PSSI
#KitaGaruda @TimnasIndonesia
1,773,862
Followers
159
Following
24,609
Tweets
559.4
Avg Engagement
549
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @PSSI'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:2014-02-26
- Verification:No
- Location:Jakarta
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:508.6
- Avg Retweets per Tweet:50.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account has high average engagement with over 12,000 likes and 2,000 retweets per tweet. The content is well-received and often shared by followers, indicating strong community interaction.
508.6
Avg Likes/Tweet
50.8
Avg Retweets/Tweet
1,652,965
Total Likes
165,093
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
167
Median Likes
11
Median Retweets
617
75th Percentile
23,934
Top Tweet
0.32
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
77.3%
Original
22.2%
Replies
0.3%
Retweets
0.1%
Quotes
0.0%
Threads
0.0%
With Media
48.8%
With Links
97.0%
With #Tags
0.6%
With @Mentions
37.2%
With Emojis
120
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.29
Reply/Original Ratio
0.4
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.0%
Weekday Posts
30.0%
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 10 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 50,000 followersThe primary audience consists of Indonesian football fans and supporters of the national team. The content is tailored to inspire and motivate followers to continue supporting the team.
Poor
Audience Quality
51.6%
Suspicion Index
87.6%
Low-Quality %
0
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
88.4%
Empty Bio
92.7%
<10 Tweets
0.2%
Mass Following (>2K)
0.0%
New (<90 days)
92.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
98.8%
No URL
86.8%
<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.
1,102,760
Total Potential Reach
0
Median Follower Reach
0
75th Percentile Reach
0.2%
>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).
2.7%
Creators
1,350 accounts
4.6%
Consumers
2,318 accounts
92.7%
Dormant
46,332 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):
14
Verified Followers
0.01% of total
13,678
Protected Accounts
13.54% 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 |
|---|---|---|---|
| @Beritasatu | 1,045,582 | Media | Media, Holdings, TV |
| @gen1031fmsby | 447,146 | Radio Host | Music, Radio, Surabaya |
| @NYXS_io | 158,946 | Sports Marketing | Sports, Athletes, Fans |
| @generasibiru_22 | 61,030 | Influencer | Bahagia, Generasi Biru, S |
| @knpiharis | 56,166 | - | - |
| @AliNgabalinNew | 45,350 | - | - |
| @Syarman59 | 35,548 | - | - |
| @twitNsave | 35,147 | - | - |
| @wahhabicc_jabar | 34,490 | - | - |
| @klik_faktaCom | 34,192 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
12,062
Followers With Bio
88,937
Followers Without Bio
11.94%
% With Bio
88.06%
% 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 analyzed85,822
Combined Engagement
74,002
Total Likes
11,820
Total Retweets
17,164
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Mimpi itu tetap harus dikejar dan kesempatan besar pasti akan terus datang.✨ Terima kasih untuk selalu konsisten berjuang membela Merah Putih di kancah internasional, adik-adik. Pertahankan semangat juangmu dan terus fokus dalam mengejar cita-citamu. #KitaGaruda https://t.co/AG
We are Indonesia! ❤️🇮🇩 #KitaGaruda #MeraihImpian #TimnasDay https://t.co/81lwJN9YyM
Alhamdulillah. Puji Tuhan. Astungkara. Indonesia berhasil meraih gelar juara AFF U16 Boys Championship 2022.🏆 Terima kasih atas kerja kerasmu, Garuda Asia! ❤️🇮🇩 #KitaGaruda #MeraihImpian #TimnasDay https://t.co/4LKxALKaRd
Keep head up, Garuda Nusantara! 👊 #KitaGaruda #MeraihImpian https://t.co/mO14UVakQN
Tim U17 Indonesia berhasil unggul atas Guam dengan skor akhir 0-14. Terus berkembang, Garuda Asia! #KitaGaruda https://t.co/AezgrdX4Pl
Key Insights & Takeaways
The account uses motivational and patriotic language to connect with its audience. It leverages hashtags to increase visibility and foster a sense of community. The content is focused on encouraging continued support for the national team.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,773,862
- + 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 @PSSI reveals an well-established Twitter presence with 1,773,862 followers. The account demonstrates a content-creator strategy, averaging 559.4 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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