大雅 Taiga🇯🇵
格闘技してます。
49,205
Followers
253
Following
4,367
Tweets
417.8
Avg Engagement
166
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @taiga_0814'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:2013-03-24
- Verification:Yes
- Location:Japan
Data Summary
- Tweets Analyzed:599
- Avg Likes per Tweet:375.8
- Avg Retweets per Tweet:42.1
- Followers Analyzed:49,309
Engagement Analysis
Based on 599 tweetsTheir tweets receive a high number of likes and retweets, indicating strong audience interaction. The content is relatable and resonates with followers who value determination and hard work.
375.8
Avg Likes/Tweet
42.1
Avg Retweets/Tweet
225,096
Total Likes
25,189
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
156
Median Likes
11
Median Retweets
431
75th Percentile
9,017
Top Tweet
8.49
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
51.9%
Original
4.2%
Replies
23.7%
Retweets
20.2%
Quotes
0.0%
Threads
1.0%
With Media
76.8%
With Links
22.4%
With #Tags
31.9%
With @Mentions
37.1%
With Emojis
79
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.08
Reply/Original Ratio
0.85
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.8%
Weekday Posts
30.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 599 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 142 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 599 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 49,309 followersThe audience appears to be fans of combat sports and individuals interested in personal growth and perseverance. They are likely to be athletes, fitness enthusiasts, or people seeking inspiration.
Good
Audience Quality
17.5%
Suspicion Index
27.4%
Low-Quality %
73
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.4%
Empty Bio
20.6%
<10 Tweets
4.9%
Mass Following (>2K)
0.0%
New (<90 days)
31.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.8%
No URL
13.3%
<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.
29,929,558
Total Potential Reach
73
Median Follower Reach
257
75th Percentile Reach
3.6%
>1K followers
0.4%
>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).
59.6%
Creators
29,390 accounts
19.8%
Consumers
9,763 accounts
20.6%
Dormant
10,156 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):
133
Verified Followers
0.27% of total
14,284
Protected Accounts
28.97% 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 | 5,484,403 | YouTuber | Comedy, Vlogs, Pranks |
| @brianjesse1 | 2,178,540 | Entertainer | Rap, Comedy, Gaming |
| @sosotakei | 1,561,951 | Athlete | fencing, athlete, warrior |
| @MorikuBorn | 741,002 | Voice Actor | Voice acting, Anime, YouTube |
| @takerusegawa | 504,542 | Athlete | K-1, Krush, Designer |
| @JOY19850415 | 398,726 | Influencer | Beauty, Soccer, Martial Arts |
| @KAIRI_official | 385,362 | Wrestler | Wrestling, Sailing, Fitness |
| @rizin_PR | 306,755 | MMA Promoter | MMA, Fighting, Events |
| @hirako_yuki | 283,903 | Comedian | Comedy, Singing, Secret |
| @TPablow | 263,547 | Rapper | Music, Hip-hop, Japan |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
28,912
Followers With Bio
20,397
Followers Without Bio
58.63%
% With Bio
41.37%
% 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 599 analyzed25,850
Combined Engagement
19,231
Total Likes
6,619
Total Retweets
5,170
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
0%
With @Mentions
60%
With Links
Topical Analysis:
練習で使い古したグローブ欲しい人居ますか？？笑 居たらRTしてくれた人からランダムに送りつけます https://t.co/T3yjC6t7vd
舐めるのは良いけどちゃんと体重落として来いよ。 お前はアマチュアと変わらないよ https://t.co/ccEzqd7jcI
昨日は沢山の応援ありがとうございました‼︎ 勝てなくて本当に申し訳ないです。 ただ諦めれません。また戻って来ます。
壁にぶつかろうがぶち壊しに行けばいい。 逃げたら何も残らないです。 それを自分が見せます。 never give upですな
今年の汚れは今年の内に 必ず倒します。 大晦日見てて下さい。 #rizin #rizin20 https://t.co/Gxdh5visAq
Key Insights & Takeaways
The user emphasizes the importance of discipline and weight loss in combat sports. They express gratitude for support and show resilience despite setbacks. Their message of never giving up is a recurring theme and likely motivates their followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 49,205
- + 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 @taiga_0814 reveals an well-established Twitter presence with 49,205 followers. The account demonstrates a content-creator strategy, averaging 417.8 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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