Manor Racing
The Official Manor Racing on Twitter. We just love to read your Tweets.
356,858
Followers
303
Following
30,474
Tweets
176.2
Avg Engagement
21,602
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ManorRacing'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:2009-11-19
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,196
- Avg Likes per Tweet:103.7
- Avg Retweets per Tweet:72.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,196 tweetsThe account has a high average engagement rate with 2,249 likes and 3,081 retweets per tweet, indicating strong fan interaction.
103.7
Avg Likes/Tweet
72.5
Avg Retweets/Tweet
331,470
Total Likes
231,669
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
50
Median Likes
20
Median Retweets
153
75th Percentile
9,351
Top Tweet
0.49
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
78.8%
Original
1.7%
Replies
6.4%
Retweets
13.0%
Quotes
0.0%
Threads
0.4%
With Media
63.4%
With Links
38.2%
With #Tags
32.9%
With @Mentions
29.3%
With Emojis
95
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.02
Reply/Original Ratio
2.02
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
49.6%
Weekday Posts
50.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,196 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 206 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 3,196 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 appears to be motorsport enthusiasts and fans of the team, with a focus on Formula E and racing updates.
Average
Audience Quality
29.9%
Suspicion Index
36.2%
Low-Quality %
29
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
50.0%
Empty Bio
34.6%
<10 Tweets
14.9%
Mass Following (>2K)
0.0%
New (<90 days)
60.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.2%
No URL
22.5%
<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.
25,336,075
Total Potential Reach
29
Median Follower Reach
142
75th Percentile Reach
3.4%
>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).
39.1%
Creators
19,557 accounts
26.2%
Consumers
13,125 accounts
34.6%
Dormant
17,318 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):
223
Verified Followers
0.22% of total
10,536
Protected Accounts
10.54% 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 |
|---|---|---|---|
| @Schofe | 4,411,897 | TV Presenter | food, wine, pedantic |
| @ganjarpranowo | 3,263,193 | Politician | Politics, Public Service, Social Media |
| @officiallyjoko | 2,111,928 | Entertainer | comedy, entertainment, activism |
| @VIVAbola | 1,929,965 | Sports News | soccer, news, community |
| @HaasF1Team | 1,518,767 | Formula 1 Team | Formula 1, America, Racing |
| @soledadobrien | 1,318,353 | Journalist | working, mom, journalist |
| @willne | 1,262,005 | YouTuber | YouTube, Comedy, Gaming |
| @fadjroeL | 1,047,046 | Communications | Democracy, Indonesia, Friendship |
| @RHaryantoracing | 994,537 | F1 Driver | F1, Racing, Indonesia |
| @TimCoronel | 977,450 | Racer | Dakar Rally, Car Wars, Racing |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
50,597
Followers With Bio
49,403
Followers Without Bio
50.6%
% With Bio
49.4%
% 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 3,196 analyzed33,045
Combined Engagement
13,365
Total Likes
19,680
Total Retweets
6,609
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
One year on. Always with us. #JB17 https://t.co/zxB2WCv8pz
Welcome to the team, Rio! Looking forward to seeing you in the MRT05 next week @Circuitcat_eng https://t.co/Sx9NVrxuxo
Still smiling. Good man. A lot of positives to take away from the rest of the weekend. Back fighting in Bahrain. https://t.co/iWiLooCGKB
Great news! We've signed Rio Haryanto to our second seat. Our young & hungry 2016 line-up is complete. https://t.co/8uSU6L3doY #F1
Special thanks to our fantastic Indonesian fans for your support & understanding. We do appreciate your kind comments.
Key Insights & Takeaways
The account frequently shares tributes and memorials, showing a connection to the team's history and legacy. It highlights new team members and upcoming events, indicating a focus on team development and future goals. The use of hashtags and links suggests an effort to drive traffic and maintain a cohesive online presence.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 356,858
- + 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 @ManorRacing reveals an well-established Twitter presence with 356,858 followers. The account demonstrates a content-creator strategy, averaging 176.2 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.
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