FAKKU
FAKKU is the largest English hentai publisher in the world! [email protected]
253,827
Followers
1,433
Following
36,403
Tweets
213.0
Avg Engagement
831
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @FAKKU'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:2009-01-27
- Verification:No
- Location:Portland, OR
Data Summary
- Tweets Analyzed:3,241
- Avg Likes per Tweet:136.0
- Avg Retweets per Tweet:77.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,241 tweetsFAKKU's tweets typically receive an average of 1,786 likes and 191 retweets, indicating a dedicated and active fan base. The account's engagement is consistent, suggesting a loyal following.
136.0
Avg Likes/Tweet
77.0
Avg Retweets/Tweet
440,793
Total Likes
249,643
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
29
Median Likes
9
Median Retweets
289
75th Percentile
14,884
Top Tweet
0.84
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
34.5%
Original
48.2%
Replies
17.0%
Retweets
0.3%
Quotes
0.0%
Threads
0.1%
With Media
82.6%
With Links
3.7%
With #Tags
47.8%
With @Mentions
10.9%
With Emojis
67
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.4
Reply/Original Ratio
0.02
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
84.8%
Weekday Posts
15.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,241 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 551 retweets (17% 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 3,241 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 primarily consists of fans of anime and hentai content, with a global reach due to the account's international appeal. The followers are likely interested in new releases, collaborations, and merchandise.
Average
Audience Quality
33.0%
Suspicion Index
35.1%
Low-Quality %
13
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.9%
Empty Bio
34.9%
<10 Tweets
14.5%
Mass Following (>2K)
0.0%
New (<90 days)
80.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.1%
No URL
25.4%
<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.
44,379,631
Total Potential Reach
13
Median Follower Reach
45
75th Percentile Reach
2.3%
>1K followers
0.6%
>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).
44.9%
Creators
22,463 accounts
20.2%
Consumers
10,078 accounts
34.9%
Dormant
17,459 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):
258
Verified Followers
0.26% of total
24,386
Protected Accounts
24.39% of total
5 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 | 14,101,189 | Wrestler | Wrestling, Motivation, Self-promotion |
| @MiaMalkova | 3,360,627 | Adult entertainer | Nature, Instagram, Onlyfans |
| @bunnydelphine | 2,065,156 | Influencer | cats, cosplay, gaming |
| @violetsaucy | 1,771,294 | Adult Entertainer | Anime, Gaming, Modeling |
| @squishubunny | 1,242,229 | Cosplayer | Cosplay, Modeling, Vtuber |
| @ValeNappi | 1,043,068 | Adult Film Star | Adult, Actress, Model |
| @shadory_cos | 842,663 | Cosplayer | ero-cosplay, nsfw photo, alice |
| @urwaifuneptune | 831,498 | Meme Creator | Meme, Tsundere, Emo |
| @hime_tsu | 804,708 | Gravure Model | Gravure modeling, Vegas, OnlyFans |
| @OrdinaryGamers | 751,400 | YouTuber | Gaming, Videos, Gfuel |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
55,753
Followers With Bio
44,247
Followers Without Bio
55.75%
% With Bio
44.25%
% 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 3,241 analyzed49,831
Combined Engagement
0
Total Likes
49,831
Total Retweets
9,966
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @R_Kitada: 「……満足…？💢」 https://t.co/KNC2suxrpP
RT @_akchu: 👋☺❤ https://t.co/Uhhmf2yoj6
RT @uodenim: ハイレグ競泳水着BBちゃん。手前の絵なしレンズぼけなしはpixivにあります。 https://t.co/zFottT1SBv
RT @yukishin10: ホムヒカと温泉♨ https://t.co/ho81usxPej
RT @uodenim: 自分のドスケベボディと恰好に無自覚な三蔵ちゃん好き・・・ https://t.co/6DgRiXsYsp
Key Insights & Takeaways
The account frequently collaborates with influencers and creators to expand its brand reach. FAKKU uses events and in-person promotions to engage with its audience. The account emphasizes merchandise and collectibles as part of its brand strategy.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 253,827
- + 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 @FAKKU reveals an well-established Twitter presence with 253,827 followers. The account demonstrates a conversation-first approach, averaging 213.0 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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