Benoit
diablox9.mail.pro@gmail.com
351.810
Followers
971
Following
30.327
Tweets
1.251,0
Avg Engagement
1.130
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Benoitdx9'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:2011-03-12
- Verification:No
- Location:Suisse
Data Summary
- Tweets Analyzed:3.190
- Avg Likes per Tweet:41,7
- Avg Retweets per Tweet:1.209,3
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.190 tweetsHis tweets receive high average likes and retweets, indicating a highly engaged and active follower base.
41,7
Avg Likes/Tweet
1.209,3
Avg Retweets/Tweet
133.059
Total Likes
3.857.696
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
8
Median Likes
2
Median Retweets
64
75th Percentile
3.000.997
Top Tweet
3,56
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
43,4%
Original
47,9%
Replies
6,4%
Retweets
2,3%
Quotes
0,0%
Threads
0,4%
With Media
31,7%
With Links
11,0%
With #Tags
59,3%
With @Mentions
7,0%
With Emojis
65
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1,1
Reply/Original Ratio
0,36
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68,2%
Weekday Posts
31,8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.190 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 205 retweets (6% 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 3.190 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 gaming and tech, with a focus on console and PC gaming communities.
Average
Audience Quality
29,0%
Suspicion Index
41,6%
Low-Quality %
10
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
57,7%
Empty Bio
35,8%
<10 Tweets
2,5%
Mass Following (>2K)
0,0%
New (<90 days)
65,4%
Low Ratio (<0.1)
0,0%
New (<180 days)
90,0%
No URL
25,4%
<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.
12.385.958
Total Potential Reach
10
Median Follower Reach
41
75th Percentile Reach
1,2%
>1K followers
0,2%
>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).
43,4%
Creators
21.681 accounts
20,9%
Consumers
10.425 accounts
35,8%
Dormant
17.894 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):
185
Verified Followers
0.18% of total
4.912
Protected Accounts
4.86% of total
7 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 |
|---|---|---|---|
| @GordonRamsay | 7.697.704 | Chef | Cooking, Food, Restaurants |
| @BeatsByAssassin | 2.264.286 | Multitalented | Actor, Director, Rapper |
| @shroud | 1.971.199 | Streamer | Gaming, Streaming, Esports |
| @SiriouslySusan | 1.776.130 | Voice Actor | Voice acting, singing, speaking |
| @VodKirl | 1.072.152 | Influencer | Instagram, Contact professionnel, VodK |
| @TwitterGaming | 1.069.372 | - | - |
| @valouzz_ | 982.724 | YouTuber | - |
| @TobyTurner | 872.248 | YouTuber | Gaming, Comedy, Vlogging |
| @FRSkyRRoZ | 588.288 | YouTuber | Gaming, YouTube, Streaming |
| @Dealabs | 574.330 | Community Manager | bonplan, erreurs de prix, soldes |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
38.506
Followers With Bio
62.493
Followers Without Bio
38.13%
% With Bio
61.87%
% 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 3.190 analyzed3.408.878
Combined Engagement
0
Total Likes
3.408.878
Total Retweets
681.776
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @carterjwm: HELP ME PLEASE. A MAN NEEDS HIS NUGGS https://t.co/4SrfHmEMo3
RT @Chinita_Lyfe: These boys came to my door on Halloween and I couldn't stop laughing. 😂 https://t.co/RgwCth551y
RT @RockstarGames: https://t.co/iuwxwyL2cX
RT @RockstarGames: https://t.co/BklXMlZ0UQ
RT @rogerfederer: 1️⃣8️⃣🏆 https://t.co/Ap8aZGhBNf
Key Insights & Takeaways
He leverages giveaways to boost engagement and follower growth. He often collaborates with brands like NVIDIA and PlayStation for promotions. His content includes both promotional and humorous elements to keep the audience entertained.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 351.810
- + 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 @Benoitdx9 reveals an exceptionally influential Twitter presence with 351.810 followers. The account demonstrates a conversation-first approach, averaging 1.251,0 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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