TroyBoi
Music Producer / Artist | Management [email protected] | Bookings - [email protected]
54,958
Followers
946
Following
22,099
Tweets
130.0
Avg Engagement
193
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TroyBoiMusic'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: Mid-Tier (10K+)
- Account Age:2010-08-14
- Verification:No
- Location:LONDON, UK
Data Summary
- Tweets Analyzed:2,994
- Avg Likes per Tweet:107.9
- Avg Retweets per Tweet:22.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 2,994 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction and interest in his content.
107.9
Avg Likes/Tweet
22.0
Avg Retweets/Tweet
323,184
Total Likes
66,010
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
3
Median Retweets
83
75th Percentile
8,797
Top Tweet
2.37
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
30.3%
Original
11.3%
Replies
52.2%
Retweets
6.2%
Quotes
0.0%
Threads
0.1%
With Media
51.4%
With Links
13.2%
With #Tags
70.2%
With @Mentions
54.5%
With Emojis
90
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.37
Reply/Original Ratio
0.12
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.8%
Weekday Posts
30.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,994 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 1,562 retweets (52% 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 2,994 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 10,000 followersHis audience appears to be interested in music production and electronic music, with a focus on collaborations and new releases.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
121
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
69.9%
No URL
100.0%
<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.
30,050,307
Total Potential Reach
121
Median Follower Reach
403
75th Percentile Reach
9.9%
>1K followers
1.2%
>10K followers
0.5%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
1,246
Protected Accounts
12.46% of total
7 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 | 14,090,447 | Wrestler | Wrestling, Motivation, Self-promotion |
| @MonsterEnergy | 2,995,829 | Energy Drink | Energy drinks, extreme sports, lifestyle |
| @AubreyODay | 534,024 | Singer | music, body positivity, remixes |
| @THE_THEO_FORD | 475,537 | - | - |
| @jewelz_blu | 446,803 | Adult Entertainer | Mermaid, Model, Blue |
| @Moreno | 429,333 | Influencer | Business, Manager, Serious |
| @Weinbach | 372,533 | Sports Commentator | Basketball, Sports, Media |
| @garyhgoodridge | 363,399 | Fighter | UFC, Arm Wrestling, Mental Health |
| @Alexistaex | 362,697 | Adult entertainer | Bookings, Instagram, 18+ |
| @hackapreneur | 260,633 | Entrepreneur | DeFi, NFT, Decentralized Communities |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,739
Followers With Bio
2,261
Followers Without Bio
77.39%
% With Bio
22.61%
% 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 2,994 analyzed31,300
Combined Engagement
26,661
Total Likes
4,639
Total Retweets
6,260
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
So, just finished watching a movie and one of the girls working downstairs was wearing one of my t shirts. I had to say wassup...... https://t.co/Xxk8ac6YxS
Next Friday, @Skrillex and I are dropping something special.....⚔️
This track is gonna be a problem......... https://t.co/J3MBQSbHZI
If you look at the people in your circle and don’t get inspired, you don’t have a circle, you have a cage......
🛸 2020 🛸 https://t.co/1aFp2LrhJU
Key Insights & Takeaways
He frequently mentions collaborations with notable artists like Skrillex, suggesting a focus on high-profile partnerships. He shares personal anecdotes, which may help build a more relatable and engaging persona. His tweets often include links to tracks, indicating a strategy to promote his music directly to followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 54,958
- + 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 @TroyBoiMusic reveals an well-established Twitter presence with 54,958 followers. The account demonstrates a content-creator strategy, averaging 130.0 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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