FaZe Banks
just a random kid who was born to be a loser, but fucked around on the internet and made a life for himself. founder @fazeclan
2,762,179
Followers
1,961
Following
28,669
Tweets
3,781.7
Avg Engagement
1,656
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Banks'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: Mega Influencer (1M+)
- Account Age:2011-08-28
- Verification:No
- Location:futuring
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:3,492.6
- Avg Retweets per Tweet:289.1
- Followers Analyzed:50,000
- Following Analyzed:1,942
Engagement Analysis
Based on 3,249 tweetsBanks' tweets typically receive high engagement, with an average of 108,000 likes and 10,000 retweets. His content often includes giveaways and promotions, which drive interaction.
3,492.6
Avg Likes/Tweet
289.1
Avg Retweets/Tweet
11,347,494
Total Likes
939,155
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
446
Median Likes
8
Median Retweets
1,999
75th Percentile
181,044
Top Tweet
1.37
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
7.5%
Original
90.6%
Replies
1.6%
Retweets
0.3%
Quotes
0.0%
Threads
0.1%
With Media
7.9%
With Links
1.3%
With #Tags
93.8%
With @Mentions
8.3%
With Emojis
86
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
12.06
Reply/Original Ratio
0.17
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.3%
Weekday Posts
29.7%
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 53 retweets (2% 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 followersBanks' audience primarily consists of young adults and teenagers interested in gaming, internet culture, and relatable content. His followers appreciate his candid and humorous take on life.
Average
Audience Quality
31.4%
Suspicion Index
40.4%
Low-Quality %
10
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
49.9%
Empty Bio
44.4%
<10 Tweets
6.4%
Mass Following (>2K)
0.0%
New (<90 days)
66.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.4%
No URL
30.8%
<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.
38,679,571
Total Potential Reach
10
Median Follower Reach
49
75th Percentile Reach
4.1%
>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).
32.1%
Creators
16,075 accounts
23.5%
Consumers
11,726 accounts
44.4%
Dormant
22,199 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):
2,118
Verified Followers
2.1% of total
7,637
Protected Accounts
7.56% 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 |
|---|---|---|---|
| @LiamPayne | 33,942,930 | Singer | Music, Sunshine, Singer |
| @SnoopDogg | 20,952,301 | Rapper | music, cannabis, entertainment |
| @Amouranth | 3,656,372 | Influencer | Gaming, Fitness, Cosplay |
| @louistheroux | 2,246,751 | Documentary Filmmaker | Documentaries, Irony, Filmmaking |
| @WakaFlocka | 1,859,639 | Gamer | Gaming, Music, Entertainment |
| @LakshmiManchu | 1,644,107 | Entertainer | Mother, Actor, Philanthropist |
| @kodaja_ | 1,609,564 | - | - |
| @dakotaz | 1,521,623 | Gamer | Gaming, Energy drinks, Streaming |
| @ScottGShore | 1,433,305 | Reality TV Star | Reality TV, Techno music, MTV |
| @nickkaustin | 1,416,596 | Influencer | travel, adventure, photography |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
57,980
Followers With Bio
43,019
Followers Without Bio
57.41%
% With Bio
42.59%
% 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 analyzed722,743
Combined Engagement
586,794
Total Likes
135,949
Total Retweets
144,549
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
0%
With Links
Topical Analysis:
Was just in a gas station and saw a little homie, maybe 13 years old looking around. Offered to buy him a pack of Pokemon cards and he looked up and said "nah, I'll take a pack of JUUL pods though." When I told him no he told me to fuck myself. These kids are outta control.
Alissa and I decided about a month ago that we should take some time apart. Love that girl to death and always will. I’ll never say a bad word about her. This shits about as hard to deal with as it gets. Please respect our privacy through this. 💔
Someone who likes this tweet is getting a FREE FaZe x Champion piece. Run it.
Do I fight @jakepaul or is it dead beef? Like if you wana see it
RT @elonmusk: No highs, no lows, only Doge
Network & Following Analysis
Based on 1,942 accounts followedFollowing Quality Signals
Who this account chooses to follow reveals their information diet and network quality.
50.9%
Verified Accounts
60.9%
High Authority (>50K)
100.0%
Dormant Accounts
6.8%
Low Quality
91,632
Median Reach of Followed Accounts
Heuristic analysis. For ML-powered bot detection, try our Bot Detector.
82.4%
Individuals
1,601 accounts
12.2%
Brands/Orgs
237 accounts
5.4%
Media/News
104 accounts
Most Influential Accounts They Follow
| Account | Followers | Profession | Interests |
|---|---|---|---|
| @elonmusk Elon Musk | 154,990,280 | Entrepreneur | Space, Technology, Innovation |
| @BarackObama Barack Obama | 131,947,434 | Politician | Family, Leadership, Citizenship |
| @justinbieber Justin Bieber | 111,758,728 | Singer | Music, Justice, Album |
| @realDonaldTrump Donald J. Trump | 87,256,031 | - | - |
| @neymarjr Neymar Jr | 62,767,367 | Footballer | Football, Family, Bold |
| @jimmyfallon Jimmy Fallon | 50,266,244 | Comedian | Comedy, TV, Music |
| @Drake Drizzy | 39,337,030 | Rapper | music, Toronto, Raptors |
| @NFL NFL | 33,448,244 | Athlete | Football, Tight End, Humor |
| @MrBeast MrBeast | 23,490,243 | YouTuber | Philanthropy, YouTube, Charity |
| @SnoopDogg Snoop Dogg | 20,738,998 | Rapper | music, cannabis, entertainment |
Key Insights & Takeaways
Banks uses personal stories to connect with his audience and build authenticity. He frequently promotes his brand and collaborations, which drives engagement. His content often includes giveaways, which incentivize followers to interact and share.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 2,762,179
- + 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 @Banks reveals an exceptionally influential Twitter presence with 2,762,179 followers. The account demonstrates a conversation-first approach, averaging 3,781.7 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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