WAX

WAX

@WAX_io

Collect digital collectibles & log into web3 applications on the carbon neutral WAX Blockchain. $WAXP 🗨️ Discord: https://discord.com/invite/dJtPetMdfb.

Worldwide https://wax.io/ Joined 2017-08-16 Date of Analysis: Dec 16, 2025

282,079

Followers

1,754

Following

15,495

Tweets

150.1

Avg Engagement

1,359

Listed

Yes

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @WAX_io'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:2017-08-16
  • Verification:Yes
  • Location:Worldwide

Data Summary

  • Tweets Analyzed:599
  • Avg Likes per Tweet:68.0
  • Avg Retweets per Tweet:82.1
  • Followers Analyzed:50,000
  • Following Analyzed:1,003

Engagement Analysis

Based on 599 tweets

The account maintains high engagement through interactive tweets, challenges, and rewards, encouraging followers to like, retweet, and comment. It also promotes other accounts and collaborates with influencers to expand reach.

68.0

Avg Likes/Tweet

82.1

Avg Retweets/Tweet

40,722

Total Likes

49,166

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

5

Median Likes

17

Median Retweets

129

75th Percentile

8,286

Top Tweet

0.53

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

29.9%

Original

39.1%

Replies

28.9%

Retweets

2.2%

Quotes

0.0%

Threads

0.0%

With Media

42.4%

With Links

41.2%

With #Tags

78.5%

With @Mentions

51.8%

With Emojis

136

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.31

Reply/Original Ratio

0.08

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

83.6%

Weekday Posts

16.4%

Weekend Posts

Top Hashtags

#waxnft (94) #nfts (53) #blockchain (47) #nft (45) #waxwednesday (25) #waxfam (24) #gaming (15) #web3 (11) #blockchaingaming (10) #waxp (10)

Most Mentioned

@wax_io (72) @atomichub (41) @bc_brawlers (31) @neftyblocks (24) @lukasrepublic (21) @theforgearena (21) @antelopeio (18) @aminacov (12) @nfthiveio (10) @senorlupe (10)

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Content Strategy Analysis

Based on 599 tweets

Content Type Distribution

Content Breakdown

Original Tweets 179 (30%)
Replies 234 (39%)
Retweets 173 (29%)
Quote Tweets 13 (2%)

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 173 retweets (29% 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 599 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

The primary audience includes crypto enthusiasts, NFT collectors, and web3 users interested in blockchain technology and digital assets. The community is active and engaged, with a focus on rewards and participation.

Average

Audience Quality

20.5%

Suspicion Index

19.7%

Low-Quality %

44

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

30.6%

Empty Bio

15.0%

<10 Tweets

14.9%

Mass Following (>2K)

0.0%

New (<90 days)

48.9%

Low Ratio (<0.1)

0.0%

New (<180 days)

83.1%

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.

48,751,231

Total Potential Reach

44

Median Follower Reach

153

75th Percentile Reach

5.7%

>1K followers

0.9%

>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).

64.1%

Creators

32,050 accounts

20.9%

Consumers

10,467 accounts

15.0%

Dormant

7,483 accounts

729

Verified Followers

1.46% of total

7.7%

Professional Bios

founder, dev, analyst, etc.

0.1

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):

India (284) Metaverse (256) United States (231) Indonesia (206) Nigeria (198) Ukraine (192) Bangladesh (168) Dhaka, Bangladesh (151) Lagos, Nigeria (122) USA (111)

1,233

Verified Followers

1.22% of total

2,788

Protected Accounts

2.76% 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
@ParisHilton 16,836,407 Entrepreneur business, updates, media
@rodrigovesgo 5,436,367 - -
@CryptoWeb3_NFT 4,362,972 - -
@okx 2,924,480 Cryptocurrency Exchange Bitcoin, Crypto, Exchange
@ClarissaYorke 2,593,248 Partner Manager Cyber security, Partner management, Gem hunting
@capturebizarre 2,424,354 Entertainment Entertainment, Leader, Bizarre
@riccardogems 1,459,357 Investor Crypto, Investing, Marketing
@MariMoon 1,448,258 Influencer Art, Music, Travel
@sofizamolo 1,124,942 Model Fashion, Television, Blogging
@BaronDavis 1,031,675 Entrepreneur Investor, Finesser, Creator

Top Keywords in Follower Bios

crypto (6,610) nft (6,042) web (2,428) love (2,013) nfts (1,887) blockchain (1,828) enthusiast (1,462) life (1,436) btc (1,418) eth (1,371)

Top Hashtags in Follower Bios

#nft (1,661) #crypto (1,011) #bitcoin (969) #btc (964) #eth (843) #metatime (693) #bnb (565) #web3 (525) #suiglobalrider (512) #byebyebirdie (506)

63,999

Followers With Bio

36,998

Followers Without Bio

63.37%

% With Bio

36.63%

% 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 599 analyzed

17,998

Combined Engagement

2,496

Total Likes

15,502

Total Retweets

3,600

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

60%

With Hashtags

80%

With @Mentions

60%

With Links

Topical Analysis:

Blockchain Nfts Community Engagement Rewards Web3 Crypto Promotions

Network & Following Analysis

Based on 1,003 accounts followed

Following Quality Signals

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

20.7%

Verified Accounts

22.6%

High Authority (>50K)

1.1%

Dormant Accounts

5.4%

Low Quality

4,885

Median Reach of Followed Accounts

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

59.6%

Individuals

598 accounts

38.7%

Brands/Orgs

388 accounts

1.7%

Media/News

17 accounts

Most Influential Accounts They Follow

Account Followers Profession Interests
@ Elon Musk 60,817,738 - -
@ Bill Gates 55,734,409 - -
@ Paris Hilton 16,826,731 - -
@ MrBeast 11,514,846 - -
@ MLB 9,311,818 - -
@ Twitch 8,764,510 - -
@ Mark Cuban 8,533,799 - -
@ Steve Aoki 8,213,928 - -
@ Twitter Support 6,862,531 - -
@ Steam 6,512,047 - -

Key Insights & Takeaways

The account uses weekly promotions and challenges to drive engagement and reward participation. It emphasizes community involvement through tasks like following, liking, and retweeting. Collaboration with influencers and other accounts helps expand its reach and credibility.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 282,079
  • + 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 @WAX_io reveals an well-established Twitter presence with 282,079 followers. The account demonstrates a conversation-first approach, averaging 150.1 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