ノボせもんなべ
🌞ワタナベエンターテインメントのちょっぴし薄毛のお笑い芸人🌞2021年ぐるナイ「おもしろ荘体パーツ芸」優勝🌞2016年ホークス戦全143試合全球観戦🌞毎週火.水KBCラジオ「ハッピーアワー」🌞スポーツライブ＋「熱血宣言！EZOHAWKS」🌞スカパー「鷹のつどい」🌞TikTok1億再生🌞九州パワースポット
10,245
Followers
1,616
Following
41,459
Tweets
78.5
Avg Engagement
86
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @nobosemonnabe'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:2010-06-26
- Verification:No
- Location:福岡
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:44.5
- Avg Retweets per Tweet:34.0
- Followers Analyzed:9,664
Engagement Analysis
Based on 3,250 tweetsHis tweets typically receive moderate engagement, with an average of 593 likes and 55 retweets. The content is often shared and discussed within his community.
44.5
Avg Likes/Tweet
34.0
Avg Retweets/Tweet
144,582
Total Likes
110,621
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
0
Median Retweets
73
75th Percentile
26,985
Top Tweet
7.66
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
40.5%
Original
47.7%
Replies
7.7%
Retweets
4.1%
Quotes
0.0%
Threads
0.0%
With Media
49.0%
With Links
32.7%
With #Tags
60.8%
With @Mentions
4.7%
With Emojis
64
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.18
Reply/Original Ratio
0.53
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.2%
Weekday Posts
28.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 251 retweets (8% 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 3,250 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 9,664 followersHis audience includes fans of comedy, sports, and entertainment, with a particular interest in baseball and local culture. They engage with his content through likes and retweets.
Good
Audience Quality
16.4%
Suspicion Index
21.0%
Low-Quality %
78
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
31.5%
Empty Bio
16.5%
<10 Tweets
11.1%
Mass Following (>2K)
0.0%
New (<90 days)
29.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.7%
No URL
10.6%
<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.
47,266,291
Total Potential Reach
78
Median Follower Reach
340
75th Percentile Reach
10.6%
>1K followers
2.1%
>10K followers
0.7%
>50K followers
0.4%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
67.8%
Creators
6,556 accounts
15.7%
Consumers
1,513 accounts
16.5%
Dormant
1,595 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):
75
Verified Followers
0.78% of total
1,444
Protected Accounts
14.94% 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 | 14,106,765 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Starbucks_J | 6,927,486 | Coffee | coffee, community, customer service |
| @verified | 4,201,549 | - | - |
| @takigare3 | 1,841,004 | - | - |
| @sosotakei | 1,564,148 | Athlete | fencing, athlete, warrior |
| @HAWKS_official | 1,139,038 | Sports Team | Baseball, Fans, Fun |
| @maaya_taso | 990,875 | Voice Actress | 声優, アーティスト, 野球, コスメ, わくわく |
| @inoueyusuke | 984,724 | Comedian | Comedy, Positive Vibes, Fan Club |
| @saraba_morita | 460,551 | Comedian | comedy, radio, business |
| @koji_seto0518 | 458,603 | Actor | Drawing, Actor, Name |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,620
Followers With Bio
3,044
Followers Without Bio
68.5%
% With Bio
31.5%
% 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 3,250 analyzed83,827
Combined Engagement
0
Total Likes
83,827
Total Retweets
16,765
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @DB_official_jp: さらに、#全人類サイヤ人化プロジェクト に参加、または本投稿をフォロー&RTしてくれた方3名様に「再現悟空ジャンバー」をプレゼント！ 参加方法は・・・ ①@DB_official_jpをフォローする ② 本投稿をリツイート ※応募期間：3/18（金）17:14〜3/24（木）23:59まで https://t.co/mEt6os0eDi
RT @WBCBaseball: Team Japan remains undefeated in the 2023 #WorldBaseballClassic! https://t.co/Jb486WdPks
RT @MLBONFOX: THE FINAL OUT. What a moment for Shohei Ohtani and Team Japan 🇯🇵🏆 https://t.co/8DdTDhkryk
RT @Angels: WATCH IT GO, SHO!!! #GoHalos https://t.co/MofRE4pZ4d
RT @gorin: #カーリング 女子で、日本代表が #銀メダル を獲得🤩 おめでとうございます！ @japan_curling #北京2022 https://t.co/tz7bPEaGXM
Key Insights & Takeaways
He blends humor with personal achievements and sports events, which resonates with his audience. His content often includes personal milestones and interactions, which foster a sense of connection. He leverages multiple platforms, including TikTok, to expand his reach and engagement.
Strengths
- + Established follower base of 10,245
- + 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 @nobosemonnabe reveals an growing Twitter presence with 10,245 followers. The account demonstrates a conversation-first approach, averaging 78.5 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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