Ferrari Hypercar
The official home of #FerrariHypercar 🇮🇹 #WEC History. Innovation. Legacy. The 5⃣0⃣ year wait is over. Discover the #Ferrari499P👇
55639
Followers
12
Following
818
Tweets
1220,4
Avg Engagement
312
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @FerrariHypercar'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:2022-07-29
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:243
- Avg Likes per Tweet:1101,4
- Avg Retweets per Tweet:118,9
- Followers Analyzed:32570
Engagement Analysis
Based on 243 tweetsThe account consistently receives high likes and retweets, indicating strong audience interaction. Its tweets are often visually striking and include relevant hashtags to boost visibility.
1101,4
Avg Likes/Tweet
118,9
Avg Retweets/Tweet
267649
Total Likes
28903
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
304
Median Likes
36
Median Retweets
919
75th Percentile
35123
Top Tweet
21,93
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
60,9%
Original
28,8%
Replies
9,5%
Retweets
0,8%
Quotes
0,0%
Threads
0,8%
With Media
58,4%
With Links
71,6%
With #Tags
56,8%
With @Mentions
80,2%
With Emojis
117
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0,47
Reply/Original Ratio
0,09
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75,7%
Weekday Posts
24,3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 243 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 23 retweets (9% 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 243 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 32570 followersThe audience is likely motorsport enthusiasts, Ferrari fans, and automotive aficionados interested in high-performance vehicles. They are engaged with content that highlights innovation and legacy.
Average
Audience Quality
22,6%
Suspicion Index
26,8%
Low-Quality %
41
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40,3%
Empty Bio
19,8%
<10 Tweets
9,6%
Mass Following (>2K)
0,0%
New (<90 days)
54,6%
Low Ratio (<0.1)
0,0%
New (<180 days)
86,2%
No URL
13,3%
<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.
45213015
Total Potential Reach
41
Median Follower Reach
154
75th Percentile Reach
4,4%
>1K followers
0,5%
>10K followers
0,2%
>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).
63,3%
Creators
20605 accounts
17,0%
Consumers
5523 accounts
19,8%
Dormant
6442 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):
77
Verified Followers
0.24% of total
3880
Protected Accounts
11.91% 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 |
|---|---|---|---|
| @JohnCena | 14106689 | Wrestler | Wrestling, Motivation, Self-promotion |
| @ScuderiaFerrari | 4479939 | Racing | Racing, Motorsport, Innovation |
| @verified | 4201230 | - | - |
| @PorscheRaces | 1716193 | Motorsport | Motorsport, Porsche, GT |
| @fia | 1208650 | Motorsport | motorsport, mobility, news |
| @Ferrari | 1095993 | Automotive | Luxury cars, Italian heritage, Dreaming |
| @LeBronJames | 1006959 | - | - |
| @iownjd | 780695 | Lawyer | learn, inspire, engage |
| @wbuxtonofficial | 583834 | Broadcaster | Formula 1, Broadcasting, Journalism |
| @autosport | 545265 | Motorsport journalism | Motorsport, News, Analysis |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
19441
Followers With Bio
13129
Followers Without Bio
59.69%
% With Bio
40.31%
% 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 243 analyzed89338
Combined Engagement
80828
Total Likes
8510
Total Retweets
17868
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
That’s HOT! 🤩🔥 Sum this up in three words… #FerrariHypercar #WEC https://t.co/3ZxZMWzKy2
👀Coming out of the shadows! ⏰ 9.50PM CEST #FerrariHypercar #WEC https://t.co/d3mYI3KllG
The Ferrari 499P is a beauty! 🤩 #FerrariHypercar #WEC https://t.co/TyeKdxW9CH
Almost time... 👀 #FerrariHypercar #WEC https://t.co/nsuQZRKfxs
🏎💨 Continuing our Endurance racing legacy in 2023 #FerrariHypercar #WEC #Ferrari499P https://t.co/DqRYDBEmXP
Key Insights & Takeaways
High engagement suggests a passionate and active audience interested in Ferrari's motorsport ventures. Content focusing on the Ferrari 499P and WEC events drives significant interaction. Use of visually appealing tweets and hashtags enhances visibility and audience connection.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 55639
- + 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 @FerrariHypercar reveals an exceptionally influential Twitter presence with 55639 followers. The account demonstrates a content-creator strategy, averaging 1220,4 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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