DavidCash.eth ᵍᵐ
Building @cashlabs_ | Writing about fashion + tech @voguesingapore | Founder of Metaverse Fashion Week | Curator | Lecturer | 🇨🇦 | 🏳️🌈 | 2x Cancer Survivor
5,594
Followers
1,622
Following
5,133
Tweets
16.9
Avg Engagement
93
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @davidcash888'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: Micro Influencer (1K+)
- Account Age:2011-10-16
- Verification:No
- Location:The Metaverse
Data Summary
- Tweets Analyzed:594
- Avg Likes per Tweet:3.7
- Avg Retweets per Tweet:13.2
- Followers Analyzed:5,416
- Following Analyzed:1,610
Engagement Analysis
Based on 594 tweetsHis tweets generally receive moderate engagement, with an average of 51 likes and 13 retweets. He often shares promotional content and personal updates, which aligns with his engagement patterns.
3.7
Avg Likes/Tweet
13.2
Avg Retweets/Tweet
2,189
Total Likes
7,827
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
8
75th Percentile
2,435
Top Tweet
3.01
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
13.5%
Original
49.2%
Replies
29.6%
Retweets
7.7%
Quotes
0.0%
Threads
0.8%
With Media
26.4%
With Links
9.6%
With #Tags
85.9%
With @Mentions
43.9%
With Emojis
91
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.65
Reply/Original Ratio
0.26
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
92.6%
Weekday Posts
7.4%
Weekend Posts
Top Hashtags
Most Mentioned
Want This Report as PDF?
We're building PDF export for these analytics reports. Register your interest to get early access.
Content Strategy Analysis
Based on 594 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 176 retweets (30% 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 594 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 5,416 followersHis followers are likely interested in fashion, technology, and Web3, with a focus on NFTs and the metaverse. The audience may include industry professionals, entrepreneurs, and enthusiasts.
Good
Audience Quality
15.7%
Suspicion Index
8.9%
Low-Quality %
441
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
14.4%
Empty Bio
6.8%
<10 Tweets
32.7%
Mass Following (>2K)
0.0%
New (<90 days)
21.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
46.5%
No URL
3.3%
<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.
33,619,754
Total Potential Reach
441
Median Follower Reach
1,944
75th Percentile Reach
36.3%
>1K followers
7.6%
>10K followers
1.7%
>50K followers
1.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
77.2%
Creators
4,180 accounts
16.0%
Consumers
866 accounts
6.8%
Dormant
370 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):
715
Verified Followers
13.2% of total
246
Protected Accounts
4.54% of total
7 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 |
|---|---|---|---|
| @6BillionPeople | 2,038,025 | - | - |
| @SinghLions | 1,335,665 | Restaurateur | Food, Travel, Influencer |
| @BrianDEvans | 1,141,475 | Entrepreneur | NFTs, Crypto, Digital Marketing |
| @ZachBoychuk | 830,528 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @e_FashionPolice | 708,398 | Entertainment | Fashion, E!, Police |
| @decentraland | 631,442 | Virtual World | Virtual world, Social, User-owned |
| @BT | 613,069 | Music Producer | Trance, Software Design, Film Composer |
| @fleurpellerin | 612,272 | Venture Capitalist | FrenchTech, Venture Capital, Innovation |
| @FashionweekNYC | 574,059 | Fashion Blogger | Fashion, Culture, Runways |
| @DaveVescio | 539,414 | Actor | Movies, Art, Transformation |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,637
Followers With Bio
779
Followers Without Bio
85.62%
% With Bio
14.38%
% 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.
Buy Follower Data
Export full follower list with profile details, bios, locations, and follower counts as CSV.
Buy Followers - from $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 594 analyzed4,577
Combined Engagement
0
Total Likes
4,577
Total Retweets
915
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @gainzy222: calling it now, jonah hill plays sam in the subsequent movie made after all this shit unfolds https://t.co/w8HAovq55e
RT @dressxcom: 💎The DRESSX GENESIS💎 Welcome to the first generative fashion drop of its kind 💦Dropping 11.16 Sign up here - https://t.co…
RT @allseeingseneca: I think it's time to reintroduce myself. Hi, I'm Seneca and I'm the original character designer behind the Bored Ape…
RT @SHOWstudio: ikon-1 mints next Thursday! Are you ready for the digital fashion NFT collection by Nick Knight and SHOWstudio Supply:…
RT @DrifterShoots: Things Royalties did for me since releasing Where My Vans Go 1. Pay off my moms house 2. Start new lives for two friend…
Network & Following Analysis
Based on 1,610 accounts followedFollowing Quality Signals
Who this account chooses to follow reveals their information diet and network quality.
44.6%
Verified Accounts
22.0%
High Authority (>50K)
100.0%
Dormant Accounts
3.0%
Low Quality
7,427
Median Reach of Followed Accounts
Heuristic analysis. For ML-powered bot detection, try our Bot Detector.
80.8%
Individuals
1,301 accounts
10.7%
Brands/Orgs
173 accounts
8.4%
Media/News
136 accounts
Most Influential Accounts They Follow
| Account | Followers | Profession | Interests |
|---|---|---|---|
| @elonmusk Elon Musk | 154,936,089 | Entrepreneur | Space, Technology, Innovation |
| @EllenDeGeneres Ellen DeGeneres | 75,185,642 | - | - |
| @KimKardashian Kim Kardashian | 75,118,239 | Entrepreneur | Fragrance, Skims, Beauty |
| @X X | 66,563,492 | Social Media Manager | - |
| @Drake Drizzy | 39,336,915 | Rapper | music, Toronto, Raptors |
| @chrisbrown Chris Brown | 31,634,988 | Musician | Music, Dance, Remix |
| @ActuallyNPH Neil Patrick Harris | 24,679,699 | Actor | Husband, father, random sayer |
| @SnoopDogg Snoop Dogg | 20,738,934 | Rapper | music, cannabis, entertainment |
| @WSJ The Wall Street Journal | 20,538,988 | News outlet | news, finance, business |
| @TIME TIME | 19,342,879 | News | News, current events, global |
Key Insights & Takeaways
He leverages his platform to promote NFT projects and events like Metaverse Fashion Week. He shares personal milestones, which helps build a more relatable and authentic brand. His content often blends fashion, tech, and Web3, appealing to a niche but engaged audience.
Strengths
- + Established follower base of 5,594
- + 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 @davidcash888 reveals an growing Twitter presence with 5,594 followers. The account demonstrates a conversation-first approach, averaging 16.9 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.
Need Programmatic Access?
We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.
Register Interest for API Access