楽天コレクション
#楽天コレクション 公式Xアカウントです。最新情報やキャンペーン情報を発信していきます。#楽コレ ※お問い合わせはコチラ→https://t.co/5Px05QFmvK
139,188
Followers
386
Following
5,153
Tweets
1,849.0
Avg Engagement
228
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Rcollection_PR'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:2015-06-12
- Verification:Yes
- Location:二子玉川
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:965.7
- Avg Retweets per Tweet:883.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 500 tweetsThe account has high average likes and retweets, indicating strong audience interaction. The content is engaging and often includes visual elements like collabs and illustrations.
965.7
Avg Likes/Tweet
883.3
Avg Retweets/Tweet
482,847
Total Likes
441,663
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
49
Median Likes
171
Median Retweets
1,254
75th Percentile
45,819
Top Tweet
13.28
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
56.2%
Original
3.4%
Replies
39.4%
Retweets
1.0%
Quotes
0.0%
Threads
0.0%
With Media
72.8%
With Links
79.6%
With #Tags
51.2%
With @Mentions
66.8%
With Emojis
145
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.06
Reply/Original Ratio
0.03
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
92.4%
Weekday Posts
7.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 500 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 197 retweets (39% 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 500 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 50,000 followersThe audience is primarily interested in sports and anime collaborations. They are likely fans of the partnered teams and artists.
Good
Audience Quality
13.6%
Suspicion Index
8.3%
Low-Quality %
34
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
15.4%
Empty Bio
3.3%
<10 Tweets
8.6%
Mass Following (>2K)
0.0%
New (<90 days)
46.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.4%
No URL
1.2%
<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.
11,345,175
Total Potential Reach
34
Median Follower Reach
141
75th Percentile Reach
3.0%
>1K followers
0.1%
>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).
85.9%
Creators
42,930 accounts
10.9%
Consumers
5,428 accounts
3.3%
Dormant
1,642 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):
128
Verified Followers
0.13% of total
9,025
Protected Accounts
9.03% 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 |
|---|---|---|---|
| @Lize_Helesta | 634,400 | Virtual YouTuber | Gaming, Virtual YouTuber, Second Princess |
| @honmahimawari | 595,598 | Vtuber | Osaka, Food, Cats |
| @sukosuko_sukoya | 541,800 | Singer | singing, gaming, acting |
| @bnam_jp | 497,701 | Entertainment | games, entertainment, updates |
| @maimoto_k | 436,601 | Virtual Streamer | Gaming, Sports, Radio |
| @AibaUiha | 386,936 | Idol | idol, fan, livestreams |
| @_o_j_i_3_ | 234,293 | Manga Artist | Adult content, Comic adaptation, Art commissions |
| @Rakuten_Mobile | 172,032 | Telecommunications | mobile services, campaigns, events |
| @mielelatte | 135,964 | Mangaka | manga, illustration, character design |
| @tamak0 | 133,645 | Illustrator | Vocaloid, Proseka, Illustration |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
85,721
Followers With Bio
14,279
Followers Without Bio
85.72%
% With Bio
14.28%
% 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 500 analyzed156,045
Combined Engagement
109,048
Total Likes
46,997
Total Retweets
31,209
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
/ #にじセリーグコラボ🌈🕒⚾️ 描き下ろし第一弾公開 \ ⚾️読売ジャイアンツ リゼ・ヘルエスタ(@Lize_Helesta)、イブラヒム(@honmono_ibrahim) ⚾️東京ヤクルトスワローズ アルス・アルマル(@ars_almal)、剣持刀也(@rei_Toya_rei) 続報をお楽しみに! https://t.co/BrhYYXaAPS @nijisanji_app https://t.co/Qh1UK9h6QV
/ #にじセリーグコラボ🌈🕒⚾️ 描き下ろし第二弾公開 \ ⚾️横浜DeNAベイスターズ 西園チグサ(@Chigusa_24zono)、社築(@846kizuQ) ⚾️中日ドラゴンズ 相羽ういは(@AibaUiha)、レオス・ヴィンセント(@Leos_Vincent) 続報をお楽しみに! ▼特設サイト https://t.co/BrhYYXaAPS @nijisanji_app https://t.co/PDfkqRZa4Y
/ #にじJ1クラブコラボ 🌈🕒⚽️ 『2022 J1全18クラブ』×『にじさんじ』 📣特設サイト&新規描き下ろし公開✨ たくさんの熱いご声援ありがとうございます! \ ▼特設サイト https://t.co/kxoEClwTng @nijisanji_app @J_League 一丸となってさらに盛り上げていきましょう!👏 #Jリーグ #にじさんじ https://t.co/lFltuhaohn
/ #にじJ1クラブコラボ 🌈🕒⚽️RTキャンペーン \ 抽選で5名様に『D賞缶バッジセット』をプレゼント! 1⃣このアカウントをフォロー 2⃣この投稿をRT 3⃣当選者にはDM送付 ⬇️👦【Aパターン】 https://t.co/PsVafnDrpL @nijisanji_app @J_League #Jリーグ #にじさんじ #楽コレ https://t.co/B0wCnpG3xw
/ #にじJ1クラブコラボ 🌈🕒⚽️ 『2023 J1全18クラブ』×『にじさんじ』 📣新規描き下ろし&特別企画の詳細公開✨オンラインくじも商品公開👏 \ ▼特設サイトはこちら🎉 https://t.co/oJnSKnER2m @nijisanji_app @J_League #Jリーグ #にじさんじ https://t.co/BsyQ6oPclv
Key Insights & Takeaways
The account focuses heavily on collaborations with sports teams and anime artists. It uses visually appealing content to attract and retain followers. Regular updates and promotions are key to maintaining engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 139,188
- + 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 @Rcollection_PR reveals an exceptionally influential Twitter presence with 139,188 followers. The account demonstrates a content-creator strategy, averaging 1,849.0 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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