FaZe Flea
Creative kid for @FaZeClan Content - Editing - VFX
326,224
Followers
492
Following
11,071
Tweets
562.6
Avg Engagement
100
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @FleaYT'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:2018-07-06
- Verification:No
- Location:Perth, WA
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:515.3
- Avg Retweets per Tweet:47.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,249 tweetsFleaYT's tweets receive an average of 26,882 likes and 994 retweets, indicating high audience interaction. His content is well-received and often drives significant engagement through incentives.
515.3
Avg Likes/Tweet
47.3
Avg Retweets/Tweet
1,674,297
Total Likes
153,711
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
111
Median Likes
0
Median Retweets
373
75th Percentile
91,945
Top Tweet
1.72
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
13.5%
Original
85.1%
Replies
1.4%
Retweets
0.0%
Quotes
0.0%
Threads
0.1%
With Media
13.8%
With Links
1.9%
With #Tags
87.0%
With @Mentions
38.1%
With Emojis
42
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
6.31
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.7%
Weekday Posts
26.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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 46 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 3,249 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, content creation, and visual effects. They engage actively with his tweets, showing interest in promotions and collaborations.
Average
Audience Quality
30.0%
Suspicion Index
30.0%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
33.8%
Empty Bio
43.9%
<10 Tweets
4.4%
Mass Following (>2K)
0.0%
New (<90 days)
73.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.5%
No URL
26.1%
<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.
40,608,197
Total Potential Reach
4
Median Follower Reach
28
75th Percentile Reach
2.6%
>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).
27.4%
Creators
13,708 accounts
28.7%
Consumers
14,335 accounts
43.9%
Dormant
21,957 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):
415
Verified Followers
0.41% of total
4,182
Protected Accounts
4.14% 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 | 14,103,404 | Wrestler | Wrestling, Motivation, Self-promotion |
| @McDonalds | 4,766,212 | Fast Food | Fast Food, Grimace, Friendship |
| @Teeqo | 1,470,246 | Gamer | Gaming, Content Creation, FaZe |
| @BryceHall | 1,367,112 | Influencer | videos, email, business |
| @FortniteBR | 1,293,350 | Gaming News | Gaming, Cosmetics, News |
| @ZachBoychuk | 829,504 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @LaurenAlexis_x | 771,958 | Content creator | NSFW content, Instagram, YouTube |
| @Agony | 761,929 | Gamer | Gaming, Livestreaming, FaZeClan |
| @OrdinaryGamers | 751,007 | YouTuber | Gaming, Videos, Gfuel |
| @ddofinternet | 545,766 | Content Creator | Animals, Funny, Viral |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
64,309
Followers With Bio
36,688
Followers Without Bio
63.67%
% With Bio
36.33%
% 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 3,249 analyzed266,181
Combined Engagement
162,738
Total Likes
103,443
Total Retweets
53,236
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
40%
With Links
Topical Analysis:
Joined @FaZeClan
RT @elonmusk: Time is the ultimate currency
aight fuck it. $1000 to everyone who likes this if Milliam joins FaZe today...
RT @SnoopDogg: Joined @FaZeClan. 🔥💫👊🏿 https://t.co/jQWWpsHO5L
wait wtf its not working??? https://t.co/xfAfsrwhRA
Key Insights & Takeaways
He leverages his FaZeClan affiliation to boost engagement and credibility. Interactive tweets like giveaways increase user participation and visibility. His focus on editing and VFX highlights his niche in the creative gaming content space.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 326,224
- + 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 @FleaYT reveals an well-established Twitter presence with 326,224 followers. The account demonstrates a conversation-first approach, averaging 562.6 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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