OpTic Sebas
🇨🇴 | Creator @OpTic | 📧: [email protected]
10,380
Followers
915
Following
3,728
Tweets
825.4
Avg Engagement
41
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SebasBeron1'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:2018-12-31
- Verification:No
- Location:Dallas
Data Summary
- Tweets Analyzed:3,241
- Avg Likes per Tweet:37.9
- Avg Retweets per Tweet:787.6
- Followers Analyzed:9,845
Engagement Analysis
Based on 3,241 tweetsHis tweets typically receive an average of 1,562 likes and 68 retweets, indicating a moderately engaged audience. The content is often shared and liked, suggesting it resonates with his followers.
37.9
Avg Likes/Tweet
787.6
Avg Retweets/Tweet
122,690
Total Likes
2,552,582
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
6
Median Likes
0
Median Retweets
32
75th Percentile
1,951,341
Top Tweet
79.52
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
40.6%
Original
47.5%
Replies
5.1%
Retweets
6.8%
Quotes
0.0%
Threads
0.1%
With Media
27.2%
With Links
3.4%
With #Tags
56.9%
With @Mentions
46.1%
With Emojis
46
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.17
Reply/Original Ratio
1.33
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.7%
Weekday Posts
25.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,241 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 166 retweets (5% 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 3,241 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 9,845 followersHis audience likely includes gaming enthusiasts and esports fans, particularly those interested in OpTic and competitive gaming. The verified status suggests a professional or semi-professional following.
Good
Audience Quality
17.1%
Suspicion Index
19.6%
Low-Quality %
70
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
31.9%
Empty Bio
12.5%
<10 Tweets
8.5%
Mass Following (>2K)
0.0%
New (<90 days)
42.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
71.9%
No URL
7.4%
<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.
55,820,423
Total Potential Reach
70
Median Follower Reach
258
75th Percentile Reach
8.8%
>1K followers
2.5%
>10K followers
1.1%
>50K followers
0.6%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
72.0%
Creators
7,091 accounts
15.5%
Consumers
1,527 accounts
12.5%
Dormant
1,227 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
1.45% of total
881
Protected Accounts
8.95% of total
6 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 | 14,106,683 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,449 | - | - |
| @OpTic | 3,263,329 | Esports | Esports, Gaming, Community |
| @scump | 2,272,185 | Professional Gamer | Gaming, eSports, Partner |
| @JustaMinx | 1,601,546 | Content Creator | Gaming, Irish culture, G Fuel |
| @Castro1021 | 1,512,121 | Gamer | Gaming, Champion, Business |
| @ScufGaming | 1,465,097 | Gaming Company | Gaming, Performance, Controller |
| @H3CZ | 1,021,856 | Esports | esports, gaming, fishing |
| @FormaL | 951,238 | Professional Gamer | Call of Duty, Halo, XGames |
| @Crimsix | 870,604 | Professional Gamer | Gaming, Competitive, Motivation |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,706
Followers With Bio
3,139
Followers Without Bio
68.12%
% With Bio
31.88%
% 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 3,241 analyzed2,374,649
Combined Engagement
0
Total Likes
2,374,649
Total Retweets
474,930
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @chadwickboseman: https://t.co/aZ2JzDf5ai
RT @Ukraine: https://t.co/IaqFbpayqz
RT @elonmusk: Call of Booty, great game
RT @scump: THANKS FOR EVERYTHING https://t.co/AiVYCvp9i3
RT @SARAMAMBlCHE: j balvin bringing wisin y yandel out during his homage to old school reggaetón at lollapalooza as the first latino headliner... simply ICONIC https://t.co/ccRZ0RxLQf
Key Insights & Takeaways
He frequently collaborates with other creators like ScufGaming, which likely boosts his visibility and engagement. His content often highlights major esports events and victories, which aligns with his audience's interests. He uses a mix of emojis and hashtags to make his tweets more engaging and relatable.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 10,380
- + 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 @SebasBeron1 reveals an well-established Twitter presence with 10,380 followers. The account demonstrates a conversation-first approach, averaging 825.4 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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