藤原大祐 Taiyu Fujiwara
24153
Followers
79
Following
716
Tweets
1123,6
Avg Engagement
112
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @taiyu_fujiwara'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:2020-07-09
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:1006,2
- Avg Retweets per Tweet:117,4
- Followers Analyzed:24788
Engagement Analysis
Based on 500 tweetsThe account has a high average number of likes and retweets, indicating strong audience interaction. The engagement is likely driven by the promotion of movies and celebrity-related content.
1006,2
Avg Likes/Tweet
117,4
Avg Retweets/Tweet
503120
Total Likes
58701
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
862
Median Likes
86
Median Retweets
1470
75th Percentile
16282
Top Tweet
46,52
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
51,2%
Original
3,0%
Replies
17,4%
Retweets
28,4%
Quotes
0,0%
Threads
0,8%
With Media
78,4%
With Links
52,0%
With #Tags
28,6%
With @Mentions
46,4%
With Emojis
69
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0,06
Reply/Original Ratio
1,63
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77,2%
Weekday Posts
22,8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 500 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 87 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 500 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 24788 followersThe audience likely includes fans of Japanese cinema and actors, as well as general entertainment enthusiasts. The content appeals to those interested in movie releases and celebrity culture.
Good
Audience Quality
19,1%
Suspicion Index
23,2%
Low-Quality %
19
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35,5%
Empty Bio
15,8%
<10 Tweets
4,9%
Mass Following (>2K)
0,0%
New (<90 days)
50,7%
Low Ratio (<0.1)
0,0%
New (<180 days)
90,0%
No URL
10,9%
<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.
13815569
Total Potential Reach
19
Median Follower Reach
109
75th Percentile Reach
2,0%
>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).
69,8%
Creators
17298 accounts
14,4%
Consumers
3574 accounts
15,8%
Dormant
3916 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):
34
Verified Followers
0.14% of total
9016
Protected Accounts
36.37% 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 |
|---|---|---|---|
| @345__chan | 3411933 | Entertainer | Running, Fitness, Music |
| @cx_mezamashi | 811086 | TV Show | Entertainment, TV shows, Broadcasting |
| @ryogomatsumaru | 725930 | Game Developer | Puzzle solving, Pokemon, Vocaloid |
| @thetvjp | 634537 | Entertainment | Drama, Anime, News |
| @hinachimuu | 626173 | Actress | Chinese, Skincare, Horipro |
| @TGCnews | 371161 | Event Organizer | Fashion, Events, Tokyo |
| @yuki_furukawaHP | 346913 | - | - |
| @riko_riko1204 | 317396 | Influencer | Anime, Gaming, Music |
| @sgs109com | 291027 | Fashion Blogger | Fashion, Street Snap, Harajuku |
| @Miracle_Fusion | 245387 | Quiz Master | Quiz, FairWind, TQC |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
16003
Followers With Bio
8785
Followers Without Bio
64.56%
% With Bio
35.44%
% 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 500 analyzed42800
Combined Engagement
39314
Total Likes
3486
Total Retweets
8560
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
親友とディズニー行ってきた☺︎ https://t.co/MEshMU3sxe
🍊 @moekare_movie #モエカレ 映画「#モエカレはオレンジ色 」公開中です！ 三鷹っちを宜しくお願いしますっ😚 #三鷹柊人 きゅん🧡 https://t.co/SVTd6A7P4P
映画「#モエカレはオレンジ色 」 三鷹柊人役を演じさせて頂きました！ 7/8劇場公開です！ お楽しみに😊 #モエカレ https://t.co/smlrxd1zyS
これで出来てるのかな。 いいね押したら卵になるらしい🙄 #BrandedLikes
いぇーーい！浮ピー！！❤️ https://t.co/AXyPpAxd6W
Key Insights & Takeaways
The user frequently promotes movie releases and actor-related content, which suggests a focus on entertainment news and media. They engage with their audience through personal updates and interactions, building a sense of community. The use of hashtags and links to external content indicates an effort to drive traffic and increase visibility.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 24153
- + 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 @taiyu_fujiwara reveals an exceptionally influential Twitter presence with 24153 followers. The account demonstrates a content-creator strategy, averaging 1123,6 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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