MoneyGram Haas F1 Team
America's #F1 team.
1,615,773
Followers
315
Following
31,205
Tweets
2,275.7
Avg Engagement
12,548
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @HaasF1Team'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: Mega Influencer (1M+)
- Account Age:2014-01-21
- Verification:No
- Location:Kannapolis, NC
Data Summary
- Tweets Analyzed:3,191
- Avg Likes per Tweet:2,158.7
- Avg Retweets per Tweet:117.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,191 tweetsThe account averages 89,402 likes and 8,509 retweets per tweet, indicating strong audience interaction. Content that highlights dramatic moments or standout performances tends to perform best.
2,158.7
Avg Likes/Tweet
117.0
Avg Retweets/Tweet
6,888,301
Total Likes
373,306
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
629
Median Likes
24
Median Retweets
1,718
75th Percentile
212,740
Top Tweet
1.41
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
88.1%
Original
9.8%
Replies
1.4%
Retweets
0.7%
Quotes
0.0%
Threads
0.5%
With Media
90.5%
With Links
90.9%
With #Tags
11.6%
With @Mentions
58.1%
With Emojis
123
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.11
Reply/Original Ratio
0.49
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
48.0%
Weekday Posts
52.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,191 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 45 retweets (1% 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 3,191 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 is primarily Formula 1 fans, likely from the United States and around the world, interested in race updates and driver performances. They engage with content that highlights exciting moments and key events.
Below Average
Audience Quality
36.3%
Suspicion Index
54.9%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
63.1%
Empty Bio
57.5%
<10 Tweets
2.3%
Mass Following (>2K)
0.0%
New (<90 days)
72.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.8%
No URL
46.7%
<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.
7,207,471
Total Potential Reach
4
Median Follower Reach
22
75th Percentile Reach
1.4%
>1K followers
0.1%
>10K followers
0.0%
>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).
24.5%
Creators
12,261 accounts
18.0%
Consumers
8,979 accounts
57.5%
Dormant
28,760 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):
357
Verified Followers
0.36% of total
11,084
Protected Accounts
11.08% of total
3 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 |
|---|---|---|---|
| @HulkHulkenberg | 1,186,770 | Racing Driver | Formula 1, Racing, Le Mans |
| @muyskerm | 651,893 | Gamer | Gaming, Podcasts, Partnerships |
| @FFLose | 364,887 | Sports Satirist | Sports, Autodérision, Bible |
| @thomaspower | 288,420 | Entrepreneur | AI, Bitcoin, Climate |
| @ConorSketches | 258,950 | Impressionist | GOLF, FOOTBALL, GAA |
| @f1trolls_ | 200,289 | - | - |
| @BrasilCloser | 154,445 | - | - |
| @EdwardTHardy | 153,205 | Political commentator | Politics, Journalism, Podcasting |
| @MSweetwood | 146,296 | Entrepreneur | Photography, Coaching, Leadership |
| @alexyoong | 136,757 | Racing Driver | Alister, Storytelling, Motorsport |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
37,693
Followers With Bio
62,307
Followers Without Bio
37.69%
% With Bio
62.31%
% 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 3,191 analyzed606,161
Combined Engagement
561,051
Total Likes
45,110
Total Retweets
121,232
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
OH MY WORD 😱😱😱😱 POLE POSITION KEVIN MAGNUSSEN!!!! https://t.co/NilZC8Xacb
We feel the need, the need for speed! 💨 #HaasF1 #AustrianGP https://t.co/z0d7yLG0ke
It didn’t last long but that looked good 😍 https://t.co/87l3aqcN8j
Welcome to the world #VF23 ❤️🤍🖤 #HaasF1 #MoneyGramDrivesYou https://t.co/zWNMCmbBAX
Us too 👀 https://t.co/hEUwD8BwUB
Key Insights & Takeaways
The account focuses on high-energy, emotionally charged moments like pole positions and race highlights. It uses hashtags and emojis to enhance engagement and relatability. Content is tailored to appeal to fans of specific drivers and races, fostering a sense of community.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,615,773
- + 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 @HaasF1Team reveals an exceptionally influential Twitter presence with 1,615,773 followers. The account demonstrates a content-creator strategy, averaging 2,275.7 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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