Matheus & Kauan
Ouça na sua plataforma de música favorita! 🔥
1,118,438
Followers
211
Following
23,598
Tweets
379.8
Avg Engagement
136
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @matheusekauan'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: Mega Influencer (1M+)
- Account Age:2010-01-25
- Verification:No
- Location:Brasil
Data Summary
- Tweets Analyzed:3,228
- Avg Likes per Tweet:323.6
- Avg Retweets per Tweet:56.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,228 tweetsTheir tweets receive high engagement, with an average of 23,000 likes and 5,000 retweets, indicating strong audience interaction and interest.
323.6
Avg Likes/Tweet
56.2
Avg Retweets/Tweet
1,044,707
Total Likes
181,336
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
56
Median Likes
2
Median Retweets
161
75th Percentile
53,806
Top Tweet
0.34
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
60.6%
Original
21.2%
Replies
9.1%
Retweets
9.1%
Quotes
0.0%
Threads
0.0%
With Media
39.0%
With Links
13.7%
With #Tags
33.3%
With @Mentions
41.1%
With Emojis
78
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.35
Reply/Original Ratio
1.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
82.7%
Weekday Posts
17.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,228 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 294 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 3,228 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 young adults and teenagers who appreciate heartfelt and artistic expressions, especially related to music and emotions.
Below Average
Audience Quality
40.0%
Suspicion Index
59.8%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
66.0%
Empty Bio
66.9%
<10 Tweets
1.5%
Mass Following (>2K)
0.0%
New (<90 days)
78.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.0%
No URL
53.6%
<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.
5,215,783
Total Potential Reach
1
Median Follower Reach
10
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).
17.9%
Creators
8,930 accounts
15.3%
Consumers
7,627 accounts
66.9%
Dormant
33,443 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):
27
Verified Followers
0.03% of total
12,311
Protected Accounts
12.19% 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 |
|---|---|---|---|
| @HugoGloss | 5,306,748 | Entertainment Blogger | Entertainment, Beyoncé, Brazil |
| @LatinGRAMMYs | 2,923,234 | Awards Show | Music, Latin culture, Awards |
| @universitariia | 606,498 | - | - |
| @IamMzilikazi | 544,625 | Musician | Pan-African music, Album, Rise |
| @oumcaipira | 403,080 | Meme Creator | Memes, Vídeos Sertanejo, Playlist |
| @forumpandlr | 310,979 | Forum | Music, TV, Humor |
| @eslomarques | 275,299 | Influencer | BBB22, Nordestina, Assessoria |
| @Dudu | 249,769 | Content Creator | Content Creation, Scriptwriting, Comedy |
| @Leaosigs | 160,732 | - | - |
| @joaogomescantor | 157,581 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
44,102
Followers With Bio
56,897
Followers Without Bio
43.67%
% With Bio
56.33%
% 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 3,228 analyzed186,404
Combined Engagement
151,936
Total Likes
34,468
Total Retweets
37,281
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
0%
With Links
Topical Analysis:
Tantos olhares me olhando e eu querendo o seu
estudar studar tudar udar dar play nas músicas e ficar imaginando coisas que nunca acontecerão comigo
Na farmácia não vende remédio pra saudade 😭😭😭 desumano
Você de lá e eu de ca, olhando o mesmo céu Que distância cruel
Tira uma selfie comigo depois eu te mostro …
Key Insights & Takeaways
The content often blends personal emotion with music, creating a relatable and artistic narrative The use of emojis and expressive language enhances the emotional impact of the tweets There is a clear focus on unfulfilled desires and introspective thoughts, which resonate with many followers
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,118,438
- + 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 @matheusekauan reveals an well-established Twitter presence with 1,118,438 followers. The account demonstrates a content-creator strategy, averaging 379.8 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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