Chiltern Railways
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96,546
Followers
2,052
Following
202,319
Tweets
0.6
Avg Engagement
534
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @chilternrailway'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:2009-03-11
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,210
- Avg Likes per Tweet:0.4
- Avg Retweets per Tweet:0.1
- Followers Analyzed:9,998
Engagement Analysis
Based on 3,210 tweetsThe account sees an average of 17 likes and 6 retweets per tweet, suggesting a moderate level of interaction. Engagement appears to be driven by informative and timely updates rather than promotional content.
0.4
Avg Likes/Tweet
0.1
Avg Retweets/Tweet
1,368
Total Likes
479
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
0
75th Percentile
45
Top Tweet
0.01
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
13.3%
Original
86.0%
Replies
0.6%
Retweets
0.1%
Quotes
0.0%
Threads
0.2%
With Media
31.2%
With Links
1.2%
With #Tags
88.8%
With @Mentions
0.4%
With Emojis
175
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
6.48
Reply/Original Ratio
0.15
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
79.4%
Weekday Posts
20.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,210 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 3,210 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 9,998 followersThe primary audience is likely rail commuters and travelers interested in train journeys, particularly those looking for information on service changes and travel options. They may also include tourists seeking recommendations for day trips by train.
Average
Audience Quality
24.6%
Suspicion Index
33.8%
Low-Quality %
26
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45.4%
Empty Bio
31.5%
<10 Tweets
8.7%
Mass Following (>2K)
0.0%
New (<90 days)
47.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.7%
No URL
22.2%
<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.
18,402,745
Total Potential Reach
26
Median Follower Reach
160
75th Percentile Reach
5.7%
>1K followers
0.5%
>10K followers
0.1%
>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).
47.9%
Creators
4,789 accounts
20.6%
Consumers
2,056 accounts
31.5%
Dormant
3,153 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):
28
Verified Followers
0.28% of total
1,204
Protected Accounts
12.04% of total
6 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 | 14,093,338 | Wrestler | Wrestling, Motivation, Self-promotion |
| @JohnSimpsonNews | 209,194 | Journalist | Journalism, Travel, Author |
| @SayeedaWarsi | 184,470 | Politician | Politics, Education, Writing |
| @trishgreenhalgh | 180,294 | Professor | Primary Care, Oxford, Unblock Requests |
| @stephenkb | 144,855 | Political Editor | Politics, Journalism, Writing |
| @Gailporter | 141,624 | Speaker | Contact, Instagram, Speaker Agent |
| @timkeyperson | 128,833 | Author | Book, Thought, Wife |
| @Chelsearory | 91,590 | Football Pundit | Family, Chelsea FC, Football |
| @TheOxfordMail | 83,037 | - | - |
| @IvoGraham | 76,842 | Comedian | Stand up, Prank victim |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,457
Followers With Bio
4,543
Followers Without Bio
54.57%
% With Bio
45.43%
% 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 3,210 analyzed163
Combined Engagement
53
Total Likes
110
Total Retweets
33
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
RT @RailDeliveryGrp: 🚆2023's #WorldCupOfStations begins on Monday! @MrTimDunn has shortlisted 48 of Britain's best-loved stations, but only one can emerge as the country's chosen winner. 🏆 Who will you be voting for? 🗳️ 🧵 https://t.co/Viwm2nC4J8
From 17 April, we’re increasing capacity to and from Oxford. Services will be very busy and journeys may take much longer. Please consider alternative travel plans if possible For further details and to plan your journey, go to https://t.co/1blAQ573Pv https://t.co/1Ik51tQ9Xl
RT @WestMids_CA: 🌟 Email your favourite name for the Birmingham 2022 Commonwealth Games bull to [email protected] 💌 Don't stop there—share your brilliant ideas in the thread below and let's crown this magnificent beast with a legendary name! 🏆✨ #NameTheBull #Birmingha
On the 27th May, due to the Play-Off Final between Coventry and Luton at Wembley Stadium, we expect our stations and services to be extremely busy throughout the day. Please allow extra time if you are travelling. For live travel updates: https://t.co/uaH54Lo4tU https://t.co/Fn
RT @RailDeliveryGrp: Rail passenger numbers have been hit hard since the pandemic and we are seeking to rebuild these numbers by inspiring travel by train. #NothingBeatsBeingThere https://t.co/45MLe7xs3y
Key Insights & Takeaways
The account frequently shares service alerts and capacity updates, which are likely critical for their audience's travel planning. Promotional content about green travel and attractions highlights their focus on sustainability and leisure travel. The use of external links for sign-ups suggests a desire to direct followers to official resources for more information.
Strengths
- + Established follower base of 96,546
- + 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 @chilternrailway reveals an growing Twitter presence with 96,546 followers. The account demonstrates a conversation-first approach, averaging 0.6 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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