Brad Binder
South African Bru riding for Red Bull KTM Factory Racing in MotoGP 🇿🇦 • 2016 Moto3 World Champion •Moto2 Runner up • Enquiries: [email protected]
75,902
Followers
269
Following
745
Tweets
139.6
Avg Engagement
654
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @BradBinder_33'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:2012-11-19
- Verification:No
- Location:South Africa
Data Summary
- Tweets Analyzed:737
- Avg Likes per Tweet:125.2
- Avg Retweets per Tweet:14.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 737 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. The content is engaging and often highlights personal and professional milestones.
125.2
Avg Likes/Tweet
14.4
Avg Retweets/Tweet
92,308
Total Likes
10,580
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
4
Median Retweets
88
75th Percentile
10,590
Top Tweet
1.84
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
73.1%
Original
6.4%
Replies
20.5%
Retweets
0.0%
Quotes
0.0%
Threads
2.2%
With Media
62.7%
With Links
33.4%
With #Tags
46.5%
With @Mentions
38.4%
With Emojis
113
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.09
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.8%
Weekday Posts
29.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 737 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 151 retweets (20% 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 737 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 10,000 followersHis followers are likely motorsport enthusiasts and fans of his racing career. The audience is primarily interested in his performance and progress in MotoGP.
Average
Audience Quality
30.6%
Suspicion Index
44.1%
Low-Quality %
12
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
57.8%
Empty Bio
41.8%
<10 Tweets
4.9%
Mass Following (>2K)
0.0%
New (<90 days)
62.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.7%
No URL
30.4%
<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.
16,589,806
Total Potential Reach
12
Median Follower Reach
55
75th Percentile Reach
2.1%
>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).
35.0%
Creators
3,504 accounts
23.1%
Consumers
2,314 accounts
41.8%
Dormant
4,182 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):
39
Verified Followers
0.39% of total
1,050
Protected Accounts
10.5% 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 |
|---|---|---|---|
| @JohnCena | 14,071,191 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Sheldon_Sniper | 442,149 | - | - |
| @youtube_miyau | 132,700 | YouTuber | gaming, vlogging, motorcycle racing |
| @MorelDLeon | 127,444 | - | - |
| @Devi_HQ | 97,949 | Journalist | Investigative journalism, Television, Keynote speaking |
| @lucywiryono | 95,438 | Sportscaster | motogp, race host, bts |
| @redbullmotors | 94,168 | Motorsports | Racing, Motorsports, Obsessed |
| @Odyne_LaFee | 93,642 | - | - |
| @Mobil1TheGrid | 49,080 | Motorsport Media | motorsport, F1, NASCAR |
| @GIrwinRacing | 42,617 | Motorcycle racer | Motorcycles, Racing, Victory |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,220
Followers With Bio
5,780
Followers Without Bio
42.2%
% With Bio
57.8%
% 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 737 analyzed23,852
Combined Engagement
22,192
Total Likes
1,660
Total Retweets
4,770
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
80%
With @Mentions
100%
With Links
Topical Analysis:
Yesterday was a Dream come true... Hard to believe we are Grand Prix winners🏆 Thank you to everyone for all the support over the years. The feeling to stand on top of the podium in MotoGP was unreal. I’m for ever… https://t.co/sK9XB1iU1J
What a day… Im so insanely happy to have walked away with my second MotoGP victory✊🏻Big risk turned into great reward. Thank you to my team @ktmfactoryracing and everyone for the great support. #orangearmy #redbull #KTM https://t.co/s1XlUxIZeP
I’m really happy to announce that I will be stepping up into the MotoGP class for the 2020 season with the @tech3racing team. Thank you Red Bull KTM for believing in me, not just for next year but for all the years… https://t.co/n3jYtJQdxm
Solid come back today✊🏻✊🏻✊🏻. 17th on the grid to finish 4th. Thank you team @KTM_Racing . Super keen to give it another go next week. Thanks for all the support🇿🇦 #redbull #KTM @ Red Bull Ring https://t.co/7kZtXaO8tT
Another race under the belt... Finishing up in 8th place after going straight in turn 1 was good... lessons learned and ready for the next one. Thanks team ✊ @ Red Bull Ring https://t.co/WMmszrSCcy
Key Insights & Takeaways
He frequently shares personal and professional achievements, which resonate well with his audience. His content is focused on his racing career and team collaborations, showing a strong brand identity. He uses his platform to express gratitude and celebrate victories, which enhances fan connection.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 75,902
- + 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 @BradBinder_33 reveals an well-established Twitter presence with 75,902 followers. The account demonstrates a content-creator strategy, averaging 139.6 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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