AKB48 村山 彩希
TEAM4村山彩希です\( •−• )/ ♡♥︎ YouTube #ゆうなぁもぎおんチャンネル
170,374
Followers
528
Following
5,147
Tweets
2,802.9
Avg Engagement
1,743
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @yuirii_murayama'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:2016-05-02
- Verification:No
- Location:東京 千代田区
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:2,423.8
- Avg Retweets per Tweet:379.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsHer tweets receive a high number of likes and retweets, indicating strong audience interaction. The content is often personal and relatable, which drives engagement.
2,423.8
Avg Likes/Tweet
379.1
Avg Retweets/Tweet
7,877,335
Total Likes
1,231,983
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2,256
Median Likes
263
Median Retweets
3,814
75th Percentile
77,417
Top Tweet
16.45
Engagement per 1K Followers
Normalized influence metric
Consistent
Engagement Pattern
Steady engagement across posts
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
45.7%
Original
28.0%
Replies
4.0%
Retweets
22.3%
Quotes
0.0%
Threads
0.0%
With Media
67.4%
With Links
41.5%
With #Tags
26.8%
With @Mentions
79.6%
With Emojis
77
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.61
Reply/Original Ratio
5.53
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.5%
Weekday Posts
28.5%
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 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 131 retweets (4% 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 50,000 followersHer followers are likely fans of her idol group and her YouTube channel. They are interested in her personal updates and entertainment-related content.
Average
Audience Quality
25.5%
Suspicion Index
31.2%
Low-Quality %
20
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.7%
Empty Bio
29.2%
<10 Tweets
10.4%
Mass Following (>2K)
0.0%
New (<90 days)
55.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.5%
No URL
20.7%
<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.
23,919,538
Total Potential Reach
20
Median Follower Reach
124
75th Percentile Reach
3.1%
>1K followers
0.3%
>10K followers
0.1%
>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).
52.2%
Creators
26,095 accounts
18.6%
Consumers
9,289 accounts
29.2%
Dormant
14,616 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):
200
Verified Followers
0.2% of total
22,107
Protected Accounts
21.89% of total
5 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 |
|---|---|---|---|
| @Starbucks_J | 7,027,438 | Coffee | coffee, community, customer service |
| @atsushiTSK | 3,315,239 | Comedian | Education, Comedy, Leadership |
| @TO_TETSUYA | 2,406,012 | Entertainer | YouTube, Comedy, Instagram |
| @TMR15 | 1,586,957 | Entertainment | Music, Anime, Fitness |
| @shoko55mmts | 905,028 | YouTuber | cats, gaming, anime songs |
| @_yoshida_akari | 666,047 | YouTuber | YouTuber, Ray, BIDOL |
| @denfaminicogame | 636,553 | Gaming Blogger | Gaming, Articles, Entertainment |
| @welcia_jp | 574,593 | Pharmacist | beauty, health, giveaways |
| @mollyfantasy_of | 466,947 | Entertainment | Amusement, Fantasy, Updates |
| @Chittiii_BiSH | 384,876 | Musician | BiSH, horror movies, sleeping |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
60,195
Followers With Bio
40,804
Followers Without Bio
59.6%
% With Bio
40.4%
% 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 3,250 analyzed247,592
Combined Engagement
0
Total Likes
247,592
Total Retweets
49,518
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
100%
With @Mentions
0%
With Links
Topical Analysis:
RT @JRCS_PR: 【東日本大震災から10年】 Twitterでできる、防災がある。 あなたのツイート・RTが1回につき100円の寄付に。 ▼寄付方法▼ ①#あなたの備えがみんなの備えに をつけてあなたの備えをツイート ②このツイートをRTするだけでもOK ③賛同企…
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Key Insights & Takeaways
She frequently shares personal milestones and reflections, which resonate with her audience. Her content often includes links to YouTube and music events, suggesting a multi-platform strategy. She uses emojis and casual language to create a friendly and approachable image.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 170,374
- + 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 @yuirii_murayama reveals an exceptionally influential Twitter presence with 170,374 followers. The account demonstrates a content-creator strategy, averaging 2,802.9 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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