森田 剛_GO MORITA
森田 剛 / 本人です。https://www.instagram.com/accounts/login/?next=https%3A%2F%2Fwww.instagram.com%2Fmoss_official_1102%2F&is_from_rle
180,713
Followers
185
Tweets
11,111.5
Avg Engagement
500
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @GoMorita_JP'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:2021-12-01
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:169
- Avg Likes per Tweet:9,142.8
- Avg Retweets per Tweet:1,968.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 169 tweets他的推文平均獲得大量點讚與轉發，顯示其內容具有高度吸引力和互動性。
9,142.8
Avg Likes/Tweet
1,968.7
Avg Retweets/Tweet
1,545,141
Total Likes
332,704
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
6,527
Median Likes
1,395
Median Retweets
13,744
75th Percentile
68,005
Top Tweet
61.49
Engagement per 1K Followers
Normalized influence metric
Consistent
Engagement Pattern
Steady engagement across posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
77.5%
Original
0.0%
Replies
16.6%
Retweets
5.9%
Quotes
0.0%
Threads
0.6%
With Media
79.3%
With Links
56.8%
With #Tags
17.8%
With @Mentions
3.0%
With Emojis
97
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.0
Reply/Original Ratio
0.36
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
80.5%
Weekday Posts
19.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 169 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 28 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 169 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 followers他的粉絲群體可能包括日本的年輕群眾、娛樂業愛好者以及對他個人感興趣的追星族。
Average
Audience Quality
21.4%
Suspicion Index
29.5%
Low-Quality %
15
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.6%
Empty Bio
22.6%
<10 Tweets
3.1%
Mass Following (>2K)
0.0%
New (<90 days)
51.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.3%
No URL
16.4%
<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.
9,461,558
Total Potential Reach
15
Median Follower Reach
81
75th Percentile Reach
1.5%
>1K followers
0.1%
>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).
62.0%
Creators
31,025 accounts
15.4%
Consumers
7,694 accounts
22.6%
Dormant
11,281 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):
85
Verified Followers
0.08% of total
33,493
Protected Accounts
33.49% 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 |
|---|---|---|---|
| @becky_bekiko | 1,933,996 | Director | bathing, director, relaxation |
| @modelpress | 1,622,738 | Media | Entertainment, Lifestyle, Fashion |
| @sanoreofficial | 843,866 | Singer | Music, Dance, Entertainment |
| @shiraishimarina | 478,625 | Entertainer | Golf, Table Tennis, Madonna |
| @nauru_japan | 445,284 | Tourism | tourism, government, promotion |
| @oggi_jp | 169,413 | Fashion Editor | Fashion, Beauty, Women's empowerment |
| @tg0936 | 163,903 | Baseball Player | Sports, Shy, Self-love |
| @Torippiyo2 | 155,063 | Actor | Acting, Idol unit, Management |
| @higeoyaji | 134,263 | Webディレクター | Tech, News, Web Shows |
| @yellowishrice | 111,506 | Fitness influencer | Fashion, Beauty, Email |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
60,963
Followers With Bio
39,037
Followers Without Bio
60.96%
% With Bio
39.04%
% 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 169 analyzed251,941
Combined Engagement
214,103
Total Likes
37,838
Total Retweets
50,388
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
0%
With @Mentions
80%
With Links
Topical Analysis:
からの https://t.co/ZvH8ecdlVY
https://t.co/qzLwqBqm8l
今年もよろしくお願いします！森田
#2021ありがとうございました #2021ラスト森田剛 https://t.co/ynFoLHbwb2
【TV】 2022/01/28(金) 23:00〜「A-Studio+」 #来年ですがOAお楽しみに #前科者 https://t.co/gUNKDi6mGP
Key Insights & Takeaways
他經常分享個人生活與活動，增強與粉絲的親近感 他的推文連結通常指向個人網站或專頁，強化個人品牌 他會在新年期間發送祝福，顯示對粉絲的重視與互動
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 180,713
- + 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 @GoMorita_JP reveals an exceptionally influential Twitter presence with 180,713 followers. The account demonstrates a content-creator strategy, averaging 11,111.5 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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