ASAKE
my sound is associated with a feeling 📿 For Bookings: [email protected]
641,471
Followers
67
Following
2,700
Tweets
7,522.2
Avg Engagement
122
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @asakemusik'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:2019-03-12
- Verification:No
- Location:Heaven
Data Summary
- Tweets Analyzed:564
- Avg Likes per Tweet:6,397.8
- Avg Retweets per Tweet:1,124.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 564 tweetsHis tweets receive high engagement, with an average of 97k likes and 14k retweets, indicating strong audience interaction. The content is relatable and resonates with his followers.
6,397.8
Avg Likes/Tweet
1,124.4
Avg Retweets/Tweet
3,608,386
Total Likes
634,155
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
58
Median Retweets
817
75th Percentile
167,532
Top Tweet
11.73
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
19.1%
Original
0.2%
Replies
80.0%
Retweets
0.7%
Quotes
0.0%
Threads
0.4%
With Media
40.4%
With Links
17.4%
With #Tags
84.9%
With @Mentions
44.1%
With Emojis
92
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.01
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.6%
Weekday Posts
28.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 564 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 451 retweets (80% 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 564 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 is primarily interested in music and personal development, with a focus on authenticity and success stories. They engage with his content showing interest in his journey and achievements.
Average
Audience Quality
34.1%
Suspicion Index
44.8%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
54.0%
Empty Bio
54.0%
<10 Tweets
3.2%
Mass Following (>2K)
0.0%
New (<90 days)
69.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.6%
No URL
35.7%
<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.
8,261,138
Total Potential Reach
6
Median Follower Reach
30
75th Percentile Reach
1.8%
>1K followers
0.2%
>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).
19.3%
Creators
9,630 accounts
26.7%
Consumers
13,371 accounts
54.0%
Dormant
26,999 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):
135
Verified Followers
0.13% of total
6,033
Protected Accounts
5.97% 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 |
|---|---|---|---|
| @FallonTonight | 4,509,513 | - | - |
| @djjimmyjatt | 1,041,096 | DJ | Music, Legendary, Premium |
| @LeBronJames | 1,006,024 | - | - |
| @IamMzilikazi | 540,109 | Musician | Pan-African music, Album, Rise |
| @alexisskyyyyyy | 498,760 | Influencer | Fashion, Beauty, Lifestyle |
| @Power1051 | 494,261 | Radio Host | Hip Hop, R&B, Radio |
| @500K_______ | 455,658 | - | - |
| @Emmanuel_Tips | 216,016 | Sports Influencer | Sports, Influencer, Promoter |
| @RealXavier011 | 190,827 | Entrepreneur | Music, Black Twitter, Events |
| @Queen_Aeesha | 155,781 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
45,275
Followers With Bio
55,723
Followers Without Bio
44.83%
% With Bio
55.17%
% 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 564 analyzed620,549
Combined Engagement
550,938
Total Likes
69,611
Total Retweets
124,110
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
Went from hustling for free bedspace to investing in real estate 🏡 https://t.co/8bThB7fnVw
African bad girl x Mr money - Loaded ! https://t.co/GgWXaZyMYU
One call from @Olamide and everything changed
https://t.co/NdpY7cnKYt
https://t.co/ZTvCaOVP6y
Key Insights & Takeaways
His transition from hustling for free bedspace to investing in real estate shows a shift in priorities and financial growth. Collaborations with artists like Olamide have played a key role in his career breakthrough. His content often blends personal experiences with professional milestones, creating a narrative of success and authenticity.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 641,471
- + 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 @asakemusik reveals an exceptionally influential Twitter presence with 641,471 followers. The account demonstrates a content-creator strategy, averaging 7,522.2 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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