ラップスタア誕生
#ラップスタア誕生 2023 🎙ABEMA「ラップスタア誕生」の公式アカウント|番組情報などを紹介 ◆次世代ラッパー発掘オーディション 📩
68,576
Followers
55
Following
1,444
Tweets
353.4
Avg Engagement
81
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @rapstar_jp'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:2017-11-30
- Verification:Yes
- Location:Not specified
Data Summary
- Tweets Analyzed:1,333
- Avg Likes per Tweet:300.4
- Avg Retweets per Tweet:53.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,333 tweetsThe account has high engagement with an average of 6,106 likes and 1,398 retweets per tweet. It effectively uses hashtags and links to drive interaction and traffic.
300.4
Avg Likes/Tweet
53.0
Avg Retweets/Tweet
400,437
Total Likes
70,698
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
68
Median Likes
16
Median Retweets
293
75th Percentile
11,779
Top Tweet
5.15
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
72.8%
Original
1.7%
Replies
24.4%
Retweets
1.1%
Quotes
0.0%
Threads
0.0%
With Media
83.3%
With Links
74.1%
With #Tags
31.7%
With @Mentions
25.5%
With Emojis
124
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.02
Reply/Original Ratio
0.04
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.4%
Weekday Posts
28.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,333 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 325 retweets (24% 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 1,333 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 primary audience is fans of hip-hop and aspiring rappers interested in the show. The content appeals to young adults, particularly those in their teens and early 20s.
Good
Audience Quality
18.5%
Suspicion Index
29.0%
Low-Quality %
45
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.7%
Empty Bio
23.8%
<10 Tweets
2.8%
Mass Following (>2K)
0.0%
New (<90 days)
34.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.1%
No URL
15.3%
<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.
32,445,247
Total Potential Reach
45
Median Follower Reach
228
75th Percentile Reach
3.2%
>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).
54.9%
Creators
27,470 accounts
21.3%
Consumers
10,628 accounts
23.8%
Dormant
11,902 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):
24
Verified Followers
0.04% of total
17,005
Protected Accounts
27.72% 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 |
|---|---|---|---|
| @JohnCena | 14,106,729 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,303 | - | - |
| @susumu_fujita | 710,138 | Entrepreneur | CyberAgent, AbemaTV, M-League |
| @paiyu2 | 344,460 | Comedian | #センス爆発, #リーダー, #四千頭身 |
| @hikacgames | 287,285 | YouTuber | Gaming, YouTube, Commentary |
| @TPablow | 263,713 | Rapper | Music, Hip-hop, Japan |
| @michio_isou_bot | 168,509 | Bot Account | Tom Brown, Comedy, DM Submissions |
| @kusari_usagi | 155,273 | Manga artist | manga, local, merchandise |
| @yellowbucks | 143,084 | Musician | Japan, TTTG, Yellow |
| @OverZenith369 | 131,038 | Musician | Music, Booking, Poetry |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
35,355
Followers With Bio
25,980
Followers Without Bio
57.64%
% With Bio
42.36%
% 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 1,333 analyzed44,351
Combined Engagement
38,640
Total Likes
5,711
Total Retweets
8,870
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
#ラップスタア誕生 応募総数過去最高最多！ 2546人の中から #応募動画先出し CYBER RUI/大阪府/18歳 https://t.co/Vrb8EWUCHg
#ラップスタア誕生 応募総数過去最高最多！ 2546人の中から #応募動画先出し Bonbero/千葉県/18歳 https://t.co/haalDe6JUz
lil soft tennis/神奈川県/23歳 #ラップスタア誕生 応募総数過去最多！ 3457人の中から #応募動画ピックアップ https://t.co/T4x0RN1wZW
Tade Dust/千葉県/20歳 #ラップスタア誕生 応募総数過去最多！ 3457人の中から #応募動画ピックアップ https://t.co/u6icmGMk4y
valknee/東京都/31歳 #ラップスタア誕生 応募総数過去最多！ 3457人の中から #応募動画ピックアップ https://t.co/SapC5tHMee
Key Insights & Takeaways
The account focuses on promoting the show's auditions and showcasing contestant entries. It uses hashtags and links to highlight standout performers and encourage engagement. It maintains a consistent theme of competition and talent discovery.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 68,576
- + 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 @rapstar_jp reveals an well-established Twitter presence with 68,576 followers. The account demonstrates a content-creator strategy, averaging 353.4 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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