FC Bayern Brasil
Conta oficial em português do #FCBayern | #MiaSanMia | Alemão: @FCBayern | Inglês: @FCBayernEN | Espanhol: @FCBayernES | EUA: @FCBayernUS | Árabe: @FCBayernAr
92,541
Followers
512
Following
17,219
Tweets
273.4
Avg Engagement
74
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @FCBayernBR'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:2021-07-09
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,242
- Avg Likes per Tweet:246.1
- Avg Retweets per Tweet:27.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,242 tweetsThe account has high average likes and retweets, indicating strong fan interaction and interest in the content shared.
246.1
Avg Likes/Tweet
27.3
Avg Retweets/Tweet
797,866
Total Likes
88,629
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
71
Median Likes
3
Median Retweets
155
75th Percentile
92,973
Top Tweet
2.95
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
68.6%
Original
17.6%
Replies
8.3%
Retweets
5.6%
Quotes
0.0%
Threads
0.0%
With Media
62.7%
With Links
54.4%
With #Tags
39.6%
With @Mentions
70.2%
With Emojis
79
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.26
Reply/Original Ratio
0.67
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
59.4%
Weekday Posts
40.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,242 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 269 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 3,242 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 followersThe audience includes Brazilian fans of FC Bayern and possibly fans of other teams mentioned, such as Flamengo and Vasco.
Average
Audience Quality
33.1%
Suspicion Index
46.9%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
54.6%
Empty Bio
50.3%
<10 Tweets
3.1%
Mass Following (>2K)
0.0%
New (<90 days)
69.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.7%
No URL
39.3%
<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.
1,823,349
Total Potential Reach
4
Median Follower Reach
38
75th Percentile Reach
2.3%
>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).
33.5%
Creators
3,351 accounts
16.2%
Consumers
1,623 accounts
50.3%
Dormant
5,026 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):
11
Verified Followers
0.11% of total
1,300
Protected Accounts
13.0% 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 |
|---|---|---|---|
| @ManCityPT | 258,322 | Football Club | Football, Manchester City, Portuguese |
| @CentralDoBrega | 173,609 | Fan Account | Bragantino, humor, parceria |
| @FutebolBoomers | 126,634 | Football Memes | Football, Boomer, Images |
| @riccagol | 58,596 | - | - |
| @VoceGanharia | 47,969 | Comedy Sketches | luta, personagens, porradaria |
| @sobrerinthians | 27,250 | - | - |
| @365ScoresBR | 21,723 | - | - |
| @Haronfrance | 17,467 | - | - |
| @BayernTimes | 16,578 | - | - |
| @futebol_pais | 14,262 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,541
Followers With Bio
5,459
Followers Without Bio
45.41%
% With Bio
54.59%
% 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 3,242 analyzed279,338
Combined Engagement
249,545
Total Likes
29,793
Total Retweets
55,868
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
40%
With @Mentions
60%
With Links
Topical Analysis:
PRIMEIRA CHOUPADA DO ANO!
Vasco
Parabéns, @Flamengo 👊 #FLA127 @esmuellert_ https://t.co/IhD1HJLmMc
🎥 @esmuellert_ 🎁 @kingarturo23 👕🎂 #FLA127 | @Flamengo https://t.co/EaNjvXm1Y8
CHOUPO TODO DIA! 🔥 CHOUPO TODA SEMANA! 🔥🔥 CHOUPO TODO MÊS! 🔥🔥🔥 https://t.co/NoF4tfiRqG
Key Insights & Takeaways
The account frequently interacts with other teams and fans, showing a collaborative approach. It uses hashtags and mentions to increase visibility and engagement. The content often includes highlights and celebrations, which resonate well with the audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 92,541
- + 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 @FCBayernBR reveals an well-established Twitter presence with 92,541 followers. The account demonstrates a content-creator strategy, averaging 273.4 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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