Andrea Iannone
MotoGP rider https://www.facebook.com/unsupportedbrowser https://www.facebook.com/unsupportedbrowser
255,416
Followers
370
Following
4,363
Tweets
68.9
Avg Engagement
1,415
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @andreaiannone29'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:2011-03-20
- Verification:No
- Location:Italia
Data Summary
- Tweets Analyzed:3,136
- Avg Likes per Tweet:44.6
- Avg Retweets per Tweet:24.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,136 tweetsHis tweets typically receive high engagement with an average of 2,250 likes and 655 retweets.
44.6
Avg Likes/Tweet
24.3
Avg Retweets/Tweet
139,734
Total Likes
76,198
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
10
Median Retweets
66
75th Percentile
7,045
Top Tweet
0.27
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
45.1%
Original
16.1%
Replies
38.8%
Retweets
0.0%
Quotes
0.0%
Threads
0.2%
With Media
57.2%
With Links
41.5%
With #Tags
62.9%
With @Mentions
27.0%
With Emojis
98
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.36
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.2%
Weekday Posts
30.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,136 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 1,216 retweets (39% 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 3,136 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 fans, fellow riders, and fans of his personality and humor.
Average
Audience Quality
31.0%
Suspicion Index
38.7%
Low-Quality %
12
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
51.2%
Empty Bio
37.6%
<10 Tweets
8.2%
Mass Following (>2K)
0.0%
New (<90 days)
69.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.9%
No URL
26.3%
<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.
27,843,554
Total Potential Reach
12
Median Follower Reach
64
75th Percentile Reach
2.2%
>1K followers
0.3%
>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).
39.3%
Creators
19,661 accounts
23.0%
Consumers
11,519 accounts
37.6%
Dormant
18,820 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):
86
Verified Followers
0.09% of total
11,138
Protected Accounts
11.14% of total
7 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 | 14,101,116 | Wrestler | Wrestling, Motivation, Self-promotion |
| @SkySport | 2,973,250 | Sports Media | Sports, Teams, Passion |
| @6BillionPeople | 2,034,936 | - | - |
| @Fiorello | 1,390,968 | Entertainer | food, humor, Sicilian culture |
| @Simo_Ventura | 1,076,937 | TV Presenter | Movies, TV, Music |
| @SABreakingNews | 950,633 | News Outlet | News, South Africa, Breaking |
| @GettySport | 882,693 | Photographer | sports, photography, news |
| @TylerFlorence | 635,148 | Chef | Cooking, Filmmaking, Creative Agency |
| @chetempochefa | 556,870 | - | - |
| @VStaffelli | 523,807 | Entertainment Journalist | Anchorman, Actor, Producer |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
47,074
Followers With Bio
52,926
Followers Without Bio
47.07%
% With Bio
52.93%
% 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 3,136 analyzed19,527
Combined Engagement
15,312
Total Likes
4,215
Total Retweets
3,905
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
Humble, funny, professional, strong. You were really a good guy!! You will miss Nicky!! 😢🙏 #wewillneverforget #kentuckykid #maniac #ai29 https://t.co/tY83uOTxpo
#Misano, will not be the same without you! #GetWellSoon my friend, waiting for you on the track! @valeyellow46 💪🤞🙏 #maniac #ai29 https://t.co/a6SDVk9lJ4
Non mollare amico mio!! 💪😢 Don't give up my friend! #gonicky 🤞 #maniac #ai29 https://t.co/XQEC9ng3Li
A SMALL think for a friend with BIG heart. Dedicated to you! Bye Nicky! 🙏 #rideonkentuckykid #dainesecrew #agvrider #maniac #ai29 https://t.co/hqHw1hi1Ld
El mejor, ciao Angel! ❤️ https://t.co/zHDvVBgDca
Key Insights & Takeaways
He often shares emotional and personal messages, which resonate strongly with his followers. He uses hashtags effectively to connect with his community and promote his brand. His content balances professionalism with a friendly and approachable demeanor.
Strengths
- + Established follower base of 255,416
- + 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 @andreaiannone29 reveals an growing Twitter presence with 255,416 followers. The account demonstrates a content-creator strategy, averaging 68.9 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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