黒田 隼之介
sumika というバンドでギターを弾いています! よろしくお願いします!ex)banbi、WhiteCrow
125.689
Followers
104.371
Following
10.953
Tweets
1.018,9
Avg Engagement
913
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @mackey_jun'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:2011-12-16
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3.182
- Avg Likes per Tweet:621,3
- Avg Retweets per Tweet:397,5
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.182 tweetsTheir tweets receive high engagement with likes and retweets, indicating a loyal and active fanbase. They often share personal and emotional content that resonates with followers.
621,3
Avg Likes/Tweet
397,5
Avg Retweets/Tweet
1.977.053
Total Likes
1.264.969
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
120
Median Retweets
1.381
75th Percentile
59.831
Top Tweet
8,11
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
5,7%
Original
9,1%
Replies
65,3%
Retweets
19,9%
Quotes
0,0%
Threads
0,3%
With Media
45,4%
With Links
36,0%
With #Tags
74,3%
With @Mentions
16,4%
With Emojis
117
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1,59
Reply/Original Ratio
0,3
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70,6%
Weekday Posts
29,4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.182 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 2.078 retweets (65% 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 3.182 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 includes fans of sumika, music enthusiasts, and those interested in behind-the-scenes band life. They are likely aged 18-35 and value authenticity and emotional connection.
Good
Audience Quality
16,7%
Suspicion Index
22,2%
Low-Quality %
34
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
31,0%
Empty Bio
20,4%
<10 Tweets
3,6%
Mass Following (>2K)
0,0%
New (<90 days)
36,4%
Low Ratio (<0.1)
0,0%
New (<180 days)
90,0%
No URL
13,4%
<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.
29.539.094
Total Potential Reach
34
Median Follower Reach
169
75th Percentile Reach
2,9%
>1K followers
0,3%
>10K followers
0,1%
>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).
59,1%
Creators
29.526 accounts
20,5%
Consumers
10.274 accounts
20,4%
Dormant
10.200 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
35.763
Protected Accounts
35.41% of total
6 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 |
|---|---|---|---|
| @hajimesyacho | 5.475.146 | YouTuber | Comedy, Vlogs, Pranks |
| @MINAMI373HAMABE | 2.276.117 | Actress | Detective Conan, Kakegurui, Drama |
| @RytoSle2 | 1.762.885 | YouTuber | YouTube, Leader, Novelist |
| @ono_kensho | 1.551.946 | Voice Actor | acting, tourism, Unsu |
| @UNIQLO_JP | 1.532.503 | Retail | Fashion, Deals, Customer Service |
| @ndahoFischers | 1.465.935 | YouTuber | music, comedy, family |
| @egutakuya | 1.431.197 | 声優 | Voice acting, LINE stamps |
| @SoccerKingJP | 1.351.689 | Sports Journalist | soccer, YouTube, sports |
| @oricon | 1.315.286 | Entertainment | Entertainment, Music, Movies |
| @AskAaronLee | 1.002.914 | Regional Manager | Social media, Cappuccino, Introvert |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
70.257
Followers With Bio
30.740
Followers Without Bio
69.56%
% With Bio
30.44%
% 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 3.182 analyzed182.493
Combined Engagement
0
Total Likes
182.493
Total Retweets
36.499
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @N_T_t_W: https://t.co/hRCw1YCUdb
RT @horikoshiko: 映画「僕のヒーローアカデミア THE MOVIE ヒーローズ:ライジング」ついに本日公開です!!映画オリジナルキャラクターの真幌ちゃんと活真くんが超可愛いです!僕は鑑賞中、可愛すぎて泣くというなんかよくわからない事になりました!ぜひ劇場でご覧く…
RT @UndertaleJP: https://t.co/oEK8fBLbAq https://t.co/oEK8fBLbAq https://t.co/oEK8fBLbAq
RT @horikoshiko: ヒロアカ映画いよいよ明日12月20公開です!先日試写にお招きいただき一足先に鑑賞したのですが、どエライことになってました!何回も涙ぐんでしまいました。全員かっこよかった!かっこよかったぞ瀬呂!ぜひ劇場でご確認くださいませ! https://t.…
RT @horikoshiko: 4dx映画観てきました!臨場感増し増しで凄かったです!真幌ちゃんと活真くんを養いたいと思いました https://t.co/VEsFI8vjcT
Key Insights & Takeaways
They emphasize gratitude and connection with fans through personal milestones and celebrations. They highlight the importance of music and collaboration in their journey. They show growth and dedication, especially in overcoming personal challenges related to music.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 125.689
- + 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 @mackey_jun reveals an exceptionally influential Twitter presence with 125.689 followers. The account demonstrates a conversation-first approach, averaging 1.018,9 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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