木谷高明
ブシロードの木谷です。コンテンツ開発の「前線」から「最前線」へ。
80,371
Followers
305
Following
47,046
Tweets
632.6
Avg Engagement
1,424
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @kidanit'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:2011-02-10
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,247
- Avg Likes per Tweet:131.4
- Avg Retweets per Tweet:501.2
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,247 tweetsTheir tweets typically receive high engagement, with an average of 4,874 likes and 1,656 retweets. This indicates a strong and active community interested in their content.
131.4
Avg Likes/Tweet
501.2
Avg Retweets/Tweet
426,640
Total Likes
1,627,258
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
31
Median Likes
35
Median Retweets
391
75th Percentile
27,829
Top Tweet
7.87
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
23.6%
Original
6.6%
Replies
41.9%
Retweets
27.9%
Quotes
0.0%
Threads
0.2%
With Media
74.0%
With Links
79.3%
With #Tags
52.9%
With @Mentions
31.9%
With Emojis
108
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.28
Reply/Original Ratio
0.67
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67.0%
Weekday Posts
33.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,247 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 1,360 retweets (42% 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 3,247 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 10,000 followersTheir audience primarily consists of anime fans and entertainment enthusiasts interested in Band-Ri and Bushiroad projects. They also engage with industry professionals and collaborators.
Good
Audience Quality
18.1%
Suspicion Index
16.8%
Low-Quality %
65
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
23.6%
Empty Bio
14.6%
<10 Tweets
13.8%
Mass Following (>2K)
0.0%
New (<90 days)
42.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.6%
No URL
10.0%
<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.
12,829,914
Total Potential Reach
65
Median Follower Reach
310
75th Percentile Reach
8.9%
>1K followers
1.3%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
71.0%
Creators
7,102 accounts
14.4%
Consumers
1,441 accounts
14.6%
Dormant
1,457 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):
99
Verified Followers
0.99% of total
1,067
Protected Accounts
10.67% 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 |
|---|---|---|---|
| @konotarogomame | 2,664,663 | Politician | Politics, Soccer, Marathon |
| @omarupolka | 914,770 | VTuber | Circus, Fennec, Swing |
| @akirosenthal | 672,211 | Vtuber | Vtuber, Half-elf, Curious |
| @nauru_japan | 464,750 | Tourism | tourism, government, promotion |
| @kaeru_dx | 300,856 | Manga Artist | Manga, Otaku, Plushie Design |
| @saekipointy | 230,490 | Entrepreneur | self love, happy, sexual stories |
| @marica_1029 | 224,418 | Adult entertainer | Penthouse Pet, Youtuber, Cancer Fighter |
| @virtualworks1 | 157,294 | Cognitive Scientist | brainwashing, cognitive science, virtual doctor |
| @asanoruri | 141,986 | VTuber | Anime, Ninja, Vtuber |
| @kosaka_daimaou | 141,447 | Entertainer | family, hatsune miku, cats |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,635
Followers With Bio
2,365
Followers Without Bio
76.35%
% With Bio
23.65%
% 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 3,247 analyzed123,273
Combined Engagement
0
Total Likes
123,273
Total Retweets
24,655
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
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RT @bang_dream_gbp: #ガルパ超大型アプデ発表会🎊 放送記念キャンペーン! 抽選で✨10名様✨に、えらべるPay5000円分をプレゼント🎁 応募方法 1️⃣ガルパ(@bang_dream_gbp)をフォロー 2️⃣本ツイートをRT このツイートに いいね or RT をすると、当日お知らせが届きます💓 #バンドリ #ガルパ
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Key Insights & Takeaways
They often share updates on major events and milestones, such as the Band-Ri anniversary live. They emphasize collaboration and the future of projects, showing a focus on community and long-term vision. Their content is highly engaging, suggesting a strong connection with their audience and industry relevance.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 80,371
- + 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 @kidanit reveals an well-established Twitter presence with 80,371 followers. The account demonstrates a content-creator strategy, averaging 632.6 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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