華夜🌙おきぼ連載
小学館の隔週少女漫画雑誌 #ShoComi の漫画家 #華夜 （かよる）です！ #ShoComiX にて『おひとりさま少女漫画家のお気楽ぼっち生活』連載中！ 既刊→『 #月とメープルシロップ 』『#お嬢様大人のキスのお時間です 。』『 #鬼宮先生のキスには逆らえない 』『 #会長様がフィアンセで 』etc…
18,363
Followers
410
Following
14,653
Tweets
135.7
Avg Engagement
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @kayorun'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:2010-02-24
- Verification:No
- Location:東京来て１２年たつ京都人
Data Summary
- Tweets Analyzed:598
- Avg Likes per Tweet:22.4
- Avg Retweets per Tweet:113.3
- Followers Analyzed:18,432
Engagement Analysis
Based on 598 tweetsHer tweets receive moderate engagement, with an average of 186 likes and 36 retweets. She frequently interacts with fans and shares links to her manga and related content.
22.4
Avg Likes/Tweet
113.3
Avg Retweets/Tweet
13,413
Total Likes
67,760
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
0
Median Retweets
41
75th Percentile
59,280
Top Tweet
7.39
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
34.6%
Original
56.0%
Replies
7.4%
Retweets
2.0%
Quotes
0.0%
Threads
0.0%
With Media
23.1%
With Links
7.5%
With #Tags
59.5%
With @Mentions
87.3%
With Emojis
77
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.62
Reply/Original Ratio
0.27
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.1%
Weekday Posts
29.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 598 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 44 retweets (7% 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 598 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 18,432 followersHer followers are likely manga enthusiasts, especially fans of少女 manga and ShoComi. They are interested in her ongoing series and updates on new releases.
Good
Audience Quality
19.4%
Suspicion Index
21.5%
Low-Quality %
25
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
29.6%
Empty Bio
19.9%
<10 Tweets
6.8%
Mass Following (>2K)
0.0%
New (<90 days)
48.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.0%
No URL
13.4%
<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.
10,710,170
Total Potential Reach
25
Median Follower Reach
116
75th Percentile Reach
3.0%
>1K followers
0.5%
>10K followers
0.1%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
61.5%
Creators
11,327 accounts
18.6%
Consumers
3,429 accounts
19.9%
Dormant
3,676 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):
49
Verified Followers
0.27% of total
4,743
Protected Accounts
25.73% 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 |
|---|---|---|---|
| @bozu_108 | 1,705,280 | Bartender | Pokémon GO, bars, virtual monk bar |
| @udon_lov | 1,038,531 | Food Blogger | Udon, Low Activity, Follow for Happiness |
| @uedakana | 429,701 | Voice Actress | Gaming, Mahjong, Cooking |
| @LINEmanga | 381,137 | Manga Publisher | - |
| @KanzakiTei | 355,028 | Car enthusiast | Cars, Driving, Work |
| @HmvBooksShibuya | 252,294 | Bookstore | Books, Music, Events |
| @palmie_oekaki | 216,637 | Illustrator | illustration, manga, digital art |
| @hometenobaseyo | 207,388 | Influencer | Dogs, Compliments, Instagram |
| @mechacomic | 184,612 | Entertainment | comics, manga, digital |
| @yuuto10 | 168,757 | Content creator | Anime, Video Games, Online Shopping |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
12,972
Followers With Bio
5,460
Followers Without Bio
70.38%
% With Bio
29.62%
% 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 598 analyzed66,137
Combined Engagement
440
Total Likes
65,697
Total Retweets
13,227
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @Mingeamgyu: 頭にどんどんおもちゃのせられるので、飼育員さんの手も触ってたしかめるメイちゃん🦦💕🐾 #鳥羽水族館 #ラッコ #メイ https://t.co/4A4KAqrLU1
RT @buruban: 選挙のお知らせ無くしちゃった💦 家族が捨てちゃった… 選挙に行ったとバレたら家族に嫌な顔される… なんて方ー！ 選挙のお知らせ手元になくても免許証等の身分証さえあれば期日前投票も投票当時も投票出来るし、家族に通知や確認も行かないので、ご事情のある人もレ…
RT @askenjp: #七夕の願い事 ┏┷🎋 ┃み┃ ┃ん┃ ┃な┃ ┃に┃ ┃名┃ ┃前┃ ┃を┃ ┃覚┃ ┃え┃ ┃て┃ ┃も┃ ┃ら┃ ┃え┃ ┃ま┃ ┃す┃ ┃よ┃ ┃う┃ ┃に┃ ┗━🌟 #未来と書いてミキと読みます #あすけんの女 #あすけん #七夕 http…
ヤリチン男子高生が27才女教師に生まれて初めて恋する話(1/8) #漫画が読めるハッシュタグ https://t.co/jvc061KwS2
RT @nhk_animeworld: |◤浦沢直樹の #漫勉neo◢| 今夜25時からの放送に先駆けて、 『青春ヘビーローテーション』の作者 #水瀬藍 先生の執筆動画を公開‼ 華麗なトーンテクニック…！ 本編もぜひご覧ください！ Eテレ 11(土)午前1:00※金曜深夜…
Key Insights & Takeaways
She actively promotes her manga releases and engages with fans through updates and personal interests. She uses hashtags effectively to increase visibility and connect with her audience. Her content often includes a mix of storytelling, personal opinions, and promotional material.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 18,363
- + 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 @kayorun reveals an well-established Twitter presence with 18,363 followers. The account demonstrates a conversation-first approach, averaging 135.7 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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