Tabio 靴下屋
靴下屋/Tabio/Tabio MENなどのブランドを運営するTabioの公式アカウント。複数名で運用いたしております。（not広報） 靴下に関係のない事も呟きますのでご注意ください。 お問い合せhttps://tabio.com/jp/contact/#ec
81,360
Followers
3,847
Following
53,855
Tweets
183.7
Avg Engagement
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Tabio_JP'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:2009-12-10
- Verification:Yes
- Location:Osaka , Japan
Data Summary
- Tweets Analyzed:3,229
- Avg Likes per Tweet:59.8
- Avg Retweets per Tweet:123.9
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,229 tweets推文互動率較高，顯示粉絲對品牌內容有較強的參與意願。高平均喜歡與轉推數表明內容具有一定的吸引力與討論價值。
59.8
Avg Likes/Tweet
123.9
Avg Retweets/Tweet
192,992
Total Likes
400,171
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
12
Median Likes
4
Median Retweets
55
75th Percentile
88,319
Top Tweet
2.26
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
34.7%
Original
15.5%
Replies
35.6%
Retweets
14.2%
Quotes
0.0%
Threads
0.0%
With Media
84.6%
With Links
13.6%
With #Tags
42.5%
With @Mentions
25.7%
With Emojis
119
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.45
Reply/Original Ratio
0.4
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
94.9%
Weekday Posts
5.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,229 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 1,150 retweets (36% 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 3,229 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主要觀眾為對襪子或時尚感興趣的群體，也包括對品牌理念有共鳴的消費者。追蹤者可能包含零售業者、時尚愛好者及對社會議題有興趣的用戶。
Average
Audience Quality
23.2%
Suspicion Index
14.4%
Low-Quality %
67
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
25.4%
Empty Bio
5.2%
<10 Tweets
33.0%
Mass Following (>2K)
0.0%
New (<90 days)
55.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.3%
No URL
3.4%
<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.
5,582,180
Total Potential Reach
67
Median Follower Reach
224
75th Percentile Reach
8.1%
>1K followers
0.8%
>10K followers
0.1%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
88.3%
Creators
8,831 accounts
6.5%
Consumers
651 accounts
5.2%
Dormant
518 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):
33
Verified Followers
0.33% of total
1,467
Protected Accounts
14.67% 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 |
|---|---|---|---|
| @StanSmith_jp | 172,029 | Game Caster | Gaming, Esports, MC |
| @colombin_tweet | 138,339 | Pastry Chef | sweets, French, collaboration |
| @se27nico25 | 131,184 | Aspiring Writer | Fantasia, MF, Anime |
| @VALORANT4JP | 127,736 | Gaming News | VALORANT, News, Information |
| @OwltechPR | 121,994 | Tech Company | PC Parts, Smartphone Accessories, Movies |
| @cemedinecoltd | 80,481 | Manufacturer | adhesives, manufacturer, consultation |
| @euglena_jp | 77,793 | - | - |
| @na2k1tty0219 | 70,881 | Influencer | お菓子, クレーンゲーム, フォロー推薦 |
| @doshisha_marche | 64,397 | E-commerce | kitchenware, appliances, outdoor gear |
| @okura_yp | 62,205 | Mangaka | manga, gaming, LGBTQ+ |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,458
Followers With Bio
2,542
Followers Without Bio
74.58%
% With Bio
25.42%
% 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 3,229 analyzed257,678
Combined Engagement
29,708
Total Likes
227,970
Total Retweets
51,536
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @TorukoInNihon: 日本円で義援金を送ることを希望される場合には、駐日トルコ共和国大使館ならびに在名古屋トルコ共和国総領事館の下記口座にご送金いただけます。大使館又は総領事館に集められた義援金は災害緊急事態対策庁（AFAD）に届けられます。 https://t.co/aJbgkeX2qm
RT @WBCBaseball: Undefeated Team Japan secures its 3rd #WorldBaseballClassic title! https://t.co/ehM62luyw9
ストッキングは、マジで社会に強制されるルールとしては時代にそぐわないって思うんですけど、ファンデとしてめっちゃ優秀なんで、そちらの方をもっと広めたいと個人的に思ってます。 だって、嫌々履くものを売りたくないですもの・・・。 履いてテンション上がって欲しい。 １号
RT @MPD_bousai: 私は家族で遊園地などに出かける時、子供の写真を撮ってから出かけています。迷子になってしまった時に当日の服装などをすぐに思い出せるからです。兄弟でお揃いの服だとなおわかりやすくなります。災害発生時などは、特にお子さんから目を離さず、避難する前には写真を一枚撮っておくと安心です。 https://t.co/w8XBK7p14d
RT @arakencloud: 何度でも言いますが、雲は地震の前兆にはなりません。巷で「地震雲」と呼ばれることの多い雲は全て気象学で説明できる子たちで、雲の見た目から地震の影響等を判断するのは不可能です。地震が不安なら日頃からの備えを確認しましょう。雲は愛でましょう。https://t.co/7zvUlnKGe1 https://t.co/FWbN164pH1
Key Insights & Takeaways
帳號強調襪子作為化妝品的潛力，而非僅作為服裝規則。 內容包含個人觀點與品牌理念，而非純粹宣傳。 帳號由多個人管理，並非官方廣報，內容較為隨性。
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 81,360
- + 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 @Tabio_JP reveals an well-established Twitter presence with 81,360 followers. The account demonstrates a content-creator strategy, averaging 183.7 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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