矢野 通¥💰💴（TORU YANO）
矢野通プロデュースhttps://www.youtube.com/@NJPWYANOTORU【登別市観光大使】【カンタン酢をPRする人】「EBRIETAS」https://ebrietas-ytr.amebaownd.com/
123,017
Followers
590
Following
5,331
Tweets
755.4
Avg Engagement
1,299
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @YTR_CHAOS'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:2012-12-19
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:660.7
- Avg Retweets per Tweet:94.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,249 tweets账号的互动率较高，平均每条推文获得约6,468次点赞和1,249次转发，显示出较强的粉丝参与度。
660.7
Avg Likes/Tweet
94.7
Avg Retweets/Tweet
2,146,522
Total Likes
307,813
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
591
Median Likes
24
Median Retweets
985
75th Percentile
95,505
Top Tweet
6.14
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
60.4%
Original
5.2%
Replies
16.5%
Retweets
18.0%
Quotes
0.0%
Threads
0.0%
With Media
68.8%
With Links
48.0%
With #Tags
25.6%
With @Mentions
6.6%
With Emojis
59
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.09
Reply/Original Ratio
1.09
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.2%
Weekday Posts
25.8%
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 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 535 retweets (16% 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 followers主要受众为对职业摔跤感兴趣的人群，以及对地方旅游和产品推广感兴趣的用户。
Average
Audience Quality
22.8%
Suspicion Index
26.8%
Low-Quality %
27
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.2%
Empty Bio
24.4%
<10 Tweets
9.5%
Mass Following (>2K)
0.0%
New (<90 days)
51.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.3%
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.
48,136,120
Total Potential Reach
27
Median Follower Reach
145
75th Percentile Reach
4.5%
>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).
55.9%
Creators
27,935 accounts
19.7%
Consumers
9,858 accounts
24.4%
Dormant
12,207 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):
257
Verified Followers
0.25% of total
15,862
Protected Accounts
15.71% 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 |
|---|---|---|---|
| @JohnCena | 14,101,227 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Starbucks_J | 7,041,427 | Coffee | coffee, community, customer service |
| @BeatsByAssassin | 2,261,060 | Multitalented | Actor, Director, Rapper |
| @6BillionPeople | 2,032,992 | - | - |
| @EmmaWWE | 1,555,757 | - | - |
| @Raelilblack | 1,165,107 | Adult entertainer | Adult, Raemageddon, Pure |
| @AEW | 917,750 | Wrestling | Wrestling, TNT, YouTube |
| @akira5423 | 742,562 | Illustrator | Voice, Drawing, Instagram |
| @PleasureEllis | 685,099 | Entertainer | Music, Transformation, Celebration |
| @SEGA_OFFICIAL | 528,194 | Gaming | Games, Events, Merchandise |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
63,528
Followers With Bio
37,467
Followers Without Bio
62.9%
% With Bio
37.1%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,249 analyzed148,358
Combined Engagement
23,786
Total Likes
124,572
Total Retweets
29,672
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
20%
With Links
Topical Analysis:
RT @hotel_THIRD: ＼拡散ご協力ください🙇♂️／ THIRD石垣島は開業から2年が経ちますが、想定外のコロナでホテルで使ってる約650ℓのシャンプーなどの使用期限が迫っています… すてきな香りのする沖縄の地元企業さまの首里石鹸を破棄にしたくないので、フォロワーさ…
ごく普通の応援してくれているファンの方に向けて書くと「言い訳」とか「昔の選手は」とか「新日本は殿様商売だ」とか「貴殿のサインなどいらないし、もらってもその場で捨てる」等と訳の分からない事を言ってくる人がいるので本当に面倒くさいのですが、説明します。… https://t.co/nGgBWSQDdr
RT @njpwss: / ㊗2022年新春 #新日SS フォロー&RTキャンペーン🎉 2日目 \ お好きなコカ•コーラ社製品1本と交換できるCoke ONドリンクチケットが期間中累計5,000名に当たる🎁 📢参加方法 ①@njpwss をフォロー ②このツイートをRT ③…
無言でカメラ向けるのはやめて下さい！ 気が休まりません！ 写真が撮りたいなら言ってくれれば殆どの選手は応じてくれます。 コロナ禍もあり、おっしゃって頂いても応じれない場合もあります。 断る方も断腸の思いです。 ご理解の程よろしくお願い申し上げます。
RT @hotel_THIRD: 貰っていただける方はいいねかリツイートお願いします…！使用期限は2023/3/31まででシャンプー、コンディショナー、ハンドソープを10ℓの大容量タイプで送付します！ お送りする方にはDMさせていただきますので、必ずアカウントをフォローお願いし…
Key Insights & Takeaways
账号内容多涉及粉丝互动和职业摔跤领域，反映出对粉丝关系的重视 账号运营者对粉丝行为有明确的不满和建议，显示出较强的沟通意愿 账号内容结合地方旅游和产品推广，具有一定的商业推广性质
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 123,017
- + 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 @YTR_CHAOS reveals an well-established Twitter presence with 123,017 followers. The account demonstrates a content-creator strategy, averaging 755.4 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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