Bennetts British Superbike Championship
The Official account for Bennetts British Superbikes. Bennetts BSB Series Director @stuarthiggs. For insurance enquiries please tweet @bennetts_bike
116,134
Followers
1,018
Following
88,786
Tweets
42.5
Avg Engagement
655
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @OfficialBSB'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:2009-03-10
- Verification:No
- Location:UK
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:38.0
- Avg Retweets per Tweet:4.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,250 tweetsThe account maintains a steady level of engagement with average likes and retweets, indicating consistent interaction with its audience. The focus on emotional and community-driven content likely contributes to this engagement.
38.0
Avg Likes/Tweet
4.4
Avg Retweets/Tweet
123,582
Total Likes
14,458
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
7
Median Likes
2
Median Retweets
40
75th Percentile
4,100
Top Tweet
0.37
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
66.0%
Original
1.0%
Replies
30.0%
Retweets
3.0%
Quotes
0.0%
Threads
0.4%
With Media
66.4%
With Links
41.0%
With #Tags
72.0%
With @Mentions
36.6%
With Emojis
146
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.02
Reply/Original Ratio
0.1
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
50.5%
Weekday Posts
49.5%
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 974 retweets (30% 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 10,000 followersThe primary audience includes motorsport fans, riders, and industry professionals interested in British Superbikes. The account also engages with the broader paddock community and fans of specific riders and teams.
Average
Audience Quality
29.3%
Suspicion Index
41.7%
Low-Quality %
18
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
55.2%
Empty Bio
39.6%
<10 Tweets
9.2%
Mass Following (>2K)
0.0%
New (<90 days)
54.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.8%
No URL
28.3%
<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.
3,871,806
Total Potential Reach
18
Median Follower Reach
95
75th Percentile Reach
3.4%
>1K followers
0.4%
>10K followers
0.1%
>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).
38.4%
Creators
3,836 accounts
22.0%
Consumers
2,202 accounts
39.6%
Dormant
3,962 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):
46
Verified Followers
0.46% of total
996
Protected Accounts
9.96% of total
4 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 |
|---|---|---|---|
| @zammit_marc | 386,568 | Filmmaker | Film, Acting, Producing |
| @AliceProject_mb | 356,383 | Idol | Music, Idol, Performance |
| @eBay_UK | 147,813 | E-commerce | buying, selling, small businesses |
| @BernardMarr | 138,024 | Futurist | Business, Tech, Data |
| @MorelDLeon | 127,109 | - | - |
| @RoiLopezRivas | 119,133 | Geologist | Gobierno, URSS, Chavista |
| @Stella59089826 | 104,491 | - | - |
| @TheRealTomSykes | 95,242 | Motorcycle racer | Motorcycles, Racing, Life |
| @saravofcl | 84,520 | - | - |
| @AmyWilliamsMBE | 73,437 | Athlete | Olympics, Author, TV Presenter |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,483
Followers With Bio
5,517
Followers Without Bio
44.83%
% With Bio
55.17%
% 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 3,250 analyzed12,102
Combined Engagement
11,142
Total Likes
960
Total Retweets
2,420
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
100%
With Links
Topical Analysis:
MSVR statement: Chrissy Rouse 📰 https://t.co/gkzSx4tMt0 https://t.co/fCPZ41g9Kq
The paddock community come together to pay tribute to Chrissy Rouse We also remember Phil Read and Victor Steeman https://t.co/494idHQzCi
“It’s a dream come true” @BradRayRacing https://t.co/uEeocnnQoX
Remembering Chrissy Rouse 📰 https://t.co/pESY4ik1jb https://t.co/logvuYEdI0
Paying tribute to Chrissy Rouse as we prepare for raceday at @Brands_Hatch https://t.co/mfyN36SonS
Key Insights & Takeaways
The account frequently highlights tributes and memorials, showing a strong emphasis on community and remembrance. It shares official statements and updates, reinforcing its role as a trusted source of information. Engagement appears to be driven by emotional and community-focused content rather than promotional material.
Strengths
- + Established follower base of 116,134
- + 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 @OfficialBSB reveals an growing Twitter presence with 116,134 followers. The account demonstrates a content-creator strategy, averaging 42.5 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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