Q36.5 Pro Cycling Team
Racing to positively change the future #RacingTheFuture
110,137
Followers
910
Following
53,441
Tweets
36.0
Avg Engagement
2,050
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Q36_5ProCycling'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:2009-09-25
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,245
- Avg Likes per Tweet:31.6
- Avg Retweets per Tweet:4.4
- Followers Analyzed:9,998
Engagement Analysis
Based on 3,245 tweetsThe account has a moderate level of engagement, with an average of 1,066 likes and 137 retweets per tweet. The content often sparks emotional responses, particularly around personal achievements and challenges.
31.6
Avg Likes/Tweet
4.4
Avg Retweets/Tweet
102,581
Total Likes
14,390
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
13
Median Likes
1
Median Retweets
35
75th Percentile
1,978
Top Tweet
0.33
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
64.8%
Original
10.0%
Replies
13.0%
Retweets
12.3%
Quotes
0.0%
Threads
1.0%
With Media
67.6%
With Links
85.9%
With #Tags
76.7%
With @Mentions
88.7%
With Emojis
167
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.15
Reply/Original Ratio
0.95
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
65.6%
Weekday Posts
34.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,245 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 421 retweets (13% 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 3,245 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 audience is primarily cycling enthusiasts and fans of professional racing, with a strong interest in personal journeys and the sport's cultural impact. They are likely to be engaged with content that highlights authenticity and emotional storytelling.
Average
Audience Quality
25.8%
Suspicion Index
31.5%
Low-Quality %
30
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.8%
Empty Bio
29.4%
<10 Tweets
10.4%
Mass Following (>2K)
0.0%
New (<90 days)
56.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.8%
No URL
20.3%
<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.
8,558,834
Total Potential Reach
30
Median Follower Reach
165
75th Percentile Reach
6.6%
>1K followers
0.9%
>10K followers
0.3%
>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).
49.9%
Creators
4,992 accounts
20.6%
Consumers
2,063 accounts
29.4%
Dormant
2,943 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):
29
Verified Followers
0.29% of total
918
Protected Accounts
9.18% 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 |
|---|---|---|---|
| @IOL | 662,889 | News Outlet | News, Change, Stories |
| @MasechabaAfrica | 530,915 | - | - |
| @EliudKipchoge | 525,356 | Athlete | Running, Olympics, Ambassador |
| @AleixEspargaro | 441,847 | MotoGP Rider | MotoGP, Rider, #41 |
| @teamnovonordisk | 256,938 | Cycling | Racing, Inspire, Diabetes |
| @SABC_Sport | 234,084 | Sports News | Sports, News, Updates |
| @PoppyIsMyName | 216,713 | Podcaster | Podcast, Music, Entertainment |
| @Breitling | 151,913 | Watches | Watches, Adventure, Team |
| @africaupdates | 140,840 | News Outlet | Africa News, Africa Business, Africa Tech |
| @srfsport | 139,360 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,724
Followers With Bio
4,276
Followers Without Bio
57.24%
% With Bio
42.76%
% 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 3,245 analyzed7,872
Combined Engagement
7,011
Total Likes
861
Total Retweets
1,574
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
🇲🇫 #TDF2021 "I wanted to honour my dream to ride @LeTour". Unfortunately after crashing today @nich_dlamini 🇿🇦 was unable to regain contact with the group but was determined to finish despite being out of the time limit. Ubuntu - I am because we are #BicyclesChangeLives http
🇫🇷 #TDF2021 "This is a race that I wanted to honour, & honour my dream. It was my first Tour de France & I knew it would be hard, I am disappointed but at this point there’s not much I can do." - @nich_dlamini ➡️:https://t.co/SDWC13Y0Yz #BicyclesChangeLives https://
🇫🇷 #TDF2021 Our beautiful sport is completely unique and extra special in how accessible we are to the fans. If we could please remind all spectators along the roads to stand back, at a safe distance, as the race passes by. 🙏 @LeTour #BicyclesChangeLives
Celebrating Fabio Aru! @FabioAru1 has announced that @lavuelta 2021 will be the final race of his cycling career... and what a career it has been! 🥰 Details: https://t.co/LP0RYsTSVF #BicyclesChangeLives 🖐 https://t.co/qNsePTIr0p
ANNOUNCEMENT We're deeply saddened to confirm our hopes to race on the WorldTour in 2022 team are over Team Qhubeka will continue to move forwards with our Continental team & we have other exciting projects & ideas which will see us changing lives🖐️ 🔗➡️https://t.co/XoQ
Key Insights & Takeaways
The account frequently references the Tour de France, indicating a strong connection to major cycling events. Personal stories and experiences are central to the content, which helps build a deeper connection with the audience. There is a clear emphasis on the accessibility and unique nature of cycling as a sport, which resonates with fans and highlights its community-driven aspect.
Strengths
- + Established follower base of 110,137
- + 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 @Q36_5ProCycling reveals an growing Twitter presence with 110,137 followers. The account demonstrates a content-creator strategy, averaging 36.0 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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