谷繁元信
谷繁元信の公式アカウントです。情報告知などをスタッフがつぶやきます。本人からのツイートもあるかも。いいね、RTはSTAFFから。YouTubeチャンネル「谷繁ベースボールチャンネル」の登録もお願いします！https://www.youtube.com/channel/UC64uGOYi7v1ClET3GJVlYyA
14,666
Followers
622
Tweets
240.5
Avg Engagement
99
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @m_tanishige_'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:2022-07-06
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:388
- Avg Likes per Tweet:193.2
- Avg Retweets per Tweet:47.3
- Followers Analyzed:13,504
Engagement Analysis
Based on 388 tweetsTweets typically receive around 2,686 likes and 492 retweets on average, indicating a dedicated but not extremely active fanbase.
193.2
Avg Likes/Tweet
47.3
Avg Retweets/Tweet
74,948
Total Likes
18,367
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
66
Median Likes
12
Median Retweets
144
75th Percentile
5,066
Top Tweet
16.4
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
45.1%
Original
4.1%
Replies
30.7%
Retweets
20.1%
Quotes
0.0%
Threads
0.0%
With Media
90.7%
With Links
76.8%
With #Tags
57.2%
With @Mentions
67.8%
With Emojis
133
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.09
Reply/Original Ratio
0.66
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
78.6%
Weekday Posts
21.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 388 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 119 retweets (31% 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 388 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 13,504 followersThe audience primarily consists of baseball fans and followers of 谷繁元信, with a strong interest in sports updates and team events.
Good
Audience Quality
13.4%
Suspicion Index
14.7%
Low-Quality %
127
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
23.5%
Empty Bio
9.3%
<10 Tweets
12.1%
Mass Following (>2K)
0.0%
New (<90 days)
27.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.8%
No URL
5.9%
<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.
26,636,814
Total Potential Reach
127
Median Follower Reach
414
75th Percentile Reach
10.2%
>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).
80.4%
Creators
10,854 accounts
10.3%
Consumers
1,397 accounts
9.3%
Dormant
1,253 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):
22
Verified Followers
0.16% of total
1,998
Protected Accounts
14.8% 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 | 14,106,627 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,223 | - | - |
| @nikkansports | 331,505 | Sports News | Entertainment, Baseball, Soccer |
| @sn_baseball_jp | 221,957 | Sports Journalist | baseball, sports, news |
| @BaseballkingJP | 214,782 | Sports Journalist | Baseball, News, Columns |
| @ak69_official | 184,303 | Rapper | Music, Hip-hop, Recordings |
| @Miyabo01 | 184,225 | Gamer | Gaming, App, Art |
| @Inamuraami | 153,324 | Influencer | music, fashion, travel |
| @junjunitojun | 123,765 | Comedian | Speedwagon, Hamburg, YouTube |
| @redredrice | 121,362 | Musician | Music, Leadership, Shonan Wind |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
10,331
Followers With Bio
3,173
Followers Without Bio
76.5%
% With Bio
23.5%
% 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 388 analyzed18,736
Combined Engagement
13,764
Total Likes
4,972
Total Retweets
3,747
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
大谷…エグいエグいエグいエグいエグいエグいエグいエグい‼️ by谷繁
エスコン！！ by谷繁 https://t.co/B8PnEtonKP
RT @fujitv_baseball: 本日の解説 谷繁さん大注目の つば九郎×ドアラによるパン食い競争！ 第4回目にして初勝利を収めるのは！？ 実況ありでお届けします。 ※静止画ではございません。 #神宮球場 #つば九郎 #ドアラ #パン食い競争 #お使いのデバイスは正常です https://t.co/Z5nyDtopKj
皆さんこんにちは！ この度、谷繁元信公式Twitterを開設致しました！ スタッフから解説情報やメディア出演情報をお届けします。 たまに谷繁元信本人からの呟きもあるかも…！？ 是非皆さん、フォロー宜しくお願い致します！（staff） #谷繁元信 #初ツイートは本人からのメッセージです https://t.co/eNxDh2I16Z
マジで勝とうぜ！！ドラゴンズ！！！ でも今日はスワローズライブ…… by谷繁
Key Insights & Takeaways
The account is heavily focused on promoting the YouTube channel and team events. Content often includes enthusiastic support for the team and player. There is a mix of staff updates and occasional personal tweets from the player.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 14,666
- + 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 @m_tanishige_ reveals an well-established Twitter presence with 14,666 followers. The account demonstrates a content-creator strategy, averaging 240.5 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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