フェアリーズ
フェアリーズの公式Twitter。イベントや各種妖精'sインフォメーションを最速でお届けします！17th single「Metropolis〜メトロポリス〜」2019.7.17 release!
86,693
Followers
32,969
Following
4,588
Tweets
409.0
Avg Engagement
958
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @fairies_me'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:2011-08-03
- Verification:No
- Location:JAPAN
Data Summary
- Tweets Analyzed:3,178
- Avg Likes per Tweet:294.1
- Avg Retweets per Tweet:114.9
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,178 tweetsThe account has a moderate level of engagement with an average of 4,337 likes and 2,067 retweets per tweet. Engagement appears to be consistent across the tweets.
294.1
Avg Likes/Tweet
114.9
Avg Retweets/Tweet
934,683
Total Likes
365,104
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
233
Median Likes
67
Median Retweets
509
75th Percentile
23,265
Top Tweet
4.72
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
73.9%
Original
1.9%
Replies
16.7%
Retweets
7.5%
Quotes
0.0%
Threads
0.4%
With Media
88.3%
With Links
50.7%
With #Tags
25.2%
With @Mentions
21.3%
With Emojis
127
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.03
Reply/Original Ratio
0.45
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.3%
Weekday Posts
26.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,178 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 530 retweets (17% 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 3,178 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 primary audience is fans of the group and its members, particularly interested in event details and member activities. The audience is likely young and interested in idol culture.
Good
Audience Quality
18.8%
Suspicion Index
22.9%
Low-Quality %
57
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.0%
Empty Bio
16.8%
<10 Tweets
11.6%
Mass Following (>2K)
0.0%
New (<90 days)
38.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.9%
No URL
10.8%
<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.
3,496,335
Total Potential Reach
57
Median Follower Reach
228
75th Percentile Reach
4.1%
>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).
65.8%
Creators
6,577 accounts
17.4%
Consumers
1,740 accounts
16.8%
Dormant
1,683 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):
23
Verified Followers
0.23% of total
3,192
Protected Accounts
31.92% 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 |
|---|---|---|---|
| @rugbyworldcupjp | 217,640 | Sports Marketing | rugby, world cup, japan |
| @tg0936 | 164,787 | Baseball Player | Sports, Shy, Self-love |
| @SANSPOCOM | 102,102 | Sports News | Sports, Entertainment, News |
| @bIgtoBacCocoMpa | 99,157 | Musician | music, album, warning |
| @townworknet | 92,752 | Job Listings | - |
| @LOVEMUSICSonyJp | 83,158 | Music Promotion | Music, Sony, Love |
| @itSnap_media | 82,809 | Fashion Blogger | Fashion, Influencers, Styling |
| @pupumumumu | 73,970 | Teacher | Jump rope, Programming, Anime |
| @MARY_ESMAEELI | 54,525 | - | - |
| @hmvbookssinsaib | 49,088 | Bookstore | books, music, movies |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,498
Followers With Bio
3,502
Followers Without Bio
64.98%
% With Bio
35.02%
% 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 3,178 analyzed52,148
Combined Engagement
23,573
Total Likes
28,575
Total Retweets
10,430
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
40%
With @Mentions
60%
With Links
Topical Analysis:
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Key Insights & Takeaways
The account frequently shares news about member activities and events, which likely drives engagement. The use of multiple links in some tweets suggests a focus on directing followers to additional content. The account appears to prioritize member spotlight and event promotion as key communication strategies.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 86,693
- + 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 @fairies_me reveals an well-established Twitter presence with 86,693 followers. The account demonstrates a content-creator strategy, averaging 409.0 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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