八木沼悟志
fripSide/ALTIMA/pmworks,Inc. CEO
71,452
Followers
254
Following
8,831
Tweets
561.3
Avg Engagement
1,328
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @sat_fripSide'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:2010-03-19
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,216
- Avg Likes per Tweet:379.8
- Avg Retweets per Tweet:181.5
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,216 tweetsThe account has an average of 5,831 likes and 2,350 retweets per tweet, indicating strong fan interaction. The content is well-received and often shared, especially during significant events like member departures.
379.8
Avg Likes/Tweet
181.5
Avg Retweets/Tweet
1,221,439
Total Likes
583,554
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
247
Median Likes
82
Median Retweets
664
75th Percentile
17,446
Top Tweet
7.85
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
47.3%
Original
16.1%
Replies
19.4%
Retweets
17.2%
Quotes
0.0%
Threads
0.2%
With Media
62.0%
With Links
46.3%
With #Tags
36.6%
With @Mentions
10.3%
With Emojis
80
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.34
Reply/Original Ratio
0.89
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67.4%
Weekday Posts
32.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,216 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 623 retweets (19% 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 3,216 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 followersThe audience consists mainly of fans of fripSide, likely aged 15-35, who are emotionally invested in the group's activities. They are highly engaged and responsive to updates and announcements.
Average
Audience Quality
20.3%
Suspicion Index
19.4%
Low-Quality %
60
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
26.5%
Empty Bio
17.8%
<10 Tweets
16.0%
Mass Following (>2K)
0.0%
New (<90 days)
45.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.0%
No URL
12.4%
<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.
4,566,992
Total Potential Reach
60
Median Follower Reach
269
75th Percentile Reach
7.2%
>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).
68.1%
Creators
6,809 accounts
14.1%
Consumers
1,414 accounts
17.8%
Dormant
1,777 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):
50
Verified Followers
0.5% of total
1,523
Protected Accounts
15.23% 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 |
|---|---|---|---|
| @nauru_japan | 467,161 | Tourism | tourism, government, promotion |
| @joyride1969 | 140,495 | Illustrator | anime, special effects, erotic art |
| @renjiro_sps | 102,274 | Content Creator | Gaming, Entertainment, Videos |
| @cocoa_domyoji | 101,888 | Singer | RIOT MUSIC, TikTok, courage |
| @kamechan7407 | 93,683 | Mascot | Drums, Mascot, Cats |
| @shinsekaihero | 63,899 | - | - |
| @sakurazaka_herj | 57,678 | Food Blogger | Linger Hut, Alcohol, Politics |
| @Chiitan_Osaka | 56,510 | - | - |
| @oni_2929 | 53,691 | Gamer | Pazudora, Monsto, MJ |
| @animategyoza | 51,724 | Retailer | Anime, Manga, Games |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,354
Followers With Bio
2,646
Followers Without Bio
73.54%
% With Bio
26.46%
% 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 3,216 analyzed67,166
Combined Engagement
28,694
Total Likes
38,472
Total Retweets
13,433
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
40%
With @Mentions
40%
With Links
Topical Analysis:
RT @nanjolno: 私、南條愛乃のfripSide卒業が発表されました。が！特番でもお話したように、最後まで今のfripらしくゲラゲラ笑いながら楽しく走り切りたいと思います！アリーナツアーなどのお知らせも沢山発表されました。卒業の瞬間まで是非みんなで一緒に楽しい時間を過ごさせてください！ https://t.co/u8ewMjj7Dd
南ちゃんの来春のfripSide卒業が発表されました。共に駆け抜けた12年、ファンの皆様に支えられながら、たくさんの素晴らしい思い出を作ることが出来ました！半年後のツアー最終日まで、fripSideらしく笑顔で駆け抜けたいと思います！よろしくお願いします #fripSide #八木沼悟志
涙が止まりません
RT @toaru_project: TVアニメ「とある科学の超電磁砲T」#7 放送スケジュール変更についてお知らせがございます。詳しくはアニメ公式サイトをご覧ください。https://t.co/TCdRZJzbYe #超電磁砲T
おはようございます。 あらためまして、13年間2期fripSideを応援頂き誠にありがとうございました！ そして南ちゃん、本当にお疲れ様でした！
Key Insights & Takeaways
The account frequently shares emotional and heartfelt messages, which resonate strongly with the fanbase. It emphasizes gratitude and appreciation for the fans' support, which strengthens the connection between the group and its audience. The use of hashtags and personal expressions helps in increasing visibility and engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 71,452
- + 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 @sat_fripSide reveals an well-established Twitter presence with 71,452 followers. The account demonstrates a content-creator strategy, averaging 561.3 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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