Asashoryu第68代横綱朝青龍🇯🇵🇲🇳
第68代横綱 朝青龍 明徳 АсашёорюүАкинори ,68th Grand Yokozuna 在日本人マネージャーいません‼️ instagram asashoryu68 趣味~サウナ🧖♂️
352,428
Followers
300
Following
61,591
Tweets
432.3
Avg Engagement
1,125
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Asashoryu'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:2011-10-11
- Verification:No
- Location:Ulanbator Mongolia Tokyo Japan
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:340.2
- Avg Retweets per Tweet:92.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,249 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. The content is mostly positive and emotionally expressive.
340.2
Avg Likes/Tweet
92.1
Avg Retweets/Tweet
1,105,365
Total Likes
299,248
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
1
Median Retweets
110
75th Percentile
63,724
Top Tweet
1.23
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
22.5%
Original
70.3%
Replies
7.2%
Retweets
0.0%
Quotes
0.0%
Threads
0.3%
With Media
18.1%
With Links
1.4%
With #Tags
77.7%
With @Mentions
37.2%
With Emojis
49
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.13
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.1%
Weekday Posts
25.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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 234 retweets (7% 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 3,249 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 includes fans of sumo wrestling and general entertainment followers. The audience is primarily interested in his personal life and achievements.
Good
Audience Quality
17.6%
Suspicion Index
24.4%
Low-Quality %
59
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.0%
Empty Bio
19.2%
<10 Tweets
7.5%
Mass Following (>2K)
0.0%
New (<90 days)
34.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.5%
No URL
13.7%
<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.
23,113,329
Total Potential Reach
59
Median Follower Reach
237
75th Percentile Reach
5.6%
>1K followers
0.4%
>10K followers
0.1%
>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).
66.2%
Creators
33,116 accounts
14.6%
Consumers
7,284 accounts
19.2%
Dormant
9,600 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):
414
Verified Followers
0.41% of total
19,515
Protected Accounts
19.52% 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 |
|---|---|---|---|
| @yousuck2020 | 10,460,686 | Entrepreneur | Space, Donation, Art |
| @faridyu | 2,960,501 | Baseball Player | Baseball, Quotes, Supplements |
| @konotarogomame | 2,677,121 | Politician | Politics, Soccer, Marathon |
| @takeshi_tsuruno | 655,201 | Singer | music, singing, art |
| @avashaka | 564,910 | Content Creator | Cats, Daily streaming, Work opportunities |
| @nauru_japan | 445,567 | Tourism | tourism, government, promotion |
| @red2red2red2 | 415,329 | Fishmonger | Fish, Kyoto, Fresh fish |
| @04GENLS | 400,069 | Musician | music, festivals, cats |
| @lullymiura | 398,033 | Researcher | Technology, Research, Motherhood |
| @NBAJPN | 391,510 | Sports Media | Basketball, NBA, Japan |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
63,391
Followers With Bio
36,609
Followers Without Bio
63.39%
% With Bio
36.61%
% 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 3,249 analyzed236,859
Combined Engagement
168,392
Total Likes
68,467
Total Retweets
47,372
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
言葉に出来ない🙏 今赤空。悲しな本当に悲しい https://t.co/fTj2zXFDZa
🤣🤣🤣 ナイスー♪ https://t.co/n3MzHDF18H
RT @AlbicelesteTalk: This video is everything 🥺🏆 https://t.co/WQMWGN3voO
人生にこの方と会いたい夢が叶った。 世界の北野武さんとおんなじ席にお食事する事出来ました。こんなに嬉しい事や言葉が無いです。 幸せ山盛り😁🙏 https://t.co/ikQuqjKXuO
新年元旦🎍に自然温泉♨️に 外− 25度🥶🥶🤣🤣 https://t.co/0w5FkIIGyt
Key Insights & Takeaways
He frequently shares personal and emotional experiences, which resonate with his audience. His use of humor and light-hearted content helps maintain a positive image. He leverages his personal brand and interests, such as sauna, to connect with followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 352,428
- + 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 @Asashoryu reveals an well-established Twitter presence with 352,428 followers. The account demonstrates a conversation-first approach, averaging 432.3 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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