N'Golo Kanté
Milieu de terrain @ChelseaFC & @Equipedefrance
1,041,695
Followers
173
Following
198
Tweets
13,124.9
Avg Engagement
1,502
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @nglkante'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:2016-05-25
- Verification:No
- Location:London, England
Data Summary
- Tweets Analyzed:196
- Avg Likes per Tweet:10,430.8
- Avg Retweets per Tweet:2,694.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 196 tweetsThe account has a high average number of likes and retweets, indicating strong audience interaction. The content is well-received and resonates with the followers.
10,430.8
Avg Likes/Tweet
2,694.1
Avg Retweets/Tweet
2,044,443
Total Likes
528,047
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
498
Median Likes
712
Median Retweets
12,744
75th Percentile
432,387
Top Tweet
12.6
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
51.5%
Original
7.1%
Replies
38.8%
Retweets
2.6%
Quotes
0.0%
Threads
1.0%
With Media
82.7%
With Links
53.6%
With #Tags
80.1%
With @Mentions
29.1%
With Emojis
109
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.14
Reply/Original Ratio
0.07
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
59.7%
Weekday Posts
40.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 196 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 76 retweets (39% 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 196 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 consists of passionate French football fans and supporters of the national team. They are likely interested in updates, victories, and team-related content.
Average
Audience Quality
25.6%
Suspicion Index
30.1%
Low-Quality %
19
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.3%
Empty Bio
30.0%
<10 Tweets
6.2%
Mass Following (>2K)
0.0%
New (<90 days)
60.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.6%
No URL
17.9%
<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.
30,427,003
Total Potential Reach
19
Median Follower Reach
86
75th Percentile Reach
3.5%
>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).
40.0%
Creators
20,017 accounts
30.0%
Consumers
14,992 accounts
30.0%
Dormant
14,991 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):
151
Verified Followers
0.15% of total
7,162
Protected Accounts
7.16% 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 |
|---|---|---|---|
| @JohnCena | 14,105,326 | Wrestler | Wrestling, Motivation, Self-promotion |
| @adidasfootball | 4,046,691 | Sports Brand | Sport, Change, Power |
| @ElAhlyToDay74 | 2,174,228 | Sports journalist | Sports, Al Ahly, Magazine |
| @Ligue1_ENG | 1,043,646 | Sports Media | Football, French league, Champions Trophy |
| @cpulisic_10 | 849,893 | - | - |
| @so_mkb | 487,635 | Influencer | Humor, Time-passing, Partnership |
| @Moreno | 430,222 | Influencer | Business, Manager, Serious |
| @Goddie_Ke | 413,749 | Journalist | Journalism, Storytelling, Digital Strategy |
| @maman1965 | 397,637 | Penulis | Penulis, Pemulung, Manager |
| @BadManBetting | 384,020 | Betting Tipster | Sports betting, Research, Community |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
62,269
Followers With Bio
37,731
Followers Without Bio
62.27%
% With Bio
37.73%
% 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 196 analyzed954,560
Combined Engagement
776,683
Total Likes
177,877
Total Retweets
190,912
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
40%
With @Mentions
100%
With Links
Topical Analysis:
World Champion 👍🏽 #fiersdetrebleus 🇫🇷 🔵⚪️🔴 https://t.co/eIwEqgFrzb
Moment magique avec tous les fans, les coéquipiers, le coach et le staff. Vraiment un grand Merci. Fier d’être bleu! #fierdetrebleu @equipedefrance @FFF https://t.co/s0aQDWXPlU
#fiersdetrebleus 🇫🇷 🔵⚪️🔴 https://t.co/tbMIRfBFrP
Thank you Coach! All the best for the futur. https://t.co/glB0BXIEWi
We did it! A new season with @ChelseaFC and a new trophy for our great fans. Thanks to all for the support. #cfc 🔵🔵 https://t.co/YP17Bgln7O
Key Insights & Takeaways
The user is highly engaged with the French national team and its achievements. Content is focused on celebrating victories and expressing pride. The use of hashtags and team colors indicates a strong brand identity.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,041,695
- + 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 @nglkante reveals an exceptionally influential Twitter presence with 1,041,695 followers. The account demonstrates a content-creator strategy, averaging 13,124.9 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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