F1 Australian Grand Prix
Daniel Ricciardo & Oscar Piastri Fan Account 🇦🇺 21-24 March, 2024 🏎️ #AusGP
121,338
Followers
1,365
Following
18,551
Tweets
377.5
Avg Engagement
2,013
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ausgrandprix'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:2009-12-16
- Verification:No
- Location:Melbourne
Data Summary
- Tweets Analyzed:3,200
- Avg Likes per Tweet:336.0
- Avg Retweets per Tweet:41.5
- Followers Analyzed:9,998
Engagement Analysis
Based on 3,200 tweetsThe account shows high engagement with an average of 16,556 likes and 1,054 retweets per tweet. The content is well-received, with a mix of promotional, celebratory, and personal posts driving interaction.
336.0
Avg Likes/Tweet
41.5
Avg Retweets/Tweet
1,075,232
Total Likes
132,698
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
57
Median Likes
4
Median Retweets
177
75th Percentile
30,726
Top Tweet
3.11
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
66.8%
Original
25.0%
Replies
2.5%
Retweets
5.8%
Quotes
0.0%
Threads
0.5%
With Media
78.5%
With Links
72.1%
With #Tags
66.5%
With @Mentions
73.8%
With Emojis
128
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.37
Reply/Original Ratio
2.35
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.4%
Weekday Posts
25.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,200 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 79 retweets (2% 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 3,200 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 9,998 followersThe primary audience is likely Formula 1 fans, particularly those interested in Daniel Ricciardo and Oscar Piastri. There is also a strong interest in Australian motorsport events and culture.
Average
Audience Quality
28.0%
Suspicion Index
35.0%
Low-Quality %
20
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.0%
Empty Bio
32.6%
<10 Tweets
9.2%
Mass Following (>2K)
0.0%
New (<90 days)
62.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.5%
No URL
24.1%
<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.
18,072,909
Total Potential Reach
20
Median Follower Reach
110
75th Percentile Reach
3.9%
>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).
46.4%
Creators
4,636 accounts
21.0%
Consumers
2,100 accounts
32.6%
Dormant
3,262 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):
88
Verified Followers
0.88% of total
1,233
Protected Accounts
12.33% of total
4 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 | 14,093,663 | Wrestler | Wrestling, Motivation, Self-promotion |
| @autosport | 554,549 | Motorsport journalism | Motorsport, News, Analysis |
| @thomaspower | 287,428 | Entrepreneur | AI, Bitcoin, Climate |
| @Formula3 | 216,549 | - | - |
| @wearetherace | 133,228 | Motorsport | Motorsport, Coverage, Racing |
| @brisbanelions | 97,001 | Sports Team | Football, Membership, New Era |
| @Odyne_LaFee | 91,261 | - | - |
| @TPourchaire | 80,272 | Racing Driver | Formula 2, Racing, Believer |
| @zoelondondj | 68,079 | DJ | EDM, Rock n Roll, Eurovision |
| @7Sport | 65,215 | Sports Media | Motorsport, Surfing, NFL |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,401
Followers With Bio
4,599
Followers Without Bio
54.01%
% With Bio
45.99%
% 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 3,200 analyzed119,009
Combined Engagement
88,266
Total Likes
30,743
Total Retweets
23,802
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
Next stop, @Melbourne 🇦🇺 #AusGP #F1 https://t.co/3ZVMli8biS
RT @F1: BREAKING: Audi will join Formula 1 in 2026! #F1 https://t.co/fRnPvmSwU2
New profile pic. Felt cute might delete later. 😚 #ThanksDaniel
231 Races 🏎️ 1309 Career points 🏁 333 Shoeys 🥾 32 Podiums 🥈 8 Wins 🏆 ONE DANIEL RICCIARDO 🍯🦡 #F1 https://t.co/pUpXcvNcOT
Hey @McLarenF1, How many likes for you to change your profile pic to this? 😏 #F1 https://t.co/nCUJYlwZqs
Key Insights & Takeaways
The account is heavily focused on Formula 1 and Australian motorsport events, especially the Australian Grand Prix. It uses a mix of promotional, celebratory, and personal content to engage followers. The account has a strong sense of identity and community, with a focus on supporting and celebrating its favorite drivers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 121,338
- + 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 @ausgrandprix reveals an well-established Twitter presence with 121,338 followers. The account demonstrates a content-creator strategy, averaging 377.5 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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