天野ひろゆき
浅井企画所属 最後の晩餐を考えすぎて眠れなかったことがあります。 あと、本人の前でその方の持ち歌を歌う ヤバめのメンタルを持っています あと、鳩の首の虹みたいになってるところが苦手です https://ameblo.jp/amablo2010/
329,400
Followers
30
Following
4,407
Tweets
1,273.7
Avg Engagement
2,342
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @1ribottiamano'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:2013-05-04
- Verification:No
- Location:Japan
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:1,100.0
- Avg Retweets per Tweet:173.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 500 tweets投稿の平均いいね数とリツイート数が高く、ユーザーとの関わりが深いことがわかります。特に音楽や食事に関する投稿が高エンゲージメントを誘います。
1,100.0
Avg Likes/Tweet
173.7
Avg Retweets/Tweet
549,998
Total Likes
86,853
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
163
Median Likes
20
Median Retweets
544
75th Percentile
79,912
Top Tweet
3.87
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
57.8%
Original
0.0%
Replies
18.6%
Retweets
23.6%
Quotes
0.0%
Threads
0.0%
With Media
84.6%
With Links
19.2%
With #Tags
19.6%
With @Mentions
20.8%
With Emojis
67
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.0
Reply/Original Ratio
1.27
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
69.6%
Weekday Posts
30.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 500 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 93 retweets (19% 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 500 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音楽や食事に興味がある幅広い層がフォロワーとしています。ユーモアや個人的なエピソードに共感する層が多いです。
Average
Audience Quality
25.7%
Suspicion Index
29.7%
Low-Quality %
23
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.4%
Empty Bio
27.1%
<10 Tweets
12.6%
Mass Following (>2K)
0.0%
New (<90 days)
56.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.4%
No URL
18.0%
<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.
35,758,511
Total Potential Reach
23
Median Follower Reach
141
75th Percentile Reach
4.7%
>1K followers
0.4%
>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).
52.5%
Creators
26,271 accounts
20.4%
Consumers
10,189 accounts
27.1%
Dormant
13,540 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):
290
Verified Followers
0.29% of total
18,298
Protected Accounts
18.12% 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 |
|---|---|---|---|
| @hajimesyacho | 5,484,426 | YouTuber | Comedy, Vlogs, Pranks |
| @ABEMA | 2,139,738 | Media | News, Drama, Anime |
| @sosotakei | 1,561,972 | Athlete | fencing, athlete, warrior |
| @kenichiromogi | 1,426,121 | Neuroscientist | neuroscience, author, broadcaster |
| @michopaaaaa | 1,418,984 | Model | Fashion, Modeling, Media |
| @SoccerKingJP | 1,351,746 | Sports Journalist | soccer, YouTube, sports |
| @TS_takasho | 1,134,245 | Retired | Metal, Festivals, Wine |
| @ktrsngofficial | 865,089 | Entertainer | Music, Entertainment, Japan |
| @cx_mezamashi | 811,099 | TV Show | Entertainment, TV shows, Broadcasting |
| @ZIP_TV | 768,651 | TV Show | Entertainment, News, Television |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
55,716
Followers With Bio
45,283
Followers Without Bio
55.16%
% With Bio
44.84%
% 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 500 analyzed197,811
Combined Engagement
179,287
Total Likes
18,524
Total Retweets
39,562
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
ありがとうございました〜!エーコラ! https://t.co/bHq5wphKvu
準備はいいかな？エーコラ！！ @musicday_ntv https://t.co/1PPxuT2wcd
食べてる食べてる😏 https://t.co/5HOH4YN5pz
ななに〜最高のチームワーク！！ https://t.co/rxO5LZCFhk
王子の個展ＷHO AM I 渋谷ヒカリエで やってます!あっ、黒ウサギだぁ～! https://t.co/dZlCkQUINc
Key Insights & Takeaways
音楽や食事に関するコンテンツが高エンゲージメントを誘う 個人的なエピソードやユーモアがフォロワーに親近感を与える メンタルや苦手なことに触れることで、人間味が伝わる
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 329,400
- + 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 @1ribottiamano reveals an exceptionally influential Twitter presence with 329,400 followers. The account demonstrates a content-creator strategy, averaging 1,273.7 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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