高橋 凛
アービング所属/新潟出身 R-1SE Force2023/温泉ソムリエ/大福ちゃん😼と暮らしてます
313,101
Followers
938
Following
610
Tweets
593.1
Avg Engagement
1,398
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @rin_rin_t'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:2013-12-25
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,244
- Avg Likes per Tweet:535.9
- Avg Retweets per Tweet:57.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,244 tweetsHer tweets receive high engagement with an average of 13,188 likes and 642 retweets per tweet. She effectively uses links and visual content to drive interaction.
535.9
Avg Likes/Tweet
57.2
Avg Retweets/Tweet
1,738,574
Total Likes
185,599
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
174
Median Likes
7
Median Retweets
468
75th Percentile
81,505
Top Tweet
1.89
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
41.4%
Original
21.6%
Replies
9.8%
Retweets
27.3%
Quotes
0.0%
Threads
0.0%
With Media
60.8%
With Links
20.3%
With #Tags
32.6%
With @Mentions
81.8%
With Emojis
71
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.52
Reply/Original Ratio
2.78
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.8%
Weekday Posts
25.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,244 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 318 retweets (10% 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 3,244 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 followersHer audience is primarily interested in entertainment, fashion, and lifestyle content. They are likely young adults and teenagers who follow Japanese influencers and event promotions.
Average
Audience Quality
34.1%
Suspicion Index
44.9%
Low-Quality %
33
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
58.5%
Empty Bio
42.1%
<10 Tweets
16.5%
Mass Following (>2K)
0.0%
New (<90 days)
64.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.6%
No URL
31.4%
<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.
10,364,690
Total Potential Reach
33
Median Follower Reach
106
75th Percentile Reach
2.1%
>1K followers
0.2%
>10K followers
0.0%
>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).
38.2%
Creators
19,103 accounts
19.7%
Consumers
9,852 accounts
42.1%
Dormant
21,045 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):
156
Verified Followers
0.15% of total
22,250
Protected Accounts
22.03% of total
4 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 | 6,507,846 | YouTuber | YouTube, SNS, Collaboration |
| @Junkoumon | 477,570 | Comedian | comedy, agriculture, rice |
| @mizusaki_yumi | 336,198 | Entertainer | Dance, TV shows, Streaming |
| @a_kevbot | 319,479 | Artist | self-improvement, commissions, closed |
| @Yishuihan | 283,896 | Chef | Cooking, Food, Culinary arts |
| @Raphael05166140 | 228,351 | Gambler | Slots, Curry bread, Single parent support |
| @Senba_Kaientai | 225,917 | Financial Analyst | Finance, Organization, Taxation |
| @nacomiyase | 180,790 | Influencer | Movies, Sauna |
| @akiman7 | 172,858 | Illustrator | Gundam, Robot Design, Plamodels |
| @VermeilHentai | 166,586 | Artist | Anime, Art, Fantasy |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
43,779
Followers With Bio
57,220
Followers Without Bio
43.35%
% With Bio
56.65%
% 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 3,244 analyzed164,540
Combined Engagement
64,153
Total Likes
100,387
Total Retweets
32,908
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
40%
With @Mentions
60%
With Links
Topical Analysis:
RT @aoitokakeru0920: 先日予防注射に向かう車内で2人の鳴き声が「ヤバ～い」に聞こえてしまい撮ったけど何度聞いても笑ってしまう🤣 2人とも頑張ったね✨ 🐈「やばーい」🐈「え～ん」🐈「やば～い」🐈「やっば～い」🐈「ヤバーい」🐈「ヤバいー」🐈「ヤヴァ～イ」🐈「ヤヴ…
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Key Insights & Takeaways
She leverages event announcements and collaborations to boost engagement Her content often includes lifestyle and entertainment elements that resonate with her audience She uses multiple links and visual media to enhance tweet visibility and interaction
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 313,101
- + 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 @rin_rin_t reveals an well-established Twitter presence with 313,101 followers. The account demonstrates a content-creator strategy, averaging 593.1 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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