🇺🇸 FC Bayern US 🇨🇦
Mia San Mia! EN: @FCBayernEN | ES: @FCBayernES | DE: @FCBayern | BR: @FCBayernBR | AR: @FCBayernAR | Women's Team: @FCBfrauen | Youth: @FCBayernCampus
816,636
Followers
2,149
Following
108,373
Tweets
348.7
Avg Engagement
1,086
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @FCBayernUS'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:2015-01-08
- Verification:No
- Location:NYC-USA
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:310.9
- Avg Retweets per Tweet:37.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,249 tweetsTweets typically receive high likes and retweets, with a focus on celebratory and event-related content. The use of hashtags and multimedia enhances user interaction and visibility.
310.9
Avg Likes/Tweet
37.8
Avg Retweets/Tweet
1,010,177
Total Likes
122,894
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
144
Median Likes
10
Median Retweets
378
75th Percentile
86,997
Top Tweet
0.43
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
58.9%
Original
24.0%
Replies
16.2%
Retweets
1.0%
Quotes
0.0%
Threads
0.5%
With Media
61.2%
With Links
57.7%
With #Tags
45.2%
With @Mentions
67.4%
With Emojis
73
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.41
Reply/Original Ratio
0.06
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.4%
Weekday Posts
33.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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 525 retweets (16% 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 3,249 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 primary audience includes FC Bayern fans in the US and Spanish-speaking communities. The content appeals to both casual fans and those interested in the club's youth and women's teams.
Below Average
Audience Quality
45.0%
Suspicion Index
67.5%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
73.8%
Empty Bio
75.1%
<10 Tweets
2.6%
Mass Following (>2K)
0.0%
New (<90 days)
87.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.2%
No URL
61.2%
<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.
3,350,624
Total Potential Reach
2
Median Follower Reach
10
75th Percentile Reach
0.6%
>1K followers
0.0%
>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).
9.8%
Creators
4,888 accounts
15.1%
Consumers
7,572 accounts
75.1%
Dormant
37,540 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):
51
Verified Followers
0.05% of total
7,228
Protected Accounts
7.23% of total
1 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 |
|---|---|---|---|
| @Badstuber | 785,149 | - | - |
| @uninterrupted | 474,732 | Athlete Empowerment | Athlete empowerment, Brand founders, MoreThanAnAthlete |
| @Moreno | 430,288 | Influencer | Business, Manager, Serious |
| @DaniilMedwed | 295,087 | Tennis Player | Tennis, Russia, Business |
| @Dr_Rafizadeh | 122,336 | Political Analyst | Politics, Business, Science |
| @iDiskiTimes | 111,130 | Sports News | SA football, news, reliable |
| @jhanepelicano | 74,089 | Inspirational Speaker | Kindness, Empathy, Respect |
| @BenjaminCGeorge | 58,755 | Writer | Technology, Innovation, Entrepreneurship |
| @Cavah_LeroySane | 43,597 | - | - |
| @ADABET_iO | 41,961 | Sports Betting | Sports, Blockchain, Betting |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
25,760
Followers With Bio
74,240
Followers Without Bio
25.76%
% With Bio
74.24%
% 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 3,249 analyzed155,100
Combined Engagement
133,952
Total Likes
21,148
Total Retweets
31,020
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
40%
With @Mentions
80%
With Links
Topical Analysis:
Hello again, Barcelona. 👋 #UCLdraw https://t.co/qRxTCnX86m
Sadio is always finding the back of the net. 😅 #MiaSanMia https://t.co/cnGLXTFzKG
Thomas Müller is wishing @Flamengo_en a happy birthday. So should you! 🥳🎉 #MiaSanMia https://t.co/PA2W7AkDsJ
https://t.co/s4gVhrzQEh
RT @FCBayernEN: FC Bayern is deeply saddened by the tragedy at the Kanjuruhan Stadium in Indonesia and rejects all acts of violence. Our h…
Key Insights & Takeaways
High engagement is driven by event-related and celebratory content. Multilingual content and team-specific accounts help expand reach. Use of hashtags and multimedia increases visibility and interaction.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 816,636
- + 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 @FCBayernUS reveals an well-established Twitter presence with 816,636 followers. The account demonstrates a content-creator strategy, averaging 348.7 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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