Loup
oui c’est mon vrai prénom
123,557
Followers
5,267
Following
1,837
Tweets
808.7
Avg Engagement
66
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @LoupEnPixel'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:2015-01-11
- Verification:No
- Location:Paris, France
Data Summary
- Tweets Analyzed:1,782
- Avg Likes per Tweet:605.0
- Avg Retweets per Tweet:203.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,782 tweetsTheir tweets consistently receive high engagement, with average likes and retweets indicating a loyal and active follower base.
605.0
Avg Likes/Tweet
203.7
Avg Retweets/Tweet
1,078,101
Total Likes
362,955
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
381
Median Likes
65
Median Retweets
1,111
75th Percentile
26,246
Top Tweet
6.54
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
85.3%
Original
6.4%
Replies
6.9%
Retweets
1.4%
Quotes
0.0%
Threads
0.9%
With Media
26.2%
With Links
9.9%
With #Tags
24.9%
With @Mentions
30.8%
With Emojis
64
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.07
Reply/Original Ratio
0.2
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.5%
Weekday Posts
33.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,782 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 123 retweets (7% 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 1,782 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 followersTheir audience appears to be young adults interested in pop culture, humor, and everyday life experiences.
Below Average
Audience Quality
35.2%
Suspicion Index
49.8%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
51.5%
Empty Bio
62.7%
<10 Tweets
0.8%
Mass Following (>2K)
0.0%
New (<90 days)
68.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.6%
No URL
48.2%
<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.
19,472,988
Total Potential Reach
2
Median Follower Reach
12
75th Percentile Reach
0.5%
>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).
17.8%
Creators
8,890 accounts
19.5%
Consumers
9,743 accounts
62.7%
Dormant
31,367 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):
41
Verified Followers
0.04% of total
9,005
Protected Accounts
8.92% of total
5 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 | 14,101,287 | Wrestler | Wrestling, Motivation, Self-promotion |
| @NetflixFR | 10,671,515 | Streaming Service | Movies, TV shows, Entertainment |
| @Cyrilhanouna | 6,044,291 | TV Host | TV, Entertainment, Comedy |
| @6BillionPeople | 2,033,100 | - | - |
| @SiriouslySusan | 1,773,842 | Voice Actor | Voice acting, singing, speaking |
| @ObispoPascal | 1,707,385 | Singer | Music, Album, Vinyl |
| @trevimoran | 1,572,820 | Singer | pop music, entertainment, social media |
| @jeromejarre | 1,238,074 | Influencer | Be useful |
| @louane | 987,696 | Singer | Music, Album, Art |
| @rudymancuso | 886,630 | Musician | Music, Comedy, Acting |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
48,119
Followers With Bio
52,878
Followers Without Bio
47.64%
% With Bio
52.36%
% 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 1,782 analyzed98,716
Combined Engagement
39,760
Total Likes
58,956
Total Retweets
19,743
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
40%
With Links
Topical Analysis:
RT @jeromejarre: LES MÉDIAS FRANÇAIS N'EN PARLERONT JAMAIS ! C'EST SCANDALEUX !! PARTAGEZ À FOND ET BOUGEONS NOUS !!! https://t.co/fUzjwG…
À "1000 RT" sur ce tweet j'inscris officiellement mon père à Koh Lanta Qui ne tente rien n'a rien MDRRRRR :IMPOSSIBLE: 😶🍕🍍
RT @92_Tzigano: STOPPER TOUT ET LISEZ SA 😂😂😂😂😂😂😂😂😂😂 http://t.co/CmTwptwnOt
Dynamite des BTS ce boooop
vivement l’été parce que le soleil qui se couche à 16h30 on n’en peut plus
Key Insights & Takeaways
They often reference popular culture and music, which likely drives engagement. Their content is lighthearted and relatable, making it appealing to a broad audience. They use humor and emojis effectively to enhance their tweets' appeal and shareability.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 123,557
- + 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 @LoupEnPixel reveals an well-established Twitter presence with 123,557 followers. The account demonstrates a content-creator strategy, averaging 808.7 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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