FaZe Testy
@FaZeClan - Instagram @testyment
87,991
Followers
476
Following
1,760
Tweets
1,064.2
Avg Engagement
85
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Testyment'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: Mid-Tier (10K+)
- Account Age:2011-04-07
- Verification:No
- Location:[email protected]
Data Summary
- Tweets Analyzed:1,440
- Avg Likes per Tweet:751.2
- Avg Retweets per Tweet:313.1
- Followers Analyzed:10,000
Engagement Analysis
Based on 1,440 tweetsTestyment's tweets receive an average of 27,804 likes and 3,356 retweets, indicating strong audience interaction. Their content is well-received and often goes viral, especially with gameplay leaks and hype-driven posts.
751.2
Avg Likes/Tweet
313.1
Avg Retweets/Tweet
1,081,676
Total Likes
450,798
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
66
Median Likes
1
Median Retweets
555
75th Percentile
96,746
Top Tweet
12.09
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
23.8%
Original
69.2%
Replies
6.9%
Retweets
0.1%
Quotes
0.0%
Threads
0.0%
With Media
27.2%
With Links
5.2%
With #Tags
78.9%
With @Mentions
29.2%
With Emojis
57
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.92
Reply/Original Ratio
0.02
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.6%
Weekday Posts
24.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,440 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 99 retweets (7% 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 1,440 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 10,000 followersTheir audience is likely gaming enthusiasts and fans of FaZe Clan, interested in exclusive content and behind-the-scenes gameplay. The audience is highly engaged and responsive to trending and viral material.
Average
Audience Quality
22.3%
Suspicion Index
26.1%
Low-Quality %
28
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
36.9%
Empty Bio
24.0%
<10 Tweets
7.1%
Mass Following (>2K)
0.0%
New (<90 days)
52.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
78.3%
No URL
15.4%
<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.
22,552,222
Total Potential Reach
28
Median Follower Reach
130
75th Percentile Reach
4.1%
>1K followers
0.8%
>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).
53.6%
Creators
5,362 accounts
22.4%
Consumers
2,236 accounts
24.0%
Dormant
2,402 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):
177
Verified Followers
1.77% of total
795
Protected Accounts
7.95% 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 | 14,096,956 | Wrestler | Wrestling, Motivation, Self-promotion |
| @ochocinco | 3,223,046 | Researcher | Football, Gaming, Analytics |
| @GamerPatife | 335,445 | Gamer | gaming, FaZe Clan, esports |
| @MrTLexify | 300,290 | Gamer | Gaming, Zombies, Comedy |
| @Warzone_Loadout | 190,997 | - | - |
| @jjjinvesting | 157,452 | Investor | Investing, Contrary Options, Vietnam Veteran |
| @RealJtHolmes | 144,643 | Entrepreneur | Fashion, Music, Arizona |
| @Lovesicksavii | 140,732 | Influencer | Astrology, Love, Backup Account |
| @H1ghSKy1 | 126,066 | Gamer | Gaming, eSports, Influencer |
| @Brparadox | 108,674 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,310
Followers With Bio
3,690
Followers Without Bio
63.1%
% With Bio
36.9%
% 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 1,440 analyzed339,939
Combined Engagement
165,499
Total Likes
174,440
Total Retweets
67,988
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
40%
With @Mentions
100%
With Links
Topical Analysis:
RT @CallofDuty: The rules have changed. #ModernWarfare October 25, 2019. https://t.co/T1Awm95lHt
leaked #MWII gameplay so hyped 🔥🔥 https://t.co/kAbyQbu2S6
ok I officially made it https://t.co/6KynGRjmT1
RT @Drake: CERTIFIED LOVER BOY AVAILABLE WORLDWIDE https://t.co/4nRngO8hDT
OH MY GOD JUST RT https://t.co/4r1xJAZq06
Key Insights & Takeaways
Testyment's association with FaZe Clan adds credibility and attracts a dedicated fanbase. Their content often includes gameplay leaks, which drive high engagement and retweets. They leverage trending topics and viral moments to maximize reach and interaction.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 87,991
- + 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 @Testyment reveals an exceptionally influential Twitter presence with 87,991 followers. The account demonstrates a conversation-first approach, averaging 1,064.2 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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