Channel Super Fun
Trying to brighten up your day with epic challenges or funny pranks. Help us keep making these video by buying stuff at https://www.lttstore.com/
40982
Followers
61
Following
710
Tweets
186,3
Avg Engagement
107
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @channelsuperfun'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:2015-09-25
- Verification:No
- Location:Vancouver, British Columbia
Data Summary
- Tweets Analyzed:598
- Avg Likes per Tweet:137,3
- Avg Retweets per Tweet:49,0
- Followers Analyzed:42173
Engagement Analysis
Based on 598 tweetsThe account consistently receives high engagement, indicating a loyal and active audience. The use of calls-to-action, such as asking for likes, helps boost interaction and visibility.
137,3
Avg Likes/Tweet
49,0
Avg Retweets/Tweet
82097
Total Likes
29328
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
58
Median Likes
2
Median Retweets
154
75th Percentile
25118
Top Tweet
4,55
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
63,2%
Original
26,9%
Replies
5,2%
Retweets
4,7%
Quotes
0,0%
Threads
0,2%
With Media
68,9%
With Links
3,0%
With #Tags
44,3%
With @Mentions
4,3%
With Emojis
71
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0,43
Reply/Original Ratio
0,9
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
88,6%
Weekday Posts
11,4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 598 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 31 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 598 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 42173 followersThe audience is likely young and entertained by humor, challenges, and viral content. They are active on social media and enjoy interactive and participatory content.
Average
Audience Quality
22,3%
Suspicion Index
26,8%
Low-Quality %
22
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43,3%
Empty Bio
18,7%
<10 Tweets
5,7%
Mass Following (>2K)
0,0%
New (<90 days)
57,7%
Low Ratio (<0.1)
0,0%
New (<180 days)
80,4%
No URL
10,4%
<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.
12409996
Total Potential Reach
22
Median Follower Reach
74
75th Percentile Reach
1,6%
>1K followers
0,2%
>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).
55,4%
Creators
23366 accounts
25,9%
Consumers
10913 accounts
18,7%
Dormant
7894 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):
184
Verified Followers
0.44% of total
5436
Protected Accounts
12.89% of total
8 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 |
|---|---|---|---|
| @LinusTech | 1814274 | Tech YouTuber | Tech, YouTube, Tips |
| @linusgsebastian | 597158 | YouTuber | YouTube videos, badminton, Canadian |
| @MartinAButters | 463107 | Tech Marketing | Technology, Marketing, Business |
| @AntVenom | 431916 | Gamer | Gaming, Minecraft, Content Creation |
| @bitwitkyle | 406044 | - | - |
| @EvanKirstel | 343680 | Tech Influencer | Tech, B2B, Social media |
| @luke_lafr | 262569 | Chief Operating Officer | Tech, Gaming, Media |
| @MaxWinebach | 229633 | Writer | Tech, Android, Writing |
| @KOMINERT | 223415 | Talent Agent | Music Promotion, Talent Agents, RnB/Soul |
| @LeeCamp | 206587 | Comedian | comedy, politics, activism |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
23927
Followers With Bio
18246
Followers Without Bio
56.74%
% With Bio
43.26%
% 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 598 analyzed36537
Combined Engagement
11122
Total Likes
25415
Total Retweets
7307
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
RT @levie: Nintendo's mobile strategy: 2008: what's an iPhone 2010: what's an Android 2012: nope 2014: still no 2016: change how society…
Welcome to Colton Media Group! Who’s firing who now LINUS?! https://t.co/WrCrjuY7CL
The new guy is working hard on the next CSF videos. Should we motivate him by throwing Linus plushies at him? Every 1000 likes this post gets, and we'll do it. https://t.co/GPu16zq7fE
Colton's big surprise https://t.co/Pre0PvYFLg
If you drink vinegar, you lose! https://t.co/40o4WhnK3t
Key Insights & Takeaways
The account leverages humor and challenges to drive engagement. It uses audience participation to increase likes and retweets. Collaborations and surprise elements keep the content fresh and exciting.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 40982
- + 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 @channelsuperfun reveals an well-established Twitter presence with 40982 followers. The account demonstrates a content-creator strategy, averaging 186,3 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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