Sung Drip Woo
Youtuber 800k+ subs. Twitch Partner. Elgato Partner. Discord Partner. https://www.youtube.com/yaboyroshi
62,999
Followers
491
Following
21,815
Tweets
419.4
Avg Engagement
63
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @YaBoyRoshi'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:2011-05-24
- Verification:No
- Location:Tampa, FL
Data Summary
- Tweets Analyzed:3,233
- Avg Likes per Tweet:380.9
- Avg Retweets per Tweet:38.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,233 tweetsHis tweets receive high average likes and retweets, indicating strong audience interaction and interest in his content.
380.9
Avg Likes/Tweet
38.4
Avg Retweets/Tweet
1,231,512
Total Likes
124,295
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
74
Median Likes
1
Median Retweets
459
75th Percentile
38,334
Top Tweet
6.66
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
26.9%
Original
59.6%
Replies
1.9%
Retweets
11.5%
Quotes
0.0%
Threads
0.2%
With Media
28.4%
With Links
0.8%
With #Tags
62.6%
With @Mentions
23.6%
With Emojis
88
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.21
Reply/Original Ratio
5.92
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.3%
Weekday Posts
27.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,233 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 63 retweets (2% 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 3,233 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 likely includes gaming enthusiasts, streamers, and fans of his content style, drawn by his charisma and creativity.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
25
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)
86.6%
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.
7,545,365
Total Potential Reach
25
Median Follower Reach
82
75th Percentile Reach
2.6%
>1K followers
0.5%
>10K followers
0.2%
>50K followers
0.1%
>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
1,306
Protected Accounts
13.06% 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 |
|---|---|---|---|
| @GFuelEnergy | 1,657,397 | Energy Drink | Esports, Energy Drink, Gaming |
| @RoosterTeeth | 904,203 | Entertainment | Video games, comedy, entertainment |
| @SlimJim | 517,099 | Snack Influencer | meat, long boi, champions |
| @AchievementHunt | 443,706 | - | - |
| @FeintHeart721 | 339,217 | Illustrator | illustration, art, design |
| @TandMHD | 246,531 | Music Producer | Music, Production, TV |
| @ReignOfPride | 241,569 | Anime Enthusiast | anime, CEO, NSFW |
| @CrownLead3r | 147,391 | YouTuber | YouTube, BlackLivesMatter, Conquerors |
| @RealJtHolmes | 144,605 | Entrepreneur | Fashion, Music, Arizona |
| @Infernasu | 117,973 | YouTuber | Anime, Gaming, Livestreaming |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,978
Followers With Bio
4,022
Followers Without Bio
59.78%
% With Bio
40.22%
% 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 3,233 analyzed111,351
Combined Engagement
62,476
Total Likes
48,875
Total Retweets
22,270
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
RT @SupremeDreams_1: J Cole? JERMAINE? COLE? MR NICE WATCH? YOUNG SIMBA?
Im DEAD!! 😭😭 https://t.co/hi9Bm2phLy
Mark: “Dad, you love us!” Omni Man : https://t.co/1h9xaZBwJ5
Here it is, the new channel intro in all its glory! Hope you all enjoy, a lot of work went into this! 💪🏽 https://t.co/NAFyhnG0tx
“So if we kill all those bitch niggas over there……. We’ll finally be free?” - Roshi Jaeger https://t.co/27Z4RaBQMV
Key Insights & Takeaways
His top tweets often include emotional or dramatic moments, which resonate well with followers. He frequently shares updates about his channel and content creation process, showing transparency and dedication. Collaborations with other creators like Mark and Omni Man suggest a focus on building a broader entertainment network.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 62,999
- + High community engagement through conversations
- + 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 @YaBoyRoshi reveals an well-established Twitter presence with 62,999 followers. The account demonstrates a conversation-first approach, averaging 419.4 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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