山根 綺
やまねあや/やや/声優です💐出演作▶︎#ウマ娘 ダイタクヘリオス #シャニマス 緋田美琴 #鬼武者 さよ #アニメ16bitAL 山田冬夜 #レヱルロマネスク2 ノワール #水星の魔女 セセリア #女神のカフェテラス 月島流星 etc🌟番組▶︎#やや綺譚 #ややとみの 武道館へ▶︎#YAYARECORDS
130,170
Followers
654
Following
11,620
Tweets
1,370.2
Avg Engagement
2,822
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ayaMiNTgreen'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:2015-04-11
- Verification:No
- Location:青二プロダクション
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:1,015.3
- Avg Retweets per Tweet:354.9
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,249 tweetsHer tweets receive a high number of likes and retweets, indicating strong audience interaction. She often shares promotional content that resonates well with her followers.
1,015.3
Avg Likes/Tweet
354.9
Avg Retweets/Tweet
3,298,831
Total Likes
1,152,964
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
50
Median Retweets
1,365
75th Percentile
49,581
Top Tweet
10.53
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
23.5%
Original
42.8%
Replies
19.6%
Retweets
14.2%
Quotes
0.0%
Threads
0.1%
With Media
52.5%
With Links
45.2%
With #Tags
62.4%
With @Mentions
45.6%
With Emojis
85
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.83
Reply/Original Ratio
0.72
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.7%
Weekday Posts
30.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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 636 retweets (20% 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 3,249 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 followersHer audience primarily consists of anime and gaming enthusiasts who follow her for updates on her roles and projects. Fans are likely interested in her voice acting work and related media.
Average
Audience Quality
20.7%
Suspicion Index
21.7%
Low-Quality %
38
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
30.3%
Empty Bio
18.9%
<10 Tweets
11.6%
Mass Following (>2K)
0.0%
New (<90 days)
49.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.9%
No URL
13.1%
<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.
3,622,774
Total Potential Reach
38
Median Follower Reach
181
75th Percentile Reach
4.8%
>1K followers
0.4%
>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).
65.3%
Creators
6,532 accounts
15.8%
Consumers
1,575 accounts
18.9%
Dormant
1,893 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):
37
Verified Followers
0.37% of total
1,550
Protected Accounts
15.5% 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 |
|---|---|---|---|
| @AliceProject_mb | 356,411 | Idol | Music, Idol, Performance |
| @sumeragitec | 148,766 | Illustrator | Internet art, Gorilla fairy, Adult content |
| @cerisier_tokyo | 136,705 | - | - |
| @BANDAIFN | 95,440 | Merchandising | Fashion, Goods, Characters |
| @rui_kanimiso | 89,088 | Voice Actress | Voice acting, Blogging, Photography |
| @eririn959 | 63,168 | Voice Actress | Monster Hunter, Anime, Gaming |
| @Chiitan_Osaka | 50,439 | - | - |
| @akao_hikaru | 49,075 | Voice Actress | baking, reading, voice acting |
| @Odddddd64 | 41,002 | Animator/Illustrator | Anime, Illustrator, Animator |
| @clearusui | 34,135 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,970
Followers With Bio
3,030
Followers Without Bio
69.7%
% With Bio
30.3%
% 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 3,249 analyzed170,508
Combined Engagement
98,861
Total Likes
71,647
Total Retweets
34,102
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
RT @G_Witch_M: ◆◆━━━━━━━━━━━━━ 『機動戦士ガンダム 水星の魔女』 Season2 キービジュアル解禁 ━━━━━━━━━━━━◆◆ 4月9日から毎週日曜午後5時 MBS/TBS系全国28局ネットにて放送開始 ▼公式サイト https://t.co/3Mn7Swg3bf #水星の魔女 #G_Witch https://t.co/hcQM0nI8cy
新しい待ち受けにします #シャニマス5th https://t.co/AuatpBO9Cl
ウチの子、お迎え完了！！ ストーリーも歌も全部、大切に魂込めてきました。 たくさんたくさん育ててね！！🥰⭐️ #ウマ娘 #ダイタクヘリオス https://t.co/4Y5xun51WW https://t.co/N5iGkkgMyN
トレぴの皆、お待たせ！☺︎ 明日20日(金)、ついにヘリオスが実装されます⭐️ 育成よろしくお願いします！！🤘🏻 #ウマ娘 #ゲームウマ娘 https://t.co/8bNvmTrBhT
わあ、、わああ、、、 ずっとずっと待っていた瞬間。。泣 ホーム画面にヘリオスがいる... ヘリたんはどこを切り取っても眩しくて可愛い。 トレぴを毎日明るく照らせますように☀️ #ウマ娘 #ダイタクヘリオス https://t.co/3pkg70YW4r
Key Insights & Takeaways
She heavily promotes her roles and projects, which drives engagement. Her content is often tied to specific anime and games, which helps maintain a focused audience. She uses hashtags and links to drive traffic and increase visibility.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 130,170
- + 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 @ayaMiNTgreen reveals an exceptionally influential Twitter presence with 130,170 followers. The account demonstrates a conversation-first approach, averaging 1,370.2 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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