アビスパ福岡【公式】
アビスパ福岡公式 #アビスパ福岡 Instagram：https://www.facebook.com/unsupportedbrowser TikTok：https://www.tiktok.com/@avispaf_ YouTube：https://www.youtube.com/avispachannel
120,298
Followers
18,649
Following
27,708
Tweets
325.5
Avg Engagement
1,707
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @AvispaF'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:2010-02-02
- Verification:No
- Location:福岡市
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:255.5
- Avg Retweets per Tweet:70.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,249 tweetsThe account has a high average number of likes and retweets, indicating strong engagement from its followers. It frequently shares updates and announcements, which likely contribute to its active interaction with the audience.
255.5
Avg Likes/Tweet
70.0
Avg Retweets/Tweet
830,002
Total Likes
227,586
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
138
Median Likes
28
Median Retweets
326
75th Percentile
15,769
Top Tweet
2.71
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
73.3%
Original
3.9%
Replies
11.8%
Retweets
10.9%
Quotes
0.0%
Threads
1.3%
With Media
95.7%
With Links
95.2%
With #Tags
15.4%
With @Mentions
91.2%
With Emojis
162
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.05
Reply/Original Ratio
0.93
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
62.2%
Weekday Posts
37.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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 383 retweets (12% 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 3,249 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 primary audience consists of football fans and supporters of Avispa Fukuoka, as well as potential new followers interested in the club's activities. The audience is likely to be interested in sports news, player updates, and club events.
Average
Audience Quality
25.2%
Suspicion Index
33.2%
Low-Quality %
23
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.2%
Empty Bio
32.1%
<10 Tweets
11.1%
Mass Following (>2K)
0.0%
New (<90 days)
48.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.2%
No URL
24.2%
<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.
4,156,190
Total Potential Reach
23
Median Follower Reach
176
75th Percentile Reach
4.9%
>1K followers
0.5%
>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).
49.5%
Creators
4,950 accounts
18.4%
Consumers
1,840 accounts
32.1%
Dormant
3,210 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):
46
Verified Followers
0.46% of total
1,551
Protected Accounts
15.51% of total
3 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 | 457,651 | Tourism | tourism, government, promotion |
| @AliceProject_mb | 356,378 | Idol | Music, Idol, Performance |
| @PaidyJP | 144,132 | Payment Services | shopping, payment, convenience |
| @kamechan7407 | 92,645 | Mascot | Drums, Mascot, Cats |
| @CelticFCJPN | 83,995 | Sports Marketing | Football, Japan, Updates |
| @uguisujyo_KCCo | 61,206 | Voice Actress | MC, Voice Professional, Talk Magic |
| @atarundesu_jp | 58,349 | - | - |
| @hkunimitsu | 54,122 | Entrepreneur | gaming, entrepreneurship, technology |
| @sayaboooo | 53,671 | Gamer | Puzzle games, Twitter contests, Connecting with players |
| @M_Usane | 46,974 | Vtuber | Vtuber, Galpa, Events |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,783
Followers With Bio
4,217
Followers Without Bio
57.83%
% With Bio
42.17%
% 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 3,249 analyzed45,213
Combined Engagement
22,941
Total Likes
22,272
Total Retweets
9,043
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
60%
With @Mentions
100%
With Links
Topical Analysis:
RT @J_League: Ｊリーグから巣立った選手たちが、カタールで戦っていた。 祭りが終わって、もうすぐ日常が始まる。 次の主役たちは、たぶん、私たちの日常の中にいる。 もしかしたら、いつものスタジアムのピッチに。 また、ここから始めよう。 四年後じゃない。二ヶ月後だ。 2023年2月17日、Ｊリーグ開幕。 https://t.co/WNwDYFQxaA
【#井手口陽介 選手 #セルティックFC より期限付き移籍加入のお知らせ 】 ようこそアビスパへ🐝 今シーズン共に闘いましょう🔥 <本人コメント＞ #アビスパ福岡 のみなさん、初めまして。#井手口陽介 です。このクラブのために自分ができることをすべて出し…(続きはHPへhttps://t.co/xMdmmzo9pt)
／ #にじJ1クラブコラボ 🌈🕒⚽️ 📣クラブ×ライバーの組み合わせが決定🐝✨ ＼ #アビスパ福岡 のライバーは、昨年に引き続き #叶 さん(@Kanae_2434)に決定しました😊 叶さん、今年もよろしくお願いします🤜🤛 ▼特設サイト https://t.co/lWjl8dDzZG #Ｊリーグ #にじさんじ https://t.co/WtoWZAqfFa
【＃ウェリントン 選手 加入のお知らせ 】 昨シーズンまで #湘南ベルマーレ に所属し、2015～2017シーズンまで #アビスパ福岡 に所属していたウェリントン選手の加入が決定いたしました🙌 おかえりなさい🐝 今シーズン共に闘いましょう🔥 本人コメントなど詳しくはこちら ▶️https://t.co/iMSs3cMxoe https://t.co/Z9ZoypCL7U
／ #にじJ1クラブコラボ 🌈🕒⚽️ コラボ限定描き下ろしイラスト解禁✨ ＼ #叶 さん（@Kanae_2434）の ユニフォーム姿もかっこいい😎👍 今年も一緒に #ベススタ を盛り上げましょう🔥 コラボ特別企画の詳細は🔽 https://t.co/lWjl8dDzZG #Ｊリーグ #にじさんじ #アビスパ福岡 https://t.co/M07fLSAfcy
Key Insights & Takeaways
The account frequently shares player announcements and collaborations, which helps maintain fan interest. It uses multiple social media platforms to increase visibility and engagement. The content is tailored to appeal to football fans and supporters of the club.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 120,298
- + 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 @AvispaF reveals an well-established Twitter presence with 120,298 followers. The account demonstrates a content-creator strategy, averaging 325.5 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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