LOUD Cauan7
RJ | SP Pro Player e Influencer da @LOUDgg
380,341
Followers
462
Following
4,517
Tweets
1,619.3
Avg Engagement
49
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @loud_cauan1'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:2020-09-09
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:1,531.2
- Avg Retweets per Tweet:88.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,248 tweetsHis tweets receive a high number of likes and retweets, showing strong audience interaction. The emotional tone of his posts likely drives this engagement.
1,531.2
Avg Likes/Tweet
88.2
Avg Retweets/Tweet
4,973,188
Total Likes
286,364
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1,167
Median Likes
5
Median Retweets
2,122
75th Percentile
139,570
Top Tweet
4.26
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
71.3%
Original
24.9%
Replies
1.2%
Retweets
2.6%
Quotes
0.0%
Threads
0.0%
With Media
9.9%
With Links
2.5%
With #Tags
27.6%
With @Mentions
27.9%
With Emojis
43
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.35
Reply/Original Ratio
2.21
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
63.8%
Weekday Posts
36.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,248 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 38 retweets (1% 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 3,248 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 followersHis followers are likely young, male, and deeply invested in gaming and esports. They appreciate his authenticity and emotional connection to his content.
Below Average
Audience Quality
38.6%
Suspicion Index
49.3%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
50.2%
Empty Bio
64.4%
<10 Tweets
1.8%
Mass Following (>2K)
0.0%
New (<90 days)
84.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.4%
No URL
48.4%
<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.
12,607,621
Total Potential Reach
1
Median Follower Reach
6
75th Percentile Reach
0.9%
>1K followers
0.1%
>10K followers
0.0%
>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).
16.1%
Creators
8,074 accounts
19.4%
Consumers
9,725 accounts
64.4%
Dormant
32,201 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):
29
Verified Followers
0.03% of total
10,020
Protected Accounts
9.92% of total
2 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 | 14,106,696 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,462 | - | - |
| @Aguiarthur | 2,212,325 | Entertainer | Music, Travel, Family |
| @loud_victor | 1,913,904 | Comedian | Gaming, Joker, Fun |
| @FreeFireBR | 959,255 | Gaming | Esports, Novidades, Dicas |
| @submarino | 846,931 | E-commerce | Ele/dele, presentes, submarino |
| @njdmarlon | 718,695 | Comedian | humor, futebol, parcerias |
| @RedeTV | 513,100 | TV Network | Entertainment, News, Television |
| @jstorres | 401,181 | Banker | Author, Soccer, Blockchain |
| @blxckoutz | 400,471 | Professional Gamer | Fortnite, Tournament, Cloud9 |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
55,574
Followers With Bio
45,425
Followers Without Bio
55.02%
% With Bio
44.98%
% 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 3,248 analyzed244,301
Combined Engagement
40,807
Total Likes
203,494
Total Retweets
48,860
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
40%
With @Mentions
40%
With Links
Topical Analysis:
RT @vinijr: ✊🏿🖤! Obrigado pelo apoio! Eu não vou parar! #BailaViniJr https://t.co/h3RsmwYAYw
RT @vinijr: Nunca desista de seus sonhos.... https://t.co/CqkmdLXQk5
É EU PRA CRLH PORRA
DEU BOM MINHA TROPA 💚🥺
Chorando até agr mano, mdss
Key Insights & Takeaways
His content is highly emotional and personal, which resonates with his audience He frequently uses emojis and informal language to connect with fans His tweets often reflect both pride in his gaming achievements and frustration with challenges
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 380,341
- + 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 @loud_cauan1 reveals an exceptionally influential Twitter presence with 380,341 followers. The account demonstrates a content-creator strategy, averaging 1,619.3 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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