174,505
Followers
864
Following
19,992
Tweets
172.7
Avg Engagement
93
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @CarbonRH'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:2013-04-16
- Verification:No
- Location:Miaou
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:55.9
- Avg Retweets per Tweet:116.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,249 tweetsThe average engagement per tweet is moderate, with around 4,662 likes and 143 retweets, suggesting a loyal but not highly interactive audience.
55.9
Avg Likes/Tweet
116.8
Avg Retweets/Tweet
181,527
Total Likes
379,527
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
7
Median Likes
0
Median Retweets
32
75th Percentile
179,549
Top Tweet
0.99
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
31.6%
Original
62.9%
Replies
2.9%
Retweets
2.6%
Quotes
0.0%
Threads
0.2%
With Media
17.0%
With Links
2.1%
With #Tags
65.8%
With @Mentions
4.1%
With Emojis
47
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.99
Reply/Original Ratio
0.87
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.6%
Weekday Posts
30.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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 95 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 3,249 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 appears to be interested in gaming, particularly League of Legends, and sports events like football matches. The content is likely appealing to younger, casual followers.
Average
Audience Quality
29.7%
Suspicion Index
35.0%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48.6%
Empty Bio
35.5%
<10 Tweets
1.6%
Mass Following (>2K)
0.0%
New (<90 days)
76.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.1%
No URL
21.5%
<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.
14,315,823
Total Potential Reach
6
Median Follower Reach
26
75th Percentile Reach
0.8%
>1K followers
0.2%
>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).
36.8%
Creators
18,415 accounts
27.7%
Consumers
13,828 accounts
35.5%
Dormant
17,757 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):
90
Verified Followers
0.09% of total
5,793
Protected Accounts
5.74% of total
5 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 |
|---|---|---|---|
| @Inoxtag | 2,814,719 | Youtuber | Gaming, Streaming, Content Creation |
| @Michoucroute_ | 1,890,869 | Singer | Music, EP, Love |
| @FortniteFR | 1,066,686 | Gaming | Battle Royale, Collaboration, Aventure |
| @PatrickAdemo | 1,064,784 | Unknown | Travel, Adventure, Long journey |
| @valouzz_ | 984,913 | YouTuber | - |
| @Crimsix | 869,350 | Professional Gamer | Gaming, Competitive, Motivation |
| @UrbanLePharaon | 774,219 | - | - |
| @PrimeTimeFUT | 717,131 | Gamer | Gaming, Esports, Content creation |
| @Fnac | 499,512 | Retail | High Tech, Gaming, Musique |
| @JJJordynjones | 438,131 | Influencer | Dance, Music, Fashion |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
48,666
Followers With Bio
52,333
Followers Without Bio
48.18%
% With Bio
51.82%
% 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 3,249 analyzed273,967
Combined Engagement
0
Total Likes
273,967
Total Retweets
54,793
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @PSG_inside: A new 💎 in Paris ! PSGxMESSI ❤️💙 https://t.co/2JpYSRtpCy
RT @AmongUsGame: ☀️ THE AIRSHIP - A new map coming early 2021 ☀️ Prepare yourselves, crewmates. This upcoming (free!) map will include: 🔹…
RT @AmongUsGame: 📢 MARCH 31 📢 #TheAirship is coming. this NEW map is our biggest one yet, including: • all new tasks • different start…
RT @weirdlilguys: that good good https://t.co/3mKmdfQOEI
RT @F1: IT'S POLE FOR GEORGE RUSSELL!!! What a lap from the Briton - his first career pole! #HungarianGP #F1 https://t.co/K08w2LhLzt
Key Insights & Takeaways
The user frequently shares personal and lighthearted content, indicating a casual and relatable tone. There is a clear interest in gaming and sports, with specific mentions of League of Legends and football matches. The use of emojis and hashtags suggests an effort to increase visibility and emotional connection with followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 174,505
- + 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 @CarbonRH reveals an well-established Twitter presence with 174,505 followers. The account demonstrates a conversation-first approach, averaging 172.7 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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