西武渋谷店
『Art meets Life』とは「暮らしに、もっとクリエーティブを。」をテーマに「全館アートプロジェクト」を始動した西武渋谷店のコンセプト。▽営業時間はこちら https://www.sogo-seibu.jp/shibuya/topics/rinjikyugyo2004 ▽アカウントポリシーはこちら https://www.sogo-seibu.jp/about-twitter
119,726
Followers
1,831
Following
9,755
Tweets
331.8
Avg Engagement
357
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Art_meets_Life'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:2011-06-09
- Verification:Yes
- Location:東京都渋谷区
Data Summary
- Tweets Analyzed:3,212
- Avg Likes per Tweet:61.3
- Avg Retweets per Tweet:270.5
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,212 tweets账号平均获得5,021次点赞和17,741次转发，显示出较高的用户互动率。通过设置明确的参与条件（如关注和转发）来提升活动的参与度。
61.3
Avg Likes/Tweet
270.5
Avg Retweets/Tweet
196,792
Total Likes
868,952
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
8
Median Likes
2
Median Retweets
18
75th Percentile
29,803
Top Tweet
2.77
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
55.0%
Original
35.4%
Replies
6.4%
Retweets
3.1%
Quotes
0.0%
Threads
0.0%
With Media
93.4%
With Links
71.6%
With #Tags
9.9%
With @Mentions
88.5%
With Emojis
177
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.64
Reply/Original Ratio
0.48
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
80.0%
Weekday Posts
20.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,212 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 207 retweets (6% 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 3,212 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目标受众主要是对艺术和创意生活感兴趣的消费者，以及关注西武渋谷店活动的本地居民。用户群体偏向年轻女性，对节日促销和抽奖活动有较高参与度。
Average
Audience Quality
21.3%
Suspicion Index
17.1%
Low-Quality %
65
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
32.7%
Empty Bio
2.2%
<10 Tweets
23.5%
Mass Following (>2K)
0.0%
New (<90 days)
57.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.2%
No URL
1.5%
<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.
4,671,201
Total Potential Reach
65
Median Follower Reach
268
75th Percentile Reach
9.9%
>1K followers
0.5%
>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).
95.2%
Creators
9,523 accounts
2.6%
Consumers
260 accounts
2.2%
Dormant
217 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):
23
Verified Followers
0.23% of total
174
Protected Accounts
1.74% of total
4 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 |
|---|---|---|---|
| @seibu_ike | 170,693 | Retail | shopping, department store, promotions |
| @lkQDSNT1BhrOCHd | 117,460 | - | - |
| @supersaiyan_333 | 44,935 | Artist | Drawing, Singing, Sunshine |
| @JTPJAMW1 | 38,832 | - | - |
| @cospa_inc | 38,303 | - | - |
| @tototomore | 36,936 | - | - |
| @zfdk97zkwgg91 | 36,771 | - | - |
| @aochin_1 | 35,375 | - | - |
| @investor0321 | 34,101 | - | - |
| @4_Leaf_Clover4 | 32,179 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,731
Followers With Bio
3,269
Followers Without Bio
67.31%
% With Bio
32.69%
% 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 3,212 analyzed129,423
Combined Engagement
23,196
Total Likes
106,227
Total Retweets
25,885
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
100%
With @Mentions
0%
With Links
Topical Analysis:
／ ＜第1弾＞ 人気の #バレンタイン チョコを 抽選で合計10名さまに #プレゼント🎁 ＼ ビジュ買いが止まらない😍 #シブヤチョコレートパラダイス 2023は 2月1日(水)から🍫💝 ✅@Art_meets_Life をフォロー ✅この投稿を1/30までにRT #ミッシェルブラン #セバスチャンブイエ #プレゼントキャンペーン
／ 🎍西武渋谷店からのお年玉🐇 ＼ #バルミューダ @balmuda #ザ・トースター を 抽選で2名さまに #プレゼント🎁 ✅@Art_meets_Lifeをフォロー ✅この投稿を2023/1/9までにRT #プレゼント企画 #キャンペーン #お年玉
日頃の感謝を込めて💕 美味しいお菓子で #母の日 をお祝い💐 ／ ＜第1弾＞ #ヨックモック の 焼菓子アソート 「#カドードゥプランタン」を 抽選で5名さまに #プレゼント🎁 ＼ ✅ @Art_meets_Life をフォロー ✅この投稿を5/1 23:59までにRT #キャンペーン #プレゼント企画 #スイーツ #母の日ギフト
／ ＜第2弾＞ 人気の #バレンタイン チョコを 抽選で合計10名さまに #プレゼント🎁 ＼ #シブヤチョコレートパラダイス 2023開催中🍫💕 あなたの推しチョコは？！ ホームページから選んでコメントで教えてね😻 ✅@Art_meets_Life をフォロー ✅この投稿を2/14までにRT #プレゼント企画 #キャンペーン
RT @Art_meets_Life: ／ ＜第1弾＞ 人気の #バレンタイン チョコを 抽選で合計10名さまに #プレゼント🎁 ＼ ビジュ買いが止まらない😍 #シブヤチョコレートパラダイス 2023は 2月1日(水)から🍫💝 ✅@Art_meets_Life をフォロー ✅この投稿を1/30までにRT #ミッシェルブラン #セバスチャンブイエ #プレゼントキャンペーン
Key Insights & Takeaways
账号通过节日和季节性活动（如情人节、母亲节、新年）吸引用户参与 抽奖活动是主要的用户互动方式，且设置明确的截止日期以提高参与率 内容围绕品牌合作和产品推广，强化与消费者的联系
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 119,726
- + 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 @Art_meets_Life reveals an well-established Twitter presence with 119,726 followers. The account demonstrates a content-creator strategy, averaging 331.8 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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