Matheus Lisboa
290,649
Followers
712
Following
43,391
Tweets
441.8
Avg Engagement
100
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @uaimatheus'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:2016-01-03
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,244
- Avg Likes per Tweet:379.9
- Avg Retweets per Tweet:61.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,244 tweetsThe average likes and retweets per tweet suggest a relatively engaged audience, though not extremely high compared to top-tier accounts.
379.9
Avg Likes/Tweet
61.8
Avg Retweets/Tweet
1,232,542
Total Likes
200,517
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
50
Median Likes
2
Median Retweets
171
75th Percentile
148,569
Top Tweet
1.52
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
64.3%
Original
27.9%
Replies
4.1%
Retweets
3.6%
Quotes
0.0%
Threads
0.2%
With Media
29.8%
With Links
7.1%
With #Tags
31.6%
With @Mentions
8.3%
With Emojis
52
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.43
Reply/Original Ratio
0.88
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
78.3%
Weekday Posts
21.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,244 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 134 retweets (4% 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 3,244 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 social commentary and possibly Brazilian pop culture, given the references to Naiara Azevedo and other names in the top tweets.
Average
Audience Quality
30.4%
Suspicion Index
29.4%
Low-Quality %
50
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.2%
Empty Bio
28.5%
<10 Tweets
24.7%
Mass Following (>2K)
0.0%
New (<90 days)
63.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.5%
No URL
17.6%
<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.
52,860,823
Total Potential Reach
50
Median Follower Reach
192
75th Percentile Reach
6.4%
>1K followers
0.9%
>10K followers
0.2%
>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).
46.8%
Creators
23,421 accounts
24.6%
Consumers
12,310 accounts
28.5%
Dormant
14,269 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):
107
Verified Followers
0.11% of total
17,157
Protected Accounts
17.16% 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 |
|---|---|---|---|
| @LulaOficial | 7,722,153 | Politician | politics, worker's rights, social justice |
| @choquei | 5,186,165 | Entertainment News | artistas, famosos, acontecimentos |
| @alvxaro | 4,912,178 | Meme Slayer | memes, humor, matadora |
| @FePaesLeme | 4,431,378 | TV Host | Fashion, Beauty, Lifestyle |
| @frasesdebebada | 4,343,344 | Influencer | Alcohol, Humor, Influencer |
| @GilDoVigor | 3,284,954 | Economist | Economia, PhD, Forbes |
| @MTVBrasil | 2,552,252 | Entertainment | Music, Entertainment, TV Shows |
| @cleytu | 2,338,340 | Blogger | cotidiano, bastidores, curiosidades |
| @MarceloFreixo | 1,976,294 | Politician | Family, Education, Politics |
| @euleodias | 1,845,577 | Journalist | BBB21, Metropoles, Vamos Falar |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
62,960
Followers With Bio
37,040
Followers Without Bio
62.96%
% With Bio
37.04%
% 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 3,244 analyzed367,885
Combined Engagement
335,038
Total Likes
32,847
Total Retweets
73,577
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
80%
With Links
Topical Analysis:
a geração Z nunca saberá como a gente era feliz https://t.co/Cm9SOWpqKv
a maozinha abrindo a maçaneta pra jade 🗣🗣🗣🗣 https://t.co/Rua2vnqx7L
naiara azevedo entrou o irmao da marilia agora https://t.co/O9MLT9LJXg
Lula 1° turno! Eu acredito.
na vida eu to igual a luisa sonza bom dia https://t.co/B8pKHwI32B
Key Insights & Takeaways
The user's content often includes references to Brazilian celebrities and public figures, indicating a focus on entertainment and social media trends. The use of hashtags and direct links suggests an attempt to drive traffic or engage in conversations around specific topics. The account's bio and top tweets hint at a personal or semi-public persona, possibly involving commentary on current events or cultural phenomena.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 290,649
- + 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 @uaimatheus reveals an well-established Twitter presence with 290,649 followers. The account demonstrates a content-creator strategy, averaging 441.8 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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