ratusweethella | 218,913 | Singer | Music, Fashion, Beauty |
| @saykoji | 206,642 | Rapper | Rap, Geek, Indonesia |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
55,996
Followers With Bio
44,004
Followers Without Bio
56.0%
% With Bio
44.0%
% 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 3,249 analyzed183
Combined Engagement
161
Total Likes
22
Total Retweets
37
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
40%
With Links
Topical Analysis:
@asmirzakovic Mohon maaf atas ketidaknyamanannya akibat kejadian tersebut, kami kordinasikan keluhan Bapak / Ibu ke ruas tol terkait.
Jadwal Pelaksanaan Rekayasa lalu lintas berdasarkan Surat Keputusan Bersama Dirjen Perhubungan Darat, Kakorlantas Polri, dan Dirjen Bina Marga pada tanggal 5 April 2023 tentang pengaturan lalu lintas selama masa arus mudik dan arus balik Angkutan Lebaran Tahun 2023/1444 H https:/
Jadwal Pelaksanaan Rekayasa lalu lintas berdasarkan Surat Keputusan Bersama Dirjen Perhubungan Darat, Kakorlantas Polri, dan Dirjen Bina Marga pada tanggal 5 April 2023 tentang pengaturan lalu lintas selama masa arus mudik dan arus balik Angkutan Lebaran Tahun 2023/1444 H https:/
13.39 WIB #Tol_Jagorawi Cawang - TMII - Cibubur - Bogor - Ciawi LANCAR. ; Bogor KM 43 arah Jakarta PADAT, ada kecelakaan, petugas menuju ke lokasi.
Mulai Tanggal 17 April 2023 Pukul 16.00 s.d 21 April 2023 Pukul 24.00 WIB untuk Kendaraan Truk Gol 3-5 DILARANG melintas, kecuali bermuatan Sembako/BBM/BBG.
Key Insights & Takeaways
The account focuses on providing real-time traffic updates and road maintenance schedules. It uses official sources and government collaboration to ensure credibility. The content is primarily informational and not interactive in nature.
Strengths
- + Established follower base of 359,715
- + 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 @PTJASAMARGA reveals an growing Twitter presence with 359,715 followers. The account demonstrates a content-creator strategy, averaging 0.3 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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