Robert Doornbos
Former Formula 1, IndyCar driver/ Ziggo Sport F1 analyst / Entrepreneur in various sectors PON Luxury Cars ,Red Bull, Nestr, ERU, Build4Performance
96,916
Followers
2,755
Following
10,819
Tweets
236.4
Avg Engagement
755
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @robertdoornboss'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:2009-01-22
- Verification:No
- Location:Amsterdam
Data Summary
- Tweets Analyzed:3,188
- Avg Likes per Tweet:69.4
- Avg Retweets per Tweet:167.0
- Followers Analyzed:10,998
Engagement Analysis
Based on 3,188 tweetsHis tweets typically receive a high number of likes and retweets, indicating strong audience interaction. The engagement is driven by a mix of professional and personal content.
69.4
Avg Likes/Tweet
167.0
Avg Retweets/Tweet
221,345
Total Likes
532,428
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
3
Median Retweets
92
75th Percentile
30,771
Top Tweet
2.44
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
34.3%
Original
23.1%
Replies
36.7%
Retweets
5.9%
Quotes
0.0%
Threads
0.1%
With Media
74.5%
With Links
51.7%
With #Tags
78.3%
With @Mentions
79.8%
With Emojis
137
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.67
Reply/Original Ratio
0.16
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
59.2%
Weekday Posts
40.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,188 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 1,170 retweets (37% 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 3,188 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 10,998 followersHis audience includes motorsport fans, fellow athletes, and individuals interested in entrepreneurship. The content appeals to both sports enthusiasts and those looking for personal stories.
Average
Audience Quality
32.4%
Suspicion Index
50.2%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
62.9%
Empty Bio
49.1%
<10 Tweets
2.8%
Mass Following (>2K)
0.0%
New (<90 days)
61.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.5%
No URL
37.5%
<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.
2,414,976
Total Potential Reach
6
Median Follower Reach
37
75th Percentile Reach
1.6%
>1K followers
0.2%
>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).
30.5%
Creators
3,349 accounts
20.4%
Consumers
2,244 accounts
49.1%
Dormant
5,405 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):
38
Verified Followers
0.35% of total
1,010
Protected Accounts
9.18% 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 |
|---|---|---|---|
| @astro_andre | 444,819 | Astronaut | Space exploration, Science, Astronautics |
| @conquerer1 | 236,214 | Entertainer | MUSIC, AWARDS, CELEBRITIES |
| @AlertTrade | 227,941 | Trading | Trade Alerts, Trade Ideas, Crypto |
| @FDataAnalysis | 134,200 | Data Analyst | F1, Data Analysis, Telemetry |
| @Visiongeo | 89,133 | Philanthropist | NGO funding, Philanthropy, Travel |
| @SUPER_FORMULA | 61,749 | Racing | Racing, Championship, Global |
| @TheKing77nl | 46,294 | Adult Entertainer | OF/FC Model, Sekswerker, YouTuber |
| @FreddieKlifman | 31,309 | - | - |
| @MFilter01 | 27,389 | - | - |
| @SGNederlandbv | 24,886 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,081
Followers With Bio
6,917
Followers Without Bio
37.11%
% With Bio
62.89%
% 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 3,188 analyzed104,959
Combined Engagement
0
Total Likes
104,959
Total Retweets
20,992
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @F1: KEVIN MAGNUSSEN IS ON POLE!!! #BrazilGP @HaasF1Team https://t.co/WLBqUv5pAf
RT @F1: BREAKING: Kimi Raikkonen announces this will be his final season in #F1 https://t.co/U4m9xMEyzJ
RT @F1: IT'S POLE FOR GEORGE RUSSELL!!! What a lap from the Briton - his first career pole! #HungarianGP #F1 https://t.co/K08w2LhLzt
RT @F1: ONE RACE TO GO. ZERO POINTS IN IT. Who wins?! #SaudiArabianGP 🇸🇦 #F1 https://t.co/6RfnXMutH7
RT @F1: Formula 1 and the FIA, with the full support of the Australian Grand Prix Corporation (AGPC), have taken the decision that all Formula 1 activity for the Australian Grand Prix is cancelled https://t.co/rHbc7hlNvH
Key Insights & Takeaways
His personal updates, such as the health news about his daughter, generate significant emotional engagement. He effectively uses hashtags to increase visibility and connect with his audience. His professional background in motorsport and entrepreneurship adds credibility and variety to his content.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 96,916
- + 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 @robertdoornboss reveals an well-established Twitter presence with 96,916 followers. The account demonstrates a content-creator strategy, averaging 236.4 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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