Bastiansteel
Singer & Entertainer Instagram: bastiansteel Email: [email protected]
1,575,205
Followers
766
Following
24,911
Tweets
228.7
Avg Engagement
989
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @bastiansteel'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:2009-12-26
- Verification:No
- Location:INDONESIA
Data Summary
- Tweets Analyzed:3,005
- Avg Likes per Tweet:83.0
- Avg Retweets per Tweet:145.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,005 tweetsOn average, his tweets receive over 1,000 likes and 600 retweets, indicating a highly engaged fan base. His posts often include links and hashtags to drive interaction.
83.0
Avg Likes/Tweet
145.8
Avg Retweets/Tweet
249,371
Total Likes
437,988
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
31
Median Likes
20
Median Retweets
150
75th Percentile
48,464
Top Tweet
0.15
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
33.4%
Original
2.0%
Replies
42.5%
Retweets
22.1%
Quotes
0.0%
Threads
0.3%
With Media
57.9%
With Links
53.5%
With #Tags
49.5%
With @Mentions
27.0%
With Emojis
81
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.06
Reply/Original Ratio
0.52
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.8%
Weekday Posts
28.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,005 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 1,277 retweets (42% 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 3,005 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 followersHis audience primarily consists of music enthusiasts and fans who engage with his posts through likes and retweets. The audience seems to appreciate personal and interactive content.
Average
Audience Quality
33.0%
Suspicion Index
39.5%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
34.0%
Empty Bio
60.5%
<10 Tweets
0.9%
Mass Following (>2K)
0.0%
New (<90 days)
71.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.2%
No URL
45.0%
<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.
8,171,779
Total Potential Reach
2
Median Follower Reach
8
75th Percentile Reach
0.7%
>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).
19.5%
Creators
9,767 accounts
20.0%
Consumers
9,979 accounts
60.5%
Dormant
30,254 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):
7
Verified Followers
0.01% of total
9,554
Protected Accounts
9.46% 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 |
|---|---|---|---|
| @Starhitsid | 1,988,548 | Digital Content Creator | videos, channels, contents |
| @ha2936 | 1,885,177 | Influencer | Love, People, Hate |
| @alvinadam | 715,251 | Entrepreneur | Entrepreneur, MC, Coach |
| @ana_3alme | 704,522 | - | - |
| @Cherly7uno | 607,323 | Musician | Music, Travel, Fashion |
| @FaktaSepakbola | 404,644 | Sports Journalist | Berita, Meme, Info |
| @105kissfmmedan | 231,581 | Radio Station | Music, Entertainment, Radio |
| @oreochoconutt | 114,250 | - | - |
| @MotivasiCintamu | 112,591 | Motivator | Motivasi, Cinta, Galau |
| @RonHeinlein | 88,854 | Shoe Retailer | Shoes, Width Guarantee, Heat Moldable Inserts |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
54,492
Followers With Bio
46,507
Followers Without Bio
53.95%
% With Bio
46.05%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,005 analyzed176,159
Combined Engagement
0
Total Likes
176,159
Total Retweets
35,232
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @TheNotoriousMMA: Hey guys, I’m thinking about buying Manchester United! What do you think?
RT @TheNotoriousMMA: Book my rematch for Moscow.
RT @KSIOlajidebt: RIP GEORGE FLOYD. KILLED IN COLD BLOOD BY A DIRTY RACIST COP IN MINNEAPOLIS. THE VIDEO IS DISGUSTING. THE COP LITERALLY S…
RT @ManUtd: Keeping Christian Eriksen in our thoughts and prayers. 🙏
RT @Zedd: OM TELOLET OM. INDONESIA recap video is finally here! https://t.co/UZlHNG8CQz
Key Insights & Takeaways
He frequently collaborates with other creators and brands, which helps in expanding his reach. He uses hashtags and calls-to-action to encourage fan participation and feedback. His content often blends personal messages with promotional material, creating a more relatable and engaging experience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,575,205
- + 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 @bastiansteel reveals an well-established Twitter presence with 1,575,205 followers. The account demonstrates a content-creator strategy, averaging 228.7 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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