柳美里
ブックカフェ「フルハウス@OnePair3card」の店長です。※文末に（雪）が付いているものは雪歩がツイートしています。
68,892
Followers
3,893
Following
64,701
Tweets
608.4
Avg Engagement
1,903
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @yu_miri_0622'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:2010-05-23
- Verification:No
- Location:福島県南相馬市小高区東町1-10
Data Summary
- Tweets Analyzed:3,232
- Avg Likes per Tweet:170.7
- Avg Retweets per Tweet:437.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,232 tweetsThe account has a high average number of likes and retweets, indicating a relatively engaged audience. The content appears to resonate with followers, particularly on topics related to health and societal issues.
170.7
Avg Likes/Tweet
437.7
Avg Retweets/Tweet
551,790
Total Likes
1,414,615
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
14
Median Likes
9
Median Retweets
207
75th Percentile
84,700
Top Tweet
8.83
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
20.7%
Original
27.5%
Replies
41.6%
Retweets
10.1%
Quotes
0.0%
Threads
0.1%
With Media
56.4%
With Links
8.3%
With #Tags
51.2%
With @Mentions
5.0%
With Emojis
109
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.33
Reply/Original Ratio
0.24
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.3%
Weekday Posts
27.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,232 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 1,345 retweets (42% 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 3,232 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 10,000 followersThe audience likely includes individuals interested in personal stories, social issues, and cultural events. They may also be regulars or visitors to the book café mentioned in the bio.
Good
Audience Quality
19.0%
Suspicion Index
21.9%
Low-Quality %
74
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
31.2%
Empty Bio
17.9%
<10 Tweets
13.8%
Mass Following (>2K)
0.0%
New (<90 days)
38.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.5%
No URL
12.6%
<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.
6,870,223
Total Potential Reach
74
Median Follower Reach
331
75th Percentile Reach
10.5%
>1K followers
1.1%
>10K followers
0.2%
>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).
69.3%
Creators
6,935 accounts
12.8%
Consumers
1,275 accounts
17.9%
Dormant
1,790 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):
73
Verified Followers
0.73% of total
1,637
Protected Accounts
16.37% of total
6 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 |
|---|---|---|---|
| @bijutsufan | 188,439 | Art Enthusiast | Famous paintings, Art exhibitions, Renaissance art |
| @inuningen | 108,096 | Illustrator | anan, Steady, figaro |
| @news_postseven | 97,705 | - | - |
| @My_Liberty_ | 87,182 | Student | mechanical engineering, product design, information science |
| @SakamotoFumie | 81,305 | Infection Control | infection control, healthcare quality improvement, nursing |
| @hidetomitanaka | 75,021 | Economist | Economics, Radio, Writing |
| @aniotahosyu | 69,527 | Writer | politics, writing, social issues |
| @kiyoha_xxx | 64,805 | Freelance Writer | Geisha, Writer, Interview |
| @accobin | 62,041 | Musician | Music, Events, YouTube |
| @uguisujyo_KCCo | 60,973 | Voice Actress | MC, Voice Professional, Talk Magic |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,880
Followers With Bio
3,120
Followers Without Bio
68.8%
% With Bio
31.2%
% 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 3,232 analyzed311,052
Combined Engagement
26,109
Total Likes
284,943
Total Retweets
62,210
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
80%
With @Mentions
100%
With Links
Topical Analysis:
RT @kosuke_yasukawa: 「若者は重症化しないからワクチンは必要ない」と言う人がいます。日本の「重症」の定義は人工呼吸器や集中治療が必要な状態です。30代、40代でも中等症になる方はそれなりにいて、僕も多く診てきました。軽症や中等症といってもピンとこない方もいるので、スライドを作ってみました。 https://t.co/ibTUPcpBXo
RT @koyo_1213: バスの置き去り事故を踏まえて、年少の娘と緊急時車のクラクションを鳴らす訓練しました。 車のクラクションは子どもの力では鳴らせないので、登園時持っている水筒を当てて立って体重をかければ娘の力でも鳴らせました。 緊急時周囲に異常を知らせることができます。 #拡散希望RTご協力お願いします https://t.co/i38Nec1PDl
RT @Saitama_Shobo: 【救急隊に食事の時間を！】 救急出場が続くと、救急隊が消防署に帰れない時があります。そんな時は、出場できる体制を取りつつ、救急隊がコンビニ等で飲食物を購入し食事をする事がありますので、ご理解をお願い致します。 https://t.co/bwXoKEvRJm #さいたま市消防局 ＃救急隊 https://t.co/dIT1Q8ikuS
RT @pavlokovtonyuk: I give many interviews these days. The most frequent question is: how healthcare in Ukraine is affected by the war? Well, this is how. 1/3 https://t.co/jodJBbacl6
コロナ、感染しない方がいいです。 今年1月末に感染（軽症）し、まだ後遺症が続いています。味覚障害、臭覚障害、睡眠障害。波がありますが、いま、再び匂いを感知できません。 香水も、西瓜も、ガスも、石油も、牛糞肥料も、全く匂いません。 https://t.co/W00nlCV1au
Key Insights & Takeaways
The account provides personal insight into the long-term effects of COVID-19, including sensory and sleep issues. It raises critical questions about the use of 'stress' as a justification for male misconduct, challenging societal assumptions. The account also shares cultural and seasonal events, such as the summer solstice in Sweden, indicating a mix of personal and public content.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 68,892
- + 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 @yu_miri_0622 reveals an well-established Twitter presence with 68,892 followers. The account demonstrates a conversation-first approach, averaging 608.4 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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