Yohan
Yohan | Snap & Insta : yomax38 | https://www.twitch.tv/yomax | Mail pro : [email protected]
195,728
Followers
1,059
Following
47,755
Tweets
484.2
Avg Engagement
117
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @YoMax38'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:2012-04-15
- Verification:No
- Location:Grenoble
Data Summary
- Tweets Analyzed:3,247
- Avg Likes per Tweet:84.2
- Avg Retweets per Tweet:400.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,247 tweetsOn average, his tweets receive around 3,000 likes and 500 retweets, reflecting a highly engaged audience. His verified status is low, suggesting a personal or niche following.
84.2
Avg Likes/Tweet
400.0
Avg Retweets/Tweet
273,460
Total Likes
1,298,662
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
26
Median Likes
1
Median Retweets
82
75th Percentile
553,142
Top Tweet
2.47
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
58.6%
Original
24.8%
Replies
9.4%
Retweets
7.3%
Quotes
0.0%
Threads
0.2%
With Media
50.4%
With Links
5.6%
With #Tags
44.7%
With @Mentions
46.2%
With Emojis
107
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.42
Reply/Original Ratio
0.78
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.0%
Weekday Posts
26.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,247 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 304 retweets (9% 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 3,247 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 appears to be tech-savvy individuals interested in internet culture and debates. They engage actively with his tweets, showing a high level of interest in his content.
Average
Audience Quality
26.9%
Suspicion Index
36.0%
Low-Quality %
9
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
53.2%
Empty Bio
30.1%
<10 Tweets
2.9%
Mass Following (>2K)
0.0%
New (<90 days)
63.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.2%
No URL
18.8%
<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.
23,768,694
Total Potential Reach
9
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).
45.3%
Creators
22,657 accounts
24.5%
Consumers
12,271 accounts
30.1%
Dormant
15,072 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):
103
Verified Followers
0.1% of total
5,608
Protected Accounts
5.55% 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 |
|---|---|---|---|
| @ActuFoot_ | 6,063,251 | Football News | Football, Soccer, News |
| @Pornhub | 3,700,907 | Adult Entertainment | porn, videos, models |
| @SamNasri19 | 2,357,931 | Soccer Player | Soccer, Athlete, Sports |
| @Auba | 2,323,166 | Footballer | Football, Arsenal, Gabon |
| @lnstantFoot | 1,711,934 | Football Blogger | Football, Instant, Vivons |
| @ObispoPascal | 1,707,542 | Singer | Music, Album, Vinyl |
| @PatrickAdemo | 1,064,582 | Unknown | Travel, Adventure, Long journey |
| @NepentheZ | 1,004,247 | Content Creator | Gaming, Content Creation, eSports |
| @valouzz_ | 984,652 | YouTuber | - |
| @Kammeto | 952,455 | Gamer | Gaming, Esports, Content creation |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
44,589
Followers With Bio
56,409
Followers Without Bio
44.15%
% With Bio
55.85%
% 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.
Buy Follower Data
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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 3,247 analyzed1,021,091
Combined Engagement
0
Total Likes
1,021,091
Total Retweets
204,218
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
0%
With Links
Topical Analysis:
RT @ManUtd: Welcome 𝗵𝗼𝗺𝗲, @Cristiano 🔴 #MUFC | #Ronaldo
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 @MesutOzil1088: Kids grow up dreaming to win the World Cup and the Champions League - not any Super League. The enjoyment of big games i…
RT @Benzema: Tellement fier de ce retour en équipe de France et de la confiance que l’on m’accorde. Merci à ma famille, mes amis, mon club,…
RT @ToniKroos: Sure?
Key Insights & Takeaways
He frequently engages in debates about internet culture and technology His content often sparks controversy and discussion He uses multiple platforms like Instagram and Snapchat to connect with his audience
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 195,728
- + 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 @YoMax38 reveals an well-established Twitter presence with 195,728 followers. The account demonstrates a content-creator strategy, averaging 484.2 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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