Fabio Da Silva
Football player, a friend, happy, in harmony with life.
99,102
Followers
280
Following
1,009
Tweets
597.7
Avg Engagement
144
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Ofabio3'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: Mid-Tier (10K+)
- Account Age:2014-12-27
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:1,009
- Avg Likes per Tweet:398.7
- Avg Retweets per Tweet:199.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 1,009 tweetsHis tweets receive high engagement with likes and retweets, indicating a loyal and active fan base. The use of hashtags and mentions helps boost interaction.
398.7
Avg Likes/Tweet
199.0
Avg Retweets/Tweet
402,291
Total Likes
200,761
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
17
Median Likes
5
Median Retweets
248
75th Percentile
74,619
Top Tweet
6.03
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
46.1%
Original
21.9%
Replies
21.5%
Retweets
10.5%
Quotes
0.0%
Threads
0.7%
With Media
67.1%
With Links
18.6%
With #Tags
53.6%
With @Mentions
61.1%
With Emojis
105
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.48
Reply/Original Ratio
0.49
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.1%
Weekday Posts
30.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,009 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 217 retweets (22% 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 1,009 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 includes football fans and followers interested in sports and personal stories. The content appeals to a broad demographic due to its lighthearted and relatable nature.
Average
Audience Quality
25.9%
Suspicion Index
26.3%
Low-Quality %
32
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.7%
Empty Bio
27.5%
<10 Tweets
12.6%
Mass Following (>2K)
0.0%
New (<90 days)
61.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.2%
No URL
17.0%
<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.
4,934,587
Total Potential Reach
32
Median Follower Reach
135
75th Percentile Reach
4.5%
>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).
48.0%
Creators
4,798 accounts
24.5%
Consumers
2,453 accounts
27.5%
Dormant
2,749 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):
21
Verified Followers
0.21% of total
826
Protected Accounts
8.26% 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 |
|---|---|---|---|
| @ericfaria74 | 589,950 | Runner | Correr, Felicidade, Viver |
| @Moreno | 430,936 | Influencer | Business, Manager, Serious |
| @jazminmzz1 | 197,021 | Animal lover | Animales, Amor, No juzgar |
| @Amos_40 | 177,681 | Goalkeeper | Football, Goalkeeping, Sports Marketing |
| @R_o_M | 142,749 | Sports Writer | Manchester United, Football, Anti-racism |
| @RMPoficial | 109,624 | Journalist | Flamengo, Esportes, Cães |
| @brunomaquiny | 109,242 | Entrepreneur | Technology, Innovation, Entrepreneurship |
| @UtdWesleyy | 89,849 | - | - |
| @brauneoficial | 89,262 | Journalist | Journalism, Teresópolis, Niterói |
| @DavidMay04 | 88,360 | Sports Analyst | Football, Manchester United, Sports |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,431
Followers With Bio
3,569
Followers Without Bio
64.31%
% With Bio
35.69%
% 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 1,009 analyzed156,240
Combined Engagement
56,979
Total Likes
99,261
Total Retweets
31,248
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
RT @KingJames: Is the media showing this??? I bet you they aren’t. 🤦🏾♂️. This is beautiful https://t.co/rKPuTIz7bC
Uma do Lyon e do Nantes tbm #ForaManu https://t.co/YggTViNaLU
RT @FCNantes: Où que tu sois, on pense à toi 💛 #PrayForSala https://t.co/vloUL3yMyc
I don’t forget United too ❤️❤️😄
17 years ago, together forever @orafa2 🤝 https://t.co/2iwmgEyLOd
Key Insights & Takeaways
He leverages football clubs and personal connections to drive engagement His content is casual and relatable, encouraging emotional responses He uses humor and nostalgia to connect with his audience
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 99,102
- + 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 @Ofabio3 reveals an well-established Twitter presence with 99,102 followers. The account demonstrates a content-creator strategy, averaging 597.7 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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