CI:LABO美研
DR. CI:LABOの会報誌「CI:LABO美研」のアカウント。正しくきれいになるメソッドを、27歳の美容ライターを中心に編集部がお届けします💐紹介するのは、メディカルコスメならではのスキンケア法や最新メイク術、内からきれいになるレシピなど。おうちでできるきれいになれることを、習慣にしていきましょう✨
54,683
Followers
17,376
Following
32,958
Tweets
32.3
Avg Engagement
428
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @drcilabo'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:2009-09-16
- Verification:No
- Location:東京都
Data Summary
- Tweets Analyzed:3,198
- Avg Likes per Tweet:8.4
- Avg Retweets per Tweet:23.8
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,198 tweets投稿の平均いいね数は690、リツイート数は4,769で、高エンゲージメントを維持しています。キャンペーンやプレゼントを活用してユーザーの参加を促しています。
8.4
Avg Likes/Tweet
23.8
Avg Retweets/Tweet
26,886
Total Likes
76,266
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
0
Median Retweets
7
75th Percentile
15,782
Top Tweet
0.59
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
23.1%
Original
67.2%
Replies
1.7%
Retweets
8.0%
Quotes
0.0%
Threads
0.0%
With Media
33.1%
With Links
16.3%
With #Tags
72.3%
With @Mentions
52.4%
With Emojis
78
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.91
Reply/Original Ratio
4.76
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
95.0%
Weekday Posts
5.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,198 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 54 retweets (2% 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 3,198 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主に美容に興味を持つ20〜30代の女性がターゲット。スキンケアやメイク、内側からの美を求める層に注目しています。
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
55
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)
90.9%
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.
11,014,363
Total Potential Reach
55
Median Follower Reach
196
75th Percentile Reach
6.5%
>1K followers
0.7%
>10K followers
0.3%
>50K followers
0.2%
>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
639
Protected Accounts
6.39% 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 |
|---|---|---|---|
| @oricon | 1,348,326 | Entertainment | Entertainment, Music, Movies |
| @gusto_official | 919,756 | Restaurant | food, promotions, feedback |
| @yoshinoyagyudon | 796,108 | Restaurant | Food, Promotions, Customer feedback |
| @Calbee_JP | 526,753 | Food Industry | food, snacks, promotions |
| @bamiyan_CP | 429,052 | Restaurant | food, restaurant, family |
| @LINEmanga | 385,345 | Manga Publisher | - |
| @LINEjp_official | 365,149 | Communication | Messaging, Communication, App |
| @UQinfo | 302,873 | Telecommunications | - |
| @HmvBooksShibuya | 257,581 | Bookstore | Books, Music, Events |
| @HerbertRSim | 221,505 | Investor | Economics, GeoPolitics, AI |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,820
Followers With Bio
3,180
Followers Without Bio
68.2%
% With Bio
31.8%
% 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 3,198 analyzed54,786
Combined Engagement
4,700
Total Likes
50,086
Total Retweets
10,957
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @m_tondesaitama: ＼✨#翔んで埼玉おみくじ ✨／ ①フォロー ②本Tweetをリツート ③おみくじ結果があなたのタイムラインに届きます！ 1月17日まで実施中！運試ししてくださいたま☆彡🎵（※お一人様一回限り） #翔んで埼玉🌱 #信じるか信じないかはあなた次第 #茶番みくじです https://t.co/rKWtLgr71z
🎁フォロー＆RT #プレゼント🎁 @drcilaboと@CG_jpをフォロー＆これをRT アクアコラーゲンゲルアロエクール50gとクリスタルガイザー700ml 24本を抽選で5名様に！ 締切 7/8(月)15時まで‼️ #特濃アロエゲルでみずみずしい肌へ #コラボプレゼント #懸賞 #キャンペーン https://t.co/rjYeGOKZYB
先週東京でも乾燥注意報が発表されたのでうるおいコンビ参上✨ 【フォロー＆RT #プレゼント】 @drcilaboと@CG_jpをフォロー＆これをRT 薬用シーウォーターEX50g1本とクリスタルガイザー700ml 24本を抽選で5名様に！ ⏰締切 12/24 #肌あれ乾燥にミスト化粧水 #コラボプレゼント #懸賞 #キャンペーン https://t.co/pUg8tiPlqg
#発酵企業さんと繋がりたい に始まったTwitter活動楽しかったなぁ（´υ｀） これまでの感謝と今年もよろしくの気持ちを込めて2018年の思い出を福袋にして1名さまに🎁 賞品詳細はおいおいスレッドをチェック！ ✅応募方法 @drcilaboをフォロー＆この投稿をRT ⏰1/17（月）23:59締切 #シーラボ福袋 https://t.co/kk9elYuaMO
🎄クリスマス🎁第1弾🎄 #発酵企業さんと繋がりたい を応援してくださったフォロワーのみなさんに感謝の気持ちを込めて💕 アクアコラーゲンゲル20周年にちなみアクアコラーゲンゲル エンリッチリフトEX20gを20名様にプレゼント！ ✅応募方法 @drcilaboをフォロー＆この投稿をRT！ 12月25日23:59締切 https://t.co/5J76kviT9f
Key Insights & Takeaways
キャンペーンやプレゼントを頻繁に展開し、ユーザー参加を促進しています。 投稿内容は美容やスキンケア、メイクに関する情報が中心で、読者に実用的な知識を提供しています。 フォロワーとの関係性を重視し、フォローとリツイートを促す投稿が多いため、エンゲージメントが高くなっています。
Strengths
- + Established follower base of 54,683
- + 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 @drcilabo reveals an growing Twitter presence with 54,683 followers. The account demonstrates a conversation-first approach, averaging 32.3 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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