Hugoposé
Le mec qui fait des vidéos sur YouTube. C’est comme ça qu’on dit ?
291,789
Followers
194
Following
1,489
Tweets
625.1
Avg Engagement
137
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @HugoPOSAY'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:2012-04-17
- Verification:No
- Location:France
Data Summary
- Tweets Analyzed:1,224
- Avg Likes per Tweet:385.0
- Avg Retweets per Tweet:240.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,224 tweetsHis tweets receive high average likes and retweets, indicating a highly engaged and loyal fan base.
385.0
Avg Likes/Tweet
240.1
Avg Retweets/Tweet
471,216
Total Likes
293,865
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
42
Median Likes
20
Median Retweets
384
75th Percentile
105,085
Top Tweet
2.14
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
42.8%
Original
22.3%
Replies
34.0%
Retweets
0.9%
Quotes
0.0%
Threads
3.1%
With Media
70.6%
With Links
26.7%
With #Tags
65.6%
With @Mentions
11.0%
With Emojis
108
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.52
Reply/Original Ratio
0.03
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 1,224 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 416 retweets (34% 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 1,224 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 is primarily interested in his video content and updates, showing strong engagement with his posts.
Average
Audience Quality
26.8%
Suspicion Index
34.3%
Low-Quality %
7
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.4%
Empty Bio
33.5%
<10 Tweets
1.3%
Mass Following (>2K)
0.0%
New (<90 days)
65.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.8%
No URL
22.2%
<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.
9,042,607
Total Potential Reach
7
Median Follower Reach
34
75th Percentile Reach
1.0%
>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).
42.7%
Creators
21,330 accounts
23.8%
Consumers
11,912 accounts
33.5%
Dormant
16,758 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):
113
Verified Followers
0.11% of total
8,157
Protected Accounts
8.16% of total
4 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 |
|---|---|---|---|
| @YouTubeCreators | 6,702,061 | Content Creator | tools, tips, inspiration |
| @Inoxtag | 2,801,801 | Youtuber | Gaming, Streaming, Content Creation |
| @Mrwhosetheboss | 1,736,360 | Tech Influencer | Tech, Community, YouTube |
| @XboxFR | 1,172,711 | Gaming | Gaming, Xbox, Community |
| @TopDesTwittos | 1,149,257 | Curator | Humor, Internet culture, Memes |
| @PatrickAdemo | 1,063,023 | Unknown | Travel, Adventure, Long journey |
| @valouzz_ | 983,029 | YouTuber | - |
| @UrbanLePharaon | 774,775 | - | - |
| @yashar | 704,811 | Journalist | Politics, News, Culture |
| @BrunoLeMaire | 688,372 | Politician | Economy, Finance, France |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
51,149
Followers With Bio
48,851
Followers Without Bio
51.15%
% With Bio
48.85%
% 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 1,224 analyzed294,583
Combined Engagement
129,545
Total Likes
165,038
Total Retweets
58,917
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
60%
With @Mentions
100%
With Links
Topical Analysis:
Je suis de retour mais https://t.co/zyzO8Fl5kR
RT @OmarSy: "ENSEMBLE, TOUT EST POSSIBLE" À vous de jouer ! #LoveArmyForRohingya https://t.co/b7b6sxLjfD
RT @jeromejarre: HUMANITY. IT’S NOW OR NEVER! WE NEED ALL OF YOU! LET THE WORLD KNOW! 🌎♥️ #LoveArmyForRohingya https://t.co/X0vPGr2eQl
RT @MisterVonline: MESSAGE IMPORTANT ❤️ #LoveArmyForRohingya ON COMPTE SUR VOUS ! 💪🏽 https://t.co/ouCGZhCKEV
Le début d’une nouvelle ère Vendredi 18h03 https://t.co/khxT9HULXP
Key Insights & Takeaways
His content is heavily focused on YouTube video updates and announcements. He uses Twitter as a platform to promote his channel and new content. He maintains a consistent presence with regular posts and interactions.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 291,789
- + 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 @HugoPOSAY reveals an well-established Twitter presence with 291,789 followers. The account demonstrates a content-creator strategy, averaging 625.1 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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