ねこかず
ラブライブ好きです^^^ NSR250R MC21ってやつとDJ-1RとVTR1000SP2 モトブログやってます! ねこかずってアカウントでやってます! お仕事のご連絡はこちら!nekokazu3232@yahoo.co.jp
63,600
Followers
1,224
Following
14,033
Tweets
701.8
Avg Engagement
209
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @VTwin_'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:2016-01-12
- Verification:No
- Location:福岡県
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:676.3
- Avg Retweets per Tweet:25.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 500 tweetsTheir tweets receive a moderate to high level of engagement, with an average of 2,583 likes and 128 retweets per tweet. They actively interact with their followers through personal updates and event promotions.
676.3
Avg Likes/Tweet
25.5
Avg Retweets/Tweet
338,156
Total Likes
12,741
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
588
Median Likes
19
Median Retweets
1,167
75th Percentile
3,570
Top Tweet
11.03
Engagement per 1K Followers
Normalized influence metric
Consistent
Engagement Pattern
Steady engagement across posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
63.0%
Original
26.8%
Replies
8.8%
Retweets
1.4%
Quotes
0.0%
Threads
0.0%
With Media
72.0%
With Links
0.4%
With #Tags
33.4%
With @Mentions
34.2%
With Emojis
70
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.43
Reply/Original Ratio
0.16
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
68.6%
Weekday Posts
31.4%
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 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 44 retweets (9% 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 50,000 followersTheir audience is likely fans of Love Live!, motorcycle enthusiasts, and individuals interested in their personal life and hobbies. They also attract attention through their YouTube live events.
Good
Audience Quality
12.6%
Suspicion Index
17.5%
Low-Quality %
86
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
24.3%
Empty Bio
17.4%
<10 Tweets
6.4%
Mass Following (>2K)
0.0%
New (<90 days)
19.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.1%
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.
26,169,561
Total Potential Reach
86
Median Follower Reach
294
75th Percentile Reach
6.3%
>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).
62.0%
Creators
30,980 accounts
20.7%
Consumers
10,327 accounts
17.4%
Dormant
8,693 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):
108
Verified Followers
0.17% of total
10,332
Protected Accounts
16.53% 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 |
|---|---|---|---|
| @hikakin | 6,519,346 | YouTuber | YouTube, SNS, Collaboration |
| @hukkatunoyuyuta | 681,382 | Content Creator | anime, gaming, art |
| @dai2noyuyuta | 371,627 | Voice actor | Music, Anime, Gaming |
| @Asashoryu | 345,695 | Sumo Wrestler | Sumo, Mongolia, Yokozuna |
| @AliceProject_mb | 340,185 | Idol | Music, Idol, Performance |
| @takkuxutv | 314,303 | YouTuber | Cooking, YouTube, Broadcasting |
| @TwitFukuoka | 306,811 | News Outlet | - |
| @GaijinRoman | 294,048 | YouTuber | Youtube, Roman, Gaijin |
| @robtswthrayguns | 259,721 | Inventor | synthwave, NFT, NSFW |
| @Senba_Kaientai | 225,829 | Financial Analyst | Finance, Organization, Taxation |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
47,693
Followers With Bio
14,812
Followers Without Bio
76.3%
% With Bio
23.7%
% 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 500 analyzed15,036
Combined Engagement
14,365
Total Likes
671
Total Retweets
3,007
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
ついに福岡でも雪が降っとるらしい!!!!!!!!!!!!!!!!!!! https://t.co/vEc94FU7I9
身体だけMotoGP https://t.co/DP5nkwtc59
今日は私の誕生日!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! 夜はYouTubeにてライブを行います✨ 是非みんな来てね>< https://t.co/MDcasM10cJ
福岡県大変なことになっとりますけど!!!!!!!!!!!!!!!!!!!!!!!!!! https://t.co/kEhEULVknf
NSR250Rで走るの怖ええええええ!!!!! https://t.co/rMMZSZ3Ofw
Key Insights & Takeaways
They leverage personal milestones to boost engagement and visibility Their content blends entertainment and hobby-related topics to maintain audience interest They use a mix of personal and professional content to diversify their Twitter presence
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 63,600
- + 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 @VTwin_ reveals an well-established Twitter presence with 63,600 followers. The account demonstrates a content-creator strategy, averaging 701.8 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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