OpTic Scump
28. 2x XGames Gold Medalist, CoD World Champion. WSOW CHAMP. @Oakley Partner. Co-Owner @drinkctrl - use code Scump for 10% off! Biz - [email protected]
2,268,722
Followers
2,100
Following
56,512
Tweets
3,529.8
Avg Engagement
1,949
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @scump'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: Mega Influencer (1M+)
- Account Age:2011-03-26
- Verification:No
- Location:Frisco, TX
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:3,373.7
- Avg Retweets per Tweet:156.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,249 tweetsScump's tweets receive high engagement, with an average of 90,000 likes and 10,000 retweets per post. His content is well-received, indicating a strong and active community.
3,373.7
Avg Likes/Tweet
156.1
Avg Retweets/Tweet
10,961,167
Total Likes
507,252
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1,029
Median Likes
16
Median Retweets
4,407
75th Percentile
290,447
Top Tweet
1.56
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
43.2%
Original
52.2%
Replies
3.1%
Retweets
1.5%
Quotes
0.0%
Threads
0.0%
With Media
34.0%
With Links
9.7%
With #Tags
66.0%
With @Mentions
11.7%
With Emojis
58
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.21
Reply/Original Ratio
0.49
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67.3%
Weekday Posts
32.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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 101 retweets (3% 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 3,249 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 sports, gaming, and lifestyle content. They are likely young, male, and engaged with both entertainment and business-related topics.
Average
Audience Quality
27.1%
Suspicion Index
40.1%
Low-Quality %
11
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
50.4%
Empty Bio
41.1%
<10 Tweets
2.3%
Mass Following (>2K)
0.0%
New (<90 days)
53.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.8%
No URL
29.9%
<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.
18,695,629
Total Potential Reach
11
Median Follower Reach
72
75th Percentile Reach
2.5%
>1K followers
0.3%
>10K followers
0.1%
>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).
37.8%
Creators
18,889 accounts
21.2%
Consumers
10,584 accounts
41.1%
Dormant
20,527 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):
1,271
Verified Followers
1.26% of total
8,668
Protected Accounts
8.58% 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 |
|---|---|---|---|
| @PatMcAfeeShow | 2,834,865 | Sports commentator | Sports, Betting, Entertainment |
| @xQc | 1,551,954 | Streamer | Gaming, Streaming, Luminosity |
| @Rangers | 1,443,383 | Sports Team | Baseball, Texas, Optimism |
| @UglyGod | 999,764 | Rapper | Music, Fashion, Entertainment |
| @imawful69_ | 627,824 | Adult entertainer | cats, modeling, Gabbie |
| @andymilonakis | 591,027 | Entertainer | comedy, rap, food |
| @bstategames | 552,112 | Game Developer | FPS, RPG, Hardcore |
| @G2LeTsHe | 493,706 | - | - |
| @NateHillTV | 479,718 | Gamer | Fortnite, FaZe Clan, Gaming |
| @alexandrabotez | 459,958 | Chess Streamer | Chess, Variety, Streaming |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
52,532
Followers With Bio
48,467
Followers Without Bio
52.01%
% With Bio
47.99%
% 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.
Buy Follower Data
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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 3,249 analyzed709,706
Combined Engagement
625,509
Total Likes
84,197
Total Retweets
141,941
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
THANKS FOR EVERYTHING https://t.co/AiVYCvp9i3
This is goodbye.. https://t.co/MgMCoXZKda
She said YES!! https://t.co/P2SHfgqmiD
Why I'm retiring https://t.co/8E6OGhVydu
I am OpTic Scumpii https://t.co/xHktVzkPUy
Key Insights & Takeaways
Scump's content often includes personal milestones and emotional moments, which resonate with his audience. He frequently promotes his brand and business ventures, indicating a focus on monetization and visibility. His verified status is relatively low, suggesting a mix of personal and professional content in his feed.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 2,268,722
- + 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 @scump reveals an exceptionally influential Twitter presence with 2,268,722 followers. The account demonstrates a conversation-first approach, averaging 3,529.8 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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