Antonio Pizzonia
Professional racing car driver, former @F1 driver. 4 wheels and a steering wheel...
229.829
Followers
429
Following
29.106
Tweets
19,2
Avg Engagement
1.733
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @AntonioPizzonia'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:2009-06-22
- Verification:No
- Location:Brazil
Data Summary
- Tweets Analyzed:3.193
- Avg Likes per Tweet:2,1
- Avg Retweets per Tweet:17,1
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.193 tweetsHis tweets receive an average of 75 likes and 88 retweets, indicating a moderately engaged audience that interacts with his content regularly.
2,1
Avg Likes/Tweet
17,1
Avg Retweets/Tweet
6.707
Total Likes
54.471
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
2
75th Percentile
43.173
Top Tweet
0,08
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
38,4%
Original
59,0%
Replies
2,5%
Retweets
0,1%
Quotes
0,0%
Threads
0,2%
With Media
18,6%
With Links
19,4%
With #Tags
68,2%
With @Mentions
7,3%
With Emojis
68
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1,54
Reply/Original Ratio
0,04
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
62,7%
Weekday Posts
37,3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.193 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 81 retweets (3% 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 3.193 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 followersHis audience includes motorsport enthusiasts and fans of his personal life, with a focus on younger demographics interested in sports and celebrity culture.
Average
Audience Quality
25,3%
Suspicion Index
27,2%
Low-Quality %
44
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40,9%
Empty Bio
41,1%
<10 Tweets
4,0%
Mass Following (>2K)
0,0%
New (<90 days)
47,6%
Low Ratio (<0.1)
0,0%
New (<180 days)
74,8%
No URL
13,6%
<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.
28.820.408
Total Potential Reach
44
Median Follower Reach
199
75th Percentile Reach
3,3%
>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).
40,5%
Creators
20.254 accounts
18,4%
Consumers
9.198 accounts
41,1%
Dormant
20.548 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):
37
Verified Followers
0.04% of total
4.416
Protected Accounts
4.37% of total
11 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 |
|---|---|---|---|
| @Variety | 2.911.424 | Entertainment industry | Entertainment, Business, Variety |
| @Oficial_RC3 | 2.496.968 | Sports Director | Real Madrid, Ambassador, UEFA Youth League |
| @BeatsByAssassin | 2.262.724 | Multitalented | Actor, Director, Rapper |
| @Domingo_Legal | 1.444.182 | TV Host | Entertainment, TV show, Host |
| @thewanted | 1.364.708 | Musician | Music, Band, GlowInTheDark |
| @MassaFelipe19 | 1.244.221 | Race Car Driver | Stock Car, Podium, Racing |
| @LeBronJames | 1.004.897 | - | - |
| @drangelocarbone | 734.684 | - | - |
| @RicaPerrone | 690.285 | - | - |
| @ericschiffer | 688.657 | CEO | business, media, author |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
64.291
Followers With Bio
36.707
Followers Without Bio
63.66%
% With Bio
36.34%
% 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 3.193 analyzed53.319
Combined Engagement
4.330
Total Likes
48.989
Total Retweets
10.664
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @consequence: Taylor Hawkins' 16-year-old son, Shane, does his father proud as he sits behind the kit for @FooFighters' performance of "…
@andrekenzo11 Ex-piloto de F1 serve? TMJ #Yadinho #Yadinhoday
RT @OMGFacts: You're more likely to die from a vending machine than win the $640 million Mega Millions jackpot tonight
RT @IndyCar: Donations can be made to Justin's children via: Wilson Children's Fund, c/o INDYCAR, 4551 W. 16th St., Indianapolis, IN 46222.…
RT @Castrol: Highest #TopSpeed in #F1 history? Powered by #BMW & #Castrol, driven by @AntonioPizzonia in Monza 2004: 369.9 km/h! http://t.c…
Key Insights & Takeaways
His content is heavily focused on personal milestones and family, which helps build a closer connection with followers. He frequently uses hashtags like #YADINHO and #YADINHODAY, which may be a personal or brand identifier, suggesting a unique content strategy. His engagement is consistent, indicating a loyal and active follower base that values his updates.
Strengths
- + Established follower base of 229.829
- + High community engagement through conversations
- + 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 @AntonioPizzonia reveals an growing Twitter presence with 229.829 followers. The account demonstrates a conversation-first approach, averaging 19,2 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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