Guizzi
humeur assez positive
165,335
Followers
578
Following
26,411
Tweets
444.0
Avg Engagement
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Guizzi_Youtube'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:2013-11-10
- Verification:No
- Location:Belgique
Data Summary
- Tweets Analyzed:3,215
- Avg Likes per Tweet:144.1
- Avg Retweets per Tweet:299.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,215 tweetsHis tweets receive an average of 8,707 likes and 2,274 retweets, indicating a highly engaged and loyal fan base.
144.1
Avg Likes/Tweet
299.9
Avg Retweets/Tweet
463,160
Total Likes
964,193
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
1
Median Retweets
84
75th Percentile
269,736
Top Tweet
2.69
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
37.5%
Original
43.4%
Replies
15.8%
Retweets
3.3%
Quotes
0.0%
Threads
0.9%
With Media
38.8%
With Links
7.8%
With #Tags
65.8%
With @Mentions
35.6%
With Emojis
86
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.16
Reply/Original Ratio
0.21
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.2%
Weekday Posts
30.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,215 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 507 retweets (16% 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 3,215 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 appears to be fans of his YouTube content and followers of his personal brand, likely interested in humor, music, and lifestyle topics.
Below Average
Audience Quality
35.0%
Suspicion Index
43.1%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
50.0%
Empty Bio
50.8%
<10 Tweets
2.6%
Mass Following (>2K)
0.0%
New (<90 days)
82.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.6%
No URL
36.1%
<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.
13,692,649
Total Potential Reach
2
Median Follower Reach
12
75th Percentile Reach
0.8%
>1K followers
0.1%
>10K followers
0.1%
>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).
28.6%
Creators
14,292 accounts
20.6%
Consumers
10,314 accounts
50.8%
Dormant
25,394 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):
62
Verified Followers
0.06% of total
5,280
Protected Accounts
5.23% 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 |
|---|---|---|---|
| @NRJhitmusiconly | 3,398,100 | Radio | Music, Hits, Radio |
| @WaRTeK | 876,940 | - | - |
| @Arkunir | 839,161 | Footballer | Football, Music, Gaming |
| @DamidotValerie | 636,662 | Interior Designer | Home decor, DIY, Lifestyle |
| @pidi_meg | 487,926 | YouTuber | Pugs, Animaux, YouTube |
| @Betclic | 408,202 | Sports Betting | passion, live, sportifs |
| @Teeqzyk | 403,856 | Gamer | Gaming, Streaming, Content Creation |
| @BrokyBrawks | 394,586 | Gamer | Gaming, Football, Haiti |
| @LogitechGFrance | 366,885 | Tech Company | Gaming, Technology, Community |
| @Skyyart | 366,485 | Streamer | Gaming, Entrepreneurship, Streaming |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
51,495
Followers With Bio
49,501
Followers Without Bio
50.99%
% With Bio
49.01%
% 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 3,215 analyzed575,257
Combined Engagement
0
Total Likes
575,257
Total Retweets
115,051
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @AmineMaTue: CE TWEET EST EN CONCURRENCE AVEC CELUI DES ESPAGNOLS (de Djmarioo) LE PAYS QUI AURA LE + DE RT ENTRE NOTRE TWEET ET LE LE…
RT @LesProLaitiers: A 100K RT on met sa voix dans la prochaine pub Les Produits Laitiers. https://t.co/eq6W9sv1en
RT @YouTube: New record!! Oh...wait. https://t.co/hgmHkV8tK5
RT @aminethugo1: Vous comprenez ou pas? Restez chez vous ! Ça brise le coeur... https://t.co/sZ0ruNt7QO
RT @RetakeOfficiel: Bon, Re: Take va disparaître. Ce vendredi, la chaîne sera désactivée par YouTube. Donc les vidéos, la totalité des…
Key Insights & Takeaways
He frequently shares personal and humorous anecdotes, which resonate well with his audience. His content often includes references to his music and collaborations, highlighting his brand identity. He uses emojis and informal language to create a relatable and casual tone.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 165,335
- + High community engagement through conversations
- + 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 @Guizzi_Youtube reveals an well-established Twitter presence with 165,335 followers. The account demonstrates a conversation-first approach, averaging 444.0 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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