Thiago Maia
Só o Senhor é Deus, só Deus é o Senhor!
523,785
Followers
49
Following
738
Tweets
9,407.0
Avg Engagement
306
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @tmaia29'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:2016-08-18
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:709
- Avg Likes per Tweet:8,782.1
- Avg Retweets per Tweet:624.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 709 tweetsTheir tweets receive substantial likes and retweets, indicating a highly engaged and loyal follower base.
8,782.1
Avg Likes/Tweet
624.9
Avg Retweets/Tweet
6,226,517
Total Likes
443,031
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4,172
Median Likes
231
Median Retweets
15,184
75th Percentile
94,252
Top Tweet
17.96
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
58.3%
Original
27.5%
Replies
11.0%
Retweets
3.2%
Quotes
0.0%
Threads
0.1%
With Media
56.8%
With Links
13.3%
With #Tags
57.3%
With @Mentions
79.8%
With Emojis
81
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.47
Reply/Original Ratio
0.29
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.2%
Weekday Posts
24.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 709 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 78 retweets (11% 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 709 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 followersTheir audience likely includes fans of Flamengo, followers of religious content, and people interested in personal success stories.
Below Average
Audience Quality
38.9%
Suspicion Index
54.7%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
62.4%
Empty Bio
61.9%
<10 Tweets
2.8%
Mass Following (>2K)
0.0%
New (<90 days)
79.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.1%
No URL
47.0%
<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.
6,779,465
Total Potential Reach
2
Median Follower Reach
13
75th Percentile Reach
1.3%
>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).
19.0%
Creators
9,498 accounts
19.1%
Consumers
9,570 accounts
61.9%
Dormant
30,932 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):
43
Verified Followers
0.04% of total
8,919
Protected Accounts
8.83% 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 |
|---|---|---|---|
| @GiorgiandeA | 1,727,941 | Soccer Player | Soccer, Championships, Brazil |
| @localscale | 612,141 | Platform Developer | impact, acceleration, initiatives |
| @alcrsk | 433,101 | Influencer | pensamentos, felicidade, publicidade |
| @Moreno | 430,339 | Influencer | Business, Manager, Serious |
| @loud_cauan1 | 373,632 | Gamer | Gaming, Influencer, Pro Player |
| @luzdcmundo | 155,102 | Inspirational Speaker | Faith, Strength, Courage |
| @TomekHajto7 | 127,571 | Footballer | Football, Schalke 04, Derby |
| @Camisasrj33 | 119,954 | Influencer | Trafico, Rio de Janeiro, Realidade |
| @NPTO | 118,479 | Sociólogo | Flamengo, sociology, politics |
| @1453Fenerbahce | 111,300 | Sports Fan | Football, Istanbul, Passion |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
44,254
Followers With Bio
56,744
Followers Without Bio
43.82%
% With Bio
56.18%
% 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 709 analyzed371,247
Combined Engagement
331,738
Total Likes
39,509
Total Retweets
74,249
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
Sem palavra! 😭 Amo vocês! ❤️🙌🏻 @Flamengo https://t.co/TN79i4KKJ5
https://t.co/Ky1MEnSb6C
Partiu semifinais! MENGOOOOOOOOOOO! ❤️🖤 @Flamengo https://t.co/Wa8L1eIaKT
Esse ano tenho mais títulos do que jogos pelo @Flamengo 😂❤️ https://t.co/KEyccGzH14
Contrato renovado ✅ Campeão Brasileiro 2020 ✅ Casamento ✅
Key Insights & Takeaways
Their content blends faith with sports and personal life, creating a unique and relatable narrative. They leverage major life events and achievements to connect with their audience. Their use of emojis and hashtags enhances emotional engagement and visibility.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 523,785
- + 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 @tmaia29 reveals an exceptionally influential Twitter presence with 523,785 followers. The account demonstrates a content-creator strategy, averaging 9,407.0 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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