SuperMega
Pick-up artists
281,637
Followers
466
Following
5,483
Tweets
3,481.4
Avg Engagement
183
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SuperMegaShow'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: Macro Influencer (100K+)
- Account Age:2016-04-04
- Verification:No
- Location:The Comedy Awards, Front Row
Data Summary
- Tweets Analyzed:3,235
- Avg Likes per Tweet:3,302.4
- Avg Retweets per Tweet:179.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,235 tweetsThe account averages 56,405 likes and 3,592 retweets per tweet, showing high user interaction. The content is well-received, with a mix of humor, advice, and provocative statements.
3,302.4
Avg Likes/Tweet
179.0
Avg Retweets/Tweet
10,683,310
Total Likes
578,983
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2,131
Median Likes
61
Median Retweets
4,492
75th Percentile
116,520
Top Tweet
12.36
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
70.9%
Original
16.5%
Replies
9.0%
Retweets
3.6%
Quotes
0.0%
Threads
0.2%
With Media
54.4%
With Links
4.2%
With #Tags
24.7%
With @Mentions
11.7%
With Emojis
80
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.23
Reply/Original Ratio
0.4
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.7%
Weekday Posts
22.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,235 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 290 retweets (9% 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 3,235 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 followersThe audience is likely interested in personal development, relationships, and self-improvement topics. They engage actively with the content, indicating a community that values motivational and actionable advice.
Average
Audience Quality
27.2%
Suspicion Index
31.2%
Low-Quality %
11
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.3%
Empty Bio
35.2%
<10 Tweets
4.6%
Mass Following (>2K)
0.0%
New (<90 days)
66.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.0%
No URL
24.2%
<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.
38,072,122
Total Potential Reach
11
Median Follower Reach
43
75th Percentile Reach
1.4%
>1K followers
0.3%
>10K followers
0.1%
>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).
40.8%
Creators
20,405 accounts
24.0%
Consumers
11,993 accounts
35.2%
Dormant
17,602 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):
247
Verified Followers
0.25% of total
11,430
Protected Accounts
11.43% 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 | 14,102,347 | Wrestler | Wrestling, Motivation, Self-promotion |
| @KarlJacobs_ | 4,725,701 | Content Creator | Comedy, Content Creation, Business |
| @tommyinnit | 4,221,265 | Gamer | Gaming, Influencer, Content Creator |
| @h3h3productions | 2,303,596 | Podcaster | Comedy, Podcasting, Entertainment |
| @anthonypadilla | 2,285,348 | YouTuber | YouTube, Comedy, Podcasts |
| @theodd1sout | 1,921,464 | YouTuber | Comedy, Videos, Business |
| @michaelreeves | 1,619,720 | YouTuber | Programming, Robotics, Chaos |
| @JustaMinx | 1,593,976 | Content Creator | Gaming, Irish culture, G Fuel |
| @tweetsauce | 1,317,799 | Educator | Science, Education, Curiosity |
| @grandayy | 1,228,354 | Meme Creator | memes, music, comedy |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
67,756
Followers With Bio
32,244
Followers Without Bio
67.76%
% With Bio
32.24%
% 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 full follower list with profile details, bios, locations, and follower counts as CSV.
Buy Followers - from $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,235 analyzed472,694
Combined Engagement
447,939
Total Likes
24,755
Total Retweets
94,539
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
https://t.co/eOcv3sdgRh
Thanks Biden https://t.co/911SYnm2og
day two of the 420 drop https://t.co/2fUbYGBSct
Fucking ridiculous. https://t.co/lSDse196tg
https://t.co/NyiRanQwqS
Key Insights & Takeaways
The account uses provocative and attention-grabbing language to engage followers. It frequently shares content related to personal development and relationships. The use of verified links suggests a focus on promoting specific content or products.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 281,637
- + 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 @SuperMegaShow reveals an exceptionally influential Twitter presence with 281,637 followers. The account demonstrates a content-creator strategy, averaging 3,481.4 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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