Fatin Shidqia Lubis
I love kawaii stuffs! 🥺 Sony Music Indonesia. Contact person: (Airin) +62 818-0888-0878
2,923,125
Followers
4,209
Following
10,499
Tweets
365.8
Avg Engagement
85,463
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @FatinSL'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:2012-11-24
- Verification:No
- Location:Jakarta
Data Summary
- Tweets Analyzed:3,163
- Avg Likes per Tweet:81.9
- Avg Retweets per Tweet:283.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,163 tweetsHer tweets receive an average of 1,382 likes and 892 retweets, indicating a highly engaged audience. The engagement is consistent across her posts, suggesting a loyal following.
81.9
Avg Likes/Tweet
283.9
Avg Retweets/Tweet
259,002
Total Likes
897,988
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
17
Median Likes
24
Median Retweets
235
75th Percentile
202,275
Top Tweet
0.13
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
35.9%
Original
47.5%
Replies
15.4%
Retweets
1.2%
Quotes
0.0%
Threads
0.9%
With Media
28.3%
With Links
14.1%
With #Tags
70.6%
With @Mentions
34.9%
With Emojis
68
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.32
Reply/Original Ratio
0.08
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.6%
Weekday Posts
26.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,163 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 488 retweets (15% 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 3,163 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 followersHer audience includes music fans, kawaii enthusiasts, and followers of Sony Music Indonesia. The audience is primarily interested in updates about her personal life and career.
Below Average
Audience Quality
38.5%
Suspicion Index
45.4%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
34.5%
Empty Bio
72.5%
<10 Tweets
1.2%
Mass Following (>2K)
0.0%
New (<90 days)
84.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.7%
No URL
56.3%
<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.
10,827,938
Total Potential Reach
1
Median Follower Reach
5
75th Percentile Reach
0.4%
>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).
10.8%
Creators
5,422 accounts
16.7%
Consumers
8,334 accounts
72.5%
Dormant
36,244 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):
10
Verified Followers
0.01% of total
7,768
Protected Accounts
7.77% 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 |
|---|---|---|---|
| @kegblgnunfaedh | 7,356,395 | Blogger | Comedy, Social Media, Entertainment |
| @ZachBoychuk | 830,407 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @HaiMagazine | 548,052 | Media | Vaksin, Media remaja, Business |
| @IamMzilikazi | 542,661 | Musician | Pan-African music, Album, Rise |
| @engidu1968 | 108,478 | Engineer | Cars, Technology, Innovation |
| @Zety_irwan | 100,732 | Influencer | Love, Kindness, Instagram |
| @arafahrianti02 | 85,625 | Influencer | Fashion, Beauty, Travel |
| @ukhtileli | 56,219 | Married | Marriage, Couple, Relationship |
| @102fmvoksradio | 51,296 | Radio Station | Music, Radio, Bali |
| @ollincharolina | 36,338 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
62,624
Followers With Bio
37,376
Followers Without Bio
62.62%
% With Bio
37.38%
% 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 3,163 analyzed423,165
Combined Engagement
0
Total Likes
423,165
Total Retweets
84,633
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @uwaiis__: I always be overthinking these https://t.co/58ZzOKmdkS
RT @ItsProxcey: Retweet for good luck https://t.co/b3ce8yn7Zi
RT @adittama_: Please, whereever you are, keep in mind that there are other people around you, don’t be selfish and start caring for your s…
RT @raganxo_: unfollowing doesn’t mean we have a problem. simply means i’m not interested in seeing your stuff.. nothing personal.
RT @tittiebae: one real person is enough
Key Insights & Takeaways
She frequently shares updates about her music projects and upcoming releases, which likely drive engagement. Her personal and emotional posts, such as condolences, resonate well with her audience. She maintains a friendly and approachable tone, which helps in building a strong connection with her followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 2,923,125
- + 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 @FatinSL reveals an well-established Twitter presence with 2,923,125 followers. The account demonstrates a conversation-first approach, averaging 365.8 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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