Alex Rins
MotoGP Rider
258,708
Followers
321
Following
4,969
Tweets
428.2
Avg Engagement
1,413
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Rins42'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:2011-09-24
- Verification:No
- Location:Andorra la Vieja, Andorra
Data Summary
- Tweets Analyzed:3,089
- Avg Likes per Tweet:374.3
- Avg Retweets per Tweet:53.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,089 tweetsThe account consistently receives high likes and retweets, indicating strong audience interaction and interest in the rider's content.
374.3
Avg Likes/Tweet
53.9
Avg Retweets/Tweet
1,156,208
Total Likes
166,403
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
109
Median Likes
30
Median Retweets
531
75th Percentile
18,480
Top Tweet
1.66
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
70.7%
Original
11.1%
Replies
14.8%
Retweets
3.4%
Quotes
0.0%
Threads
1.0%
With Media
83.1%
With Links
65.4%
With #Tags
60.2%
With @Mentions
55.5%
With Emojis
138
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.16
Reply/Original Ratio
0.23
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
64.8%
Weekday Posts
35.2%
Weekend Posts
Top Hashtags
Most Mentioned
Want This Report as PDF?
We're building PDF export for these analytics reports. Register your interest to get early access.
Content Strategy Analysis
Based on 3,089 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 456 retweets (15% 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 3,089 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 primarily consists of MotoGP enthusiasts and fans from Indonesia, who show strong support for the rider.
Average
Audience Quality
31.7%
Suspicion Index
41.2%
Low-Quality %
7
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
50.1%
Empty Bio
44.0%
<10 Tweets
5.6%
Mass Following (>2K)
0.0%
New (<90 days)
69.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.2%
No URL
32.3%
<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.
15,584,251
Total Potential Reach
7
Median Follower Reach
49
75th Percentile Reach
2.4%
>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).
35.3%
Creators
17,645 accounts
20.7%
Consumers
10,364 accounts
44.0%
Dormant
21,991 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):
126
Verified Followers
0.12% of total
11,777
Protected Accounts
11.66% of total
5 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 |
|---|---|---|---|
| @TerribleMaps | 1,807,050 | Cartographer | Maps, Humour, Business |
| @26_DaniPedrosa | 1,022,865 | Motorcyclist | Motorcycles, Racing, Instagram |
| @iownjd | 777,950 | Lawyer | learn, inspire, engage |
| @AlvaroNegredo9 | 691,317 | Footballer | Football, Cádiz CF, Player |
| @EASPORTSEsp | 669,150 | - | - |
| @HRC_MotoGP | 470,727 | Motorcycle Racing | Racing, Honda, MotoGP |
| @RolandoSalazar | 434,761 | Artist | Arte, Humor, Venezuela |
| @Motorsport | 416,697 | Motorsport News | Racing, Content, Prime |
| @kano_eri | 366,429 | Announcer | family, work, otoko wa tsuraiyo |
| @Iseya_Yusuke | 336,441 | Actor | actor, moviedirector, snowboard |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
52,950
Followers With Bio
48,048
Followers Without Bio
52.43%
% With Bio
47.57%
% 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.
Buy Follower Data
Export full follower list with profile details, bios, locations, and follower counts as CSV.
Buy Followers - from $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,089 analyzed54,760
Combined Engagement
49,317
Total Likes
5,443
Total Retweets
10,952
Avg per Tweet
Key Metrics for Viral Tweets
20%
With Media
80%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
I love indonesian fans ❤️🇮🇩 These ones too 😂🥵🥵🥵 #mynewbestfriend #motogp #IndonesianGP https://t.co/wn1TqUtOlV
I’m glad that you are okay! Get well soon @takanakagami30 ! https://t.co/pIkH3t2PE5
WE DID IT AGAIN!!!🔥P1 in Silverstone💥// LO HEMOS CONSEGUIDO!!🔥 P1 en Silverstone #ar42 #suzuki #motogp #britishgp https://t.co/OBhlkp9mRN
Indonesian parade photo dump 🤪 One of the best experiences in my life! The way this country enjoy bikes is just incredible ✊🏻💥 Brutal experiencia en el desfile de hoy 🤪 La forma en la que este país vive las motos es increíble ✊🏻💥 #IndonesianGP #Jakarta #Indonesia #MotoGP https:
Crash #42 🙈 Rider ok 😂 https://t.co/6vn5VVBG6a
Key Insights & Takeaways
The rider has a strong connection with Indonesian fans, which is a key part of his online presence. He frequently shares updates about his races and performances, keeping his audience informed and engaged. His content often includes emojis and hashtags, which help in creating a more personal and interactive experience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 258,708
- + 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 @Rins42 reveals an well-established Twitter presence with 258,708 followers. The account demonstrates a content-creator strategy, averaging 428.2 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.
Need Programmatic Access?
We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.
Register Interest for API Access