Rubi Rose
💭
1,929,238
Followers
328
Following
11,276
Tweets
7,653.5
Avg Engagement
1,077
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @RubiRose'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: Mega Influencer (1M+)
- Account Age:2011-04-16
- Verification:Yes
- Location:Not specified
Data Summary
- Tweets Analyzed:3,087
- Avg Likes per Tweet:5,288.5
- Avg Retweets per Tweet:2,365.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,087 tweetsRubiRose's tweets consistently receive high engagement, with an average of 146,387 likes and 20,408 retweets per tweet. This indicates a highly interactive and loyal fan base.
5,288.5
Avg Likes/Tweet
2,365.0
Avg Retweets/Tweet
16,325,462
Total Likes
7,300,877
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
327
Median Likes
176
Median Retweets
6,358
75th Percentile
322,714
Top Tweet
3.97
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
68.8%
Original
5.3%
Replies
22.3%
Retweets
3.6%
Quotes
0.0%
Threads
0.1%
With Media
29.1%
With Links
3.2%
With #Tags
29.0%
With @Mentions
27.0%
With Emojis
57
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.08
Reply/Original Ratio
0.16
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.9%
Weekday Posts
27.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,087 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 689 retweets (22% 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 3,087 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 followersHer audience appears to be primarily young adults and teenagers who appreciate emotional and vulnerable content. They are likely looking for connection, comfort, and authenticity in her posts.
Average
Audience Quality
32.8%
Suspicion Index
52.9%
Low-Quality %
8
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
61.0%
Empty Bio
55.6%
<10 Tweets
3.1%
Mass Following (>2K)
0.0%
New (<90 days)
56.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.4%
No URL
44.7%
<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.
15,164,557
Total Potential Reach
8
Median Follower Reach
35
75th Percentile Reach
2.4%
>1K followers
0.3%
>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).
26.5%
Creators
13,229 accounts
18.0%
Consumers
8,994 accounts
55.6%
Dormant
27,777 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):
478
Verified Followers
0.47% of total
15,572
Protected Accounts
15.42% of total
3 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 |
|---|---|---|---|
| @souljaboy | 5,493,154 | Entrepreneur | Gaming, Lean, Music |
| @PicturesFoIder | 1,816,428 | Photographer | Photography, Non-aesthetic, Best page |
| @ChrisExcel102 | 1,643,248 | Influencer | Savage, AssHole, King |
| @GAFollowers | 1,641,801 | Social Media Influencer | Georgia, Tweets, Promotions |
| @LeBronJames | 1,004,094 | - | - |
| @UglyGod | 999,683 | Rapper | Music, Fashion, Entertainment |
| @iownjd | 779,093 | Lawyer | learn, inspire, engage |
| @albert12798 | 716,720 | - | - |
| @roundbooty02 | 538,069 | Fitness influencer | Booty, Fitness, Glamour |
| @BlakelyBunny | 496,277 | Adult entertainer | OnlyFans, Follow, Free |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
44,454
Followers With Bio
56,545
Followers Without Bio
44.01%
% With Bio
55.99%
% 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 3,087 analyzed1,095,584
Combined Engagement
690,435
Total Likes
405,149
Total Retweets
219,117
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
RT @icecube: They’d rather arrest hundreds of American citizens then 3 of their own. Very telling.
He waited till the end to say it lol https://t.co/8JS7kssv3m
No one hustles harder than a girl who hates asking for shit
Night night 💜 https://t.co/nlf6aokTlv
All this injera been doing my body good 🥰🇪🇷 https://t.co/7cVVYe5Aml
Key Insights & Takeaways
Her top tweets often include emotional or poetic phrases that resonate deeply with followers. She uses emojis and short, impactful phrases to enhance the emotional tone of her posts. Her content is highly relatable, suggesting a focus on personal experiences and vulnerability.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,929,238
- + 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 @RubiRose reveals an exceptionally influential Twitter presence with 1,929,238 followers. The account demonstrates a content-creator strategy, averaging 7,653.5 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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