Justinus Lhaksana
Rakyat jelata yg bicara bola
223,546
Followers
1,493
Following
218,900
Tweets
613.8
Avg Engagement
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @CoachJustinL'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:2011-08-16
- Verification:No
- Location:Jakarta Capital Region
Data Summary
- Tweets Analyzed:3,217
- Avg Likes per Tweet:89.1
- Avg Retweets per Tweet:524.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,217 tweetsCoachJustinL's tweets are highly interactive, with a consistent average of likes and retweets. His use of humor and relatable topics keeps the audience engaged and encourages participation.
89.1
Avg Likes/Tweet
524.7
Avg Retweets/Tweet
286,780
Total Likes
1,687,865
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
3
Median Retweets
136
75th Percentile
163,275
Top Tweet
2.75
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
22.6%
Original
4.7%
Replies
55.6%
Retweets
17.0%
Quotes
0.0%
Threads
0.1%
With Media
47.3%
With Links
10.8%
With #Tags
71.7%
With @Mentions
21.0%
With Emojis
91
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.21
Reply/Original Ratio
0.31
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
63.7%
Weekday Posts
36.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,217 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 1,789 retweets (56% 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 3,217 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 primarily consists of Indonesian football fans who enjoy light-hearted and humorous takes on the sport. They are likely active on social media and appreciate informal, meme-driven content.
Average
Audience Quality
26.5%
Suspicion Index
39.0%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
50.4%
Empty Bio
37.3%
<10 Tweets
0.7%
Mass Following (>2K)
0.0%
New (<90 days)
57.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.0%
No URL
27.6%
<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.
8,759,163
Total Potential Reach
4
Median Follower Reach
52
75th Percentile Reach
1.3%
>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).
43.6%
Creators
21,796 accounts
19.2%
Consumers
9,578 accounts
37.3%
Dormant
18,626 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):
43
Verified Followers
0.04% of total
19,850
Protected Accounts
19.65% 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 |
|---|---|---|---|
| @BongChandra | 1,022,080 | Real Estate Developer | Real Estate, Entrepreneurship, Development |
| @TrainingMindful | 601,117 | Meditation Teacher | meditation, mindfulness, inner peace |
| @zarryhendrik | 500,995 | - | - |
| @tirta_cipeng | 497,617 | Doctor | shoes, fashion, travel |
| @TsamaraDKI | 391,094 | Politician | Politics, Student, Leadership |
| @Indostransfer | 233,639 | - | - |
| @coffebit | 225,798 | Crypto Trader | Coffee, Bitcoin, Sementara |
| @PremLeaguePanel | 216,087 | Football Analysts | Football, Premier League, Analysis |
| @ggs_clips | 208,361 | Content Creator | Gaming, Clips, Support |
| @Eno_Bening | 173,117 | Social Media Strategist | Wibu, Livestreaming, Social Media |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
52,817
Followers With Bio
48,179
Followers Without Bio
52.3%
% With Bio
47.7%
% 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 3,217 analyzed361,608
Combined Engagement
0
Total Likes
361,608
Total Retweets
72,322
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @TansuYegen: Powerful message👏 https://t.co/prEuLEvsFj
RT @buitengebieden: Smart little bird.. 👌 https://t.co/XFQF3cEHwb
RT @News247Ug: Footballer Achraf Hakimi's wife filed for divorce and demanded half of his property. She was however informed by court that…
RT @MoSalah: 🌲 #MerryChristmas https://t.co/nTFjuQyvRD
RT @nocontextfooty: https://t.co/vgvENB0yLt
Key Insights & Takeaways
He uses humor and memes to connect with his audience His content often includes football-related jokes and critiques He leverages social media platforms like IG and Tokopedia to expand his reach
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 223,546
- + 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 @CoachJustinL reveals an well-established Twitter presence with 223,546 followers. The account demonstrates a content-creator strategy, averaging 613.8 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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