新井理恵
漫画家です。昔『×-ペケ-』という漫画を描いていました。 現在はただの馬好きオバサンですが一応【月刊フラワーズ】【ベツコミ】【デラコミ】【モバフラ】【スーパークロスワード】などで細々とお仕事させていただいております。どうぞよろしくお願いいたします〜。
14,261
Followers
305
Following
21,677
Tweets
2,200.1
Avg Engagement
191
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @arairie_manga'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:2018-08-18
- Verification:No
- Location:東京都
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:7.8
- Avg Retweets per Tweet:2,192.3
- Followers Analyzed:12,641
Engagement Analysis
Based on 500 tweetsHer tweets are generally well-received, with a steady number of likes and retweets. She often shares personal reflections and industry experiences that resonate with her followers.
7.8
Avg Likes/Tweet
2,192.3
Avg Retweets/Tweet
3,875
Total Likes
1,096,154
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
90
Median Retweets
818
75th Percentile
56,321
Top Tweet
154.27
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
6.8%
Original
17.2%
Replies
74.4%
Retweets
1.6%
Quotes
0.0%
Threads
0.4%
With Media
43.2%
With Links
21.8%
With #Tags
88.8%
With @Mentions
27.8%
With Emojis
99
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.53
Reply/Original Ratio
0.02
Quote/RT Ratio
Posting Rhythm
Consistent
Regular posting cadence
67.2%
Weekday Posts
32.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 500 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 372 retweets (74% 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 500 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 12,641 followersHer audience includes manga fans and creators interested in her work and insights. They are likely to engage with her personal stories and industry commentary.
Good
Audience Quality
12.7%
Suspicion Index
8.2%
Low-Quality %
127
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
13.4%
Empty Bio
4.5%
<10 Tweets
17.1%
Mass Following (>2K)
0.0%
New (<90 days)
30.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
81.2%
No URL
2.9%
<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.
13,249,424
Total Potential Reach
127
Median Follower Reach
384
75th Percentile Reach
9.9%
>1K followers
1.0%
>10K followers
0.2%
>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).
89.7%
Creators
11,336 accounts
5.8%
Consumers
737 accounts
4.5%
Dormant
568 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):
89
Verified Followers
0.7% of total
2,201
Protected Accounts
17.41% of total
9 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 |
|---|---|---|---|
| @tsuda | 1,494,533 | Journalist | Journalism, Media activism, Politics |
| @monhannoero | 589,862 | Cosplayer | cosplay, online shopping, fan support |
| @kingjim | 450,476 | Stationery Manufacturer | stationery, office supplies, news |
| @nukosama | 445,767 | Manga artist | drawing, manga, cycling |
| @netkeiba | 409,232 | Horse Racing | Horse racing, Japanese, Media |
| @sinrinet | 323,403 | Psychiatrist | psychiatry, manga, psychology |
| @bakanoakachan | 288,656 | Mangaka | manga, artist, fish |
| @KoyasuYasuko12 | 201,771 | Illustrator | Illustrator, bake, animate |
| @shinshoga | 189,916 | Entrepreneur | music, ginger, recipes |
| @nagosuzu | 175,330 | Manga Artist | erotic manga, gag manga, yuri |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
10,941
Followers With Bio
1,700
Followers Without Bio
86.55%
% With Bio
13.45%
% 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 500 analyzed228,114
Combined Engagement
0
Total Likes
228,114
Total Retweets
45,623
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @Inaba_RR: 我が名はアシタカ！B'zのライブチケットが落選続きで頭に来て、どうせ今回もダメだろうと全国手当たり次第に応募したら23会場も当選した！支払い総額が30万円を超えている！貯金は8万円！どうしたらよい！！ https://t.co/34DhoRqKMU
RT @CPuqk6: うちのイッヌ、コーギーと柴犬のハーフなんだけどやっぱり体の比率がおかしい https://t.co/zLRTJfTBxp
RT @nztk_b: 変身が曖昧になっていくメタモン https://t.co/vHeQzAjn7l
RT @okihasA: 吸われるポケモンガチャ作りました🔅 https://t.co/Kk6RyRqFFK
RT @KuRoRoUMA: 本日の出来事：つき飛ばしおじさんの被害に遭った。 １６時上がり珍しく残業もなく今日はウッキウキでウィスキー飲んじゃうぞ～！！と買ったウィスキー片手に店を出ようとしたときに明らかにこっちを見て勢いよく向かってくるおじさん、そして私を突き飛ばそうを腕を…
Key Insights & Takeaways
She openly discusses her struggles with drawing and the perception of her work as plagiarism. She shares personal anecdotes about interactions with publishers and the manga industry. She reflects on success and humility, emphasizing the role of effort and luck in one's career.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 14,261
- + 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 @arairie_manga reveals an exceptionally influential Twitter presence with 14,261 followers. The account demonstrates a conversation-first approach, averaging 2,200.1 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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