Presnel Kimpembe
📌 @psg_inside / @equipedefrance ⚽️ @nikefootball 📩 [email protected]
629,565
Followers
173
Following
1,058
Tweets
4,165.2
Avg Engagement
453
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @kimpembe_3'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:2017-04-22
- Verification:No
- Location:Paris, France
Data Summary
- Tweets Analyzed:1,030
- Avg Likes per Tweet:3,298.6
- Avg Retweets per Tweet:866.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,030 tweetsThe account consistently receives high engagement, with an average of 75k likes and 11k retweets per tweet. This indicates a loyal and interactive follower base.
3,298.6
Avg Likes/Tweet
866.6
Avg Retweets/Tweet
3,397,538
Total Likes
892,625
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
654
Median Likes
201
Median Retweets
4,589
75th Percentile
217,954
Top Tweet
6.62
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
46.8%
Original
14.7%
Replies
32.8%
Retweets
5.7%
Quotes
0.0%
Threads
0.5%
With Media
69.8%
With Links
57.0%
With #Tags
65.2%
With @Mentions
79.6%
With Emojis
91
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.31
Reply/Original Ratio
0.17
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
75.4%
Weekday Posts
24.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,030 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 338 retweets (33% 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 1,030 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 primarily interested in football, with a focus on PSG and France national team. They are likely fans, sports enthusiasts, or individuals interested in brand collaborations.
Below Average
Audience Quality
36.7%
Suspicion Index
46.2%
Low-Quality %
7
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
58.0%
Empty Bio
50.8%
<10 Tweets
8.5%
Mass Following (>2K)
0.0%
New (<90 days)
78.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.8%
No URL
34.5%
<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.
7,330,937
Total Potential Reach
7
Median Follower Reach
43
75th Percentile Reach
1.5%
>1K followers
0.1%
>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).
24.0%
Creators
11,994 accounts
25.3%
Consumers
12,627 accounts
50.8%
Dormant
25,379 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):
164
Verified Followers
0.16% of total
8,633
Protected Accounts
8.63% of total
2 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 |
|---|---|---|---|
| @JAYVERSACE | 1,647,155 | Entertainer | olorisa, obatalá, afrotunes |
| @Domingo | 939,655 | Streamer | Gaming, Popcorn, Talk Show |
| @L9arami | 608,573 | - | - |
| @Moreno | 430,315 | Influencer | Business, Manager, Serious |
| @datdegenkid | 393,015 | Influencer | NFTs, Crypto, Promotion |
| @robbygeff | 292,300 | Journaliste | journalism, broadcasting, Haiti |
| @layvinkurzawa | 280,661 | Footballer | Football, FulhamFC, EquipeDeFrance |
| @LaurenceFerrari | 277,522 | Journalist | News, Journalism, Television |
| @JoelPostbad | 268,288 | Esports Commentator | esports, streaming, gaming |
| @agalleryartists | 174,490 | Art Dealer | NFTs, Art, Gallery |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
48,735
Followers With Bio
51,265
Followers Without Bio
48.73%
% With Bio
51.27%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 1,030 analyzed696,213
Combined Engagement
519,667
Total Likes
176,546
Total Retweets
139,243
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
100%
With Links
Topical Analysis:
NO ❌✊🏾 https://t.co/Z3WIbgCFgi
👊🏽👊🏽👊🏽 @KMbappe https://t.co/EU7G48qbTQ
One for the team... @PSG_inside 🔴🔵 #LAFORCE #LOSCPSG https://t.co/0i7w2M8y0m
RT @AntoGriezmann: CHAMPIONS DU MONDE. Vive la France 🇫🇷⭐⭐ https://t.co/YI3bGeHr5e
Bienvenue Leo 🔴🔵 https://t.co/eX82bpHXwA
Key Insights & Takeaways
The user is likely involved in sports commentary or brand promotion. They have a strong connection to PSG and France national team. Their content is tailored to engage football fans and brand partners.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 629,565
- + 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 @kimpembe_3 reveals an exceptionally influential Twitter presence with 629,565 followers. The account demonstrates a content-creator strategy, averaging 4,165.2 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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