Fernandinho
🙏🏾🙌🏾⚽️🇧🇷5️⃣
1,929,972
Followers
559
Following
5,632
Tweets
1,456.1
Avg Engagement
1,393
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @fernandinho'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: Mega Influencer (1M+)
- Account Age:2011-05-30
- Verification:No
- Location:Curitiba, Brazil
Data Summary
- Tweets Analyzed:3,180
- Avg Likes per Tweet:1,345.4
- Avg Retweets per Tweet:110.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,180 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. His content is well-received and resonates with his followers.
1,345.4
Avg Likes/Tweet
110.7
Avg Retweets/Tweet
4,278,509
Total Likes
351,908
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
11
Median Likes
11
Median Retweets
902
75th Percentile
270,414
Top Tweet
0.75
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
70.4%
Original
11.7%
Replies
15.1%
Retweets
2.9%
Quotes
0.0%
Threads
0.5%
With Media
68.4%
With Links
25.1%
With #Tags
39.2%
With @Mentions
41.3%
With Emojis
97
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.17
Reply/Original Ratio
0.19
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.5%
Weekday Posts
33.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,180 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 480 retweets (15% 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 3,180 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 followersHis audience is primarily football fans, especially those interested in Manchester City and Brazilian football. Many of his followers are likely fans of his career and personal updates.
Below Average
Audience Quality
38.4%
Suspicion Index
49.7%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
59.8%
Empty Bio
56.9%
<10 Tweets
5.8%
Mass Following (>2K)
0.0%
New (<90 days)
81.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.6%
No URL
39.5%
<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.
22,466,919
Total Potential Reach
6
Median Follower Reach
32
75th Percentile Reach
1.4%
>1K followers
0.1%
>10K followers
0.0%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
18.9%
Creators
9,454 accounts
24.2%
Consumers
12,099 accounts
56.9%
Dormant
28,447 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):
85
Verified Followers
0.08% of total
6,958
Protected Accounts
6.96% of total
2 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 |
|---|---|---|---|
| @JohnCena | 14,105,576 | Wrestler | Wrestling, Motivation, Self-promotion |
| @BBCMOTD | 3,358,152 | Football Coverage | football, coverage, follow |
| @LibertadoresBR | 1,541,646 | Sports Marketing | Soccer, South America, Prestige |
| @Brasileirao | 1,456,728 | Sports League | Football, Brazilian league, Championship |
| @edermilitao | 1,071,498 | Footballer | Football, Real Madrid, Brazil |
| @DavyJonesRJ | 747,232 | YouTuber | Gaming, Pirates, Creator |
| @Tim_Cahill | 742,300 | Athlete | Football, Education, World Cup |
| @cartolafc | 549,989 | Fantasy Game | Fantasy Game, Campeonato Brasileiro, Cartola |
| @Moreno | 430,163 | Influencer | Business, Manager, Serious |
| @ZimEye | 417,322 | Journalist | Zimbabwe, Africa, Journalism |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
50,220
Followers With Bio
49,780
Followers Without Bio
50.22%
% With Bio
49.78%
% 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 3,180 analyzed568,629
Combined Engagement
527,026
Total Likes
41,603
Total Retweets
113,726
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
This is the tweet. Just need to change one word. 🙏🏾 https://t.co/FGSS01VFLY
Eu não falei que ia voltar? 🌪❤️ https://t.co/Ke7caVGhT8
That's the spirit of Man City. You never give up! You always fight until the end. It happened ten years ago and it happened again. 💙 CHAMPIONS! 💪🏾💪🏾💪🏾🙏🏾🙏🏾🙏🏾
Love you all! 💙 https://t.co/08JusFCDeA
Open letter to @ManCity 💙 https://t.co/MyTvtHcnXX
Key Insights & Takeaways
He uses emojis and hashtags to connect with his audience and express his emotions. His tweets often include links to articles or messages, showing his engagement with broader football discussions. He frequently references his football career and team loyalty, which strengthens his personal brand.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,929,972
- + 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 @fernandinho reveals an exceptionally influential Twitter presence with 1,929,972 followers. The account demonstrates a content-creator strategy, averaging 1,456.1 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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