Virgin Trains Ticketing
A more rewarding way to book your train travel from @Virgin Book any ticket. Earn Virgin Points. Get spending. Get on board.
417,640
Followers
6,405
Following
1,109,777
Tweets
7.7
Avg Engagement
1,328
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @VirginTrainsTix'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:2009-08-07
- Verification:No
- Location:VTT Twitter Towers
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:7.0
- Avg Retweets per Tweet:0.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account has an average of 1,948 likes and 185 retweets per tweet, indicating moderate to high engagement. The use of humor and emotional content helps drive interaction.
7.0
Avg Likes/Tweet
0.7
Avg Retweets/Tweet
22,907
Total Likes
2,183
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
1
75th Percentile
9,780
Top Tweet
0.02
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
4.6%
Original
95.1%
Replies
0.1%
Retweets
0.1%
Quotes
0.0%
Threads
0.5%
With Media
13.3%
With Links
0.5%
With #Tags
96.2%
With @Mentions
21.7%
With Emojis
95
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
20.48
Reply/Original Ratio
0.75
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
58.0%
Weekday Posts
42.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 4 retweets (0% 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 3,250 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 primary audience is likely travelers interested in train travel and rewards. They are likely looking for convenient booking options and loyalty incentives.
Average
Audience Quality
23.2%
Suspicion Index
32.7%
Low-Quality %
47
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
47.1%
Empty Bio
26.7%
<10 Tweets
11.2%
Mass Following (>2K)
0.0%
New (<90 days)
41.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.8%
No URL
18.2%
<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.
50,623,790
Total Potential Reach
47
Median Follower Reach
216
75th Percentile Reach
6.7%
>1K followers
0.8%
>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).
54.6%
Creators
27,311 accounts
18.6%
Consumers
9,318 accounts
26.7%
Dormant
13,371 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):
690
Verified Followers
0.69% of total
11,994
Protected Accounts
11.99% of total
9 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 | 14,104,282 | Wrestler | Wrestling, Motivation, Self-promotion |
| @GNev2 | 5,502,525 | Sports Commentator | Football, Analysis, Motivation |
| @TomDaley1994 | 2,251,891 | Diver | Diving, Goals, Humor |
| @6BillionPeople | 2,036,007 | - | - |
| @zlj517 | 1,993,640 | Spokesman | Geopolitics, Diplomacy, Communication |
| @British_Airways | 1,444,300 | Airline | Travel, Customer Service, Aviation |
| @JDaIey | 1,228,682 | Owner | Esports, Gaming, Sponsorship |
| @petercrouch | 1,080,628 | Footballer | Football, Podcasts, Banter |
| @campbellclaret | 1,008,627 | Writer | Writing, Communication, Mental Health |
| @SarahBrownUK | 989,049 | Advocate | Education, Global Crisis, Podcast |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
49,051
Followers With Bio
50,949
Followers Without Bio
49.05%
% With Bio
50.95%
% 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 3,250 analyzed20,237
Combined Engagement
18,488
Total Likes
1,749
Total Retweets
4,047
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
20%
With Links
Topical Analysis:
Thank you for travelling with Virgin Trains ❤
When leaving the train, please mind the gaping hole I’ll leave in your life https://t.co/eaIb7UZN1r
We’re not crying. You’re crying.
Currently collecting all of our personal belongings
Last time we’ll find a cello abandoned on one of our trains. Probably.
Key Insights & Takeaways
The account uses emotional and relatable content to build brand loyalty Humor and personal anecdotes are effective in increasing engagement Promotion of rewards and booking services is central to the account's strategy
Strengths
- + Established follower base of 417,640
- + 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 @VirginTrainsTix reveals an growing Twitter presence with 417,640 followers. The account demonstrates a conversation-first approach, averaging 7.7 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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