Katy M
Freelance cycling writer and broadcaster. Words in various publications; CX for @CyclingAlmanack; #OnYerBikePod; Linguist. SUBSCRIBE: https://writebikerepeat.com/
16,343
Followers
2,770
Following
33,830
Tweets
32.1
Avg Engagement
344
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @writebikerepeat'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:2020-11-10
- Verification:No
- Location:Newcastle upon Tyne
Data Summary
- Tweets Analyzed:3,244
- Avg Likes per Tweet:25.5
- Avg Retweets per Tweet:6.5
- Followers Analyzed:12,450
Engagement Analysis
Based on 3,244 tweetsTheir tweets typically receive a high number of likes, indicating strong approval from their audience. Retweets are less frequent, suggesting a more passive engagement style.
25.5
Avg Likes/Tweet
6.5
Avg Retweets/Tweet
82,811
Total Likes
21,177
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
0
Median Retweets
17
75th Percentile
7,670
Top Tweet
1.96
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
16.5%
Original
68.6%
Replies
6.3%
Retweets
8.6%
Quotes
0.0%
Threads
0.8%
With Media
22.3%
With Links
17.4%
With #Tags
74.3%
With @Mentions
46.1%
With Emojis
108
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
4.17
Reply/Original Ratio
1.38
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
74.6%
Weekday Posts
25.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,244 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 203 retweets (6% 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 3,244 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 12,450 followersTheir audience includes cycling enthusiasts, sports journalists, and fans of cycling-related content. They also attract followers interested in linguistics and niche sports culture.
Good
Audience Quality
18.1%
Suspicion Index
20.1%
Low-Quality %
109
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
32.6%
Empty Bio
12.2%
<10 Tweets
16.1%
Mass Following (>2K)
0.0%
New (<90 days)
37.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
82.0%
No URL
7.6%
<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.
35,107,892
Total Potential Reach
109
Median Follower Reach
385
75th Percentile Reach
12.1%
>1K followers
1.6%
>10K followers
0.4%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
73.0%
Creators
9,084 accounts
14.9%
Consumers
1,849 accounts
12.2%
Dormant
1,517 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):
122
Verified Followers
0.98% of total
1,024
Protected Accounts
8.22% 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 | 14,106,279 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,441 | - | - |
| @theJeremyVine | 789,151 | Broadcaster | radio, eggheads, poetry |
| @giroditalia | 783,209 | Cycling | Cycling, Italy, Passion |
| @eliistender10 | 412,215 | Author | Books, Podcasting, Music |
| @B2WIndonesia | 390,928 | Cycling Advocate | Cycling, Better living, Community engagement |
| @zammit_marc | 388,215 | Filmmaker | Film, Acting, Producing |
| @STU_ACTOR | 344,520 | Actor | Acting, British, TV |
| @Vannieuwkerke | 335,737 | TV Host | sports, TV, life |
| @Cyclingnewsfeed | 302,314 | Cycling News | Cycling, News, World Center |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
8,386
Followers With Bio
4,064
Followers Without Bio
67.36%
% With Bio
32.64%
% 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 3,244 analyzed15,665
Combined Engagement
2,241
Total Likes
13,424
Total Retweets
3,133
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @GeraintThomas86: Well camp’s nearly over so it’s time to get in the festive spirit over the next few days. First up I’ve got a signed jersey to gift to someone to say thanks for all the support in 2022 - just retweet this post to enter 🎅 👌 🎁 #12daysofGmas https://t.co/GtC7m
Absolutely love this image, MVDP superimposed next to Poulidor, the only Monument his grandfather won 🥺 #Milansanremo 📸 @sprintcycling c/o @mathieuvdpoel instagram https://t.co/0B5Eq4IInw
RT @awlilnatty: HA HA HA HA HA HA HA HA THEY THINK WE STROLL IN THE DARK HA HA HA HA HA HA HA HA HA HA HA https://t.co/apzx88JcZQ
RT @andy_murray: Interesting vacancy. Was looking to get into politics when I finish playing 🎾😉 https://t.co/VmjpF0sE7T
RT @NoContextBrits: https://t.co/8IKb8MJfhJ
Key Insights & Takeaways
They often reference specific cycling events and figures, indicating a deep knowledge of the sport. Their content is a mix of humor, nostalgia, and professional commentary, appealing to a broad cycling audience. They frequently engage with other cycling influencers and publications, building a network within the cycling community.
Strengths
- + Established follower base of 16,343
- + 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 @writebikerepeat reveals an growing Twitter presence with 16,343 followers. The account demonstrates a conversation-first approach, averaging 32.1 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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