楽天FX
楽天証券FX公式Twitterアカウントです。FXに関するニュースは、為替情報サービスである「FXi24」からの情報を自動配信しています。当社アカウントでは個別の返信を行っておりませんので、ご了承ください。投資にかかわる手数料等・リスクはウェブをご覧ください。https://www.rakuten-sec.co.jp/web/company/risk.html?scid=su_14085
80,302
Followers
2
Following
361,857
Tweets
1.8
Avg Engagement
2,223
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @rakuten_fx'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:2010-05-26
- Verification:No
- Location:東京都港区南青山2-6-21 楽天クリムゾンハウス青山
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:1.0
- Avg Retweets per Tweet:0.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 500 tweetsThe account has low engagement per tweet, with an average of 10 likes and 8 retweets. This suggests a focus on informative content rather than interactive engagement.
1.0
Avg Likes/Tweet
0.8
Avg Retweets/Tweet
510
Total Likes
389
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
1
Median Retweets
2
75th Percentile
38
Top Tweet
0.02
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
100.0%
Original
0.0%
Replies
0.0%
Retweets
0.0%
Quotes
0.0%
Threads
0.0%
With Media
0.6%
With Links
100.0%
With #Tags
0.0%
With @Mentions
0.0%
With Emojis
33
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.0
Reply/Original Ratio
0
Quote/RT Ratio
Posting Rhythm
Consistent
Regular posting cadence
100.0%
Weekday Posts
0.0%
Weekend Posts
Top Hashtags
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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.
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 likely investors and traders interested in FX and financial news. They are likely looking for real-time updates and insights into market-moving events.
Average
Audience Quality
20.2%
Suspicion Index
23.2%
Low-Quality %
40
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
34.7%
Empty Bio
17.6%
<10 Tweets
15.1%
Mass Following (>2K)
0.0%
New (<90 days)
41.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.5%
No URL
11.8%
<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.
15,601,084
Total Potential Reach
40
Median Follower Reach
148
75th Percentile Reach
5.2%
>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).
66.9%
Creators
33,448 accounts
15.5%
Consumers
7,748 accounts
17.6%
Dormant
8,804 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):
224
Verified Followers
0.28% of total
11,070
Protected Accounts
13.62% 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 |
|---|---|---|---|
| @hootsuite | 7,326,218 | Social Media Manager | Social media, news, tips |
| @BeatsByAssassin | 2,266,206 | Multitalented | Actor, Director, Rapper |
| @djkingassassin | 474,673 | DJ | Music, Club, Producer |
| @hitsuzikai | 214,706 | Forex Trader | FX, ブログ, 本 |
| @kazu_fujisawa | 201,505 | Author | Investing, Economics, Writing |
| @noatake1127 | 191,695 | Investor | stocks, radio, newsletter |
| @yocchan60 | 191,118 | Cryptocurrency Investor | NEM, Solana, Cryptocurrency |
| @michan39 | 187,839 | Singer | Music, Photography, Tennis |
| @nicosokufx | 179,345 | Trader | Stocks, FX, Cryptocurrency |
| @xRINGx | 179,154 | Investor | Investing, Trading, News |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
50,746
Followers With Bio
30,547
Followers Without Bio
62.42%
% With Bio
37.58%
% 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 analyzed109
Combined Engagement
60
Total Likes
49
Total Retweets
22
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
0%
With @Mentions
0%
With Links
Topical Analysis:
【要人発言】日銀総裁「現行のYCC継続が適当」 #fx
【要人発言】財務相「政府・日銀とも共同声明を見直す考えない認識と理解」 #fx
【要人発言】日銀総裁「マイナス金利政策、継続するのが適当」 #fx
【要人発言】日銀総裁「現状、日本では金利を大幅に上げる状況ではない」 #fx
【要人発言】内田日銀副総裁「いかに工夫をこらして金融緩和を継続するかが課題」 #fx
Key Insights & Takeaways
The account frequently shares updates on central bank statements and monetary policy decisions. It emphasizes the importance of following official sources for investment-related risks and fees. It uses hashtags like #fx to categorize and increase visibility of its content.
Strengths
- + Established follower base of 80,302
- + 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 @rakuten_fx reveals an growing Twitter presence with 80,302 followers. The account demonstrates a content-creator strategy, averaging 1.8 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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