Blaze
I follow back everyone who supports @chocolatecharge! Just tweet me your order #
1,737,273
Followers
2,729
Following
42,513
Tweets
530.1
Avg Engagement
545
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @FaZeBlaze'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:2013-04-01
- Verification:No
- Location:California, USA
Data Summary
- Tweets Analyzed:3,246
- Avg Likes per Tweet:405.1
- Avg Retweets per Tweet:125.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,246 tweetsHis tweets receive an average of 60,000 likes and 4,700 retweets, showing strong audience interaction. He maintains a high level of engagement through consistent posting and audience interaction.
405.1
Avg Likes/Tweet
125.0
Avg Retweets/Tweet
1,314,933
Total Likes
405,797
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
27
Median Likes
0
Median Retweets
111
75th Percentile
310,208
Top Tweet
0.31
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
9.4%
Original
89.1%
Replies
1.2%
Retweets
0.3%
Quotes
0.0%
Threads
0.1%
With Media
9.7%
With Links
1.2%
With #Tags
91.0%
With @Mentions
25.0%
With Emojis
69
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
9.48
Reply/Original Ratio
0.26
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.8%
Weekday Posts
29.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,246 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 39 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 3,246 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 primarily consists of gaming enthusiasts and fans of his streaming content. They engage with his tweets by liking and retweeting his posts.
Below Average
Audience Quality
36.6%
Suspicion Index
48.2%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
53.7%
Empty Bio
57.4%
<10 Tweets
5.0%
Mass Following (>2K)
0.0%
New (<90 days)
76.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.9%
No URL
42.7%
<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.
37,117,869
Total Potential Reach
4
Median Follower Reach
26
75th Percentile Reach
2.2%
>1K followers
0.5%
>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).
21.4%
Creators
10,703 accounts
21.2%
Consumers
10,620 accounts
57.4%
Dormant
28,677 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):
916
Verified Followers
0.92% of total
8,646
Protected Accounts
8.65% of total
2 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 |
|---|---|---|---|
| @ChloeGMoretz | 2,878,788 | Actress | feminism, empowerment, equality |
| @ANGELAWHITE | 2,665,419 | Adult Film Star | Adult Entertainment, Brazzers, TikTok |
| @tanamongeau | 2,478,206 | Influencer | Reality TV, YouTube, Controversy |
| @louistheroux | 2,246,642 | Documentary Filmmaker | Documentaries, Irony, Filmmaking |
| @Nlechoppa1 | 1,974,774 | - | - |
| @bugha | 1,951,557 | Professional Gamer | Fortnite, Gaming, Esports |
| @dakotaz | 1,521,427 | Gamer | Gaming, Energy drinks, Streaming |
| @AlexisRen | 1,394,304 | Model | Fashion, Travel, Wellness |
| @hasanthehun | 1,388,698 | Streamer | thirst traps, anarchy, streaming |
| @BryceHall | 1,368,183 | Influencer | videos, email, business |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
53,460
Followers With Bio
46,540
Followers Without Bio
53.46%
% With Bio
46.54%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,246 analyzed839,424
Combined Engagement
487,812
Total Likes
351,612
Total Retweets
167,885
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
RT @warriors: Steve Kerr on today's tragic shooting in Uvalde, Texas. https://t.co/lsJ8RzPcmC
this is peak stream sniping https://t.co/4IAM98fCwb
Black Ops 1 has been out for 10 years and this might just be the best thing I've ever seen https://t.co/5sWDZpSmxr
This game was elite https://t.co/hTtgFZZDQx
Crazy LA moment.. My girl and I bumped into Amber Heard at lunch https://t.co/xfbgfimXFo
Key Insights & Takeaways
He focuses on sharing memorable gaming moments and highlights from his streams. He interacts with his audience by following back supporters and encouraging engagement. His content often references popular games and nostalgic experiences.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,737,273
- + 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 @FaZeBlaze reveals an well-established Twitter presence with 1,737,273 followers. The account demonstrates a conversation-first approach, averaging 530.1 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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