fabrice muamba
⚽️ Former Premier League Player Enquire:jason@fam-sports.com
439,502
Followers
390
Following
9,190
Tweets
419.3
Avg Engagement
1,086
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @fmuamba6'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:2009-09-28
- Verification:No
- Location:Worldwide
Data Summary
- Tweets Analyzed:3,239
- Avg Likes per Tweet:214.6
- Avg Retweets per Tweet:204.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,239 tweetsThe account maintains high engagement levels, with a consistent average of likes and retweets. The content is relatable and often sparks conversation around important issues.
214.6
Avg Likes/Tweet
204.8
Avg Retweets/Tweet
695,047
Total Likes
663,205
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
11
Median Likes
1
Median Retweets
47
75th Percentile
307,277
Top Tweet
0.95
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
62.5%
Original
30.1%
Replies
5.6%
Retweets
1.9%
Quotes
0.0%
Threads
0.4%
With Media
25.3%
With Links
25.5%
With #Tags
49.7%
With @Mentions
14.6%
With Emojis
70
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.48
Reply/Original Ratio
0.33
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
62.4%
Weekday Posts
37.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,239 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 180 retweets (6% 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 3,239 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 audience is likely sports fans, former players, and individuals interested in health and safety topics. They are engaged with content that highlights real-life experiences and social responsibility.
Average
Audience Quality
21.8%
Suspicion Index
24.1%
Low-Quality %
97
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.2%
Empty Bio
15.3%
<10 Tweets
19.6%
Mass Following (>2K)
0.0%
New (<90 days)
43.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.0%
No URL
9.0%
<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.
112,013,401
Total Potential Reach
97
Median Follower Reach
298
75th Percentile Reach
7.9%
>1K followers
1.0%
>10K followers
0.4%
>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).
65.9%
Creators
32,954 accounts
18.8%
Consumers
9,378 accounts
15.3%
Dormant
7,668 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):
694
Verified Followers
0.69% of total
11,560
Protected Accounts
11.45% of total
9 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 |
|---|---|---|---|
| @FabrizioRomano | 14,463,803 | Journalist | Football, Transfers, News |
| @JohnCena | 14,104,449 | Wrestler | Wrestling, Motivation, Self-promotion |
| @GordonRamsay | 7,698,193 | Chef | Cooking, Food, Restaurants |
| @tarajiphenson | 5,472,497 | Actress | Acting, Motherhood, Mental Health |
| @RailaOdinga | 4,270,192 | Politician | Politics, Infrastructure, Africa |
| @VincentKompany | 2,993,138 | Football Manager | Football, Management, Charity |
| @Variety | 2,911,537 | Entertainment industry | Entertainment, Business, Variety |
| @Hadithoftheday | 2,719,802 | Inspirational Speaker | space travel, tennis, cooking |
| @youngy18 | 2,660,739 | Footballer | football, Instagram, AVFC |
| @kipmurkomen | 2,558,512 | Politician | Family, Leadership, Art |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
55,036
Followers With Bio
45,963
Followers Without Bio
54.49%
% With Bio
45.51%
% 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 3,239 analyzed628,230
Combined Engagement
335,401
Total Likes
292,829
Total Retweets
125,646
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
Please God
RT @RGIII: Please don’t share the video of the Damar Hamlin play. Share this because we are all Praying for him and his family. https://t.c…
RT @BukayoSaka87: https://t.co/KAibQRYH2T
https://t.co/ZSaHJs6QOt
RT @MarcusRashford: We aren’t beaten yet, stand strong for the 200,000 children who haven’t had a meal to eat today and keep retweeting 🗣 #…
Key Insights & Takeaways
The account uses personal stories to highlight real-world issues Content often emphasizes public safety and health awareness Engagement is driven by emotional and relatable messages
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 439,502
- + 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 @fmuamba6 reveals an well-established Twitter presence with 439,502 followers. The account demonstrates a content-creator strategy, averaging 419.3 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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