Roxxxy Andrews
Hello, I'm Roxxxy Andrews! season 5 of Rupauls Drag Race and Allstars 2!!! BOOKING INFO! [email protected]
180,910
Followers
557
Following
3,398
Tweets
222.0
Avg Engagement
424
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @RoxxxyAndrews'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:2012-05-31
- Verification:No
- Location:Orlando, FL
Data Summary
- Tweets Analyzed:3,002
- Avg Likes per Tweet:145.7
- Avg Retweets per Tweet:76.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,002 tweetsHer tweets receive a high number of likes and retweets, indicating strong audience interaction. She frequently acknowledges her followers, which boosts engagement and loyalty.
145.7
Avg Likes/Tweet
76.4
Avg Retweets/Tweet
437,302
Total Likes
229,216
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
1
Median Retweets
43
75th Percentile
81,013
Top Tweet
1.23
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
30.3%
Original
31.9%
Replies
35.1%
Retweets
2.7%
Quotes
0.0%
Threads
0.7%
With Media
30.7%
With Links
16.3%
With #Tags
75.1%
With @Mentions
14.8%
With Emojis
83
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.05
Reply/Original Ratio
0.08
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.2%
Weekday Posts
25.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,002 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 1,054 retweets (35% 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 3,002 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 includes fans of drag culture and reality TV, as well as those interested in booking events with her. They are likely to be supportive and engaged with her personal and professional updates.
Average
Audience Quality
22.3%
Suspicion Index
22.4%
Low-Quality %
29
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
31.2%
Empty Bio
21.5%
<10 Tweets
8.0%
Mass Following (>2K)
0.0%
New (<90 days)
58.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.9%
No URL
13.7%
<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.
54,883,187
Total Potential Reach
29
Median Follower Reach
139
75th Percentile Reach
4.5%
>1K followers
0.7%
>10K followers
0.2%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
57.8%
Creators
28,902 accounts
20.7%
Consumers
10,330 accounts
21.5%
Dormant
10,768 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):
198
Verified Followers
0.2% of total
15,801
Protected Accounts
15.65% 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 |
|---|---|---|---|
| @JohnCena | 14,100,270 | Wrestler | Wrestling, Motivation, Self-promotion |
| @RickyPDillon | 3,350,733 | Influencer | business, email, GFuelEnergy |
| @MTVUK | 2,424,002 | Entertainment | Little Mix, HERSTORY, BRITs |
| @NikitaDragun | 2,007,751 | Influencer | beauty, fashion, LGBTQ+ |
| @Lesdoggg | 1,401,048 | Comedian | Comedy, Stand-up, Actress |
| @MTVMusicUK | 1,272,580 | Entertainment | Music, Entertainment, UK |
| @JDaIey | 1,230,296 | - | - |
| @WhatsTrending | 890,047 | News Outlet | DAILY, SOCIAL, NEWS |
| @andrewchristian | 854,982 | Fashion Designer | Fashion, Discounts, Launches |
| @ZachBoychuk | 828,834 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
69,833
Followers With Bio
31,162
Followers Without Bio
69.15%
% With Bio
30.85%
% 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 3,002 analyzed200,324
Combined Engagement
48,539
Total Likes
151,785
Total Retweets
40,065
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
20%
With Links
Topical Analysis:
RT @RidiculousDak: Me telling the worker at Subway what I want on my sandwich https://t.co/mX5sMXWpJk
RT @ddlovato: You make mistakes too
I’m roxxxy Andrews and I’m here to make it clear, it almost Christmas baby I’m ready for some cheer! 🎄🎄🎄
Rest In Peace now my beautiful sister #chichidevayne im heart broken.
You guys sure know how to make a quarantined lonely girl feel special! I love u guys congrats to the season, it’s been amazing! @WorldOfWonder @RuPaulsDragRace
Key Insights & Takeaways
She leverages her celebrity status to promote bookings and events. Her content often blends personal emotion with public celebration. She maintains a balance between professional promotion and personal connection with her audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 180,910
- + 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 @RoxxxyAndrews reveals an well-established Twitter presence with 180,910 followers. The account demonstrates a conversation-first approach, averaging 222.0 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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