et bilu 🌸
[email protected] || minhas outras redes https://linktr.ee/coelhogui
1,396,635
Followers
3,716
Following
51,419
Tweets
687.9
Avg Engagement
292
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @mateiformiga'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:2012-01-17
- Verification:No
- Location:São Paulo, Brasil
Data Summary
- Tweets Analyzed:3,242
- Avg Likes per Tweet:586.7
- Avg Retweets per Tweet:101.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,242 tweetsThe account shows high engagement with an average of 58,439 likes and 5,227 retweets per tweet, indicating strong audience interaction. The content is likely to be shared and liked frequently.
586.7
Avg Likes/Tweet
101.2
Avg Retweets/Tweet
1,902,213
Total Likes
328,048
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
18
Median Likes
0
Median Retweets
134
75th Percentile
139,961
Top Tweet
0.49
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
14.7%
Original
82.5%
Replies
1.9%
Retweets
0.9%
Quotes
0.0%
Threads
0.0%
With Media
24.9%
With Links
0.1%
With #Tags
81.4%
With @Mentions
11.7%
With Emojis
66
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
5.59
Reply/Original Ratio
0.45
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.4%
Weekday Posts
25.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,242 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 62 retweets (2% 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 3,242 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 likely includes individuals interested in personal connections and direct engagement. The user's content may appeal to those seeking personal interactions or specific services.
Average
Audience Quality
25.8%
Suspicion Index
28.9%
Low-Quality %
8
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.1%
Empty Bio
32.8%
<10 Tweets
2.6%
Mass Following (>2K)
0.0%
New (<90 days)
66.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.4%
No URL
22.7%
<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.
17,153,139
Total Potential Reach
8
Median Follower Reach
36
75th Percentile Reach
1.7%
>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).
43.7%
Creators
21,835 accounts
23.5%
Consumers
11,772 accounts
32.8%
Dormant
16,393 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):
87
Verified Followers
0.09% of total
14,171
Protected Accounts
14.03% of total
3 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 |
|---|---|---|---|
| @felipeneto | 16,230,517 | - | - |
| @Casimiro | 4,063,719 | Streamer | Vasco da Gama, Presenting, Streaming |
| @GuilhermeBoulos | 2,226,613 | Activist | Social Justice, Housing Rights, Activism |
| @ouiIudido | 1,871,233 | Influencer | N/A |
| @shitpostverdade | 1,693,521 | Meme Creator | MEMES, estranhos, origem duvidosa |
| @SinghLions | 1,335,184 | Restaurateur | Food, Travel, Influencer |
| @loud_voltan | 1,095,294 | Content Creator | youtuber, influencer, streamer |
| @memeinteligente | 822,535 | Meme Creator | humor, conhecimento, memes |
| @rolealeatorio | 789,857 | Influencer | God, random, blessings |
| @WhoIsCarlos | 716,207 | Musician | Music, Rock, Guitar |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
68,560
Followers With Bio
32,438
Followers Without Bio
67.88%
% With Bio
32.12%
% 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 3,242 analyzed423,515
Combined Engagement
383,215
Total Likes
40,300
Total Retweets
84,703
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
https://t.co/ymPPLTabpY
https://t.co/j5C9OTfxii
aqui te farei mulher https://t.co/Yr34p2umuu
https://t.co/FswTaU0NbD
não aguento mais https://t.co/6UsSBRUSy2
Key Insights & Takeaways
The user's bio includes contact information and links to other social media platforms, suggesting a multi-platform presence. The top tweets include personal and direct messages, indicating a focus on individual interactions. The engagement metrics suggest the content is well-received and widely shared among followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,396,635
- + 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 @mateiformiga reveals an well-established Twitter presence with 1,396,635 followers. The account demonstrates a conversation-first approach, averaging 687.9 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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