1,337,955
Followers
282
Following
3,148
Tweets
994.4
Avg Engagement
980
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Pato'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:2013-03-18
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,100
- Avg Likes per Tweet:883.4
- Avg Retweets per Tweet:111.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,100 tweetsHis tweets receive high engagement, with an average of 38,049 likes and 5,742 retweets. This indicates a strong and active community around his posts.
883.4
Avg Likes/Tweet
111.0
Avg Retweets/Tweet
2,738,463
Total Likes
344,037
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
104
Median Likes
26
Median Retweets
622
75th Percentile
123,379
Top Tweet
0.74
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
64.8%
Original
26.2%
Replies
3.0%
Retweets
6.0%
Quotes
0.0%
Threads
0.1%
With Media
52.1%
With Links
14.3%
With #Tags
38.6%
With @Mentions
48.5%
With Emojis
65
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.4
Reply/Original Ratio
1.98
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.1%
Weekday Posts
28.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,100 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 94 retweets (3% 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 3,100 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 audience is primarily Brazilian, with a focus on those who share his religious and patriotic views. The content resonates with people looking for inspiration and national unity.
Average
Audience Quality
27.1%
Suspicion Index
27.5%
Low-Quality %
26
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.5%
Empty Bio
30.1%
<10 Tweets
12.5%
Mass Following (>2K)
0.0%
New (<90 days)
64.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.3%
No URL
19.4%
<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.
52,764,888
Total Potential Reach
26
Median Follower Reach
129
75th Percentile Reach
4.1%
>1K followers
0.4%
>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).
48.4%
Creators
24,193 accounts
21.5%
Consumers
10,732 accounts
30.1%
Dormant
15,075 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):
289
Verified Followers
0.29% of total
8,920
Protected Accounts
8.92% 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 |
|---|---|---|---|
| @JohnCena | 14,105,296 | Wrestler | Wrestling, Motivation, Self-promotion |
| @MLS | 3,345,616 | Sports League | Soccer, Stadiums, Stars |
| @GilDoVigor | 3,275,710 | Economist | Economia, PhD, Forbes |
| @BolsonaroSP | 2,540,822 | Politician | Politics, Law, Family |
| @sportbible | 2,080,691 | Sports Media | Sport, Lifestyle, Entertainment |
| @_felipemelo_ | 1,898,057 | Soccer Player | Soccer, Brazil, Instagram |
| @futebol_info | 1,784,263 | Sports Journalist | Futebol, Bastidores, Publicidade |
| @DiMarzio | 1,764,456 | Journalist | Calcio, Calciomercato, Libri |
| @OrlandoMagic | 1,627,744 | Sports Team | Basketball, Orlando, Brazil |
| @vitorbelfort | 1,432,018 | MMA Fighter | UFC, Champion, Performance Training |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
65,787
Followers With Bio
34,213
Followers Without Bio
65.79%
% With Bio
34.21%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,100 analyzed314,356
Combined Engagement
282,131
Total Likes
32,225
Total Retweets
62,871
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
Brasil acima de tudo; Deus acima de todos 🙏🏻🇧🇷
Primeiro Deus acima de tudo. Quanta maldade e como é difícil ver a situação que passamos. E o Brasil em si. Torço pelo Brasil melhorar e crescer cada vez mais e ser um exemplo de país seguido. Então vou apoiar o PR sim para que ele possa fazer um Brasil melhor
2022 e’ di nuovo a casa 🏆 !!! Campioneeeee ❤️🖤 @acmilan https://t.co/ogdN60NbDd
Its true ❤️💜 https://t.co/hrXsOqTDdD
O Bressan!!! 😂😂😂😂 ta rindo agora??? Hahahaha velha música : “what goes around... comes around” https://t.co/vRaKjnqP83
Key Insights & Takeaways
Pato's content is heavily influenced by his faith and national pride. He often uses emotional and inspirational language to connect with his audience. His engagement suggests a loyal and passionate following.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,337,955
- + 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 @Pato reveals an well-established Twitter presence with 1,337,955 followers. The account demonstrates a content-creator strategy, averaging 994.4 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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