Michael Lee ∎
crypto + games. down the freedom + zk tech 🐇 🕳️ @zksync. formerly @activision @blizzard_ent
43,291
Followers
4,480
Following
2,282
Tweets
150.0
Avg Engagement
67
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @CashBowie'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:2014-03-05
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:2,020
- Avg Likes per Tweet:5.3
- Avg Retweets per Tweet:144.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 2,020 tweetsCashBowie's tweets receive an average of 389 likes and 64 retweets, indicating a moderate level of engagement. Their content is well-received, especially when it involves transparency and collaboration with other projects.
5.3
Avg Likes/Tweet
144.7
Avg Retweets/Tweet
10,656
Total Likes
292,329
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
15
Median Retweets
70
75th Percentile
49,784
Top Tweet
3.46
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
3.2%
Original
31.1%
Replies
63.2%
Retweets
2.5%
Quotes
0.0%
Threads
0.3%
With Media
68.6%
With Links
50.0%
With #Tags
96.8%
With @Mentions
43.5%
With Emojis
206
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
9.81
Reply/Original Ratio
0.04
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.9%
Weekday Posts
24.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,020 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 1,277 retweets (63% 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 2,020 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 followersTheir audience appears to be interested in blockchain, gaming, and decentralized technologies. They engage with a mix of followers who are likely crypto enthusiasts and gaming fans.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.0%
No URL
100.0%
<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.
18,871,744
Total Potential Reach
2
Median Follower Reach
14
75th Percentile Reach
2.3%
>1K followers
0.6%
>10K followers
0.2%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
448
Protected Accounts
4.48% of total
3 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 | 14,095,951 | Wrestler | Wrestling, Motivation, Self-promotion |
| @TheCryptoDog | 747,984 | Crypto Trader | Crypto trading, Bitcoin mining, Health & wellness |
| @Fwiz | 428,589 | Gaming Influencer | Gaming, YouTube, Ethereum |
| @Slasher | 379,906 | Esports Consultant | esports, gaming, internet culture |
| @spacefi_io | 197,971 | Blockchain Developer | Evmos, zkSync, Cosmos |
| @Era_Lend | 153,652 | - | - |
| @TitterDaily | 148,388 | - | - |
| @zkSyncTodayHi | 134,541 | Crypto Journalist | zkSync, Ethereum, Daily News |
| @GenePark | 124,228 | Games Reporter | Video games, Pacific culture, Journalism |
| @BuddhaSource | 123,507 | Entrepreneur | Crypto, Exchange, Bitcoin |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,239
Followers With Bio
5,761
Followers Without Bio
42.39%
% With Bio
57.61%
% 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 2,020 analyzed135,453
Combined Engagement
0
Total Likes
135,453
Total Retweets
27,091
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @FINALLEVEL: Alotta your so called favorite celebrities wont say a Fn word right now... They never have.. And they never will.. Pay Attention.
RT @VitalikButerin: And we finalized! Happy merge all. This is a big moment for the Ethereum ecosystem. Everyone who helped make the merge happen should feel very proud today.
RT @brian_armstrong: Twitter has broken just about every piece of this FTX story using blockchain analytics, while NYT is writing puff pieces on a criminal. Feels like a turning point for citizen journalism and loss of trust in MSM.
RT @dominic_w: Blockchain Singularity | ₿ Ξ ∞ https://t.co/eTGGi8Xma4
RT @tomwarren: Epic Games is trolling Apple with a "1984" Fortnite video. It's pretty... epic https://t.co/4a8DJfJa5b
Key Insights & Takeaways
They frequently mention blockchain and zero-knowledge tech, showing a strong focus on innovation in the space. Their tweets often include links to projects like @dfinity and #ICP, indicating collaboration and community involvement. They emphasize transparency and personal connections with their followers, which helps build trust and engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 43,291
- + 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 @CashBowie reveals an well-established Twitter presence with 43,291 followers. The account demonstrates a conversation-first approach, averaging 150.0 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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