Florent MALOUDA
https://linktr.ee/fmalouda French International Football Player @fff @chelseafc @Ol @trabzonspor
484,855
Followers
354
Following
5,702
Tweets
264.1
Avg Engagement
2,056
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @realflorentm'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:2010-02-10
- Verification:No
- Location:WORLD
Data Summary
- Tweets Analyzed:3,131
- Avg Likes per Tweet:48.4
- Avg Retweets per Tweet:215.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,131 tweetsHis tweets consistently receive high likes and retweets, indicating strong audience interaction. The engagement suggests a loyal and active fan base interested in his perspectives.
48.4
Avg Likes/Tweet
215.7
Avg Retweets/Tweet
151,568
Total Likes
675,284
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
7
Median Retweets
43
75th Percentile
65,364
Top Tweet
0.54
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
27.2%
Original
7.5%
Replies
62.9%
Retweets
2.4%
Quotes
0.0%
Threads
1.4%
With Media
69.5%
With Links
51.5%
With #Tags
77.3%
With @Mentions
24.0%
With Emojis
109
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.28
Reply/Original Ratio
0.04
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.7%
Weekday Posts
31.3%
Weekend Posts
Top Hashtags
Most Mentioned
Want This Report as PDF?
We're building PDF export for these analytics reports. Register your interest to get early access.
Content Strategy Analysis
Based on 3,131 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 1,968 retweets (63% 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 3,131 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 includes football fans, supporters of his clubs, and followers interested in sports commentary. The content appeals to both casual and dedicated football enthusiasts.
Average
Audience Quality
30.9%
Suspicion Index
36.7%
Low-Quality %
29
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
49.2%
Empty Bio
36.5%
<10 Tweets
15.2%
Mass Following (>2K)
0.0%
New (<90 days)
63.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.7%
No URL
24.2%
<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.
86,395,424
Total Potential Reach
29
Median Follower Reach
126
75th Percentile Reach
4.0%
>1K followers
0.5%
>10K followers
0.2%
>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).
40.2%
Creators
20,087 accounts
23.3%
Consumers
11,638 accounts
36.5%
Dormant
18,275 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):
239
Verified Followers
0.24% of total
5,317
Protected Accounts
5.32% of total
8 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 | 14,104,984 | Wrestler | Wrestling, Motivation, Self-promotion |
| @cuppymusic | 5,771,270 | DJ | Music, DJing, Philanthropy |
| @midoahm | 5,544,867 | Entrepreneur | Dogs, Father, Founder |
| @trikaofficial | 5,035,134 | Footballer | Football, Egypt, Player |
| @Benayadachraf | 3,486,066 | Unknown | Technology, Innovation, Entrepreneurship |
| @ElHadary | 2,655,125 | Goalkeeper | Football, Goalkeeping, Egypt |
| @Oficial_RC3 | 2,497,299 | Sports Director | Real Madrid, Ambassador, UEFA Youth League |
| @DanielSturridge | 2,322,384 | Footballer | Football, Nike, Music |
| @6BillionPeople | 2,036,426 | - | - |
| @chris_kammy | 1,898,986 | Football pundit | Football, TV, Singing |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
32,289
Followers With Bio
67,711
Followers Without Bio
32.29%
% With Bio
67.71%
% 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.
Buy Follower Data
Export full follower list with profile details, bios, locations, and follower counts as CSV.
Buy Followers - from $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,131 analyzed226,213
Combined Engagement
0
Total Likes
226,213
Total Retweets
45,243
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @OmarSy: "ENSEMBLE, TOUT EST POSSIBLE" À vous de jouer ! #LoveArmyForRohingya https://t.co/b7b6sxLjfD
RT @CNN: "Let me be clear tonight. The people of Haiti have been through more... withstood more -- they've fought back against more injusti…
RT @gerardcollomb: Le lieutenant-colonel Arnaud Beltrame nous a quittés. Mort pour la patrie. Jamais la France n’oubliera son héroïsme, sa…
RT @KMbappe: Le danger des paris en ligne… ne plus avoir de limite. Un peu de respect svp 🤦🏽♂️🤬 @WinamaxSport https://t.co/7Wj5jbBdPL
RT @ChelseaFC: FULL-TIME: @ChelseaFC 1-0 Crystal Palace! WE ARE PREMIER LEAGUE CHAMPIONS!!! #alltheway http://t.co/tpVF3KXTHe
Key Insights & Takeaways
He emphasizes the importance of unity and fan support in football He often shares personal reflections on his career and experiences He highlights the role of fans in the success and culture of football
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 484,855
- + 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 @realflorentm reveals an well-established Twitter presence with 484,855 followers. The account demonstrates a content-creator strategy, averaging 264.1 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.
Need Programmatic Access?
We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.
Register Interest for API Access