PERSIB
Official Account of Persatuan Sepakbola Indonesia Bandung, PERSIB ⚽️
4,674,539
Followers
113
Following
54,828
Tweets
481.9
Avg Engagement
1,254
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @persib'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:2008-04-13
- Verification:No
- Location:Bandung
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:448.7
- Avg Retweets per Tweet:33.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,248 tweetsPERSIB's tweets receive an average of 10,618 likes and 1,793 retweets, indicating strong engagement from its followers. The content is well-received and shared widely across the community.
448.7
Avg Likes/Tweet
33.2
Avg Retweets/Tweet
1,457,312
Total Likes
107,831
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
262
Median Likes
10
Median Retweets
608
75th Percentile
29,944
Top Tweet
0.1
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
57.1%
Original
41.6%
Replies
0.4%
Retweets
1.0%
Quotes
0.0%
Threads
0.0%
With Media
56.9%
With Links
88.0%
With #Tags
6.7%
With @Mentions
43.1%
With Emojis
104
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.73
Reply/Original Ratio
2.58
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.9%
Weekday Posts
33.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,248 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 12 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 3,248 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 football fans, supporters, and the general public interested in PERSIB's activities. The audience is emotionally connected to the club and its players.
Poor
Audience Quality
52.0%
Suspicion Index
88.2%
Low-Quality %
0
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
89.3%
Empty Bio
93.2%
<10 Tweets
0.2%
Mass Following (>2K)
0.0%
New (<90 days)
93.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
98.8%
No URL
87.0%
<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.
351,204
Total Potential Reach
0
Median Follower Reach
0
75th Percentile Reach
0.1%
>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).
2.1%
Creators
1,036 accounts
4.7%
Consumers
2,358 accounts
93.2%
Dormant
46,606 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):
6
Verified Followers
0.01% of total
12,732
Protected Accounts
12.61% 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 |
|---|---|---|---|
| @FaktaSepakbola | 403,520 | Sports Journalist | Berita, Meme, Info |
| @ruangtaktik | 182,516 | Tactical Analyst | Tactical analysis, Technical study, Business |
| @Soobatreceh | 164,327 | - | - |
| @bjorkanism_real | 52,655 | Hacker | Anonymous, Hacker, Bjork |
| @marcengggg | 34,030 | - | - |
| @Den_damn___ | 32,259 | - | - |
| @flyhighcf | 25,586 | - | - |
| @HukumHarusTegak | 17,021 | - | - |
| @kucaaaad | 14,544 | - | - |
| @SemutMerah2024 | 11,929 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
11,741
Followers With Bio
89,223
Followers Without Bio
11.63%
% With Bio
88.37%
% 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 3,248 analyzed86,659
Combined Engagement
74,504
Total Likes
12,155
Total Retweets
17,332
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
Pertandingan PERSIB vs Persija Ditunda https://t.co/PVbWMGvNYS https://t.co/M2xvxkYuif
Segenap keluarga besar PERSIB menyampaikan turut berduka cita atas kejadian yang terjadi di Stadion Kanjuruhan, Malang 🥀 #PERSIB https://t.co/ngWDnkTl9v
Segenap keluarga besar PERSIB turut berduka atas meninggalnya ananda Eril. Semoga diberikan tempat terbaik di sisiNya 🤲 https://t.co/jv309H9Znw
Indonesia, your Señor is back 😎 Bienvenido @Luismillacoach 🤝 #PERSIB https://t.co/dfDnJ6Qa7y
Sebagai aksi solidaritas terhadap insiden yang terjadi di Stadion Kanjuruhan, Malang, beberapa Bobotoh melakukan aksi lilin di Cikapayang Dago, malam hari tadi #PERSIB https://t.co/0DBhfELYVy
Key Insights & Takeaways
The account frequently shares news about matches and events, which keeps the audience informed and engaged. The tweets often include emotional messages, such as condolences, which foster a sense of community and shared experience. The use of hashtags like #PERSIB helps in increasing visibility and connecting with other supporters.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 4,674,539
- + 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 @persib reveals an well-established Twitter presence with 4,674,539 followers. The account demonstrates a content-creator strategy, averaging 481.9 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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