rasim
[email protected] 11-10-20 🖤❤️ Use Code “BLAZT” for a discount @brparadox
66,914
Followers
880
Following
20,048
Tweets
120.4
Avg Engagement
220
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Blazt'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:2013-06-17
- Verification:No
- Location:Texas, USA
Data Summary
- Tweets Analyzed:3,244
- Avg Likes per Tweet:114.5
- Avg Retweets per Tweet:6.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,244 tweetsBlazt's tweets receive a high average number of likes and retweets, suggesting a loyal and active audience. Their content is well-received, with a strong emphasis on gaming culture and community interaction.
114.5
Avg Likes/Tweet
6.0
Avg Retweets/Tweet
371,344
Total Likes
19,326
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
19
Median Likes
0
Median Retweets
78
75th Percentile
8,275
Top Tweet
1.8
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
39.0%
Original
58.2%
Replies
1.0%
Retweets
1.7%
Quotes
0.0%
Threads
0.0%
With Media
34.6%
With Links
0.7%
With #Tags
63.3%
With @Mentions
16.5%
With Emojis
60
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.49
Reply/Original Ratio
1.65
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.3%
Weekday Posts
28.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,244 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 34 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 3,244 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 followersBlazt's audience appears to be primarily gaming enthusiasts, likely male, given the gaming-centric content. Their followers are engaged and interested in competitive and casual gaming discussions.
Average
Audience Quality
20.3%
Suspicion Index
25.9%
Low-Quality %
40
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.1%
Empty Bio
21.4%
<10 Tweets
5.8%
Mass Following (>2K)
0.0%
New (<90 days)
46.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
77.9%
No URL
13.6%
<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.
9,047,340
Total Potential Reach
40
Median Follower Reach
153
75th Percentile Reach
4.8%
>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).
56.8%
Creators
5,680 accounts
21.8%
Consumers
2,181 accounts
21.4%
Dormant
2,139 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):
212
Verified Followers
2.12% of total
770
Protected Accounts
7.7% of total
5 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 |
|---|---|---|---|
| @FaZeBlaze | 1,751,035 | Gamer | gaming, esports, content creation |
| @ZachBoychuk | 826,042 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @SlimJim | 515,194 | Snack Influencer | meat, long boi, champions |
| @EvanKirstel | 349,101 | Tech Influencer | Tech, B2B, Social media |
| @Parasite | 329,370 | Professional Gamer | Call of Duty, Gaming, eSports |
| @zombs | 312,634 | Professional Gamer | Gaming, Valorant, X Games |
| @ChicaLive | 209,492 | Content Creator | Gaming, Content Creation, Business |
| @Warzone_Loadout | 193,758 | - | - |
| @shalomshuli | 169,600 | Podcaster | Podcasting, Comedy, Gaming |
| @ATLFaZe | 157,075 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,187
Followers With Bio
3,813
Followers Without Bio
61.87%
% With Bio
38.13%
% 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.
Buy Follower Data
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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 3,244 analyzed26,584
Combined Engagement
22,609
Total Likes
3,975
Total Retweets
5,317
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
20%
With Links
Topical Analysis:
Scump's retirement will be bigger than Tom Brady's.
If OpTic wins this event, I'll give away $500 PayPal away. Must follow myself & @FF_MuTeX RT to enter.
Jetpack CoD’s take unbelievably more skill than this casual grandpa game we play. 🗣
2016 Black Ops 3, what a time 👌🏻
Best TAQ-56 Class. https://t.co/c61KcaKgmD
Key Insights & Takeaways
Blazt frequently uses gaming references and humor to engage their audience. They often compare games and players, highlighting personal opinions and experiences. Their content is tailored to a niche gaming audience with a focus on competitive and casual play.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 66,914
- + 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 @Blazt reveals an well-established Twitter presence with 66,914 followers. The account demonstrates a conversation-first approach, averaging 120.4 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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