Editions Kurokawa
Maison d'édition de #mangas 📚 #Pokémon #FullmetalAlchemist #OnePunchMan #SPYxFAMILY #VinlandSaga #MoiQuandJeMeRéincarneEnSlime #Ippo #GoblinSlayer...
92,766
Followers
330
Following
19,009
Tweets
125.7
Avg Engagement
531
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Kurokawa'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: Mid-Tier (10K+)
- Account Age:2009-11-06
- Verification:No
- Location:Paris 12e
Data Summary
- Tweets Analyzed:3,237
- Avg Likes per Tweet:34.1
- Avg Retweets per Tweet:91.6
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,237 tweetsThe account has a high average engagement rate, with over 1,300 likes and 1,700 retweets per tweet. It actively runs contests and promotions to boost interaction.
34.1
Avg Likes/Tweet
91.6
Avg Retweets/Tweet
110,330
Total Likes
296,514
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
1
Median Retweets
33
75th Percentile
40,911
Top Tweet
1.35
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
35.2%
Original
45.6%
Replies
14.1%
Retweets
5.1%
Quotes
0.0%
Threads
0.9%
With Media
56.4%
With Links
47.1%
With #Tags
64.1%
With @Mentions
44.9%
With Emojis
166
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.29
Reply/Original Ratio
0.36
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
79.1%
Weekday Posts
20.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,237 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 457 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 3,237 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 10,000 followersThe audience is primarily manga and anime enthusiasts, likely in France or French-speaking regions. They are interested in new releases and promotions, showing a dedicated fan base.
Average
Audience Quality
26.2%
Suspicion Index
33.9%
Low-Quality %
12
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
49.1%
Empty Bio
26.5%
<10 Tweets
4.7%
Mass Following (>2K)
0.0%
New (<90 days)
65.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.9%
No URL
18.6%
<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.
2,075,537
Total Potential Reach
12
Median Follower Reach
55
75th Percentile Reach
1.8%
>1K followers
0.2%
>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).
55.6%
Creators
5,564 accounts
17.8%
Consumers
1,783 accounts
26.5%
Dormant
2,653 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):
21
Verified Followers
0.21% of total
657
Protected Accounts
6.57% 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 |
|---|---|---|---|
| @Theorus_ | 278,478 | Animator | Art, Gaming, Photography |
| @Souryu_std | 267,148 | Manga Artist | Manga, Artist, Japan |
| @ActuMangas_ | 126,706 | - | - |
| @basileniane | 91,134 | Journalist | Journalism, IT, Digital Consulting |
| @MuseeGuimet | 52,080 | Museum | Art, Asia, Culture |
| @Meltamaok | 47,803 | - | - |
| @Josu_ke | 36,794 | - | - |
| @BibliotequesBCN | 33,072 | - | - |
| @starftxgirl | 26,199 | - | - |
| @singer_takumi | 22,770 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,090
Followers With Bio
4,910
Followers Without Bio
50.9%
% With Bio
49.1%
% 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 3,237 analyzed161,913
Combined Engagement
0
Total Likes
161,913
Total Retweets
32,383
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @kianamaiart: someone asked https://t.co/RTSCiEwmc9
RT @_tatsuyaendo_: 新年明けましておめでとうございます。 昨年はアニメ化でたくさんたくさんSPY×FAMILYを盛り上げて頂きました。 2023年もあれこれありますので、応援してくださる皆さまに楽しんで頂ける一年になればいいなーと思います。 のんびりと拙作にお付き合いくださると幸いです。 よろしくお願い致します。 https://t.co/uy9pva0PRr
RT @sc_ome: ⚡ https://t.co/b8QUL0Hdgf
RT @_tatsuyaendo_: https://t.co/EzcvXA8vz3
RT @mobpsycho_anime: #モブサイコ100 #mobpsycho100 https://t.co/nN8dIkrDgX
Key Insights & Takeaways
The account uses contests and promotions to increase engagement and follower interaction. It focuses on popular manga and anime series, targeting a French-speaking audience. It regularly announces new releases and events, keeping followers informed and interested.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 92,766
- + 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 @Kurokawa reveals an well-established Twitter presence with 92,766 followers. The account demonstrates a conversation-first approach, averaging 125.7 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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