NFTSTAR- MetaGoal Preseason is live now!
NFTSTAR revolutionizes sports with NFT drops featuring @neymarjr, @Sonny7, @LuisFigo. And a Web3-powered @metagoal_game featuring elite athletes.
166,144
Followers
236
Following
1,429
Tweets
367.9
Avg Engagement
69
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @THENFTSTAR'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:2021-05-28
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:599
- Avg Likes per Tweet:33.5
- Avg Retweets per Tweet:334.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 599 tweetsThe account consistently receives high average likes and retweets, indicating strong audience interaction. Promotional tweets with raffles and giveaways significantly boost engagement.
33.5
Avg Likes/Tweet
334.4
Avg Retweets/Tweet
20,047
Total Likes
200,331
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
7
Median Likes
5
Median Retweets
54
75th Percentile
51,285
Top Tweet
2.21
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
34.4%
Original
21.7%
Replies
25.5%
Retweets
18.4%
Quotes
0.0%
Threads
0.2%
With Media
68.1%
With Links
46.6%
With #Tags
57.1%
With @Mentions
65.8%
With Emojis
157
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.63
Reply/Original Ratio
0.72
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
86.3%
Weekday Posts
13.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 599 tweetsContent Type Distribution
Content Breakdown
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 153 retweets (26% 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 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 50,000 followersThe audience is primarily football (soccer) fans and Web3 enthusiasts interested in NFTs and blockchain gaming. They are likely active on social media and engaged with sports and tech trends.
Average
Audience Quality
29.7%
Suspicion Index
40.1%
Low-Quality %
5
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
52.6%
Empty Bio
35.1%
<10 Tweets
6.7%
Mass Following (>2K)
0.0%
New (<90 days)
67.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.2%
No URL
27.7%
<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.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
27,714,311
Total Potential Reach
5
Median Follower Reach
53
75th Percentile Reach
1.7%
>1K followers
0.3%
>10K followers
0.1%
>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).
42.4%
Creators
21,185 accounts
22.5%
Consumers
11,252 accounts
35.1%
Dormant
17,563 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):
160
Verified Followers
0.16% of total
393
Protected Accounts
0.39% of total
2 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 | 14,105,741 | Wrestler | Wrestling, Motivation, Self-promotion |
| @ZachBoychuk | 830,517 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @500K_______ | 455,658 | - | - |
| @Buncaw | 448,536 | - | - |
| @HeiraCrypto | 446,919 | - | - |
| @Otis_BTC | 429,609 | - | - |
| @TheMasterChain | 400,292 | Crypto Influencer | Crypto, NFT, Community |
| @pcastagnoli | 293,293 | Musician | Music, Technology, Entrepreneurship |
| @nickypromotes | 281,533 | Promoter | Crypto, NFT, Social |
| @idclrWorldPeace | 261,408 | Activist | Global peace, Power of intention, Art project |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
47,818
Followers With Bio
53,176
Followers Without Bio
47.35%
% With Bio
52.65%
% 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 599 analyzed125,044
Combined Engagement
0
Total Likes
125,044
Total Retweets
25,009
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @neymarjr: Deus 🙏 https://t.co/UvxW9dIi3R
RT @neymarjr: Jogo difícil, mas era importante ganhar. Parabéns equipe, primeiro passo dado… Faltam 6 💙💚💛🇧🇷 https://t.co/vNQXljRz3e
RT @neymarjr: O pai tá on e roteando ✋🏽😝🤚🏽 https://t.co/AXDIlPVk6s
RT @NeymarJrSite: A partir das 17h 👊
RT @neymarjr: Alegria Alegria ✋🏽😝🤚🏽 https://t.co/0abZFowu6b
Key Insights & Takeaways
High engagement is driven by sports-themed NFT drops and collaborations with famous athletes. Promotional tweets with raffles and giveaways attract a large audience and boost interaction. The account's focus on Web3 gaming and blockchain technology positions it as a niche but growing market within the sports and tech space.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 166,144
- + 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 @THENFTSTAR reveals an well-established Twitter presence with 166,144 followers. The account demonstrates a content-creator strategy, averaging 367.9 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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