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Yes, Blaze is my real name | COD Content Creator on @KickStreaming โ๏ธ | @FruitSquadGG ๐ | Creator for @?
82,865
Followers
1,334
Following
25,667
Tweets
872.0
Avg Engagement
445
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @BlazePittz'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:2010-06-07
- Verification:No
- Location:Pittsburgh, PA
Data Summary
- Tweets Analyzed:3,206
- Avg Likes per Tweet:2.4
- Avg Retweets per Tweet:869.6
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,206 tweetsTheir tweets typically receive an average of 333 likes and 57 retweets, indicating a moderate level of engagement. The content often sparks conversations and interactions within the gaming community.
2.4
Avg Likes/Tweet
869.6
Avg Retweets/Tweet
7,769
Total Likes
2,787,807
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
10
75th Percentile
142,939
Top Tweet
10.52
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
24.0%
Original
38.3%
Replies
33.5%
Retweets
4.2%
Quotes
0.0%
Threads
0.5%
With Media
40.4%
With Links
3.3%
With #Tags
73.2%
With @Mentions
16.0%
With Emojis
68
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.6
Reply/Original Ratio
0.12
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
72.5%
Weekday Posts
27.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,206 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 1,075 retweets (34% 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 3,206 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 followersBlazePittz's audience primarily consists of gaming enthusiasts, particularly those interested in Call of Duty and streaming. Their content appeals to both casual and dedicated gamers.
Good
Audience Quality
16.0%
Suspicion Index
12.8%
Low-Quality %
165
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
23.0%
Empty Bio
4.7%
<10 Tweets
24.6%
Mass Following (>2K)
0.0%
New (<90 days)
30.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
82.2%
No URL
2.7%
<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.
15,023,845
Total Potential Reach
165
Median Follower Reach
641
75th Percentile Reach
17.8%
>1K followers
1.4%
>10K followers
0.4%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
84.4%
Creators
8,443 accounts
10.8%
Consumers
1,083 accounts
4.7%
Dormant
474 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):
86
Verified Followers
0.86% of total
690
Protected Accounts
6.9% 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 |
|---|---|---|---|
| @sheetz | 515,537 | Fast Food | Fried Pickles, Made-To-Order, Big Dill |
| @SlimJim | 513,572 | Snack Influencer | meat, long boi, champions |
| @J4CKMULL | 497,424 | - | - |
| @Fakie | 484,201 | Gamer | Gaming, Streaming, Esports |
| @virtualtorii | 476,177 | Content Creator | OnlyFans, Top 2.5%, Tori |
| @euro_tour | 468,986 | Travel Blogger | Travel, Europe, Hotels |
| @Moreno | 430,818 | Influencer | Business, Manager, Serious |
| @sienaxmirabella | 394,506 | Influencer | Spooky, Nightmare, Daydream |
| @garyhgoodridge | 361,228 | Fighter | UFC, Arm Wrestling, Mental Health |
| @FaZeJinx | 283,456 | Gamer | Gaming, Esports, Content Creation |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,704
Followers With Bio
2,296
Followers Without Bio
77.04%
% With Bio
22.96%
% 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 3,206 analyzed449,621
Combined Engagement
0
Total Likes
449,621
Total Retweets
89,924
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @papicurl: current mood: https://t.co/AW7hQP3agN
RT @pulte: I'm going give $5,000 to someone random who retweets this tweet today because it's Monday (must be following me so I can dm you if you win!)
RT @AdamDeats: DO NOT PUT THAT ON. https://t.co/qIisEMukqq
RT @momentsofence: starry night lego https://t.co/jXnlY0dTd5
RT @onlyeatoreos: I have been nothing but funny and sexy to you
Key Insights & Takeaways
BlazePittz emphasizes the importance of checking in on friends, highlighting emotional and social themes. They frequently reference gaming communities and collaborations, showing a strong connection to the gaming world. Their use of humor and nostalgia, such as referencing past events, helps to build a relatable and engaging persona.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 82,865
- + 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 @BlazePittz reveals an well-established Twitter presence with 82,865 followers. The account demonstrates a conversation-first approach, averaging 872.0 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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