藤平 尚真/SHOMA FUJIHIRA
東北楽天ゴールデンイーグルス
52,532
Followers
150
Following
558
Tweets
931.3
Avg Engagement
224
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @_shoma_official'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:2016-08-15
- Verification:No
- Location:宮城 仙台市
Data Summary
- Tweets Analyzed:522
- Avg Likes per Tweet:674.8
- Avg Retweets per Tweet:256.5
- Followers Analyzed:10,000
Engagement Analysis
Based on 522 tweetsThe account maintains high average likes and retweets, indicating a loyal and active fan base that engages with the content regularly.
674.8
Avg Likes/Tweet
256.5
Avg Retweets/Tweet
352,246
Total Likes
133,894
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
232
Median Likes
63
Median Retweets
1,168
75th Percentile
27,890
Top Tweet
17.73
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
44.4%
Original
21.8%
Replies
27.0%
Retweets
6.7%
Quotes
0.0%
Threads
0.0%
With Media
64.0%
With Links
42.1%
With #Tags
53.8%
With @Mentions
60.9%
With Emojis
74
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.49
Reply/Original Ratio
0.25
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.7%
Weekday Posts
25.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 522 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 141 retweets (27% 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 522 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 primarily consists of baseball fans and supporters of the Tohoku Rakuten Golden Eagles, with a focus on Japanese sports enthusiasts.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
49
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.9%
No URL
100.0%
<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.
12,540,281
Total Potential Reach
49
Median Follower Reach
240
75th Percentile Reach
6.3%
>1K followers
0.5%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
1,851
Protected Accounts
18.51% 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 |
|---|---|---|---|
| @hikakin | 7,062,182 | YouTuber | YouTube, SNS, Collaboration |
| @funky_kato1978 | 407,325 | Entertainer | 焼肉, 楽天イーグルス, プロレスLOVE |
| @watabe1972 | 368,134 | Comedian | Business, Books, Blogging |
| @fukudasun | 226,734 | Sports Reporter | Baseball, MLB, Draft |
| @kyuji22fujikawa | 221,231 | Baseball | baseball, sports, commentary |
| @kourakuen_pr | 181,020 | Restaurant | ramen, chain, deals |
| @wakuhide16 | 130,415 | Professional Baseball Player | Baseball, Lions, Marines |
| @SANSPOCOM | 102,746 | Sports News | Sports, Entertainment, News |
| @easysportsjp | 83,510 | - | - |
| @ggsato_travers | 76,522 | Baseball Player | baseball, sports commentary, business |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,929
Followers With Bio
3,071
Followers Without Bio
69.29%
% With Bio
30.71%
% 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 522 analyzed62,393
Combined Engagement
29,264
Total Likes
33,129
Total Retweets
12,479
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
RT @YahooNewsTopics: 【イチロー引退 MLB公式伝える】 https://t.co/6WM3STETld メジャーリーグの公式サイトが21日、マリナーズのイチロー外野手がこの日をもって引退すると発表した。
私事ですが先日プロ初勝利しました。 これからもチームのために一生懸命 投げます。応援よろしくお願いします😌 https://t.co/wzmXxZqzj7
ロッカー着いたら椅子の上に… 則本さん本当ありがとうございます‼️ すぐ使わせてもらいます😎 #BOTTEGAVENETA https://t.co/VRtAH8MOAz
沢山の人との出逢い。沢山の経験。 監督。コーチ。スタッフ。裏方さん。 そしてファンの皆さんに支えられ 今シーズン怪我なく終われました。 来シーズンも応援よろしくお願いします‼️
横浜高校からプロの世界に入った 自分にとって野球選手の中でも 特別な存在です。 頑張ります‼️ #松坂大輔さん #3月3日 https://t.co/SYZzvsXb5X
Key Insights & Takeaways
The user frequently shares personal milestones and gratitude towards teammates and fans Content includes a mix of professional updates and personal appreciation The account uses hashtags and links to enhance engagement and visibility
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 52,532
- + 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 @_shoma_official reveals an well-established Twitter presence with 52,532 followers. The account demonstrates a content-creator strategy, averaging 931.3 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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