paiva
apenas feios levam meu twitter a sério. #🏳🌈 [email protected] 📧
597,497
Followers
1,560
Following
92,985
Tweets
1,700.2
Avg Engagement
894
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @paiva'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:2014-07-26
- Verification:No
- Location:brasil
Data Summary
- Tweets Analyzed:3,221
- Avg Likes per Tweet:1,569.7
- Avg Retweets per Tweet:130.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,221 tweetsTheir tweets receive high engagement, with an average of 76,087 likes and 7,093 retweets per tweet.
1,569.7
Avg Likes/Tweet
130.5
Avg Retweets/Tweet
5,055,914
Total Likes
420,308
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
315
Median Likes
11
Median Retweets
1,093
75th Percentile
109,171
Top Tweet
2.85
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
57.0%
Original
40.9%
Replies
1.3%
Retweets
0.8%
Quotes
0.0%
Threads
0.0%
With Media
53.3%
With Links
45.4%
With #Tags
39.4%
With @Mentions
8.1%
With Emojis
78
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.72
Reply/Original Ratio
0.62
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
79.0%
Weekday Posts
21.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,221 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 42 retweets (1% 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 3,221 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 includes young adults and those interested in LGBTQ+ topics and Brazilian pop culture.
Average
Audience Quality
25.1%
Suspicion Index
33.8%
Low-Quality %
15
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.1%
Empty Bio
32.5%
<10 Tweets
5.6%
Mass Following (>2K)
0.0%
New (<90 days)
53.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.3%
No URL
23.5%
<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.
29,068,768
Total Potential Reach
15
Median Follower Reach
93
75th Percentile Reach
4.2%
>1K followers
0.5%
>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).
48.9%
Creators
24,435 accounts
18.6%
Consumers
9,324 accounts
32.5%
Dormant
16,241 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):
167
Verified Followers
0.17% of total
20,382
Protected Accounts
20.18% 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 |
|---|---|---|---|
| @naosalvo | 1,915,113 | Influencer | Humor, Memes, Satire |
| @maisbrasil | 1,230,538 | Cultural Promoter | Culture, Brazil, Valorization |
| @chicobarney | 1,046,999 | Author | books, writing, popular |
| @euclarice | 885,425 | Singer | laziness, career, relaxation |
| @DoentesPFutebol | 803,202 | Sports Blogger | Futebol, Informação, Opinião |
| @NOH8Campaign | 801,832 | Activism | equality, bullying, discrimination |
| @PaulinhoSerra | 769,991 | Comedian | politics, comedy, travel |
| @FOFOQUEl | 766,338 | Gossip Columnist | Famosos, Cobertura, Fofoquei |
| @rosana | 697,205 | Writer | Escritora, Física, Jornalista |
| @moreiraviw | 606,355 | Influencer | flat earth, daily content, contact |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
60,664
Followers With Bio
40,335
Followers Without Bio
60.06%
% With Bio
39.94%
% 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 3,221 analyzed469,956
Combined Engagement
434,030
Total Likes
35,926
Total Retweets
93,991
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
o famoso kit gay #bbb23 https://t.co/7gLHfM7ZG6
*uber falando e ferindo 18 direitos humanos por segundo* eu no banco de trás com medo de morrer: https://t.co/3WRhxRk1xn
passando mal com o material escolar da faculdade de direito da jojo toddynho https://t.co/lWLgyOgQRE
mano KKKKKKKKKK #bbb23 https://t.co/KhTTsCE1nA
caramba, o tadeu foi gigante nesse recado dele #bbb23 https://t.co/m95ZVTUNfS
Key Insights & Takeaways
They use humor to address serious topics like LGBTQ+ rights and social issues. Their content often includes personal anecdotes and critiques of everyday life. They engage with their audience through relatable and often controversial topics.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 597,497
- + 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 @paiva reveals an exceptionally influential Twitter presence with 597,497 followers. The account demonstrates a content-creator strategy, averaging 1,700.2 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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