FaZe Replays
Content Creator for @FaZeClan - #FaZeUp [email protected] - [email protected] - - - https://www.twitch.tv/replays ---- @FFuZeY
409,804
Followers
2,025
Following
33,758
Tweets
518.2
Avg Engagement
177
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Replays'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:2012-08-11
- Verification:No
- Location:Montreal
Data Summary
- Tweets Analyzed:3,242
- Avg Likes per Tweet:323.2
- Avg Retweets per Tweet:195.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,242 tweetsReplays' tweets typically receive high engagement, with an average of 10k likes and 700 retweets per post, indicating a loyal and active audience.
323.2
Avg Likes/Tweet
195.0
Avg Retweets/Tweet
1,047,819
Total Likes
632,224
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
82
Median Likes
3
Median Retweets
388
75th Percentile
79,161
Top Tweet
1.26
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
33.8%
Original
50.8%
Replies
14.2%
Retweets
1.3%
Quotes
0.0%
Threads
0.1%
With Media
27.1%
With Links
7.4%
With #Tags
73.5%
With @Mentions
45.2%
With Emojis
62
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.5
Reply/Original Ratio
0.09
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 3,242 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 460 retweets (14% 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 3,242 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 includes fans of FaZeClan and gaming enthusiasts, as well as followers interested in his personal updates and humor.
Average
Audience Quality
28.4%
Suspicion Index
28.6%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.6%
Empty Bio
36.7%
<10 Tweets
3.9%
Mass Following (>2K)
0.0%
New (<90 days)
73.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
83.9%
No URL
21.6%
<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.
78,803,575
Total Potential Reach
6
Median Follower Reach
37
75th Percentile Reach
2.8%
>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).
33.7%
Creators
16,862 accounts
29.6%
Consumers
14,794 accounts
36.7%
Dormant
18,344 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):
678
Verified Followers
0.67% of total
5,789
Protected Accounts
5.73% 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 | 14,104,324 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Twitch | 9,927,852 | Social Media Manager | Gaming, Community, Support |
| @KianLawley | 5,993,188 | Influencer | Comedy, Vlogging, Acting |
| @McDonalds | 4,766,541 | Fast Food | Fast Food, Grimace, Friendship |
| @OffsetYRN | 4,615,013 | - | - |
| @FaZe_Rain | 3,180,664 | Gamer | Gaming, eSports, Improvement |
| @Lazarbeam | 2,491,578 | YouTuber | Gaming, Comedy, YouTube |
| @BlueJays | 2,426,344 | Sports Team | Baseball, Toronto, Social Media |
| @Mongraal | 2,135,803 | Professional Gamer | Fortnite, FaZe Clan, Pro |
| @LilBibby_ | 1,965,296 | Rapper | Music, Grade A, 999 |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
64,813
Followers With Bio
36,186
Followers Without Bio
64.17%
% With Bio
35.83%
% 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 3,242 analyzed290,451
Combined Engagement
35,723
Total Likes
254,728
Total Retweets
58,090
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @TTfue: 100,000 RETWEETS AND ILL BUY A SKIN 😂 https://t.co/AudrdUjI9n
RT @TTfue: 100k RTs and I’ll buy the battle pass
RT @KEEMSTAR: Fine. I’ll bring back #FridayFortnite if we get 100,000 (RTs.) You have 1 week!
Did twitter just change the like button?
RT @SnoopDogg: Joined @FaZeClan. 🔥💫👊🏿 https://t.co/jQWWpsHO5L
Key Insights & Takeaways
Replays frequently interacts with his audience through humor and personal reflections. He often references his brand and community, reinforcing his role as a FaZeClan representative. His tweets show a mix of personal sentiment and content creation, highlighting his multifaceted online presence.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 409,804
- + 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 @Replays reveals an well-established Twitter presence with 409,804 followers. The account demonstrates a conversation-first approach, averaging 518.2 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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