蜜樹みこ
漫画家です。いつもありがとうございます。小学館Sho-Comiにて『少年ブラヰド』 (ブライド)連載中。完結済→『帝都初恋心中』全9巻。ドラマCD付5巻限定版、ノベライズ版発売中。
20,036
Followers
3,953
Following
20,418
Tweets
69.2
Avg Engagement
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @mitsuki_miko'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:2012-05-31
- Verification:Yes
- Location:東京都
Data Summary
- Tweets Analyzed:587
- Avg Likes per Tweet:35.2
- Avg Retweets per Tweet:33.9
- Followers Analyzed:19,956
Engagement Analysis
Based on 587 tweetsHer tweets receive a moderate to high level of engagement, with an average of 955 likes and 117 retweets per post. She actively interacts with her followers through seasonal greetings and promotional content.
35.2
Avg Likes/Tweet
33.9
Avg Retweets/Tweet
20,685
Total Likes
19,913
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
11
Median Retweets
56
75th Percentile
5,031
Top Tweet
3.45
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
16.5%
Original
27.8%
Replies
53.3%
Retweets
2.4%
Quotes
0.0%
Threads
0.0%
With Media
37.3%
With Links
20.1%
With #Tags
76.7%
With @Mentions
87.2%
With Emojis
100
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.68
Reply/Original Ratio
0.04
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
62.2%
Weekday Posts
37.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 587 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 313 retweets (53% 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 587 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 19,956 followersHer audience primarily consists of manga fans and readers interested in serialized stories and character development. They are likely to appreciate her artistic style and storytelling.
Good
Audience Quality
18.4%
Suspicion Index
18.8%
Low-Quality %
30
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
27.1%
Empty Bio
15.5%
<10 Tweets
7.6%
Mass Following (>2K)
0.0%
New (<90 days)
49.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.4%
No URL
10.4%
<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.
38,035,269
Total Potential Reach
30
Median Follower Reach
139
75th Percentile Reach
3.9%
>1K followers
1.1%
>10K followers
0.5%
>50K followers
0.4%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
69.5%
Creators
13,864 accounts
15.0%
Consumers
2,999 accounts
15.5%
Dormant
3,093 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):
87
Verified Followers
0.44% of total
5,620
Protected Accounts
28.16% of total
7 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 | 6,955,820 | Coffee | coffee, community, customer service |
| @udon_lov | 1,038,531 | Food Blogger | Udon, Low Activity, Follow for Happiness |
| @dakarakoso | 893,888 | Poet | poetry, traveling, gaming |
| @unnot | 741,288 | Electrical Engineer | Rally, Engineering, Cars |
| @gyokusen_since | 710,711 | Sports Fan | Shogi, Bowling, Soccer |
| @RealArea | 677,914 | Unknown | None |
| @takafumiaoki000 | 662,618 | Food Blogger | Gourmet, Food Blogger, Instagramer |
| @KeisukeFujitajp | 586,867 | Life Coach | Encounters, Farewells, Interaction |
| @momona_koibuchi | 570,531 | Adult Film Star | SODstar, Life Promotion, Oカップ |
| @nomura0604 | 552,288 | Sommelier | wine, food pairing, downsizing |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
14,545
Followers With Bio
5,411
Followers Without Bio
72.89%
% With Bio
27.11%
% 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 587 analyzed12,208
Combined Engagement
6,724
Total Likes
5,484
Total Retweets
2,442
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
40%
With @Mentions
60%
With Links
Topical Analysis:
らくがき～ 描いてみたかった ダミアニャ成長if🍀 https://t.co/bew3tSIf5a
RT @nhk_animeworld: |◤浦沢直樹の #漫勉neo◢| 新作4本放送決定‼ 2/4(土)「#手塚治虫」 2/11(土)「#水瀬藍」…青春ヘビーローテーション 2/18(土)「#寺田克也」…西遊奇伝 大猿王 2/25(土)「#島本和彦」…アオイホノオ 📺…
あけましておめでとうございます〜！！✨✨✨ 今年も漫画描きます！ よろしくお願いします🙇♀️ https://t.co/nvypWBOtZk
ハッピーハロウィン！👻 https://t.co/Hbo5H36uNo
RT @ShoComi1: ＼💙本日発売💙／ Sho-Comi21号に登場📚🖋 イチオシイケメングラビア拡大版！！ #美少年 #那須雄登 くん 新人まんが家のあなたが出版社で出会ったのは、クラスで孤高の存在の彼。 彼は実は売れっ子ラノベ作家で…！？ #shocomi ht…
Key Insights & Takeaways
She maintains a consistent posting schedule with a mix of promotional and creative content. Her audience is highly engaged with her manga updates and nostalgic posts. She leverages seasonal events to boost visibility and interaction.
Strengths
- + Established follower base of 20,036
- + 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 @mitsuki_miko reveals an growing Twitter presence with 20,036 followers. The account demonstrates a conversation-first approach, averaging 69.2 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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