kanon_ancafe
カノン(アンティック-珈琲店-/アンカフェ/AN CAFE) ※コーヒーは提供してません。バンドマンです。 ベース持ってる。
51,473
Followers
46,329
Following
11,886
Tweets
179.2
Avg Engagement
690
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @studioblue3'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:2010-02-15
- Verification:No
- Location:千葉県銚子市
Data Summary
- Tweets Analyzed:3,191
- Avg Likes per Tweet:105.6
- Avg Retweets per Tweet:73.5
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,191 tweetsTheir tweets receive a moderate amount of likes and retweets, indicating a loyal and interactive fan base.
105.6
Avg Likes/Tweet
73.5
Avg Retweets/Tweet
337,041
Total Likes
234,636
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
86
Median Likes
17
Median Retweets
149
75th Percentile
126,028
Top Tweet
3.48
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
69.5%
Original
6.4%
Replies
17.1%
Retweets
7.0%
Quotes
0.0%
Threads
0.0%
With Media
57.3%
With Links
8.7%
With #Tags
23.6%
With @Mentions
15.1%
With Emojis
79
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.09
Reply/Original Ratio
0.41
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.9%
Weekday Posts
30.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,191 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 545 retweets (17% 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 3,191 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 appears to be fans of music, particularly those interested in live performances and band culture.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
31
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.3%
No URL
100.0%
<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.
14,798,263
Total Potential Reach
31
Median Follower Reach
154
75th Percentile Reach
6.5%
>1K followers
1.4%
>10K followers
0.5%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
2,111
Protected Accounts
21.11% of total
7 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 |
|---|---|---|---|
| @SinghLions | 1,325,769 | Restaurateur | Food, Travel, Influencer |
| @ericschiffer | 694,965 | CEO | business, media, author |
| @drunk_freedom | 623,732 | Photographer | stray cats, sun, moon |
| @tanjaplayner | 497,232 | Artist | Pop Art, Artist, Artworks |
| @temjincat | 381,827 | Pollster | voting, polls, elections |
| @shiralazar | 352,222 | Host | Wellness, Advocacy, Media |
| @KanzakiTei | 349,664 | Car enthusiast | Cars, Driving, Work |
| @kikuchinchiin | 308,216 | - | - |
| @PRINCE2PROJECT | 305,278 | Project Manager | Project Management, Community, ReTweet |
| @TOWER_Shibuya | 283,019 | Music | music, events, vinyl |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,005
Followers With Bio
2,995
Followers Without Bio
70.05%
% With Bio
29.95%
% 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 3,191 analyzed136,115
Combined Engagement
5,203
Total Likes
130,912
Total Retweets
27,223
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
40%
With @Mentions
80%
With Links
Topical Analysis:
RT @kyoani: ご支援の御礼とご案内につきまして https://t.co/uzVcnw4ZCI
RT @banyaro_net: 【アルバム発売決定！】『デュエル・ギグ！vol.3』『DUEL GIG RIVALS』『DUEL GIG EXTRA』3タイトル2018年11月21日同時発売✨ 『DUEL GIG RIVALS』にはライバルバンドによる楽曲を収録、 『DUEL GIG EXTRA』ではメインキャラクター16人のEXRソロ楽曲が初フル音源化！ https://t.co/EfE0IwcytV https://t.co/dUNcvE8Dsr
グランドフィナーレ本当にありがとうございました！凄いたくさんの手紙やメッセージもありがとう！ 思い出や頂いた言葉達を糧にこれからも一歩ずつノソノソ歩いて行きます。 この世界は青い空で繋がって皆んなは生きている。 ニャッピー！o(≧∀≦)o https://t.co/0e6BmufpHJ
バンやろ！フェス観てきました。企画コーナーもライブも各バンド特色出てて楽しヵッタです。この後20:30〜ニコ生もあるってんで、終演後は皆さんドタバタしてたにも関わらず、蒼井翔太くんと無事ハイタッチ挨拶できました♡お忙しい中ありがとうございました。 #バンドやろうぜ #フェアエプ
またいつか生きてお会いしましょう。 ありがとうございました。ちゃんちゃん。 https://t.co/yiAzGtVgm1
Key Insights & Takeaways
They often express gratitude towards fans and share personal reflections on their journey as a musician. They participate in and promote live events and music festivals, showing a strong connection to the live music scene. They use emotive language and emojis, which helps to create a warm and personal connection with their followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 51,473
- + 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 @studioblue3 reveals an well-established Twitter presence with 51,473 followers. The account demonstrates a content-creator strategy, averaging 179.2 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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