National Rail
24/7 support across the National Rail network. Real time updates and advice on services provided. All DMs deleted after 30 days of conversation ending.
1,054,952
Followers
366
Following
753,079
Tweets
1.2
Avg Engagement
2,830
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @nationalrailenq'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:2009-04-20
- Verification:No
- Location:Great Britain
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:0.9
- Avg Retweets per Tweet:0.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account averages 38 likes and 4 retweets per tweet, indicating moderate engagement. The use of interactive questions and polls helps drive user participation.
0.9
Avg Likes/Tweet
0.2
Avg Retweets/Tweet
3,038
Total Likes
777
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
2
75th Percentile
106
Top Tweet
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
16.8%
Original
82.6%
Replies
0.6%
Retweets
0.0%
Quotes
0.0%
Threads
0.5%
With Media
27.5%
With Links
66.2%
With #Tags
31.8%
With @Mentions
40.4%
With Emojis
140
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
4.92
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Consistent
Regular posting cadence
77.7%
Weekday Posts
22.3%
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 20 retweets (1% 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 UK rail passengers seeking real-time updates and travel advice. The content is tailored to be engaging and relatable for a broad demographic.
Average
Audience Quality
26.6%
Suspicion Index
37.3%
Low-Quality %
20
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
49.2%
Empty Bio
34.6%
<10 Tweets
8.4%
Mass Following (>2K)
0.0%
New (<90 days)
51.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.1%
No URL
25.3%
<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.
39,988,340
Total Potential Reach
20
Median Follower Reach
131
75th Percentile Reach
4.8%
>1K followers
0.5%
>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).
45.5%
Creators
22,729 accounts
19.9%
Consumers
9,953 accounts
34.6%
Dormant
17,318 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):
584
Verified Followers
0.58% of total
12,610
Protected Accounts
12.61% 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 | 14,105,434 | Wrestler | Wrestling, Motivation, Self-promotion |
| @MayorofLondon | 3,217,511 | Politician | Politics, Family, London |
| @saatchi_gallery | 1,853,111 | Art Gallery | contemporary art, culture, London grads |
| @RexChapman | 1,255,151 | Commentator | Basketball, Horse racing, Commentary |
| @xBrooklynBluex | 929,886 | Pornstar | Porn, TV, XFactor |
| @DarrenBent | 541,843 | - | - |
| @pritipatel | 457,629 | Politician | Politics, Government, Law |
| @ZimEye | 417,804 | Journalist | Zimbabwe, Africa, Journalism |
| @MartinKelly1990 | 377,753 | Footballer | Football, Crystal Palace, Nike |
| @Snduhukire | 368,135 | Public Relations | Healthcare, Procurement, Distribution |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
49,096
Followers With Bio
50,904
Followers Without Bio
49.1%
% With Bio
50.9%
% 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 analyzed324
Combined Engagement
314
Total Likes
10
Total Retweets
65
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Can you guess this station? 🤔 Comment your guesses below 👇 https://t.co/MQ3aLKNKJx
What's your favourite view to see out of your train window? 👇 https://t.co/vEvbFdMaOx
This town's name is also a popular sport 🤔 https://t.co/OWFipXRrL8
Guess the station! This town is where BBC's Happy Valley is set ❓ https://t.co/eVGks1y3Lf
Can you guess the name of this station belonging to a cathedral city? 👇 https://t.co/BFcePdwlCM
Key Insights & Takeaways
The account uses interactive questions to encourage user engagement and participation. It shares content that is both informative and entertaining to maintain audience interest. Regular use of polls and quizzes helps keep the audience engaged and informed.
Strengths
- + Established follower base of 1,054,952
- + 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 @nationalrailenq reveals an growing Twitter presence with 1,054,952 followers. The account demonstrates a conversation-first approach, averaging 1.2 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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