MASON VERSLUIS

MASON VERSLUIS

@MasonVersluis

Founder @paytienceio + @goldsquad777 + @thegoldpod 🧙🏻‍♂️

https://solo.to/masonversluis Joined 2018-09-12 Date of Analysis: Dec 16, 2025

169,064

Followers

2,717

Following

14,091

Tweets

541.5

Avg Engagement

495

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @MasonVersluis'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:2018-09-12
  • Verification:No
  • Location:Not specified

Data Summary

  • Tweets Analyzed:3,236
  • Avg Likes per Tweet:249.1
  • Avg Retweets per Tweet:292.4
  • Followers Analyzed:50,000
  • Following Analyzed:2,441

Engagement Analysis

Based on 3,236 tweets

His tweets receive high engagement, indicating a loyal and active audience. The use of verified accounts and collaborations with other influencers helps boost his reach and credibility.

249.1

Avg Likes/Tweet

292.4

Avg Retweets/Tweet

806,209

Total Likes

946,156

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

130

Median Likes

13

Median Retweets

345

75th Percentile

339,219

Top Tweet

3.2

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Broadcaster

Primarily shares original content

77.9%

Original

11.2%

Replies

7.4%

Retweets

3.6%

Quotes

0.0%

Threads

0.4%

With Media

28.7%

With Links

10.2%

With #Tags

26.8%

With @Mentions

41.6%

With Emojis

123

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.14

Reply/Original Ratio

0.49

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

73.1%

Weekday Posts

26.9%

Weekend Posts

Top Hashtags

#bitcoin (91) #xrp (40) #binance (17) #hedera (15) #crypto (15) #1 (14) #hbar (13) #ethereum (13) #qnt (10) #dogecoin (9)

Most Mentioned

@megbzk (117) @goldsquad777 (108) @watcherguru (85) @masonversluis (46) @elonmusk (43) @ripple (27) @bitboy_crypto (19) @hedera (16) @thegoldpod (15) @xspectar (15)

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Content Strategy Analysis

Based on 3,236 tweets

Content Type Distribution

Content Breakdown

Original Tweets 2,521 (78%)
Replies 361 (11%)
Retweets 238 (7%)
Quote Tweets 116 (4%)

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 238 retweets (7% 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 3,236 tweets

Engagement 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 followers

His audience is primarily interested in cryptocurrency, NFTs, and blockchain technology. They are likely active participants in the crypto community and follow trending topics.

Good

Audience Quality

18.3%

Suspicion Index

23.3%

Low-Quality %

42

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

35.5%

Empty Bio

17.4%

<10 Tweets

11.9%

Mass Following (>2K)

0.0%

New (<90 days)

34.7%

Low Ratio (<0.1)

0.0%

New (<180 days)

87.5%

No URL

11.0%

<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.

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Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

70,045,405

Total Potential Reach

42

Median Follower Reach

155

75th Percentile Reach

6.3%

>1K followers

1.0%

>10K followers

0.3%

>50K followers

0.2%

>100K followers

Creator vs Consumer Split

Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).

63.1%

Creators

31,539 accounts

19.5%

Consumers

9,743 accounts

17.4%

Dormant

8,718 accounts

1,482

Verified Followers

2.96% of total

8.0%

Professional Bios

founder, dev, analyst, etc.

0.15

Median Follow Ratio

follower/following

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):

United States (471) London, England (248) Canada (213) United Kingdom (192) Australia (186) Nigeria (179) USA (179) Metaverse (165) India (143) Earth (138)

2,485

Verified Followers

2.46% of total

5,474

Protected Accounts

5.42% of total

4 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 14,101,370 Wrestler Wrestling, Motivation, Self-promotion
@CryptoWeb3_NFT 4,367,554 - -
@kalnaga 2,771,086 Actor Satellites, NFT, Blockchain
@Biel 1,812,156 Singer Dad, singer, entrepreneur
@AndrewYang 1,697,851 Entrepreneur Entrepreneur, UBI, Human-Centered Economy
@coingecko 1,672,995 Crypto Market Tracker crypto, market analysis, blockchain
@AltcoinDailyio 1,360,085 - -
@SinghLions 1,333,690 Restaurateur Food, Travel, Influencer
@TheToriant 1,263,729 - -
@KalaniBallFree 1,243,630 Athlete Email Marketing, Entrepreneurship, Social Media

Top Keywords in Follower Bios

crypto (9,494) nft (4,359) xrp (2,893) web (2,217) life (2,167) enthusiast (2,144) love (1,999) nfts (1,995) investor (1,952) btc (1,709)

Top Hashtags in Follower Bios

#bitcoin (1,229) #crypto (1,173) #nft (1,097) #xrp (1,092) #btc (1,091) #eth (874) #bnb (563) #hbar (460) #nfts (440) #web3 (404)

62,532

Followers With Bio

38,451

Followers Without Bio

61.92%

% With Bio

38.08%

% 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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Viral Tweets

Top 5 by likes+RTs from 3,236 analyzed

616,502

Combined Engagement

0

Total Likes

616,502

Total Retweets

123,300

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

0%

With Links

Topical Analysis:

Cryptocurrency Nfts Blockchain News Giveaways Influencer Collaborations

Network & Following Analysis

Based on 2,441 accounts followed

Following Quality Signals

Who this account chooses to follow reveals their information diet and network quality.

63.6%

Verified Accounts

50.1%

High Authority (>50K)

100.0%

Dormant Accounts

2.1%

Low Quality

50,436

Median Reach of Followed Accounts

Heuristic analysis. For ML-powered bot detection, try our Bot Detector.

76.6%

Individuals

1,869 accounts

12.5%

Brands/Orgs

305 accounts

10.9%

Media/News

267 accounts

Most Influential Accounts They Follow

Account Followers Profession Interests
@elonmusk Elon Musk 154,999,502 Entrepreneur Space, Technology, Innovation
@realDonaldTrump Donald J. Trump 87,256,852 - -
@X X 66,567,215 Social Media Manager -
@Drake Drizzy 39,337,092 Rapper music, Toronto, Raptors
@POTUS President Biden 32,189,390 - -
@kanyewest ye 31,750,991 - -
@SpaceX SpaceX 31,279,103 Aerospace Engineer Space, Rockets, Innovation
@Reuters Reuters 25,689,688 News Agency news, pictures, videos
@MrBeast MrBeast 23,491,860 YouTuber Philanthropy, YouTube, Charity
@theweeknd Abel Tesfaye 17,289,944 Musician music, art, fashion

Key Insights & Takeaways

He frequently shares breaking news and updates about major crypto developments, which drives engagement. He runs giveaways and promotions to grow his audience and encourage retweets and follows. His content often includes collaborations with other influencers, which helps expand his reach and credibility.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 169,064
  • + 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 @MasonVersluis reveals an well-established Twitter presence with 169,064 followers. The account demonstrates a content-creator strategy, averaging 541.5 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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About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025