Filipe Cavalcante
Ator e dublador Carioca morando em SP🏬
101,913
Followers
602
Following
17,598
Tweets
108.5
Avg Engagement
50
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @filipeator'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:2009-06-11
- Verification:No
- Location:Sao Paulo, Brazil
Data Summary
- Tweets Analyzed:3,170
- Avg Likes per Tweet:3.2
- Avg Retweets per Tweet:105.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,170 tweetsHis tweets typically receive around 93 likes and 19 retweets on average, indicating moderate engagement.
3.2
Avg Likes/Tweet
105.3
Avg Retweets/Tweet
10,242
Total Likes
333,834
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
4
75th Percentile
102,318
Top Tweet
1.07
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
32.6%
Original
38.7%
Replies
8.0%
Retweets
20.8%
Quotes
0.0%
Threads
0.3%
With Media
38.4%
With Links
11.9%
With #Tags
60.9%
With @Mentions
35.1%
With Emojis
59
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.19
Reply/Original Ratio
2.6
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
63.7%
Weekday Posts
36.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,170 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 253 retweets (8% 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 3,170 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 10,000 followersHis audience likely includes fans of Brazilian entertainment and those interested in acting and dubbing.
Average
Audience Quality
32.3%
Suspicion Index
32.3%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
30.4%
Empty Bio
51.8%
<10 Tweets
5.6%
Mass Following (>2K)
0.0%
New (<90 days)
75.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.7%
No URL
34.3%
<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.
2,663,843
Total Potential Reach
6
Median Follower Reach
34
75th Percentile Reach
1.6%
>1K followers
0.1%
>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).
24.7%
Creators
2,469 accounts
23.5%
Consumers
2,349 accounts
51.8%
Dormant
5,182 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):
2
Verified Followers
0.02% of total
972
Protected Accounts
9.72% of total
4 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 |
|---|---|---|---|
| @TVZYN | 711,648 | Content Creator | games, entrevistas, bastidores |
| @ParisFilmes | 338,422 | Film Distributor | Filmes, Brasil, Cinema |
| @euamandafurtado | 289,907 | Gamer | gaming, streaming, influencing |
| @esthermarcos | 172,786 | Actress | JESUS, Instagram, YouTube |
| @FebreTeen | 106,593 | Entertainment | culture pop, teen, Brazil |
| @jessevoid | 77,768 | Musician | Gaming, Anime, Music |
| @CombateCancer | 53,345 | Healthcare | - |
| @MARSxBLUD | 50,421 | - | - |
| @mundodabel | 45,365 | - | - |
| @bertoloira | 17,635 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,960
Followers With Bio
3,040
Followers Without Bio
69.6%
% With Bio
30.4%
% 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 3,170 analyzed231,758
Combined Engagement
0
Total Likes
231,758
Total Retweets
46,352
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @Anitta: Gennnnnnnteeee, hoje eu fui completamente inútil ao meu país, não fiz NADA o dia inteiro hahaha
RT @BrunoMars: No words can describe how I feel about what happened in Manchester. I don't wanna believe that the world we live in could be so cruel.
RT @wbpictures: Repost from #toddphillips1: Camera test (w/ sound). Joker. https://t.co/R9W2QqKwNS
RT @Flamengo: É CAMPEÃO!!! SOLTA O GRITO, NAÇÃO! O Mais Cotado nos Fla-Flus levantou a taça do Campeonato Carioca pela 34ª vez e segue o #MaiorDoRio https://t.co/ZFaZq4iilJ
RT @SF_Moro: Festa da democracia. Povo manifestando-se em apoio ao Pr Bolsonaro, Nova Previdência e ao Pacote anticrime. Sem pautas autoritárias. Povo na rua é democracia. Com povo e Congresso, avançaremos. Gratidão. #Brasil.
Key Insights & Takeaways
He often shares personal moments and interactions with other creators, which may help build a closer connection with his audience. His content includes links to videos or projects, suggesting he uses Twitter to promote his work. He engages with his followers by responding to comments and participating in discussions.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 101,913
- + 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 @filipeator reveals an well-established Twitter presence with 101,913 followers. The account demonstrates a conversation-first approach, averaging 108.5 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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