英国風パブ「HUB(82)」【公式】
いらっしゃいませ！英国風パブ HUB（ハブ）82（エイティトゥ）Twitter店です！なかの人 (💂♀️) と(👩🍳)の 2人でゆる～く営業中。 お店に関する情報や日々のつぶやきをお届けします🍻お店に行ったことがある方も、これからの方もみなさま一緒にワイガヤしましょう🍻全てにご返答できない場合があります。
97,609
Followers
6,319
Following
9,114
Tweets
219.3
Avg Engagement
436
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @HUB_82'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:2010-10-15
- Verification:No
- Location:DMへの対応は行っておりません。ご了承ください。
Data Summary
- Tweets Analyzed:3,244
- Avg Likes per Tweet:80.8
- Avg Retweets per Tweet:138.5
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,244 tweets账号的平均点赞和转发量较高，显示出内容的受欢迎程度。高互动率表明粉丝对店铺活动和合作内容有浓厚兴趣。
80.8
Avg Likes/Tweet
138.5
Avg Retweets/Tweet
262,120
Total Likes
449,388
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
10
Median Likes
4
Median Retweets
107
75th Percentile
52,652
Top Tweet
2.25
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
37.8%
Original
45.2%
Replies
10.0%
Retweets
7.0%
Quotes
0.0%
Threads
0.0%
With Media
57.3%
With Links
24.2%
With #Tags
52.7%
With @Mentions
71.9%
With Emojis
84
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.19
Reply/Original Ratio
0.7
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
82.6%
Weekday Posts
17.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,244 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 324 retweets (10% 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 3,244 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 followers目标受众包括喜爱英国酒吧文化及动漫的群体，同时也吸引对独特体验和活动感兴趣的人群。
Good
Audience Quality
16.3%
Suspicion Index
13.2%
Low-Quality %
65
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
25.3%
Empty Bio
1.8%
<10 Tweets
16.8%
Mass Following (>2K)
0.0%
New (<90 days)
45.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.9%
No URL
1.1%
<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.
3,512,367
Total Potential Reach
65
Median Follower Reach
248
75th Percentile Reach
6.7%
>1K followers
0.3%
>10K followers
0.0%
>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).
94.0%
Creators
9,404 accounts
4.2%
Consumers
421 accounts
1.8%
Dormant
175 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):
26
Verified Followers
0.26% of total
492
Protected Accounts
4.92% 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 |
|---|---|---|---|
| @okumura_yuuki | 58,674 | Consultant | Dieting, Buddhism, Consulting |
| @Izumi_Yunohara | 53,935 | Influencer | cats, hot springs, allergies |
| @chiitankiss | 49,392 | - | - |
| @3obmd | 40,657 | Content Creator | 料理, ゲーム, 音楽 |
| @kanyap | 39,316 | - | - |
| @mayodarts | 38,300 | - | - |
| @4_Leaf_Clover4 | 32,711 | - | - |
| @kantoprintec | 28,059 | - | - |
| @carolcarolno03 | 21,286 | - | - |
| @harucb650r | 18,400 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,468
Followers With Bio
2,532
Followers Without Bio
74.68%
% With Bio
25.32%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,244 analyzed141,645
Combined Engagement
17,437
Total Likes
124,208
Total Retweets
28,329
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @kskgroup2017: 俺も準備できてる。 https://t.co/a8wfIx10PN
RT @kskgroup2017: 明日の朝4時に起きれないとか言ってる人いないよな？
南南東か🧭 https://t.co/p2m0tdlHxf
／ 更においしくなった🍺 新 #一番搾り が当たる！ ＼ HUBでも提供しているキリン一番搾り！ 1ケース24本を抽選で🔟名様に #プレゼント 応募方法🌸💭 ①@HUB_82 をフォロー ②4/24 23:59までにこの投稿をリツイート 当選連絡はDMに📩 新・一番搾りをぜひお楽しみください #キャンペーン #懸賞 https://t.co/aJ3bk3rN90
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Key Insights & Takeaways
账号通过与知名动漫作品的合作，成功吸引了大量关注和互动 内容以轻松活泼的语气呈现，增强了粉丝的参与感 高互动率表明粉丝对店铺活动和合作内容有浓厚兴趣
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 97,609
- + High community engagement through conversations
- + 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 @HUB_82 reveals an well-established Twitter presence with 97,609 followers. The account demonstrates a conversation-first approach, averaging 219.3 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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