KRAS ❤️
guitarist/vocalist @chaseatlantic 🇳🇿 🇦🇺
122,133
Followers
6,448
Following
21,020
Tweets
603.1
Avg Engagement
320
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ChristianAntho'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:2011-10-06
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:3,183
- Avg Likes per Tweet:315.7
- Avg Retweets per Tweet:287.5
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,183 tweetsHis tweets receive a high number of likes and retweets on average, indicating strong audience interaction. The engagement is primarily driven by his appreciation for other artists and collaboration ideas.
315.7
Avg Likes/Tweet
287.5
Avg Retweets/Tweet
1,004,807
Total Likes
914,996
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
58
Median Likes
7
Median Retweets
298
75th Percentile
279,358
Top Tweet
4.94
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
22.7%
Original
53.4%
Replies
19.3%
Retweets
4.6%
Quotes
0.0%
Threads
0.7%
With Media
29.7%
With Links
3.7%
With #Tags
84.6%
With @Mentions
26.6%
With Emojis
75
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.35
Reply/Original Ratio
0.24
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.7%
Weekday Posts
24.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,183 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 615 retweets (19% 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 3,183 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 followersHis audience likely includes fans of his music and other K-pop artists he mentions. The audience appears to be engaged and interested in collaborations and artist interactions.
Average
Audience Quality
22.6%
Suspicion Index
29.3%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
32.8%
Empty Bio
34.6%
<10 Tweets
2.1%
Mass Following (>2K)
0.0%
New (<90 days)
49.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.4%
No URL
25.7%
<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.
1,912,797
Total Potential Reach
6
Median Follower Reach
43
75th Percentile Reach
3.5%
>1K followers
0.2%
>10K followers
0.0%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
45.4%
Creators
4,542 accounts
19.9%
Consumers
1,994 accounts
34.6%
Dormant
3,464 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):
8
Verified Followers
0.08% of total
2,270
Protected Accounts
22.7% 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 |
|---|---|---|---|
| @Kingnutk9 | 248,955 | Adult entertainer | NSFW, Nut, Dogs |
| @hottestmilx | 108,593 | Adult entertainer | Gaming, Fashion, Edgy |
| @agfilm | 23,956 | - | - |
| @vana__nz | 20,247 | - | - |
| @PLUSHTOKKI | 19,307 | - | - |
| @lettersforavery | 18,840 | - | - |
| @CryptoKing_Call | 17,350 | - | - |
| @mylovespiral | 17,317 | - | - |
| @uarkookie | 15,365 | - | - |
| @jeonslipks | 15,277 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,716
Followers With Bio
3,284
Followers Without Bio
67.16%
% With Bio
32.84%
% 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 3,183 analyzed690,295
Combined Engagement
66,735
Total Likes
623,560
Total Retweets
138,059
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @HamillHimself: no words #Devastated https://t.co/R9Xo7IBKmh
RT @KingJames: FUCK THIS MAN!!!! WE DEMAND CHANGE. SICK OF IT
Mad love to Chan from @Stray_Kids 🥳 let’s collab
RT @zaynmalik: https://t.co/gWKJuljPMB
RT @sarahlugor: ain’t nothing scarier than a group of preteens at a mall
Key Insights & Takeaways
He frequently expresses admiration for other artists, which may help build relationships and collaborations. His tweets often suggest potential collabs, showing his interest in working with other creators. He uses emojis and expressive language, which may help foster a more personal and engaging connection with his audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 122,133
- + 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 @ChristianAntho reveals an well-established Twitter presence with 122,133 followers. The account demonstrates a conversation-first approach, averaging 603.1 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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