FaZe Bloo
MW3 Sniping Content 😈
528,865
Followers
1,823
Following
41,020
Tweets
430.4
Avg Engagement
196
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @FaZeBloo'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:2013-01-26
- Verification:No
- Location:Richmond, VA
Data Summary
- Tweets Analyzed:3,205
- Avg Likes per Tweet:130.8
- Avg Retweets per Tweet:299.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,205 tweetsFaZeBloo's tweets consistently receive high engagement, with an average of 5,862 likes and 532 retweets. His verified status and viral tweets contribute significantly to his overall engagement rates.
130.8
Avg Likes/Tweet
299.6
Avg Retweets/Tweet
419,180
Total Likes
960,182
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
25
Median Likes
2
Median Retweets
111
75th Percentile
135,264
Top Tweet
0.81
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
58.9%
Original
14.0%
Replies
22.4%
Retweets
4.7%
Quotes
0.0%
Threads
0.0%
With Media
68.1%
With Links
7.9%
With #Tags
49.3%
With @Mentions
17.4%
With Emojis
82
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.24
Reply/Original Ratio
0.21
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 3,205 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 718 retweets (22% 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 3,205 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 made up of gamers, especially those interested in Call of Duty and sniping content. The community is highly engaged and active, often interacting with his tweets.
Average
Audience Quality
28.4%
Suspicion Index
28.5%
Low-Quality %
7
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
34.4%
Empty Bio
37.5%
<10 Tweets
4.4%
Mass Following (>2K)
0.0%
New (<90 days)
72.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
82.9%
No URL
22.7%
<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.
70,977,387
Total Potential Reach
7
Median Follower Reach
44
75th Percentile Reach
3.1%
>1K followers
0.7%
>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
27.7%
Consumers
13,835 accounts
37.5%
Dormant
18,771 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):
958
Verified Followers
0.95% of total
6,055
Protected Accounts
6.0% 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 | 14,105,209 | Wrestler | Wrestling, Motivation, Self-promotion |
| @McDonalds | 4,767,286 | Fast Food | Fast Food, Grimace, Friendship |
| @MatthewEspinosa | 3,751,567 | Actor | Acting, Writing, Podcasting |
| @Vikkstar123 | 3,300,600 | YouTuber | YouTube, Gaming, Business |
| @FaZe_Rain | 3,181,261 | Gamer | Gaming, eSports, Improvement |
| @Nadeshot | 2,973,057 | Professional Gamer | Gaming, Esports, Entrepreneurship |
| @timthetatman | 2,854,787 | Streamer | Gaming, Entertainment, Nerd |
| @DaneCook | 2,686,155 | Comedian | comedy, entertainment, humor |
| @marshmello | 2,432,741 | Music Producer | Music, DJ, EDM |
| @ZerkaaHD | 2,364,857 | YouTuber | Gaming, Sidemen, Clothing |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
66,537
Followers With Bio
34,460
Followers Without Bio
65.88%
% With Bio
34.12%
% 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 3,205 analyzed468,989
Combined Engagement
0
Total Likes
468,989
Total Retweets
93,798
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @wojespn: The NBA has suspended the season.
RT @jacobccfisher: me following my friends on social media https://t.co/9mxTjkz7pG
RT @playboicarti: https://t.co/nevbxXpuek
RT @CouRageJD: Dear @ArianaGrande... https://t.co/PtifPyJDKo
RT @FaZeJev: Yo I'm fucking done. https://t.co/ZpHHUXqv18
Key Insights & Takeaways
His verified status and viral tweets like 'I GOT VERIFIED WTF' indicate a strong personal brand and community connection. He frequently interacts with other content creators, such as @FaZeJev, which helps maintain audience interest. His content often includes personal opinions, such as calling MW2 better than MW3, which adds a unique and relatable angle.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 528,865
- + 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 @FaZeBloo reveals an well-established Twitter presence with 528,865 followers. The account demonstrates a content-creator strategy, averaging 430.4 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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