Sceptic 🦙
Content Creator & Player w/ 2.5m 🃏 | Gaming / Web3 | @CopeGG | [email protected]
95,805
Followers
1,725
Following
8,365
Tweets
185.5
Avg Engagement
72
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Sceptic'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:2017-01-03
- Verification:No
- Location:Orlando, FL
Data Summary
- Tweets Analyzed:3,197
- Avg Likes per Tweet:148.1
- Avg Retweets per Tweet:37.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,197 tweetsSceptic's tweets typically receive high engagement, with an average of 7,680 likes and 1,080 retweets per post. Their content is well-received and often shared within their community.
148.1
Avg Likes/Tweet
37.4
Avg Retweets/Tweet
473,425
Total Likes
119,665
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
19
Median Likes
0
Median Retweets
75
75th Percentile
60,528
Top Tweet
1.94
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
17.6%
Original
78.2%
Replies
3.3%
Retweets
0.9%
Quotes
0.0%
Threads
0.2%
With Media
14.4%
With Links
3.0%
With #Tags
86.2%
With @Mentions
24.6%
With Emojis
48
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
4.44
Reply/Original Ratio
0.27
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.5%
Weekday Posts
26.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,197 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 105 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 3,197 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 followersSceptic's audience is primarily interested in gaming, Web3, and content creation. They engage with a mix of casual and dedicated followers who appreciate both entertainment and informative content.
Good
Audience Quality
19.1%
Suspicion Index
16.2%
Low-Quality %
74
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
24.6%
Empty Bio
13.7%
<10 Tweets
17.7%
Mass Following (>2K)
0.0%
New (<90 days)
43.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
77.2%
No URL
7.9%
<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.
55,700,094
Total Potential Reach
74
Median Follower Reach
429
75th Percentile Reach
16.1%
>1K followers
3.8%
>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).
68.9%
Creators
6,892 accounts
17.4%
Consumers
1,737 accounts
13.7%
Dormant
1,371 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):
490
Verified Followers
4.9% of total
342
Protected Accounts
3.42% 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 |
|---|---|---|---|
| @JohnCena | 14,092,995 | Wrestler | Wrestling, Motivation, Self-promotion |
| @DezBryant | 3,483,839 | Athlete | Athlete, Founder, #ThrowUpTheX |
| @garyvee | 3,156,939 | Entrepreneur | Family, CEO, Investor |
| @allyier | 1,759,621 | - | - |
| @SinghLions | 1,330,773 | Restaurateur | Food, Travel, Influencer |
| @jancarlobg | 1,252,679 | Musician | Music, Spotify, Magic |
| @BrianDEvans | 1,192,791 | Entrepreneur | NFTs, Crypto, Digital Marketing |
| @Fresh | 1,176,626 | Gamer | games, crypto, creator |
| @ChandlerHallow | 1,134,471 | Influencer | Comedy, Jesus, Self-deprecating |
| @nico_riera | 1,015,701 | Actor | music, acting, travel |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,544
Followers With Bio
2,456
Followers Without Bio
75.44%
% With Bio
24.56%
% 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 3,197 analyzed104,378
Combined Engagement
31,459
Total Likes
72,919
Total Retweets
20,876
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
RT @CluCoin: We'll give a Lamborgini ($500,000 in CLU) to a random person who retweets this within the next 96 hours. Winner must be following so we can DM you if you win. RT + Comment #CluLambo https://t.co/J39KuchUYJ
2 years ago vs now 😳 Wont stop anytime soon https://t.co/7vqOatHoJp
#RipFortnite https://t.co/pIKyhlcxf9
RT @XXL: The Blackout Tuesday tag on Instagram has 24.9 million posts The Justice for George Floyd petition has 11.8 million signatures The point of today is being missed Sign here and find additional resources below: https://t.co/BFF0D4ostR https://t.co/G82pN22Ewc
Joined @MisfitsGG ❤️
Key Insights & Takeaways
Sceptic's content often reflects personal growth and change over time They maintain a strong connection with their audience through consistent interaction and updates Their focus on gaming and Web3 indicates a niche but engaged community
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 95,805
- + 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 @Sceptic reveals an well-established Twitter presence with 95,805 followers. The account demonstrates a conversation-first approach, averaging 185.5 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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