andr3w

andr3w

@andr3w

footballer

ny Joined 2016-02-15 Date of Analysis: Dec 16, 2025

184,703

Followers

6,982

Following

27,056

Tweets

318.9

Avg Engagement

1,873

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @andr3w'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:2016-02-15
  • Verification:No
  • Location:ny

Data Summary

  • Tweets Analyzed:3,246
  • Avg Likes per Tweet:23.3
  • Avg Retweets per Tweet:295.6
  • Followers Analyzed:50,000
  • Following Analyzed:6,331

Engagement Analysis

Based on 3,246 tweets

His tweets receive a high number of likes and retweets, indicating a loyal and active audience.

23.3

Avg Likes/Tweet

295.6

Avg Retweets/Tweet

75,701

Total Likes

959,539

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

3

Median Likes

1

Median Retweets

84

75th Percentile

224,951

Top Tweet

1.73

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Conversationalist

Highly engaged in discussions

21.4%

Original

61.7%

Replies

13.6%

Retweets

3.3%

Quotes

0.0%

Threads

0.5%

With Media

23.5%

With Links

0.7%

With #Tags

72.2%

With @Mentions

14.8%

With Emojis

84

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

2.88

Reply/Original Ratio

0.24

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

76.3%

Weekday Posts

23.7%

Weekend Posts

Top Hashtags

#newprofilepic (3) #superpuma (2) #100 (1) #5269 (1) #nftnyc (1) #novonyc (1) #201 (1) #500 (1) #coolcatsnft (1) #coolcats (1)

Most Mentioned

@webthreefc (159) @andr3w (87) @mauiwrld_ (67) @tobylasso (65) @belfortnft (39) @yournthlayer (39) @vinniehager (33) @web3adam (26) @sgsand1 (25) @lucanetz (23)

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Content Strategy Analysis

Based on 3,246 tweets

Content Type Distribution

Content Breakdown

Original Tweets 694 (21%)
Replies 2,002 (62%)
Retweets 442 (14%)
Quote Tweets 108 (3%)

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 442 retweets (14% 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 3,246 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 followers likely include sports fans and crypto enthusiasts, given the mix of topics in his tweets.

Good

Audience Quality

16.9%

Suspicion Index

14.0%

Low-Quality %

137

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

19.4%

Empty Bio

13.9%

<10 Tweets

21.4%

Mass Following (>2K)

0.0%

New (<90 days)

30.1%

Low Ratio (<0.1)

0.0%

New (<180 days)

73.2%

No URL

8.7%

<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.

135,675,379

Total Potential Reach

137

Median Follower Reach

655

75th Percentile Reach

19.0%

>1K followers

3.1%

>10K followers

0.7%

>50K followers

0.3%

>100K followers

Creator vs Consumer Split

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

62.1%

Creators

31,069 accounts

24.0%

Consumers

11,979 accounts

13.9%

Dormant

6,952 accounts

4,836

Verified Followers

9.67% of total

17.2%

Professional Bios

founder, dev, analyst, etc.

0.2

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):

Metaverse (734) Los Angeles CA (379) United States (367) Web3 (227) London England (223) Singapore (205) New York USA (197) United Kingdom (169) Australia (159) New York NY (152)

5,469

Verified Followers

5.47% of total

2,871

Protected Accounts

2.87% 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
@DONJAZZY 7,619,638 Music Producer Music, Mavin, Activated
@MarioGoetze 4,134,179 Footballer Football, Sports, Gaming
@Banks 2,811,640 Gamer gaming, internet, music
@SergiRoberto10 2,632,899 Footballer Football, FCBarcelona, Snapchat
@SirKunt 2,251,851 - -
@opensea 2,020,640 NFT Marketplace NFTs, Marketplace, Discover
@PUMA 2,011,388 Athleticwear speed, spontaneity, performance
@BabyDogeCoin 1,909,091 - -
@ijustine 1,856,456 YouTuber tech, video games, podcast
@kevinrose 1,671,695 Venture Capitalist Podcasts, Collecting, DAOs

Top Keywords in Follower Bios

nft (17,836) web (7,872) crypto (7,491) nfts (6,640) artist (4,894) art (4,705) enthusiast (3,275) collector (3,077) digital (2,623) eth (2,414)

Top Hashtags in Follower Bios

#nft (3,462) #nfts (1,150) #crypto (1,054) #eth (947) #web3 (921) #bitcoin (900) #btc (679) #metaverse (362) #nftartist (350) #nftcommunity (348)

81,138

Followers With Bio

18,862

Followers Without Bio

81.14%

% With Bio

18.86%

% 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 3,246 analyzed

549,183

Combined Engagement

0

Total Likes

549,183

Total Retweets

109,837

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

40%

With Links

Topical Analysis:

Football Cryptocurrency Personal Milestones

Network & Following Analysis

Based on 6,331 accounts followed

Following Quality Signals

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

45.8%

Verified Accounts

19.3%

High Authority (>50K)

100.0%

Dormant Accounts

4.2%

Low Quality

7,874

Median Reach of Followed Accounts

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

82.1%

Individuals

5,195 accounts

8.5%

Brands/Orgs

539 accounts

9.4%

Media/News

597 accounts

Most Influential Accounts They Follow

Account Followers Profession Interests
@elonmusk Elon Musk 155,081,426 Entrepreneur Space, Technology, Innovation
@realDonaldTrump Donald J. Trump 87,262,217 - -
@X X 66,573,368 Social Media Manager -
@KingJames LeBron James 52,708,608 Athlete Basketball, Family, Philanthropy
@premierleague Premier League 42,125,008 Sports Organization Football, Fantasy, Global
@kanyewest ye 31,750,280 - -
@LFC Liverpool FC 23,997,097 Sports Team Football, Anti-hate, Unity
@VancityReynolds Ryan Reynolds 21,494,324 Actor gin, mobile, soccer
@KDTrey5 Kevin Durant 20,853,867 Basketball Player Basketball, Entrepreneurship, Media
@FabrizioRomano Fabrizio Romano 18,571,173 Journalist Football, Transfers, News

Key Insights & Takeaways

He frequently interacts with his audience through crypto-related bets and challenges. His content often includes personal milestones and reflections. He leverages his football background to engage with both sports and crypto communities.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 184,703
  • + 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 @andr3w reveals an well-established Twitter presence with 184,703 followers. The account demonstrates a conversation-first approach, averaging 318.9 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.

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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