CHASE ATLANTIC
@MITCHELCAVE @CLINTONCAVE @CHRISTIANANTHO
267,000
Followers
1,079
Following
3,702
Tweets
505.6
Avg Engagement
346
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ChaseAtlantic'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:2013-06-19
- Verification:No
- Location:WORLDWIDE
Data Summary
- Tweets Analyzed:3,171
- Avg Likes per Tweet:397.2
- Avg Retweets per Tweet:108.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,171 tweetsChaseAtlantic's tweets receive high average likes and retweets, indicating strong audience interaction. Their content is well-received and shared by their followers.
397.2
Avg Likes/Tweet
108.4
Avg Retweets/Tweet
1,259,414
Total Likes
343,749
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
66
Median Likes
29
Median Retweets
339
75th Percentile
38,776
Top Tweet
1.89
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
50.3%
Original
15.8%
Replies
26.4%
Retweets
7.4%
Quotes
0.0%
Threads
1.1%
With Media
58.7%
With Links
9.3%
With #Tags
54.2%
With @Mentions
45.9%
With Emojis
80
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.31
Reply/Original Ratio
0.28
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
82.0%
Weekday Posts
18.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,171 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 838 retweets (26% 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 3,171 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 followersThe audience primarily consists of music fans and followers interested in their projects and collaborations. They are likely to be active and engaged with content related to music and announcements.
Average
Audience Quality
24.0%
Suspicion Index
32.4%
Low-Quality %
5
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.7%
Empty Bio
38.6%
<10 Tweets
1.6%
Mass Following (>2K)
0.0%
New (<90 days)
50.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.6%
No URL
29.1%
<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.
7,722,124
Total Potential Reach
5
Median Follower Reach
34
75th Percentile Reach
2.8%
>1K followers
0.1%
>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).
41.1%
Creators
20,555 accounts
20.3%
Consumers
10,164 accounts
38.6%
Dormant
19,281 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):
59
Verified Followers
0.06% of total
23,223
Protected Accounts
23.0% 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 |
|---|---|---|---|
| @ANGELAWHITE | 2,679,604 | Adult Film Star | Adult Entertainment, Brazzers, TikTok |
| @CptPuffy | 1,322,930 | Content Creator | Gaming, Content Creation, Wholesome |
| @Genesiscruzm | 490,551 | Singer | Genesiscruzm, Genesiscruzm, Genesiscruzm |
| @myladelrey | 451,116 | Content Creator | outdoors, small town, OnlyFans |
| @hannahhbbahng | 279,344 | Unknown | Sleep, Relaxation, Self-care |
| @zoeyuso | 213,002 | Influencer | Georgia, Best Ass, Snapchat |
| @martoz | 187,833 | - | - |
| @VENEMOURA | 143,420 | - | - |
| @KeenanCahill | 113,821 | DJ | Music, DJing, Producing |
| @gigsandtours | 108,722 | Promoter | Music, Live Events, Promoter |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
67,158
Followers With Bio
33,832
Followers Without Bio
66.5%
% With Bio
33.5%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,171 analyzed130,025
Combined Engagement
61,247
Total Likes
68,778
Total Retweets
26,005
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
RT @beforeyouexit: Today we lost an angel, sister, and a beloved friend. #RipChristina https://t.co/EkwTKsaLFr
BRAZIL 🇧🇷 WE ARE RECONFIGURING OUR PREVIOUSLY SCHEDULED TOUR AND WILL BE ANNOUNCING SOMETHING FOR YOU ALL SOON ❤️
we fux wit @BTS_twt heavy
OHMAMI OUT NOW!! LESSGOOO 🩸🏁 https://t.co/xjGIXJn15A https://t.co/SdJKcaKCF3
RT @AMEquality: 🎉 THANK YOU 🎉 This all happened because of you. We did this together. https://t.co/4vWuIj9bpB
Key Insights & Takeaways
Their top tweets often include announcements and collaborations, which drive engagement. They frequently promote their music and projects, showing a focus on content visibility. They engage with fans by sharing updates and interacting with other artists.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 267,000
- + Strong original content creation
- + 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 @ChaseAtlantic reveals an well-established Twitter presence with 267,000 followers. The account demonstrates a content-creator strategy, averaging 505.6 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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