MRT Jakarta
Akun Informasi Resmi MRT Jakarta / Call Center 1500 332
90,064
Followers
57
Following
29,651
Tweets
15.0
Avg Engagement
190
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @mrtjakarta'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:2009-10-01
- Verification:No
- Location:Jakarta Pusat, DKI Jakarta
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:5.7
- Avg Retweets per Tweet:9.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,250 tweetsThe account maintains a steady engagement rate with its followers, indicating a loyal and active audience. The content is well-received, with a mix of informative and interactive tweets driving likes and retweets.
5.7
Avg Likes/Tweet
9.4
Avg Retweets/Tweet
18,368
Total Likes
30,454
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
0
75th Percentile
26,091
Top Tweet
0.17
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
9.4%
Original
90.5%
Replies
0.1%
Retweets
0.0%
Quotes
0.0%
Threads
0.0%
With Media
15.5%
With Links
7.7%
With #Tags
87.0%
With @Mentions
0.7%
With Emojis
178
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
9.68
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
75.7%
Weekday Posts
24.3%
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 account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 4 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 3,250 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 10,000 followersThe primary audience consists of residents and commuters in Jakarta and surrounding areas who rely on MRT services. The account also targets potential investors and stakeholders interested in the expansion of the MRT network.
Average
Audience Quality
33.4%
Suspicion Index
48.0%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
56.4%
Empty Bio
50.4%
<10 Tweets
2.2%
Mass Following (>2K)
0.0%
New (<90 days)
70.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.2%
No URL
39.6%
<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.
2,258,372
Total Potential Reach
2
Median Follower Reach
36
75th Percentile Reach
1.5%
>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).
33.1%
Creators
3,309 accounts
16.5%
Consumers
1,650 accounts
50.4%
Dormant
5,041 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):
12
Verified Followers
0.12% of total
1,544
Protected Accounts
15.44% of total
4 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 |
|---|---|---|---|
| @hrdbacot | 848,232 | HRD | HR, Recruitment, Business |
| @Stevaniehuangg | 155,518 | - | - |
| @tang__kira | 109,384 | Content Creator | variety, drama, issue |
| @RyanSpongeID | 93,619 | Influencer | Limited Edition, Try |
| @Rullyez1 | 34,467 | - | - |
| @KevinS_u | 26,449 | - | - |
| @ezkisuyanto | 24,195 | - | - |
| @bardiz12 | 21,636 | - | - |
| @Gank_Of_Petojo | 21,261 | - | - |
| @Linimata | 16,638 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,360
Followers With Bio
5,640
Followers Without Bio
43.6%
% With Bio
56.4%
% 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 analyzed37,528
Combined Engagement
9,068
Total Likes
28,460
Total Retweets
7,506
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
RT @infoBMKG: #Gempa Mag:5.6, 21-Nov-22 13:21:10 WIB, Lok:6.84 LS,107.05 BT (10 km BaratDaya KAB-CIANJUR-JABAR), Kedlmn:10 Km, tdk berpotensi tsunami #BMKG https://t.co/wLQpFRFuZH
Jalur Fase 3 MRT Jakarta Fase 3 koridor East—West MRT Jakarta direncanakan akan membentang sepanjang sekitar 84,1 kilometer dari Cikarang, Jawa Barat hingga Balaraja, Banten, melewati wilayah DKI Jakarta sepanjang sekitar 33,7 kilometer. (1/3) #UbahJakarta https://t.co/2ka2gVNb
Terima kasih Teman MRT semua🥳🥳🥳 https://t.co/kwqd222iYt
Perubahan jam operasional MRT Jakarta mulai 15 November 2022 #UbahJakarta https://t.co/i0fKwYK6YO
Teman MRT, kamu tahu gak kenapa kereta MRT ketika berhenti bisa pas banget antara pintu kereta dan pintu tepi peron stasiun? https://t.co/4y1g7ztwGG
Key Insights & Takeaways
The account frequently shares updates on MRT Jakarta's infrastructure projects, such as the Fase 3 expansion. It uses emojis and celebratory language to create a friendly and engaging tone. It includes links to additional information, suggesting a focus on transparency and detailed communication.
Strengths
- + Established follower base of 90,064
- + High community engagement through conversations
- + 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 @mrtjakarta reveals an growing Twitter presence with 90,064 followers. The account demonstrates a conversation-first approach, averaging 15.0 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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