I am...
sarz@metallicinc.com
682,762
Followers
1,692
Following
25,596
Tweets
773.5
Avg Engagement
256
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @beatsbysarz'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:2010-04-10
- Verification:No
- Location:England, United Kingdom
Data Summary
- Tweets Analyzed:3,126
- Avg Likes per Tweet:438.5
- Avg Retweets per Tweet:335.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,126 tweetsSarz's tweets consistently receive high likes and retweets, indicating strong audience interaction. Their content is both personal and impactful, driving significant engagement.
438.5
Avg Likes/Tweet
335.0
Avg Retweets/Tweet
1,370,668
Total Likes
1,047,262
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
23
Median Likes
12
Median Retweets
309
75th Percentile
96,701
Top Tweet
1.13
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
32.3%
Original
7.4%
Replies
35.4%
Retweets
24.9%
Quotes
0.0%
Threads
0.0%
With Media
59.0%
With Links
16.6%
With #Tags
46.5%
With @Mentions
43.1%
With Emojis
76
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.23
Reply/Original Ratio
0.7
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
79.9%
Weekday Posts
20.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,126 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 1,108 retweets (35% 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 3,126 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 primarily Nigerian and international fans of music and social justice issues. They engage with content that resonates emotionally and socially.
Average
Audience Quality
25.1%
Suspicion Index
21.8%
Low-Quality %
23
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
26.7%
Empty Bio
32.2%
<10 Tweets
7.8%
Mass Following (>2K)
0.0%
New (<90 days)
62.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.5%
No URL
16.8%
<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.
26,493,578
Total Potential Reach
23
Median Follower Reach
93
75th Percentile Reach
2.9%
>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).
33.4%
Creators
16,687 accounts
34.4%
Consumers
17,202 accounts
32.2%
Dormant
16,111 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):
143
Verified Followers
0.14% of total
4,707
Protected Accounts
4.66% of total
3 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 |
|---|---|---|---|
| @JohnCena | 14,105,070 | Wrestler | Wrestling, Motivation, Self-promotion |
| @BNXN | 1,314,104 | Musician | Art, Music, Creativity |
| @Simonna | 503,361 | Actress | Film & TV, Singer, Veggie lover |
| @1andonlyOlivia | 462,992 | Actress | God, gifts, inquiries |
| @thisisWurlD | 374,907 | Musician | Music, Love, Creativity |
| @NOTJUSTOK | 353,227 | Entertainment | African artists, entertainment, culture |
| @Betodds1 | 349,106 | - | - |
| @itsGummyBeatz | 339,399 | - | - |
| @JulianMarley | 272,450 | Musician | Reggae, Music, Family |
| @GeminiMajor | 266,915 | Music Producer | Music, Rudebouy, Booking |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
76,261
Followers With Bio
24,738
Followers Without Bio
75.51%
% With Bio
24.49%
% 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 3,126 analyzed299,249
Combined Engagement
70,582
Total Likes
228,667
Total Retweets
59,850
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
40%
With Links
Topical Analysis:
RT @falzthebahdguy: Mr President, please treat as urgent @MBuhari 👇🏾 https://t.co/mqkbPQ27um
Nigerian women appreciation tweet 👑
RT @TeeFreshh_: So if Twitter is becoming Instagram and Instagram becoming Amazon...Who am I becoming.. https://t.co/vOlvWGbEui
RT @MarkiMark_: Don’t let Kobe’s death be a downfall to 2020. Just apply the mamba mentality with everything you do. Honor Kobe with the sa…
This period no easy for me 🤣... Make una check on me abeg 🙏🏾 #EndPoliceBrutalityinNigeria
Key Insights & Takeaways
Sarz frequently highlights appreciation for fellow Nigerian artists and collaborators, showing a strong sense of community and mutual respect. They often share personal experiences, which fosters a deeper connection with their audience. Their tweets also address social issues like police brutality, indicating a commitment to raising awareness and sparking conversations.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 682,762
- + 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 @beatsbysarz reveals an well-established Twitter presence with 682,762 followers. The account demonstrates a content-creator strategy, averaging 773.5 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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