dj carzzy 🍆
Vsichni smrdite
107,546
Followers
630
Following
6,871
Tweets
1,064.5
Avg Engagement
327
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Carzzylol'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: Macro Influencer (100K+)
- Account Age:2017-06-04
- Verification:No
- Location:Berlin, Germany
Data Summary
- Tweets Analyzed:3,207
- Avg Likes per Tweet:1,013.5
- Avg Retweets per Tweet:51.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,207 tweetsThe user has high average likes and retweets, indicating strong audience interaction and popularity within their niche.
1,013.5
Avg Likes/Tweet
51.0
Avg Retweets/Tweet
3,250,427
Total Likes
163,574
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
327
Median Likes
2
Median Retweets
1,137
75th Percentile
104,453
Top Tweet
9.9
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
42.7%
Original
46.5%
Replies
6.0%
Retweets
4.8%
Quotes
0.0%
Threads
0.1%
With Media
16.0%
With Links
2.4%
With #Tags
58.5%
With @Mentions
8.4%
With Emojis
51
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.09
Reply/Original Ratio
0.8
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.7%
Weekday Posts
29.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,207 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 192 retweets (6% 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 3,207 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 followersThe audience likely includes gamers and sports enthusiasts, particularly those interested in competitive gaming and team-based activities.
Average
Audience Quality
28.2%
Suspicion Index
36.8%
Low-Quality %
9
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
50.1%
Empty Bio
34.6%
<10 Tweets
1.9%
Mass Following (>2K)
0.0%
New (<90 days)
68.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.4%
No URL
23.6%
<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.
17,465,150
Total Potential Reach
9
Median Follower Reach
35
75th Percentile Reach
1.4%
>1K followers
0.3%
>10K followers
0.1%
>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).
41.6%
Creators
4,157 accounts
23.9%
Consumers
2,385 accounts
34.6%
Dormant
3,458 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):
23
Verified Followers
0.23% of total
854
Protected Accounts
8.54% 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 | 14,092,912 | Wrestler | Wrestling, Motivation, Self-promotion |
| @LeBronJames | 994,448 | - | - |
| @Andrew_S_Dykes | 234,839 | Writer | Thoughts, Void, Throwing |
| @Kyaandere | 222,676 | Cosplayer | Anime, Cats, Cosplay |
| @maisesportsbr | 171,979 | Esports | Esports, Portal, Acesse |
| @Ricadam_lol | 168,692 | Professional Gamer | League of Legends, Twitch, Business |
| @ONEEsports | 167,449 | Esports | Esports, Heroes, Inspiration |
| @kiittwy | 123,422 | Esports Commentator | League of Legends, Colour Caster, Analyst |
| @FrankieWard | 85,405 | Esports Influencer | Esports, Curls, Fashion |
| @Fudgecakey | 67,853 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,993
Followers With Bio
5,007
Followers Without Bio
49.93%
% With Bio
50.07%
% 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 3,207 analyzed209,124
Combined Engagement
101,668
Total Likes
107,456
Total Retweets
41,825
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
40%
With @Mentions
20%
With Links
Topical Analysis:
RT @Bell_LetsTalk: Today, every view of this video helps create positive change. All you need to do is watch it and Bell will donate 5¢ more to Canadian mental health initiatives. Retweet to help spread the word! #BellLetsTalk https://t.co/hK1p4cJAYM
my friends dont be too mad, it doesnt matter what someone who doesnt have a single clue about the game says, I am not going to feel down, because someone such as @G4G_Revenant said something like this. Just stay happy. Dont let other people get you down. I love MAD.
we are sorry EU, we tried our best, but they were kinda good.
WE MADE IIIIITTTTT
I CANT TAKE THIS ITS SO INSANE WE ARE THE LEC CHAMPIONS I JUST CANT IM SO HAPPY THANK YOU
Key Insights & Takeaways
The user often addresses their friends and teammates, showing a close-knit community. Their content includes both personal reflections and team-related messages, suggesting a balance between individual and group identity. They use emotive language and repetition, which may help in building a connection with their followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 107,546
- + 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 @Carzzylol reveals an exceptionally influential Twitter presence with 107,546 followers. The account demonstrates a conversation-first approach, averaging 1,064.5 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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