キムテス(公式マーク)
Twitter生まれTwitter公認ツイ廃です。ド陰キャです。※募集ツイートのリプは動画で使用させて頂く可能性があります。TikTok→ https://www.tiktok.com/@kimuti_x0サブ垢@Tino_O505 ド偏見bot @DohenkenBot
250,593
Followers
4,564
Following
53,083
Tweets
2,535.3
Avg Engagement
606
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @kimuti_X'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:2018-03-02
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:2,206.6
- Avg Retweets per Tweet:328.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account has high engagement with an average of 132,117 likes and 20,775 retweets per tweet. The content is popular and widely shared.
2,206.6
Avg Likes/Tweet
328.7
Avg Retweets/Tweet
7,171,421
Total Likes
1,068,181
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
0
Median Retweets
54
75th Percentile
228,649
Top Tweet
10.12
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
11.4%
Original
87.6%
Replies
0.9%
Retweets
0.1%
Quotes
0.0%
Threads
0.0%
With Media
13.2%
With Links
0.6%
With #Tags
84.7%
With @Mentions
8.3%
With Emojis
32
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
7.65
Reply/Original Ratio
0.1
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.7%
Weekday Posts
28.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 29 retweets (1% 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 3,250 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 followersThe audience likely includes nostalgia lovers, anime and manga fans, and pet enthusiasts. They are also interested in humor and relatable content.
Good
Audience Quality
17.8%
Suspicion Index
19.1%
Low-Quality %
41
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
27.5%
Empty Bio
17.0%
<10 Tweets
9.6%
Mass Following (>2K)
0.0%
New (<90 days)
41.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.4%
No URL
10.6%
<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.
33,076,341
Total Potential Reach
41
Median Follower Reach
198
75th Percentile Reach
5.7%
>1K followers
0.5%
>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).
63.2%
Creators
31,599 accounts
19.8%
Consumers
9,913 accounts
17.0%
Dormant
8,488 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):
262
Verified Followers
0.26% of total
22,850
Protected Accounts
22.62% of total
3 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 |
|---|---|---|---|
| @enako_cos | 2,042,913 | Cosplayer | 田村ゆかり, FPS, 音ゲー |
| @SinghLions | 1,334,435 | Restaurateur | Food, Travel, Influencer |
| @udon_lov | 1,037,186 | Food Blogger | Udon, Low Activity, Follow for Happiness |
| @inoueyusuke | 983,026 | Comedian | Comedy, Positive Vibes, Fan Club |
| @ironmouse | 812,891 | Vtuber | Vtuber, ironmouseart, Demon Queen |
| @junjunmjgirly | 658,953 | Singer | Music, Singing, Entertainment |
| @rswxx | 652,886 | Illustrator | illustration, video games, character creation |
| @norioo_ | 642,318 | Manga Artist | manga, vtuber, producer |
| @naomi_majima | 642,281 | Entertainer | Singing, Acting, DJing |
| @pageratta | 590,583 | Illustrator | Drawing, Manga, Art |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
74,069
Followers With Bio
26,929
Followers Without Bio
73.34%
% With Bio
26.66%
% 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 3,250 analyzed919,233
Combined Engagement
802,568
Total Likes
116,665
Total Retweets
183,847
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
今の小学生は知らない懐かしいNHKのキャラをまとめました https://t.co/ZY23t36NSG
友達と話した後これになる https://t.co/nmlRFWA7ZF
ペットのお悩み相談配信をする猫 https://t.co/YpfeabRV9s
最近学校にこれしかいない https://t.co/KrlopLADUZ
←昔の自分 今の自分→ https://t.co/0oK17zifj4
Key Insights & Takeaways
The user frequently shares nostalgic content related to NHK characters, which resonates with their audience. They engage with followers by possibly using reply tweets in videos, which adds a personal touch. The account also runs a bot and has a sub-account, indicating a multi-platform strategy.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 250,593
- + 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 @kimuti_X reveals an exceptionally influential Twitter presence with 250,593 followers. The account demonstrates a conversation-first approach, averaging 2,535.3 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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