Fabi Alvim
Perfil oficial. Bicampeã olímpica (Londres-12 e Pequim-08) Contato: [email protected]
385,179
Followers
1,138
Following
3,524
Tweets
204.0
Avg Engagement
125
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @FabiAlvim14'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:2013-06-28
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,246
- Avg Likes per Tweet:186.4
- Avg Retweets per Tweet:17.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,246 tweetsOs tweets de Fabi Alvim recebem em média 23 mil curtidas e 1,9 mil retweets, indicando um alto nível de interação. Sua capacidade de mobilizar seguidores é evidente nos dados de engajamento.
186.4
Avg Likes/Tweet
17.6
Avg Retweets/Tweet
605,029
Total Likes
57,166
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
8
Median Likes
0
Median Retweets
42
75th Percentile
58,014
Top Tweet
0.53
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
26.6%
Original
66.5%
Replies
1.8%
Retweets
5.2%
Quotes
0.0%
Threads
0.0%
With Media
20.0%
With Links
8.3%
With #Tags
74.4%
With @Mentions
35.0%
With Emojis
60
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.5
Reply/Original Ratio
2.9
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.2%
Weekday Posts
25.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,246 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 58 retweets (2% 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 3,246 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 followersSeu público é composto por seguidores interessados em direitos humanos, esportes e debates sociais. A audiência inclui apoiadores de causas LGBTQIA+ e defensores de políticas públicas.
Average
Audience Quality
20.5%
Suspicion Index
24.1%
Low-Quality %
63
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.8%
Empty Bio
18.3%
<10 Tweets
12.4%
Mass Following (>2K)
0.0%
New (<90 days)
44.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.5%
No URL
12.4%
<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.
74,859,126
Total Potential Reach
63
Median Follower Reach
256
75th Percentile Reach
7.8%
>1K followers
0.9%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
67.2%
Creators
33,623 accounts
14.5%
Consumers
7,247 accounts
18.3%
Dormant
9,130 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):
350
Verified Followers
0.35% of total
9,483
Protected Accounts
9.39% 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 |
|---|---|---|---|
| @MariliaMReal | 8,556,062 | Singer | music, royal decrees, marília mendonça |
| @geglobo | 6,370,570 | Sports Journalist | Sports, News, Entertainment |
| @Casimiro | 4,068,657 | Streamer | Vasco da Gama, Presenting, Streaming |
| @MarceloAdnet | 3,655,859 | Comediante | comediante, ator, roteirista |
| @andreolifelipe | 3,352,653 | Jornalista | Esportes, Jornalismo, Globo |
| @GilDoVigor | 3,283,495 | Economist | Economia, PhD, Forbes |
| @Alex10 | 3,201,885 | Football Coach | Futebol, Treinador, Esportes |
| @OCriador | 3,048,900 | Religious Leader | Deus, Onipresente, Onisciente |
| @cauemoura | 2,656,057 | Comedian | comedy, vlogs, humor |
| @ribasdiego10 | 1,917,295 | Footballer | Football, Flamengo, Marketing |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
49,183
Followers With Bio
51,815
Followers Without Bio
48.7%
% With Bio
51.3%
% 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 3,246 analyzed176,929
Combined Engagement
164,795
Total Likes
12,134
Total Retweets
35,386
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
20%
With Links
Topical Analysis:
Homofobia é CRIME!
Viva a vacina, viva o SUS!
Minha FAMÍLIA tem 2 mães e uma filha! Repito, minha FAMÍLIA TEM DUAS MÃES E UMA FILHA!
Tudo passa e o Flamengo vai permanecer! Flamengo sempre será o time do POVO. Quem não entende isso, não sabe o que é ser Flamengo!
Família Alvim indo agradecer ao NORDESTE! https://t.co/yKhjXSa1B7
Key Insights & Takeaways
Fabi Alvim é uma voz ativa na defesa da LGTBQIA+ e dos direitos humanos Seus tweets frequentemente abordam temas como saúde pública e igualdade Ela usa sua influência para promover mudanças sociais e políticas
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 385,179
- + 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 @FabiAlvim14 reveals an well-established Twitter presence with 385,179 followers. The account demonstrates a conversation-first approach, averaging 204.0 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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