Benjamin Mendy
@ManCity @Equipedefrance / @adidasfootball athlete | #BM22 🦈
1,414,553
Followers
232
Following
6,698
Tweets
4,941.9
Avg Engagement
1,388
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @benmendy23'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:2011-11-30
- Verification:No
- Location:Manchester, England
Data Summary
- Tweets Analyzed:3,166
- Avg Likes per Tweet:3,281.1
- Avg Retweets per Tweet:1,660.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,166 tweetsHis tweets receive high engagement, with an average of 85,230 likes and 31,152 retweets per post. He frequently interacts with other athletes and public figures, boosting his visibility.
3,281.1
Avg Likes/Tweet
1,660.7
Avg Retweets/Tweet
10,388,095
Total Likes
5,257,874
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
67
Median Likes
333
Median Retweets
4,241
75th Percentile
213,364
Top Tweet
3.49
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
27.1%
Original
25.8%
Replies
42.2%
Retweets
4.9%
Quotes
0.0%
Threads
0.6%
With Media
46.2%
With Links
31.5%
With #Tags
79.4%
With @Mentions
65.9%
With Emojis
79
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.95
Reply/Original Ratio
0.12
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
64.2%
Weekday Posts
35.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,166 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 1,337 retweets (42% 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 3,166 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 followers include football fans, athletes, and individuals interested in sports and entertainment. The audience is primarily male, with a strong interest in football and pop culture.
Average
Audience Quality
31.8%
Suspicion Index
34.9%
Low-Quality %
11
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40.6%
Empty Bio
44.2%
<10 Tweets
8.7%
Mass Following (>2K)
0.0%
New (<90 days)
71.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.5%
No URL
29.2%
<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.
25,904,657
Total Potential Reach
11
Median Follower Reach
65
75th Percentile Reach
2.7%
>1K followers
0.2%
>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).
30.0%
Creators
15,002 accounts
25.8%
Consumers
12,900 accounts
44.2%
Dormant
22,098 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):
99
Verified Followers
0.1% of total
6,537
Protected Accounts
6.54% of total
3 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 |
|---|---|---|---|
| @10Ronaldinho | 21,585,857 | Footballer | Football, Legend, Skills |
| @JohnCena | 14,105,103 | Wrestler | Wrestling, Motivation, Self-promotion |
| @MichelPesquera | 1,906,284 | Adventurer | Mountaineer, MTB, Scuba diver |
| @SkySportDE | 511,719 | Sports News | Sports, News, Updates |
| @so_mkb | 487,471 | Influencer | Humor, Time-passing, Partnership |
| @Moreno | 430,155 | Influencer | Business, Manager, Serious |
| @MHDOfficiel | 377,455 | Musician | Music, Fashion, Lifestyle |
| @scherargei | 294,526 | Politician | Politics, Law, Leadership |
| @JulianMarley | 272,459 | Musician | Reggae, Music, Family |
| @GOALAfrica | 171,853 | Media | Football, Africa, Development |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
59,225
Followers With Bio
40,775
Followers Without Bio
59.23%
% With Bio
40.77%
% 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 3,166 analyzed913,737
Combined Engagement
373,400
Total Likes
540,337
Total Retweets
182,747
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
@Sporf @equipedefrance @iamnzonzi15 @paulpogba @AntoGriezmann @nglkante @CorentinTolisso @NabilFekir @samumtiti @MATUIDIBlaise 🇫🇷 Pogba 🇫🇷 Tolisso 🇫🇷 Mendy 🇫🇷 Umtiti 🇫🇷 Rami 🇫🇷 Fekir 🇫🇷 Kimpembe 🇫🇷 N’Zonzi 🇫🇷 Matuidi 🇫🇷 Mandanda 🇫🇷 Sidibe 🇫🇷 Kante 🇫🇷 Lloris 🇫🇷 Hernández 🇫🇷 Dembel
RT @FloydMayweather: 50 - 0
Ahaha you dont have TV last year @EASPORTSFIFA ?? 78 really ?!! 🤷🏾♂️🤷🏾♂️🤷🏾♂️ https://t.co/SurU939kL4
On dab paaaas noooouuuus @EmmanuelMacron ❤️🇫🇷😂 @paulpogba @equipedefrance https://t.co/PRtsGKABOS
RT @ibfk2014: ✊🏻✊🏿 NO TO RACISM | #Respect https://t.co/Ic1BzfANoi
Key Insights & Takeaways
He uses humor and sarcasm to engage his audience and create relatability. His tweets often reference football and politics, indicating a blend of personal and public interests. He leverages his celebrity status to interact with fans and other athletes, enhancing his online presence.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,414,553
- + 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 @benmendy23 reveals an exceptionally influential Twitter presence with 1,414,553 followers. The account demonstrates a content-creator strategy, averaging 4,941.9 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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