45,868
Followers
37
Following
601
Tweets
1,311.4
Avg Engagement
523
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @takeimokei'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:2015-06-02
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:599
- Avg Likes per Tweet:862.8
- Avg Retweets per Tweet:448.6
- Followers Analyzed:46,405
Engagement Analysis
Based on 599 tweetsThe account has a high average number of likes and retweets, indicating strong audience interaction. The engagement is consistent across tweets, suggesting a loyal following.
862.8
Avg Likes/Tweet
448.6
Avg Retweets/Tweet
516,814
Total Likes
268,717
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
134
Median Likes
74
Median Retweets
958
75th Percentile
34,542
Top Tweet
28.59
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
84.6%
Original
0.3%
Replies
3.3%
Retweets
11.7%
Quotes
0.0%
Threads
0.0%
With Media
72.1%
With Links
1.5%
With #Tags
4.0%
With @Mentions
8.2%
With Emojis
60
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.0
Reply/Original Ratio
3.5
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
73.6%
Weekday Posts
26.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 599 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 20 retweets (3% 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 599 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 46,405 followersThe audience is likely fans of 武井宏之's manga and readers of JR East's 'トランヴェール' magazine. They are interested in art, manga, and transportation-related content.
Good
Audience Quality
13.5%
Suspicion Index
11.9%
Low-Quality %
95
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
19.5%
Empty Bio
6.4%
<10 Tweets
13.2%
Mass Following (>2K)
0.0%
New (<90 days)
32.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
82.0%
No URL
4.3%
<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.
53,627,907
Total Potential Reach
95
Median Follower Reach
277
75th Percentile Reach
6.8%
>1K followers
1.1%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
86.0%
Creators
39,886 accounts
7.6%
Consumers
3,532 accounts
6.4%
Dormant
2,987 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):
185
Verified Followers
0.4% of total
11,305
Protected Accounts
24.36% 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 |
|---|---|---|---|
| @hajimesyacho | 5,484,405 | YouTuber | Comedy, Vlogs, Pranks |
| @egutakuya | 1,430,511 | 声優 | Voice acting, LINE stamps |
| @NEBU_KURO | 1,101,959 | 漫画家 | 漫画, 作画, ワンパンマン |
| @MikaPikaZo | 1,084,207 | Character Designer | Character design, Art direction, Fashion design |
| @shirabii | 698,451 | Illustrator | Anime, Illustration, Email marketing |
| @lalalalack | 696,195 | Illustrator | FGO, Vtuber, Illustration |
| @fuzichoco | 633,335 | Illustrator | Magical Mirai 2020, Character Design, Illustration |
| @ga673899 | 614,288 | Illustrator | Drawing, Adult content, NIHAO6069 |
| @tomiokasena | 482,468 | Content creator | Anime, Fanbox, Wishlist |
| @akakura1341 | 470,456 | Illustrator | Sweets, Fashion, Illustration |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
37,365
Followers With Bio
9,040
Followers Without Bio
80.52%
% With Bio
19.48%
% 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 599 analyzed121,302
Combined Engagement
68,279
Total Likes
53,023
Total Retweets
24,260
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
JR東日本の「トランヴェール」8月号で特集組んでいただきました。もう出回ってるけど正式には今日から解禁ということで元絵のアンナです。JR東日本の新幹線をご利用の際はぜひ。 https://t.co/L4R6av93L9
なんとかなる https://t.co/ApWwcXIx6r
じつを言うと本格的なところまで再アニメ化の話はありましたが…前作の声優さんや楽曲が使用できないとのことで、お断りさせていただきました。またチャンスがあるといいですね https://t.co/gk4i5TsFEi
SHAMAN KING完全版より…。当時、カラーでほぼ全キャラ描きおこしたのですが。おかげで小さく掲載せざるを得なかったので、データの整とんついでにゆっくり公開していこうかな、と思っています。 https://t.co/GG6jqj4z9m
あとJR東日本の「トランヴェール」8月号も大反響ありがとうございます。 本当はあのメンバーのこともっと描きたかったんだけど…旅に全然関係なかった。 https://t.co/7JfbBbhwW9
Key Insights & Takeaways
The account frequently shares content related to JR East's 'トランヴェール' magazine, which is a key focus. The artist's work is often highlighted, showing a strong connection to their creative output. There is a mix of promotional and personal content, indicating a balance between professional and personal engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 45,868
- + 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 @takeimokei reveals an exceptionally influential Twitter presence with 45,868 followers. The account demonstrates a content-creator strategy, averaging 1,311.4 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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