楽天リワード
「楽天リワード」公式アカウント！ポイント獲得できる新着アプリや、ポイントキャンペーン情報などをお届けします！
21,716
Followers
58
Following
603
Tweets
163.8
Avg Engagement
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @rakuten_reward'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:2016-09-14
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:11.3
- Avg Retweets per Tweet:152.5
- Followers Analyzed:22,306
Engagement Analysis
Based on 500 tweetsThe account has a high average retweet rate, indicating strong user interaction. Campaigns are designed to encourage both following and retweeting for participation.
11.3
Avg Likes/Tweet
152.5
Avg Retweets/Tweet
5,668
Total Likes
76,227
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
11
75th Percentile
22,439
Top Tweet
7.54
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
83.4%
Original
3.2%
Replies
10.0%
Retweets
3.4%
Quotes
0.0%
Threads
0.0%
With Media
90.8%
With Links
22.2%
With #Tags
12.2%
With @Mentions
17.6%
With Emojis
155
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.04
Reply/Original Ratio
0.34
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
80.2%
Weekday Posts
19.8%
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 50 retweets (10% 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 22,306 followersThe primary audience is likely Rakuten Rewards users interested in earning points and engaging with promotional content. They are likely tech-savvy and active on social media.
Average
Audience Quality
23.7%
Suspicion Index
23.7%
Low-Quality %
29
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.5%
Empty Bio
5.6%
<10 Tweets
23.0%
Mass Following (>2K)
0.0%
New (<90 days)
58.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.7%
No URL
3.0%
<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.
8,354,298
Total Potential Reach
29
Median Follower Reach
142
75th Percentile Reach
6.1%
>1K followers
0.4%
>10K followers
0.1%
>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).
83.5%
Creators
18,623 accounts
10.9%
Consumers
2,431 accounts
5.6%
Dormant
1,252 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):
51
Verified Followers
0.23% of total
1,881
Protected Accounts
8.43% 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 |
|---|---|---|---|
| @RakutenTravelJP | 508,125 | Travel | Travel, Accommodation, Campaigns |
| @gannsun | 316,182 | Career Counselor | Real Estate, Manga/Anime, Cars |
| @Rakuten_Mobile | 172,033 | Telecommunications | mobile services, campaigns, events |
| @rakutentv_japan | 148,715 | Streaming Service | Movies, Live, Drama |
| @jripper00 | 98,990 | Fitness influencer | Diet, Camp, BBQ |
| @MiLu_mizui_ay | 95,278 | Pet Influencer | Travel, Cosmetics, Food |
| @tsuxi_npo | 90,730 | Non-profit organization | Safety, Security, Community |
| @Rakuten_Kobo | 88,743 | eBook Store | Books, E-readers, Deals |
| @hpglty | 66,278 | Musician | music, nature, peace |
| @point_town | 64,876 | Marketing | ポイ活, ポイントアップ情報, 限定情報 |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
12,379
Followers With Bio
9,927
Followers Without Bio
55.5%
% With Bio
44.5%
% 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 analyzed64,838
Combined Engagement
2,502
Total Likes
62,336
Total Retweets
12,968
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
【フォロー＆RTキャンペーン】 楽天ポイント300ポイントを最大1000名様にプレゼント！ 8/21 23:59迄 ▼応募方法 ①@rakuten_reward をフォロー ②このツイートをRT #楽天リワード #楽天経済圏 #ポイ活 https://t.co/J1szfdPRT8 山分けキャンペーンも同時開催中！ https://t.co/3QvlptDlCE https://t.co/kvDtnsqU3N
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Key Insights & Takeaways
The account heavily relies on user-generated content for engagement through campaigns. Promotional content is often tied to specific deadlines to create urgency. Campaigns are designed to increase both followers and retweets simultaneously.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 21,716
- + 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_reward reveals an well-established Twitter presence with 21,716 followers. The account demonstrates a content-creator strategy, averaging 163.8 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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