瀬戸大也
Daiya Seto
176,651
Followers
596
Following
9,991
Tweets
515.6
Avg Engagement
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @daiya_seto'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:2011-03-21
- Verification:No
- Location:Japan
Data Summary
- Tweets Analyzed:3,194
- Avg Likes per Tweet:421.0
- Avg Retweets per Tweet:94.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,194 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. The content is relatable and emotionally engaging, contributing to the high engagement rates.
421.0
Avg Likes/Tweet
94.6
Avg Retweets/Tweet
1,344,717
Total Likes
302,097
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
0
Median Retweets
116
75th Percentile
148,747
Top Tweet
2.92
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
19.6%
Original
66.8%
Replies
11.6%
Retweets
1.9%
Quotes
0.0%
Threads
0.2%
With Media
24.3%
With Links
10.8%
With #Tags
78.3%
With @Mentions
29.0%
With Emojis
51
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.4
Reply/Original Ratio
0.17
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
65.0%
Weekday Posts
35.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,194 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 371 retweets (12% 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 3,194 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 followersHis audience primarily consists of fans of his swimming career and individuals interested in personal updates. The audience is likely to be supportive and interested in his life beyond sports.
Average
Audience Quality
27.2%
Suspicion Index
36.6%
Low-Quality %
14
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
47.4%
Empty Bio
35.8%
<10 Tweets
7.6%
Mass Following (>2K)
0.0%
New (<90 days)
55.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.0%
No URL
25.9%
<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.
22,153,728
Total Potential Reach
14
Median Follower Reach
110
75th Percentile Reach
3.2%
>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).
44.4%
Creators
22,201 accounts
19.8%
Consumers
9,882 accounts
35.8%
Dormant
17,917 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):
88
Verified Followers
0.09% of total
22,039
Protected Accounts
21.82% of total
6 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 |
|---|---|---|---|
| @kskgroup2017 | 1,777,014 | Entrepreneur | Angel investor, Entrepreneur, Soccer |
| @elly24soul | 1,208,073 | Entertainer | Music, Dance, Fashion |
| @YojiNoda1 | 1,099,495 | Musician | Music, Band, Singer |
| @udon_lov | 1,036,681 | Food Blogger | Udon, Low Activity, Follow for Happiness |
| @TeppenTenshin | 786,007 | Athlete | TARGET, Cygames, Artist |
| @Mentalist_DaiGo | 702,685 | Mentalist | psychology, knowledge, audiobooks |
| @tawarayat | 518,241 | Technologist | technology, community radio, education |
| @racheltjhia | 450,120 | Entrepreneur | Fashion, Travel, Lifestyle |
| @olympicchannel | 414,644 | Sports Media | Sport, Olympics, Inspiration |
| @kohmi | 353,816 | Singer | music, singer-songwriter, TikTok |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
44,753
Followers With Bio
56,246
Followers Without Bio
44.31%
% With Bio
55.69%
% 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 3,194 analyzed304,379
Combined Engagement
225,723
Total Likes
78,656
Total Retweets
60,876
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
皆さまにご報告があります。本日5月24日に飛び込み選手の馬淵優佳さんと入籍致しました。これからより一層気合を入れてまずは夏に行われる世界水泳、そして2020年東京五輪で最高の結果を残せるよう励んでいきます。まだまだ未熟な2人ですがこれからも変わらぬご声援をよろしくお願い致します。 https://t.co/gVZfoECWQu
ご報告 6月26日12時14分に3968gの元気な女の子が産まれました。 産まれて来てくれた娘と頑張ってくれた優佳に感謝です🙏 パパ頑張ります!!
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リオデジャネイロオリンピック初日の400m個人メドレーで銅メダルでした!沢山の応援ありがとうございます!次は明後日の200mバタフライなので切り替えて頑張ります!#Rio2016 #swimming https://t.co/LAk7nIX5am
伊藤美誠ちゃんにやっと会えた!お互い少女時代好きのユナファンです(*^^*)卓球の団体戦の活躍に期待です👏 明日もトビウオジャパンのレースがあるので応援よろしくお願いします!! #Rio2016 #がんばれニッポン https://t.co/VGTeYdQ848
Key Insights & Takeaways
His personal milestones, such as marriage and fatherhood, are major topics of discussion. He maintains a balance between his professional and personal life in his tweets. His audience is highly engaged and supportive of his personal journey.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 176,651
- + 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 @daiya_seto reveals an well-established Twitter presence with 176,651 followers. The account demonstrates a conversation-first approach, averaging 515.6 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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