Cyclingnews
The official Cyclingnews – the world centre of cycling
307,063
Followers
2,277
Following
141,546
Tweets
20.1
Avg Engagement
6,459
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Cyclingnewsfeed'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:2009-04-02
- Verification:No
- Location:Everywhere
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:18.5
- Avg Retweets per Tweet:1.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account has a steady engagement rate, with most tweets receiving around 433 likes and 48 retweets. The engagement is consistent but not exceptionally high compared to other sports accounts.
18.5
Avg Likes/Tweet
1.7
Avg Retweets/Tweet
60,008
Total Likes
5,457
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
12
Median Likes
1
Median Retweets
23
75th Percentile
1,432
Top Tweet
0.07
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
97.6%
Original
0.1%
Replies
1.9%
Retweets
0.3%
Quotes
0.0%
Threads
0.9%
With Media
98.5%
With Links
1.5%
With #Tags
2.2%
With @Mentions
1.5%
With Emojis
120
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.0
Reply/Original Ratio
0.16
Quote/RT Ratio
Posting Rhythm
Consistent
Regular posting cadence
73.3%
Weekday Posts
26.7%
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 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 63 retweets (2% 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 audience is primarily cycling enthusiasts and fans of professional racing. The content appeals to both casual viewers and dedicated followers of the sport.
Average
Audience Quality
31.1%
Suspicion Index
42.0%
Low-Quality %
9
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
50.6%
Empty Bio
44.0%
<10 Tweets
6.8%
Mass Following (>2K)
0.0%
New (<90 days)
64.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.9%
No URL
33.4%
<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.
31,680,669
Total Potential Reach
9
Median Follower Reach
65
75th Percentile Reach
3.0%
>1K followers
0.3%
>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).
35.4%
Creators
17,706 accounts
20.6%
Consumers
10,295 accounts
44.0%
Dormant
21,999 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):
542
Verified Followers
0.54% of total
10,556
Protected Accounts
10.56% 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 | 14,102,392 | Wrestler | Wrestling, Motivation, Self-promotion |
| @ganjarpranowo | 3,264,475 | Politician | Politics, Public Service, Social Media |
| @sergio_fajardo | 1,727,920 | Politician | Politics, Mathematics, Leadership |
| @tribundergi | 1,296,210 | Sports Magazine | Football, Culture, Istanbul |
| @BRUNOIERULLO | 936,710 | Fashion Designer | Fashion, Design, Documentary |
| @titopuccettic | 838,616 | Sports Journalist | fútbol, televisión, radio |
| @NOH8Campaign | 801,542 | Activism | equality, bullying, discrimination |
| @AleixEspargaro | 441,133 | MotoGP Rider | MotoGP, Rider, #41 |
| @B2WIndonesia | 391,558 | Cycling Advocate | Cycling, Better living, Community engagement |
| @zammit_marc | 387,782 | Filmmaker | Film, Acting, Producing |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
51,765
Followers With Bio
48,235
Followers Without Bio
51.77%
% With Bio
48.23%
% 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 3,250 analyzed3,691
Combined Engagement
3,377
Total Likes
314
Total Retweets
738
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Fabian Cancellara believes Van Aert's 'gift' to Laporte was the mark of a true champion "Sometimes, you don't need to win to get stronger. Sometimes, sharing takes you even further. Wout has grasped this." https://t.co/ZsGvri1hQi
The Tour de France Netflix documentary is here! Well, a trailer of the series is, at least. Check out a clip of the action here (📹 Mobile World Congress) https://t.co/dFXuVchl3p
Peter Sagan to retire from WorldTour at end of season, targets MTB at Paris Olympics https://t.co/LTDgwqVtBJ
Mads Pedersen on his Tour of Flanders aggression: Better to die trying than die following Dane tried to anticipate Pogačar and survived to finish second https://t.co/nyNVHjVQiC
Jumbo-Visma to wear brain-design helmets at Paris Roubaix to raise helmet awareness https://t.co/T3L3KBsPEW
Key Insights & Takeaways
The content often highlights key moments and achievements in professional cycling, such as Van Aert's actions and Cancellara's comments. The account frequently promotes documentaries and special events, like the Tour de France Netflix series, to attract a broader audience. It also covers athlete retirements and future goals, such as Peter Sagan's transition to mountain biking.
Strengths
- + Established follower base of 307,063
- + 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 @Cyclingnewsfeed reveals an growing Twitter presence with 307,063 followers. The account demonstrates a content-creator strategy, averaging 20.1 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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