4zr
19 | 🇨🇭 ✘ 🇻🇳
204,234
Followers
418
Following
5,381
Tweets
668.6
Avg Engagement
90
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @oh4zr'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:2016-10-27
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:656.5
- Avg Retweets per Tweet:12.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsTheir tweets consistently receive high engagement, indicating a loyal and active follower base. The average likes and retweets suggest a strong connection with their audience.
656.5
Avg Likes/Tweet
12.1
Avg Retweets/Tweet
2,133,614
Total Likes
39,435
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
266
Median Likes
1
Median Retweets
856
75th Percentile
16,141
Top Tweet
3.27
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
35.2%
Original
60.4%
Replies
1.3%
Retweets
3.1%
Quotes
0.0%
Threads
0.0%
With Media
31.0%
With Links
3.2%
With #Tags
63.6%
With @Mentions
33.8%
With Emojis
68
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.71
Reply/Original Ratio
2.33
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
62.9%
Weekday Posts
37.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 43 retweets (1% 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 3,250 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 is likely interested in gaming, particularly competitive titles and events. They also engage with a community that values transparency and tournament formats.
Average
Audience Quality
30.4%
Suspicion Index
35.1%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45.1%
Empty Bio
40.7%
<10 Tweets
1.8%
Mass Following (>2K)
0.0%
New (<90 days)
75.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.9%
No URL
25.0%
<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.
17,530,607
Total Potential Reach
4
Median Follower Reach
24
75th Percentile Reach
1.4%
>1K followers
0.3%
>10K followers
0.1%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
30.1%
Creators
15,068 accounts
29.2%
Consumers
14,577 accounts
40.7%
Dormant
20,355 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):
115
Verified Followers
0.11% of total
4,222
Protected Accounts
4.18% 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 |
|---|---|---|---|
| @JohnCena | 14,099,683 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Auba | 2,323,206 | Footballer | Football, Arsenal, Gabon |
| @bugha | 1,950,910 | Professional Gamer | Fortnite, Gaming, Esports |
| @FaZeSway | 1,581,024 | - | - |
| @JeromeASF | 781,225 | Internet Personality | Gaming, Content Creation, Entrepreneurship |
| @Laporte | 769,986 | Footballer | Football, International, Adidas |
| @Dubsfn | 741,914 | Gamer | Fortnite, FaZe Clan, World Cup |
| @solalexasch | 679,210 | Musician | Music, Travel, Tattoos |
| @k1ng | 554,210 | Professional Gamer | Fortnite, Pro player, FaZeClan |
| @IamMzilikazi | 547,075 | Musician | Pan-African music, Album, Rise |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
56,090
Followers With Bio
44,905
Followers Without Bio
55.54%
% With Bio
44.46%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,250 analyzed66,390
Combined Engagement
63,681
Total Likes
2,709
Total Retweets
13,278
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
1st Place UEFA EURO 2021 (10'000$) 🏆 https://t.co/COS7bBgYoq
1st Place DreamHack EU w/@Keziix 🏆 https://t.co/fHlXOiT3Fx
Petition to bring back Duo Cash Cup over Solo Cash cup 📝I'll start: 4zr https://t.co/xVqpOoPOH8
LET'S FUCKING GOOOOOOOOOOOOO
Bon vrai challenge pour vous, 15k likes avant le 26 juin 19h, je live la grande finale des All Star Solo 🤝
Key Insights & Takeaways
They focus on showcasing gaming achievements and recognition, which builds credibility and visibility. They actively participate in and promote specific tournaments, indicating a strategic interest in the gaming community. They use petitions and calls to action, showing a commitment to influencing and shaping gaming events.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 204,234
- + 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 @oh4zr reveals an well-established Twitter presence with 204,234 followers. The account demonstrates a conversation-first approach, averaging 668.6 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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