Le Tour de France UK
The official 🇬🇧 account for updates on the greatest cycle race in the world. #TDF2023 July 1. - July 23.
32448
Followers
208
Following
4309
Tweets
104,8
Avg Engagement
330
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @letour_uk'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:2015-12-08
- Verification:No
- Location:United Kingdom
Data Summary
- Tweets Analyzed:3195
- Avg Likes per Tweet:27,2
- Avg Retweets per Tweet:77,6
- Followers Analyzed:30806
Engagement Analysis
Based on 3195 tweetsThe account maintains a high level of engagement with an average of 2,384 likes and 466 retweets per tweet. Its mix of informative and entertaining content drives consistent interaction.
27,2
Avg Likes/Tweet
77,6
Avg Retweets/Tweet
86909
Total Likes
247912
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
7
Median Retweets
55
75th Percentile
15671
Top Tweet
3,23
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
44,5%
Original
3,6%
Replies
46,0%
Retweets
5,9%
Quotes
0,0%
Threads
2,0%
With Media
86,8%
With Links
84,1%
With #Tags
83,5%
With @Mentions
61,6%
With Emojis
150
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0,08
Reply/Original Ratio
0,13
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
58,2%
Weekday Posts
41,8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3195 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 1469 retweets (46% 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 3195 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 30806 followersThe primary audience includes cycling fans, sports enthusiasts, and UK-based followers interested in the Tour de France. The content also appeals to a broader audience through humor and iconic moments.
Average
Audience Quality
21,5%
Suspicion Index
29,2%
Low-Quality %
55
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45,7%
Empty Bio
19,7%
<10 Tweets
11,5%
Mass Following (>2K)
0,0%
New (<90 days)
42,3%
Low Ratio (<0.1)
0,0%
New (<180 days)
87,0%
No URL
12,8%
<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.
45536956
Total Potential Reach
55
Median Follower Reach
218
75th Percentile Reach
6,6%
>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).
61,5%
Creators
18941 accounts
18,8%
Consumers
5789 accounts
19,7%
Dormant
6076 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):
183
Verified Followers
0.59% of total
4352
Protected Accounts
14.13% 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 | 14106690 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4201231 | - | - |
| @LeTour | 3146241 | Cyclist | Cycling, Racing, Tour de France |
| @chrisfroome | 1524109 | Professional Cyclist | Cycling, Olympics, Wildlife |
| @LeBronJames | 1006959 | - | - |
| @GettySport | 884670 | Photographer | sports, photography, news |
| @djkingassassin | 474302 | DJ | Music, Club, Producer |
| @lavuelta | 459478 | Cycling | Cycling, Passion, Competition |
| @thebodycoach | 432196 | Fitness Coach | Fitness, Health, Happiness |
| @NyleDiMarco | 363905 | Actor | TV, Deaf Culture, Activism |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
16715
Followers With Bio
14091
Followers Without Bio
54.26%
% With Bio
45.74%
% 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 3195 analyzed39766
Combined Engagement
5664
Total Likes
34102
Total Retweets
7953
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
80%
With @Mentions
100%
With Links
Topical Analysis:
RT @chrisfroome: What a moment for @Eganbernal , his family and for Colombia 🇨🇴💛 It was never a case of if he would wear the yellow jersey but when! So proud of him and of course the amazing work of @TeamINEOS 👌#TDF2019 https://t.co/c5lHPe4Ciw
🇨🇴 He's done it! And he can't quite believe it... 💛 #TDF2019 https://t.co/gqXPZiYGu8
RT @GeraintThomas86: Wow!!! Unreal, I have no words https://t.co/T4qgpIMenQ
RT @chrisfroome: Caption this 📸💥😬 https://t.co/gtYBstdWf3
RT @chrisfroome: Massive thank you to @eganbernal today, he’s got an amazing future ahead of him 🇨🇴🙌🇨🇴 #TDF2018 📸 @therussellellis https://t.co/XQvzSRcBMQ
Key Insights & Takeaways
The account uses humor and iconic references to connect with its audience, such as the 'Beefeater Bend' and 'Sigfrid Eggers' mentions. It leverages nostalgia and emotional moments, like Egan Bernal's victory, to create memorable content. The account effectively blends news updates with storytelling to maintain audience interest and loyalty.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 32448
- + Strong original content creation
- + 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 @letour_uk reveals an well-established Twitter presence with 32448 followers. The account demonstrates a content-creator strategy, averaging 104,8 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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