稲垣 啓太 Keita Inagaki
Rugby player. https://www.facebook.com/unsupportedbrowser
185,232
Followers
196
Following
1,620
Tweets
2,454.3
Avg Engagement
777
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Gaki_keita01'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:2012-02-02
- Verification:No
- Location:新潟／東京
Data Summary
- Tweets Analyzed:1,554
- Avg Likes per Tweet:2,050.2
- Avg Retweets per Tweet:404.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,554 tweetsThe account has a high average number of likes and retweets, indicating strong fan interaction and support.
2,050.2
Avg Likes/Tweet
404.1
Avg Retweets/Tweet
3,186,056
Total Likes
628,002
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
6
Median Likes
29
Median Retweets
636
75th Percentile
341,765
Top Tweet
13.25
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
28.0%
Original
20.5%
Replies
35.9%
Retweets
15.6%
Quotes
0.0%
Threads
0.2%
With Media
62.0%
With Links
40.0%
With #Tags
58.6%
With @Mentions
18.0%
With Emojis
79
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.73
Reply/Original Ratio
0.43
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
63.1%
Weekday Posts
36.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,554 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 558 retweets (36% 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 1,554 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 rugby fans and supporters, with a significant interest in sports and personal stories.
Good
Audience Quality
19.8%
Suspicion Index
28.0%
Low-Quality %
47
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.4%
Empty Bio
21.5%
<10 Tweets
6.5%
Mass Following (>2K)
0.0%
New (<90 days)
40.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.4%
No URL
14.6%
<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.
15,466,667
Total Potential Reach
47
Median Follower Reach
221
75th Percentile Reach
3.8%
>1K followers
0.2%
>10K followers
0.0%
>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).
62.1%
Creators
31,049 accounts
16.4%
Consumers
8,206 accounts
21.5%
Dormant
10,745 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):
106
Verified Followers
0.1% of total
27,302
Protected Accounts
27.03% of total
7 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 |
|---|---|---|---|
| @h_ototake | 877,274 | Author | Disability advocate, author, motivational speaker |
| @TeppenTenshin | 786,004 | Athlete | TARGET, Cygames, Artist |
| @ZIP_TV | 773,000 | TV Show | Entertainment, News, Television |
| @thetvjp | 633,510 | Entertainment | Drama, Anime, News |
| @Gorgeous55555 | 436,289 | Entertainer | 特撮, アメコミ, 宇宙海賊 |
| @matsu_dice | 326,454 | Baseball | Baseball, Golf, Fishing |
| @numberweb | 264,286 | Sports journalist | Sports, Magazine, Articles |
| @prdtrt_shop | 247,734 | Cosplayer | Cosplay, Thigh-highs, Photography |
| @manabu0037 | 242,969 | Traveler | Yokohama, Ehime, Kawasaki |
| @conquerer1 | 237,300 | Entertainer | MUSIC, AWARDS, CELEBRITIES |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
57,189
Followers With Bio
43,810
Followers Without Bio
56.62%
% With Bio
43.38%
% 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 1,554 analyzed980,003
Combined Engagement
772,381
Total Likes
207,622
Total Retweets
196,001
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
日本代表のW杯は終わった。応援して頂いた多くの方に感謝を伝えたい。南アフリカの1番ムタワリラ選手。彼をずっと尊敬していたし、それは試合が終わった今でもそう。俺に対して危険なタックルがあったかもしれない。でも故意でないのは分かっている。気にしなくていい、ありがとう。優勝してくれよな。 https://t.co/WaERj5HSWA
歴史を作った。ここから更なる挑戦が始まる。台風で被害に遭った日本を元気にしようぜ。 https://t.co/1S1CsixBxI
御報告 稲垣啓太はモデルの新井貴子さんと結婚致しました。これからは夫婦共々応援していただけると最高に嬉しいぜ。夫となった稲垣は妻を守りながらも闘いに行きますので、今シーズン更に気合い入れた応援を皆宜しくお願い致します🔥 写真は顔をこねくり回されているだけです。 https://t.co/0SZ1AWCJrw
RT @rugbyworldcupjp: 台風19号の影響で、本日の試合が中止になったカナダ代表 @RugbyCanada🇨🇦 そのまま釜石の町に残り、ボランティア活動を行いました🍁✨ #RWC2019 #RWC釜石 #NAMvCAN https://t.co/bwTpHA…
最高の時間でした🌸 #oneteam https://t.co/E6QKjuoLNK
Key Insights & Takeaways
The user frequently shares personal and professional updates, which helps maintain a close connection with followers. They often express gratitude and respect for teammates and opponents, which enhances their relatability. The account also engages with broader social issues, such as supporting communities affected by natural disasters.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 185,232
- + 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 @Gaki_keita01 reveals an exceptionally influential Twitter presence with 185,232 followers. The account demonstrates a content-creator strategy, averaging 2,454.3 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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