Maufin
@riddleorder l @wickesyfn l @yukiaim
384,159
Followers
1,637
Following
11,666
Tweets
1,103.5
Avg Engagement
830
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Maufinfn'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:2017-10-23
- Verification:No
- Location:contact : [email protected]
Data Summary
- Tweets Analyzed:597
- Avg Likes per Tweet:1,023.7
- Avg Retweets per Tweet:79.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 597 tweetsTheir tweets receive a high average number of likes and retweets, indicating strong audience interaction. The content is varied, ranging from personal updates to major announcements.
1,023.7
Avg Likes/Tweet
79.8
Avg Retweets/Tweet
611,121
Total Likes
47,647
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
450
Median Likes
11
Median Retweets
1,382
75th Percentile
57,483
Top Tweet
2.87
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
41.5%
Original
54.3%
Replies
1.5%
Retweets
2.7%
Quotes
0.0%
Threads
0.0%
With Media
22.9%
With Links
1.7%
With #Tags
56.1%
With @Mentions
9.2%
With Emojis
20
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.31
Reply/Original Ratio
1.78
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.2%
Weekday Posts
27.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 597 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 9 retweets (2% 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 597 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 followersTheir audience likely includes gaming enthusiasts, particularly those interested in Fortnite and competitive play. They also engage with fans and fellow content creators.
Average
Audience Quality
25.0%
Suspicion Index
32.3%
Low-Quality %
12
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.0%
Empty Bio
36.6%
<10 Tweets
4.4%
Mass Following (>2K)
0.0%
New (<90 days)
51.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.7%
No URL
23.5%
<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.
26,864,384
Total Potential Reach
12
Median Follower Reach
81
75th Percentile Reach
3.7%
>1K followers
0.3%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
35.9%
Creators
17,938 accounts
27.6%
Consumers
13,783 accounts
36.6%
Dormant
18,279 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):
198
Verified Followers
0.2% of total
10,149
Protected Accounts
10.15% of total
1 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 | 14,105,730 | Wrestler | Wrestling, Motivation, Self-promotion |
| @_amatsuki_ | 1,678,013 | Singer | Singing, Songwriting, Voice Acting |
| @SeikinTV | 1,258,623 | YouTuber | Music, YouTube, Songwriting |
| @Gero2525 | 589,705 | YouTuber | 肉, YouTube, サブ垢 |
| @taysonFN | 515,447 | Professional Gamer | Fortnite, eSports, Competitive gaming |
| @Khanada | 438,435 | Professional Gamer | Fortnite, Gaming, Business |
| @kinako_pop | 356,707 | Artist | CrazyRaccoon, fan art, work opportunities |
| @pgodtv | 331,300 | Gamer | Gaming, Twitch, NFTs |
| @VadealFN | 311,495 | Professional Gamer | Fortnite, Gaming, Esports |
| @a_b_u_cha | 299,816 | Musician | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
57,682
Followers With Bio
42,318
Followers Without Bio
57.68%
% With Bio
42.32%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 597 analyzed120,687
Combined Engagement
102,598
Total Likes
18,089
Total Retweets
24,137
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
60%
With Links
Topical Analysis:
プロとしてのフォートナイトの競技を無期限休止します。 約4年間応援ありがとうございました！ これからも応援よろしくお願いします。
FortniteからValorantに移行するに連れてNORTHEPTIONのValorant部門に移籍させていただくことになりました 応援よろしくお願いします https://t.co/rokGTyqcYO
たんじょうびーー❕❕おめでとう自分！
フォートナイト再開します！DUO✅ 🧁 x ？？？ https://t.co/eDUTDvKD19
DUO ANNOUNCEMENT Maufin x Rimr🔙 ! north slappy https://t.co/UiSBVdLCuc
Key Insights & Takeaways
They are actively involved in the Fortnite competitive scene and have made a public announcement about stepping back from professional play. They maintain a personal and relatable tone, sharing milestones like birthdays. They collaborate with other creators, such as Rimr, and promote their content through links.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 384,159
- + 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 @Maufinfn reveals an exceptionally influential Twitter presence with 384,159 followers. The account demonstrates a conversation-first approach, averaging 1,103.5 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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