Shani Indira
🫧• business: 0821-1434-5576 (Gigi - ICE) https://www.youtube.com/watch?app=desktop&v=2wvqBM…
837,150
Followers
233
Following
16,136
Tweets
3,816.2
Avg Engagement
3,392
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @N_ShaniJKT48'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:2014-03-20
- Verification:No
- Location:Jakarta, Indonesia
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:3,526.4
- Avg Retweets per Tweet:289.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,249 tweetsThe account maintains a high level of engagement, indicating a strong and active follower base interested in the content.
3,526.4
Avg Likes/Tweet
289.9
Avg Retweets/Tweet
11,457,176
Total Likes
941,774
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2,380
Median Likes
157
Median Retweets
5,600
75th Percentile
55,568
Top Tweet
4.56
Engagement per 1K Followers
Normalized influence metric
Consistent
Engagement Pattern
Steady engagement across posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
61.1%
Original
18.3%
Replies
14.7%
Retweets
5.9%
Quotes
0.0%
Threads
0.6%
With Media
25.0%
With Links
15.7%
With #Tags
35.5%
With @Mentions
21.2%
With Emojis
64
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.3
Reply/Original Ratio
0.4
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67.6%
Weekday Posts
32.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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 478 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 3,249 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 appears to be a mix of fans and potential business contacts, given the professional bio and engagement metrics.
Below Average
Audience Quality
39.0%
Suspicion Index
55.2%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
63.6%
Empty Bio
60.9%
<10 Tweets
1.2%
Mass Following (>2K)
0.0%
New (<90 days)
82.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.4%
No URL
46.8%
<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.
2,900,540
Total Potential Reach
1
Median Follower Reach
4
75th Percentile Reach
0.6%
>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).
19.6%
Creators
9,775 accounts
19.6%
Consumers
9,780 accounts
60.9%
Dormant
30,445 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):
34
Verified Followers
0.03% of total
16,592
Protected Accounts
16.43% of total
2 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 |
|---|---|---|---|
| @AliceProject_mb | 341,602 | Idol | Music, Idol, Performance |
| @ndreamon | 119,199 | Storyteller | Storytelling, Superheroes, Events |
| @SeputarMadrid | 95,872 | - | - |
| @tang__kira | 91,361 | Content Creator | variety, drama, issue |
| @CBangeett | 86,481 | Influencer | Beauty, Women, Fashion |
| @dinahermawati53 | 79,437 | Adult entertainer | VCS, Konten Vidio, Tidak terima |
| @orangecatsss | 74,309 | Social Media Influencer | Cats, RT, Paid |
| @iam__liamneeson | 70,617 | - | - |
| @And_Hongg | 43,179 | - | - |
| @sitiadara69 | 41,446 | Influencer | Fashion, Beauty, Travel |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
41,536
Followers With Bio
59,461
Followers Without Bio
41.13%
% With Bio
58.87%
% 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 3,249 analyzed181,802
Combined Engagement
130,766
Total Likes
51,036
Total Retweets
36,360
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
https://t.co/2ctVsV2Xwa
RT @BadmintonTalk: ANOTHER HISTORY FOR INDONESIA!! Greysia Polii/Apriyani Rahayu has become the FIRST EVER Indonesian Women's Doubles pai…
Cara adikku minta sumbangan https://t.co/ZBst71qprt
💇🏻♀️ https://t.co/CpichDTVKr
https://t.co/WmAatrE3xx
Key Insights & Takeaways
The user likely focuses on personal and business interactions, as seen in the bio and top tweets. The content may include personal appeals and requests, as indicated by the top tweets. There is a potential for business networking and community engagement through the verified contact information.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 837,150
- + 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 @N_ShaniJKT48 reveals an exceptionally influential Twitter presence with 837,150 followers. The account demonstrates a content-creator strategy, averaging 3,816.2 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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