Danny Kent
2015 Moto 3 world champion 🏆 - 2024 official BSB Mcams Racing By Mar-Train
78,438
Followers
958
Following
3,427
Tweets
82.8
Avg Engagement
578
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DannyKent52'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:2010-10-20
- Verification:No
- Location:United Kingdom
Data Summary
- Tweets Analyzed:3,136
- Avg Likes per Tweet:18.8
- Avg Retweets per Tweet:64.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,136 tweetsAverage likes and retweets suggest a moderate level of engagement, with a focus on emotional and personal content. His tweets often spark conversations and show appreciation for the racing world.
18.8
Avg Likes/Tweet
64.0
Avg Retweets/Tweet
58,987
Total Likes
200,790
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
2
Median Retweets
18
75th Percentile
136,378
Top Tweet
1.06
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
39.2%
Original
33.2%
Replies
24.0%
Retweets
3.5%
Quotes
0.0%
Threads
0.4%
With Media
26.1%
With Links
23.3%
With #Tags
75.3%
With @Mentions
25.2%
With Emojis
83
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.85
Reply/Original Ratio
0.15
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.1%
Weekday Posts
24.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,136 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 754 retweets (24% 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 3,136 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 likely include motorsport enthusiasts, fellow riders, and fans of British racing. The audience appears to be deeply invested in the racing community and emotional connections to the sport.
Average
Audience Quality
30.0%
Suspicion Index
33.5%
Low-Quality %
17
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.6%
Empty Bio
35.3%
<10 Tweets
10.6%
Mass Following (>2K)
0.0%
New (<90 days)
68.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.8%
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.
4,052,159
Total Potential Reach
17
Median Follower Reach
82
75th Percentile Reach
3.2%
>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).
39.5%
Creators
3,951 accounts
25.2%
Consumers
2,519 accounts
35.3%
Dormant
3,530 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):
27
Verified Followers
0.27% of total
1,017
Protected Accounts
10.17% 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 |
|---|---|---|---|
| @ZachBoychuk | 827,125 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @DAZN_ES | 374,406 | Streaming Sports | Deportes, Directo, Bajo demanda |
| @OfficialBSB | 115,225 | Motorcycle Racing | Motorcycles, Racing, Championship |
| @Motorsport_LAT | 104,461 | Motorsport Content | F1, IndyCar, NASCAR |
| @mike_Iaconelli | 101,786 | Fisherman | Fishing, Host, Bass University |
| @Noguecatoira | 94,906 | DJ | DJing, Video Games, Techno Music |
| @AthleteNation | 67,902 | Sports Marketing | Brands, Athletes, Marketing |
| @JoanMirOfficial | 64,860 | - | - |
| @marcuslorenz | 62,218 | Motivational Speaker | Motivation, Success, Courage |
| @BBCWiltshire | 59,325 | Radio station | Wiltshire, Radio, Sound |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,544
Followers With Bio
4,456
Followers Without Bio
55.44%
% With Bio
44.56%
% 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 3,136 analyzed164,192
Combined Engagement
2,140
Total Likes
162,052
Total Retweets
32,838
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @Javoris: Will Smith just gave the most important advice I’ve heard in life https://t.co/VyHHdZtymN
RT @mattjpsmith: If anyone is having a bad day, remember that today in 1976 Ronald Wayne sold his 10% stake in Apple for $800. Now it's worth $58,065,210,000
RT @FloydMayweather: I'm ready to put my belt up. What about you Manny Pacquiao? Let's make history. http://t.co/HnMdGT61
RT @J_CartwrightN0T: Southerners when they meet a northerner for the first time https://t.co/0BLusih85F
Nicest guy in the paddock! So so sad😔 always in our hearts❤️ RIP Nicky xx https://t.co/r2iqvGuDrQ
Key Insights & Takeaways
His account is heavily focused on personal tributes and emotional connections to the racing community He maintains a professional image while also sharing personal sentiments The content often highlights his role in the racing industry and his affiliations with teams and sponsors
Strengths
- + Established follower base of 78,438
- + 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 @DannyKent52 reveals an growing Twitter presence with 78,438 followers. The account demonstrates a content-creator strategy, averaging 82.8 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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