Veronica Green
Lancashire lass in london. DRUK Queen. T.V Actor & Professional Triple Threat. For bookings contact Simon at: [email protected]
59,115
Followers
1,760
Following
2,937
Tweets
187.2
Avg Engagement
213
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @veronicaqween'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:2015-05-27
- Verification:No
- Location:London, England
Data Summary
- Tweets Analyzed:2,922
- Avg Likes per Tweet:112.9
- Avg Retweets per Tweet:74.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 2,922 tweetsVeronicaqween's tweets receive an average of 6,823 likes and 130 retweets, indicating strong audience interaction. Her content is well-received and often shared within her community.
112.9
Avg Likes/Tweet
74.3
Avg Retweets/Tweet
329,849
Total Likes
217,099
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
0
Median Retweets
36
75th Percentile
195,024
Top Tweet
3.17
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
17.3%
Original
59.3%
Replies
12.3%
Retweets
11.1%
Quotes
0.0%
Threads
1.4%
With Media
29.9%
With Links
11.5%
With #Tags
85.0%
With @Mentions
67.3%
With Emojis
122
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.42
Reply/Original Ratio
0.9
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.3%
Weekday Posts
28.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,922 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 360 retweets (12% 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 2,922 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 10,000 followersHer audience includes fans of drag racing, TV actors, and entertainment enthusiasts. They are likely interested in her career, personal updates, and industry collaborations.
Average
Audience Quality
23.0%
Suspicion Index
23.3%
Low-Quality %
37
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
31.7%
Empty Bio
22.5%
<10 Tweets
11.1%
Mass Following (>2K)
0.0%
New (<90 days)
56.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.7%
No URL
15.0%
<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.
10,895,857
Total Potential Reach
37
Median Follower Reach
167
75th Percentile Reach
5.7%
>1K followers
1.2%
>10K followers
0.4%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
56.6%
Creators
5,658 accounts
20.9%
Consumers
2,092 accounts
22.5%
Dormant
2,250 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):
35
Verified Followers
0.35% of total
1,375
Protected Accounts
13.75% 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 |
|---|---|---|---|
| @BruceVH | 589,606 | Life Coach | Podcast, Speaker, Optimist |
| @Brock_Banks_ | 462,412 | Adult entertainer | Travel, Shorty, NSFW |
| @eliistender10 | 407,286 | Author | Books, Podcasting, Music |
| @SophieASlut | 352,857 | Adult entertainer | Sexuality, Empowerment, Confidence |
| @StephenCaggiano | 342,066 | Content Creator | Content creation, Access, Resource for creators |
| @AmericanGayBoys | 297,429 | Adult Entertainment | Gayporn, Twinks, Hunks |
| @CraigRevHorwood | 287,976 | Entertainer | Dancing, TV, Drag Queen |
| @HeidiNCloset | 256,334 | Drag Queen | RuPaul's Drag Race, Miss Congeniality, Fashion |
| @YayaHan | 250,759 | Cosplayer | Cosplay, Design, Fabric |
| @Euroboys | 190,436 | Adult Entertainment | Twinks, Men, Amateur porn |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,828
Followers With Bio
3,172
Followers Without Bio
68.28%
% With Bio
31.72%
% 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 2,922 analyzed229,190
Combined Engagement
33,501
Total Likes
195,689
Total Retweets
45,838
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
RT @twooxeproject: If this gets 250,000 retweets, @katyperry will be with me during my chemotherapy. Please help, it's my dream! :) http://t.co/U5sZitZ6pP
I want to publicly thank @nicolacoughlan for the most genuine, heartfelt letter she left me after my elimination. At the time I didn’t want to talk to anyone, but reading your note really emotionally helped me that night. I still have it at home and re-read it from time to time.
A message to you all 💚💚💚 https://t.co/UtcNiUN8su
“You’re a winner baby!!!!!” 🤖 ...and there’s a lot more to come @dragraceukbbc @WorldOfWonder @RuPaul @bbcthree @BBCiPlayer @BBCOne https://t.co/lf1BWH2mdO
To save repeating, I’ll address something about the group number. The theme was red & pink. I knew everyone would do bold red & pink looks, so I put the tiniest red rhinestones on the lightest blush appliqués I could find. Did I stand out on the runway? ABSO-FUCKING-LUTEL
Key Insights & Takeaways
She frequently acknowledges supporters and collaborators, showing appreciation for her fanbase. Her content often includes links to her professional work and industry partners. She uses emojis and expressive language to connect emotionally with her audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 59,115
- + 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 @veronicaqween reveals an well-established Twitter presence with 59,115 followers. The account demonstrates a conversation-first approach, averaging 187.2 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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