Cash
Ima hooper not a hooper hooper... #2hype @xset Business Inquiries: [email protected]
1,342,189
Followers
1,472
Following
69,297
Tweets
1,655.6
Avg Engagement
391
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @CashNasty'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: Mega Influencer (1M+)
- Account Age:2013-07-15
- Verification:No
- Location:The Staples Center
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:1,457.9
- Avg Retweets per Tweet:197.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,249 tweetsCashNasty's tweets receive high engagement, with an average of 41,655 likes and 2,925 retweets per tweet. This indicates a strong and active community around their content.
1,457.9
Avg Likes/Tweet
197.6
Avg Retweets/Tweet
4,736,833
Total Likes
642,071
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
309
Median Likes
6
Median Retweets
1,787
75th Percentile
186,615
Top Tweet
1.23
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
57.1%
Original
35.5%
Replies
1.7%
Retweets
5.7%
Quotes
0.0%
Threads
0.0%
With Media
38.6%
With Links
1.8%
With #Tags
60.3%
With @Mentions
10.3%
With Emojis
65
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.62
Reply/Original Ratio
3.38
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.2%
Weekday Posts
26.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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 55 retweets (2% 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 3,249 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 followersTheir audience appears to be interested in personal stories, business opportunities, and candid conversations. They likely engage with followers who are looking for authenticity and relatability.
Below Average
Audience Quality
37.5%
Suspicion Index
50.5%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
59.2%
Empty Bio
57.8%
<10 Tweets
3.5%
Mass Following (>2K)
0.0%
New (<90 days)
78.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.2%
No URL
41.8%
<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.
23,788,439
Total Potential Reach
4
Median Follower Reach
18
75th Percentile Reach
1.1%
>1K followers
0.2%
>10K followers
0.1%
>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).
19.0%
Creators
9,478 accounts
23.2%
Consumers
11,607 accounts
57.8%
Dormant
28,915 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):
323
Verified Followers
0.32% of total
7,934
Protected Accounts
7.93% 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 |
|---|---|---|---|
| @JohnCena | 14,105,354 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Valkyrae | 3,076,316 | Streamer | Gaming, Streaming, Content Creation |
| @JAYVERSACE | 1,647,174 | Entertainer | olorisa, obatalá, afrotunes |
| @solalexasch | 678,375 | Musician | Music, Travel, Tattoos |
| @IamMzilikazi | 544,410 | Musician | Pan-African music, Album, Rise |
| @BreadBoi | 515,414 | Music Producer | Music, Bully, Rap |
| @iamprincekash | 409,985 | - | - |
| @GODDESSENTXXX | 391,059 | Pornstar | Chicago, Pornstar, Stripper Company |
| @tize4PF | 319,668 | Rapper | art, music, fashion |
| @jushendo | 298,523 | Content Creator | fighting, posting, promotion |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
39,101
Followers With Bio
60,899
Followers Without Bio
39.1%
% With Bio
60.9%
% 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 3,249 analyzed501,011
Combined Engagement
168,898
Total Likes
332,113
Total Retweets
100,202
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
100%
With Links
Topical Analysis:
RT @itsvivianlorena: I love Halloween https://t.co/Zx0LvJCbCk
RT @elonmusk: ur welcome https://t.co/e2KF57KLxb
Bruh… https://t.co/qaPITeC9SU
💀💀 https://t.co/7Z9VKI6ZqS
Tired of this shit man…idk what to do anymore.. everyone in my fucking group meeting this dude besides me… https://t.co/9YmsrLU0dJ
Key Insights & Takeaways
CashNasty's content often reflects personal frustration and feelings of isolation in professional settings. Their tweets frequently include links, suggesting they may share personal or business-related content. They use informal and colloquial language, which helps build a sense of connection with their audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,342,189
- + 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 @CashNasty reveals an exceptionally influential Twitter presence with 1,342,189 followers. The account demonstrates a content-creator strategy, averaging 1,655.6 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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