天竺鼠 川原
🍆
646,545
Followers
1
Following
4,963
Tweets
1,737.7
Avg Engagement
1
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @kawaharakatumi'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:2014-01-04
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:1,577.1
- Avg Retweets per Tweet:160.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,249 tweetsTheir tweets receive a high number of likes and retweets, indicating strong audience interaction.
1,577.1
Avg Likes/Tweet
160.6
Avg Retweets/Tweet
5,124,017
Total Likes
521,734
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1,054
Median Likes
63
Median Retweets
2,146
75th Percentile
83,926
Top Tweet
2.69
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
66.1%
Original
18.9%
Replies
0.2%
Retweets
14.8%
Quotes
0.0%
Threads
0.0%
With Media
63.9%
With Links
19.0%
With #Tags
19.2%
With @Mentions
15.2%
With Emojis
55
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.29
Reply/Original Ratio
68.71
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.5%
Weekday Posts
33.5%
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 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 7 retweets (0% 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 50,000 followersTheir audience appears to be interested in entertainment, humor, and personal storytelling.
Average
Audience Quality
23.6%
Suspicion Index
32.1%
Low-Quality %
16
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.1%
Empty Bio
30.4%
<10 Tweets
3.9%
Mass Following (>2K)
0.0%
New (<90 days)
50.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.1%
No URL
20.2%
<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.
14,300,602
Total Potential Reach
16
Median Follower Reach
115
75th Percentile Reach
2.3%
>1K followers
0.2%
>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).
49.4%
Creators
24,718 accounts
20.1%
Consumers
10,062 accounts
30.4%
Dormant
15,220 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):
113
Verified Followers
0.11% of total
28,099
Protected Accounts
28.1% of total
5 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 |
|---|---|---|---|
| @becky_bekiko | 1,933,362 | Director | bathing, director, relaxation |
| @fuwa876 | 1,110,335 | Influencer | Justin Bieber, YouTube, Fuwa-chan |
| @snexxxxxxx | 851,733 | Artist | Art, Illustration, Online Store |
| @TeppenTenshin | 785,195 | Athlete | TARGET, Cygames, Artist |
| @kyockcho | 419,849 | Manga artist | Anime, Manga, Love |
| @AliceProject_mb | 341,552 | Idol | Music, Idol, Performance |
| @matsu_dice | 326,651 | Baseball | Baseball, Golf, Fishing |
| @YunaTamago_zZ | 282,752 | YouTuber | Video, INFP, Weekly |
| @mok2mok2 | 234,667 | Influencer | Kindness, Connection, Positivity |
| @KiryuYoshihide | 191,612 | Athlete | 100m, Asics, Health |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
56,085
Followers With Bio
43,915
Followers Without Bio
56.09%
% With Bio
43.91%
% 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 analyzed293,282
Combined Engagement
197,188
Total Likes
96,094
Total Retweets
58,656
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
https://t.co/aC6LjVygYa
だったら最初に 『おまえらカメラ回してないやろな？』って言ってほしかった
RT @catsclinic: うちのデッキにちょくちょく遊びに来ていたシロクロ猫…勝手にクロちゃんと命名。 ある日、ノミ取り首輪を付けていたので、『やはり飼い猫だったのかぁ』と思い、その首輪に小さな手紙を結びつけました。。。すると翌日、返信が首輪についていました！ https…
何かわからないものが、ずっと すごい弱火ですごい焦げている
駄目なんかい！！ https://t.co/zzutprG8is
Key Insights & Takeaways
Their content often includes humorous and personal reflections They engage with their audience through relatable and candid posts They use a mix of humor and storytelling to connect with followers
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 646,545
- + 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 @kawaharakatumi reveals an exceptionally influential Twitter presence with 646,545 followers. The account demonstrates a content-creator strategy, averaging 1,737.7 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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