Aymeric Laporte
@AlNassrFC Player | @sefutbol international | @adidasfootball athlete and member of FT #AL27 #Waporte 🚪 @aymesports 🎮🖥 (I’m not paying for Twitter Blue)
880,610
Followers
487
Following
2,282
Tweets
3,965.9
Avg Engagement
851
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Laporte'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:2010-07-10
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:2,126
- Avg Likes per Tweet:3,449.4
- Avg Retweets per Tweet:516.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,126 tweetsLaporte's tweets receive high engagement, with an average of 90,748 likes and 7,191 retweets per post. His content is both entertaining and informative, driving interaction.
3,449.4
Avg Likes/Tweet
516.4
Avg Retweets/Tweet
7,333,500
Total Likes
1,097,927
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
49
Median Likes
39
Median Retweets
2,522
75th Percentile
370,002
Top Tweet
4.5
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
51.4%
Original
24.3%
Replies
18.4%
Retweets
5.9%
Quotes
0.0%
Threads
0.2%
With Media
45.1%
With Links
23.0%
With #Tags
58.7%
With @Mentions
54.5%
With Emojis
83
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.47
Reply/Original Ratio
0.32
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67.8%
Weekday Posts
32.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,126 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 391 retweets (18% 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 2,126 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, followers of his club, and general entertainment seekers. The mix of humor and sports content appeals to a broad demographic.
Below Average
Audience Quality
38.9%
Suspicion Index
53.1%
Low-Quality %
5
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
63.0%
Empty Bio
59.6%
<10 Tweets
4.0%
Mass Following (>2K)
0.0%
New (<90 days)
80.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.4%
No URL
43.2%
<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.
7,839,375
Total Potential Reach
5
Median Follower Reach
26
75th Percentile Reach
1.1%
>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).
17.8%
Creators
8,924 accounts
22.5%
Consumers
11,255 accounts
59.6%
Dormant
29,821 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):
125
Verified Followers
0.12% of total
7,543
Protected Accounts
7.47% 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 |
|---|---|---|---|
| @JohnCena | 14,105,137 | Wrestler | Wrestling, Motivation, Self-promotion |
| @mundodeportivo | 3,150,648 | Sports News | Sports, News, TikTok |
| @fifaworldcup_es | 2,901,564 | Sports Event | Soccer, World Cup, Official Account |
| @FutSheriff | 1,034,999 | FIFA Trader | FIFA, Trading, Weekend League |
| @LeBronJames | 1,008,426 | - | - |
| @TigoSportsPY | 554,616 | Sports Content | Deportes, Contenidos, Paraguay |
| @so_mkb | 487,749 | Influencer | Humor, Time-passing, Partnership |
| @sergio_regui | 336,687 | Footballer | Football, Passion |
| @drissawaked | 266,270 | Physician | Health education, Coronavirus, Medical specialist |
| @formularacers_ | 226,505 | Motorsport Analyst | F1, News, Analysis |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
39,145
Followers With Bio
61,853
Followers Without Bio
38.76%
% With Bio
61.24%
% 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 2,126 analyzed952,902
Combined Engagement
728,710
Total Likes
224,192
Total Retweets
190,580
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
😂😂😂 sorry for you loss bro https://t.co/Q74qaf0QO2
Happy not to be running after this guy for the next couple of years 😂😂😂 Welcome Erling ✌🏻🔥 https://t.co/aTdTWTPlmV
RT @ibfk2014: ✊🏻✊🏿 NO TO RACISM | #Respect https://t.co/Ic1BzfANoi
Cuando es el Twitch del mister ? 👀🤣🍿
😅😅 https://t.co/sSWo9zsrFL
Key Insights & Takeaways
Laporte uses humor and personal questions to engage his audience He promotes his club and other brands through his platform His content often includes a mix of sports, entertainment, and community interaction
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 880,610
- + 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 @Laporte reveals an exceptionally influential Twitter presence with 880,610 followers. The account demonstrates a content-creator strategy, averaging 3,965.9 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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