rapha
humor e piadas de procedência duvidosa | Comercial: [email protected]
234,119
Followers
1,516
Following
49,083
Tweets
3,731.8
Avg Engagement
162
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @raphaelviicente'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:2014-02-26
- Verification:No
- Location:Complexo da Maré, RJ
Data Summary
- Tweets Analyzed:2,842
- Avg Likes per Tweet:2,246.7
- Avg Retweets per Tweet:1,485.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,842 tweetsHis tweets receive high engagement, with an average of 162,223 likes and 25,126 retweets per tweet.
2,246.7
Avg Likes/Tweet
1,485.1
Avg Retweets/Tweet
6,385,207
Total Likes
4,220,684
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
16
Median Likes
0
Median Retweets
1,110
75th Percentile
433,319
Top Tweet
15.94
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
17.0%
Original
66.6%
Replies
13.1%
Retweets
3.2%
Quotes
0.0%
Threads
0.0%
With Media
20.9%
With Links
2.6%
With #Tags
78.6%
With @Mentions
10.4%
With Emojis
69
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.91
Reply/Original Ratio
0.25
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
77.6%
Weekday Posts
22.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,842 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 372 retweets (13% 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 2,842 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 primarily consists of Brazilian users interested in humor, politics, and social issues.
Good
Audience Quality
14.8%
Suspicion Index
19.3%
Low-Quality %
86
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
32.2%
Empty Bio
10.2%
<10 Tweets
8.0%
Mass Following (>2K)
0.0%
New (<90 days)
33.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
82.9%
No URL
6.4%
<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.
65,156,802
Total Potential Reach
86
Median Follower Reach
305
75th Percentile Reach
9.0%
>1K followers
1.0%
>10K followers
0.3%
>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).
76.9%
Creators
38,452 accounts
12.9%
Consumers
6,435 accounts
10.2%
Dormant
5,113 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):
163
Verified Followers
0.16% of total
19,476
Protected Accounts
19.29% of total
6 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 |
|---|---|---|---|
| @multishow | 7,460,397 | Entertainment | Entertainment, Music, TV |
| @IzaReal | 5,113,676 | Singer | Music, Singer, Songwriter |
| @frasesdebebada | 4,343,311 | Influencer | Alcohol, Humor, Influencer |
| @gshow | 2,563,431 | Entertainment | Farofa, Sol, Fogo |
| @gioewbank | 2,244,801 | Presenter | Apresentadora, atriz, mãe |
| @GarotaCiume | 2,223,069 | Influencer | Relationships, Love, Humor |
| @ouiIudido | 1,876,431 | Influencer | N/A |
| @gusrochaa | 1,792,799 | Influencer | friendship, email, Brazil |
| @nilmoretto | 1,779,513 | Jornalista | Journalism, Content Creation, Nerd Culture |
| @LoiraNoob | 1,755,254 | YouTuber | Gaming, Photography, Live streaming |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
69,674
Followers With Bio
31,308
Followers Without Bio
69.0%
% With Bio
31.0%
% 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 2,842 analyzed1,557,206
Combined Engagement
969,582
Total Likes
587,624
Total Retweets
311,441
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
RT @LulaOficial: Democracia. https://t.co/zvnBbnQ3HG
O LULA N PODE PERDER MEU DEUS EU TIREI ONDA COM A CARA DE MUITA GENTE https://t.co/lI6oM2YBLB
o bolsonaro fala desses 600 reais como se tivesse dado o prêmio da mega sena pra cada habitante do brasil
como é viver com um cachorro homofobic0 😭 https://t.co/d7SgFq6VXM
A democratização do cinema no Brasil (Enem 2019) https://t.co/7hk4NKKsCr
Key Insights & Takeaways
His content often touches on political topics, which drives significant engagement He uses humor and personal stories to connect with his audience His tweets frequently include links to external content, suggesting a mix of entertainment and commentary
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 234,119
- + 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 @raphaelviicente reveals an exceptionally influential Twitter presence with 234,119 followers. The account demonstrates a conversation-first approach, averaging 3,731.8 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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