Charlie Sloth
221,969
Followers
3,845
Following
74,332
Tweets
58.7
Avg Engagement
401
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @CharlieSloth'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:2009-03-15
- Verification:No
- Location:Outside a box...
Data Summary
- Tweets Analyzed:2,984
- Avg Likes per Tweet:15.1
- Avg Retweets per Tweet:43.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,984 tweetsThe account shows high engagement with an average of 2,032 likes and 806 retweets per tweet, indicating a loyal and active follower base.
15.1
Avg Likes/Tweet
43.6
Avg Retweets/Tweet
44,957
Total Likes
130,164
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
3
Median Retweets
10
75th Percentile
48,528
Top Tweet
0.26
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
11.6%
Original
4.1%
Replies
79.5%
Retweets
4.9%
Quotes
0.0%
Threads
0.1%
With Media
41.7%
With Links
27.6%
With #Tags
88.7%
With @Mentions
56.8%
With Emojis
102
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.35
Reply/Original Ratio
0.06
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.0%
Weekday Posts
32.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,984 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 2,371 retweets (79% 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 2,984 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 followersTheir audience appears to be interested in music, particularly hip-hop and pop culture, with a mix of casual followers and fans of specific artists.
Average
Audience Quality
23.1%
Suspicion Index
27.2%
Low-Quality %
39
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.0%
Empty Bio
25.0%
<10 Tweets
11.1%
Mass Following (>2K)
0.0%
New (<90 days)
48.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
83.8%
No URL
15.4%
<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.
112,167,916
Total Potential Reach
39
Median Follower Reach
185
75th Percentile Reach
5.9%
>1K followers
1.0%
>10K followers
0.4%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
51.9%
Creators
25,932 accounts
23.1%
Consumers
11,544 accounts
25.0%
Dormant
12,524 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):
314
Verified Followers
0.31% of total
11,743
Protected Accounts
11.63% 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 |
|---|---|---|---|
| @LFC | 23,638,014 | Sports Team | Football, Anti-hate, Unity |
| @JohnCena | 14,100,220 | Wrestler | Wrestling, Motivation, Self-promotion |
| @JKCorden | 10,714,669 | TV Host | Comedy, Late Night TV, Entertainment |
| @AppleMusic | 10,297,146 | Music streaming | Music, Social Justice, Diversity |
| @PostMalone | 7,012,063 | Musician | Music, Tattoos, Beer |
| @cuppymusic | 5,781,771 | DJ | Music, DJing, Philanthropy |
| @casspernyovest | 4,376,642 | Musician | Music, Family, Legend |
| @frankieboyle | 2,689,918 | Comedian | Comedy, Residency, Glasgow |
| @radioleary | 2,657,094 | - | - |
| @jeremycorbyn | 2,525,455 | Politician | politics, activism, socialism |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
56,229
Followers With Bio
44,729
Followers Without Bio
55.7%
% With Bio
44.3%
% 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 2,984 analyzed90,980
Combined Engagement
11,429
Total Likes
79,551
Total Retweets
18,196
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
80%
With @Mentions
100%
With Links
Topical Analysis:
RT @theestallion: Thee stallion in her natural habitat lol my @Beats1 freestyle https://t.co/nw9I8gjqSU
RT @SoccerAM: The greatest Liverpool song of all time...LIVE IN THE STUDIO! #SalahDooDooDooDooDoDo 😂 https://t.co/5jtCB86ZNg
This week on #FireInTheBooth on @Beats1 @applemusic its all about @theestallion 🔥🔥🔥🔥 https://t.co/FCRfrMweGm
PROBLEM 🦂 #DrakeFITB https://t.co/tTDzGfYX4L
RT @theestallion: I can’t wait for y’all to hear my fire in the booth tomorrow with @CharlieSloth @Beats1 @AppleMusic https://t.co/QZvnmhNu…
Key Insights & Takeaways
The user frequently shares links to music content, suggesting a focus on promoting tracks and artists. They engage with their audience through humor and personal commentary, which helps build a relatable persona. Their content often includes interactions with other notable figures, indicating a strategic approach to networking and visibility.
Strengths
- + Established follower base of 221,969
- + 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 @CharlieSloth reveals an growing Twitter presence with 221,969 followers. The account demonstrates a content-creator strategy, averaging 58.7 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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