FaZe H1ghSky1
16 | Youngest member in @FaZeClan | Use Code: H1ghSky1 | IG: @FazeH1ghSky1 Business Inquiries: [email protected]
124,119
Followers
1,434
Following
2,680
Tweets
1,103.5
Avg Engagement
78
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @H1ghSKy1'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:2018-04-26
- Verification:No
- Location:At the Skycastle
Data Summary
- Tweets Analyzed:2,443
- Avg Likes per Tweet:528.6
- Avg Retweets per Tweet:574.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,443 tweetsTheir tweets receive high engagement, with an average of 52,999 likes and 1,270 retweets. They often share content that sparks conversation and interaction.
528.6
Avg Likes/Tweet
574.8
Avg Retweets/Tweet
1,291,481
Total Likes
1,404,317
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
67
Median Likes
1
Median Retweets
275
75th Percentile
805,359
Top Tweet
8.89
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
42.0%
Original
51.6%
Replies
5.0%
Retweets
1.4%
Quotes
0.0%
Threads
0.4%
With Media
27.1%
With Links
4.5%
With #Tags
58.1%
With @Mentions
20.1%
With Emojis
54
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.23
Reply/Original Ratio
0.27
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67.3%
Weekday Posts
32.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,443 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 123 retweets (5% 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 2,443 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 followersH1ghSKy1's audience primarily consists of young gamers and social media enthusiasts. Their content appeals to fans of animation, gaming, and pop culture.
Average
Audience Quality
27.4%
Suspicion Index
27.2%
Low-Quality %
7
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
34.3%
Empty Bio
35.3%
<10 Tweets
4.9%
Mass Following (>2K)
0.0%
New (<90 days)
69.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
83.8%
No URL
20.0%
<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.
51,817,991
Total Potential Reach
7
Median Follower Reach
46
75th Percentile Reach
3.0%
>1K followers
0.6%
>10K followers
0.2%
>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).
34.8%
Creators
17,394 accounts
29.9%
Consumers
14,961 accounts
35.3%
Dormant
17,645 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):
668
Verified Followers
0.66% of total
5,665
Protected Accounts
5.61% 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 |
|---|---|---|---|
| @JohnCena | 14,101,425 | Wrestler | Wrestling, Motivation, Self-promotion |
| @whoisaddison | 4,835,666 | - | - |
| @McDonalds | 4,764,522 | Fast Food | Fast Food, Grimace, Friendship |
| @FaZe_Rain | 3,177,616 | Gamer | Gaming, eSports, Improvement |
| @HYPEX | 2,626,028 | Gamer | Fortnite, News, Business |
| @scump | 2,272,861 | Professional Gamer | Gaming, eSports, Partner |
| @NICKMERCS | 2,091,462 | Gamer | Gaming, Streaming, Esports |
| @DrLupo | 1,932,705 | Streamer | Gaming, Charity, Family |
| @SypherPK | 1,754,114 | Streamer | Gaming, Streaming, Content Creation |
| @iFireMonkey | 1,274,740 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
66,462
Followers With Bio
34,528
Followers Without Bio
65.81%
% With Bio
34.19%
% 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 2,443 analyzed1,463,591
Combined Engagement
325,651
Total Likes
1,137,940
Total Retweets
292,718
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
40%
With @Mentions
80%
With Links
Topical Analysis:
RT @egg_rt_record: Let's set a world record together and get the most retweeted tweet on Twitter. Beating the current world record held by…
RT @elonmusk: Had to been done ur welcome https://t.co/7jT0f9lqIS
Like this for a SICK animation! #TheBoysPremiere https://t.co/YQW7JCOdaK
Elon Musk has changed Twitter like button from ❤️ to 💙 https://t.co/DYiEjjrZuP
no way Elon Musk already added this to Twitter https://t.co/lIrYnzjTc1
Key Insights & Takeaways
H1ghSKy1 leverages trending topics and collaborations to boost engagement. Their content often includes animated clips and social media references. They maintain a strong connection with their fanbase through consistent posting and interaction.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 124,119
- + 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 @H1ghSKy1 reveals an exceptionally influential Twitter presence with 124,119 followers. The account demonstrates a conversation-first approach, averaging 1,103.5 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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