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551,904
Followers
1,626
Following
65,598
Tweets
354.0
Avg Engagement
2,959
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @amemiyaluna'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:2011-04-26
- Verification:No
- Location:22枚目DVD「タイトル未定(竹書房)」2023/11
Data Summary
- Tweets Analyzed:3,243
- Avg Likes per Tweet:283.6
- Avg Retweets per Tweet:70.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,243 tweetsHer tweets typically receive high engagement, with an average of 18k likes and 1.3k retweets per post. She maintains a consistent posting schedule to keep her audience engaged.
283.6
Avg Likes/Tweet
70.4
Avg Retweets/Tweet
919,682
Total Likes
228,257
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
13
Median Retweets
252
75th Percentile
60,119
Top Tweet
0.64
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
29.7%
Original
28.8%
Replies
34.3%
Retweets
7.3%
Quotes
0.0%
Threads
1.9%
With Media
51.2%
With Links
22.9%
With #Tags
62.0%
With @Mentions
53.2%
With Emojis
79
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.97
Reply/Original Ratio
0.21
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.6%
Weekday Posts
29.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,243 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 1,111 retweets (34% 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 3,243 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 audience primarily consists of fans interested in idol culture, adult content, and interactive media. She also engages with followers through direct messages and exclusive content.
Below Average
Audience Quality
38.3%
Suspicion Index
49.8%
Low-Quality %
17
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
62.1%
Empty Bio
49.7%
<10 Tweets
12.7%
Mass Following (>2K)
0.0%
New (<90 days)
79.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.8%
No URL
37.5%
<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.
8,021,251
Total Potential Reach
17
Median Follower Reach
50
75th Percentile Reach
1.1%
>1K followers
0.2%
>10K followers
0.0%
>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).
29.6%
Creators
14,816 accounts
20.6%
Consumers
10,313 accounts
49.7%
Dormant
24,871 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):
101
Verified Followers
0.1% of total
21,151
Protected Accounts
20.94% of total
4 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 |
|---|---|---|---|
| @slash_soft | 531,053 | 3DCG Artist | 3DCG, Adult content, Patreon |
| @zammit_marc | 387,893 | Filmmaker | Film, Acting, Producing |
| @Zb0l0 | 375,652 | Hacker | Sneakers, Streetwear, Fashion |
| @zurikishi | 345,668 | Illustrator | Drawing, Knight, Fantasy |
| @yuusakura0402 | 270,614 | Porn star | Japanese porn, Amazon shopping, AV industry |
| @ken2nbnb | 251,874 | Influencer | Photography, Daily life, Fan service |
| @ti_jiyuugyou | 241,990 | Erotic Artist | erotic doujin, game development, original works |
| @Aokotan1 | 235,716 | Cosplayer | cosplay, nude, promotion |
| @VermeilHentai | 167,095 | Artist | Anime, Art, Fantasy |
| @kwkmbrick | 166,808 | Mangaka | Manga, Baseball, Table Tennis |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
39,794
Followers With Bio
61,204
Followers Without Bio
39.4%
% With Bio
60.6%
% 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 full follower list with profile details, bios, locations, and follower counts as CSV.
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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 3,243 analyzed199,695
Combined Engagement
118,908
Total Likes
80,787
Total Retweets
39,939
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
40%
With @Mentions
80%
With Links
Topical Analysis:
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Key Insights & Takeaways
She leverages her idol persona to build a strong fanbase and maintain a personal brand. Her content often includes personal and intimate moments, which appeal to her target audience. She uses multiple platforms to diversify her reach and monetization strategies.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 551,904
- + 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 @amemiyaluna reveals an well-established Twitter presence with 551,904 followers. The account demonstrates a content-creator strategy, averaging 354.0 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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