T-wayne
Nasty Freestyle Part 2 Presave
80,499
Followers
64,689
Following
94,149
Tweets
311.3
Avg Engagement
292
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TWAYNEBSM'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:2009-04-11
- Verification:No
- Location:Houston, TX
Data Summary
- Tweets Analyzed:2,984
- Avg Likes per Tweet:64.4
- Avg Retweets per Tweet:246.9
- Followers Analyzed:10,000
Engagement Analysis
Based on 2,984 tweetsTWAYNEBSM's tweets receive an average of 6,399 likes and 4,713 retweets, indicating a highly engaged audience. Their content is well-received and shared frequently.
64.4
Avg Likes/Tweet
246.9
Avg Retweets/Tweet
192,066
Total Likes
736,795
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
2
Median Retweets
37
75th Percentile
210,486
Top Tweet
3.87
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
54.7%
Original
8.8%
Replies
35.5%
Retweets
1.0%
Quotes
0.0%
Threads
0.1%
With Media
40.3%
With Links
9.1%
With #Tags
49.5%
With @Mentions
24.1%
With Emojis
62
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.16
Reply/Original Ratio
0.03
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.3%
Weekday Posts
26.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,984 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 1,060 retweets (36% 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 2,984 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 followersThe audience likely includes fans of K-pop and music enthusiasts, especially those interested in collaborations and dance performances. They are engaged and active in following and interacting with content.
Good
Audience Quality
16.4%
Suspicion Index
16.8%
Low-Quality %
200
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
23.7%
Empty Bio
15.4%
<10 Tweets
21.5%
Mass Following (>2K)
0.0%
New (<90 days)
22.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
73.2%
No URL
9.9%
<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.
22,077,797
Total Potential Reach
200
Median Follower Reach
591
75th Percentile Reach
14.9%
>1K followers
1.9%
>10K followers
0.6%
>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).
70.0%
Creators
6,995 accounts
14.6%
Consumers
1,460 accounts
15.4%
Dormant
1,545 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):
75
Verified Followers
0.75% of total
1,069
Protected Accounts
10.69% of total
8 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 |
|---|---|---|---|
| @diplo | 2,425,834 | Musician | Music, DJing, Collaboration |
| @iHeartRadio | 2,018,056 | Media | Music, Stations, Podcasts |
| @JDaIey | 1,246,240 | - | - |
| @HipHopDX | 786,146 | Media | Music, News, Reviews |
| @Iraqesque | 578,555 | Cultural commentator | Culture, History, Traditions |
| @ItsCoreyScherer | 562,881 | Influencer | God, Yeroc, Instagram |
| @DonToliver | 480,088 | Musician | Music, Fashion, Cactus Jack |
| @jstorres | 399,237 | Banker | Author, Soccer, Blockchain |
| @myunclesmemes | 367,640 | Meme curator | memes, daily, follow |
| @RoyIsThaTruth | 341,502 | Recording Artist | Music, Design, Visionaries |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,627
Followers With Bio
2,373
Followers Without Bio
76.27%
% With Bio
23.73%
% 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 2,984 analyzed458,698
Combined Engagement
27,428
Total Likes
431,270
Total Retweets
91,740
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @FloydMayweather: 50 - 0
RT @treasuremembers: 트레저 메이커 !! 화요일 잘 보내고있어요 ! 파이팅 하고 있을 트메에게 작은 선물 보내용 ㅎ 저랑 시호랑 정환이랑 우리 트메 위해서 재롱 한번 부려봤어요 ㅎㅎ💜🔥💜🔥 남은 하루 파이팅 하구 내일도 힘내요 다들 사랑해 !!!!! #최현석 #CHOIHYUNSUK #마시호 #MASHIHO #소정환 #SOJUNGHWAN https://t.co/yqScZw9pqF
RT @lauxo__: y’all be 21+ thinking being toxic is still cute. go to therapy
RT @elonmusk: Am thinking of starting new university: Texas Institute of Technology & Science
Her reverse is crazy !!! https://t.co/40zZx01lfe
Key Insights & Takeaways
The user frequently interacts with Treasure members, suggesting a strong fanbase and collaboration interest. Their content often includes dance-related posts, indicating a focus on performance and choreography. They use links in tweets, possibly for promotions or presaves of new music releases.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 80,499
- + 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 @TWAYNEBSM reveals an well-established Twitter presence with 80,499 followers. The account demonstrates a content-creator strategy, averaging 311.3 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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