Sandro Cortese
Moto2 Rider from Germany
54,171
Followers
284
Following
2,820
Tweets
164.1
Avg Engagement
514
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Sandrissimo11'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:2011-05-02
- Verification:No
- Location:Germany - Berkheim
Data Summary
- Tweets Analyzed:2,796
- Avg Likes per Tweet:11.2
- Avg Retweets per Tweet:152.9
- Followers Analyzed:10,000
Engagement Analysis
Based on 2,796 tweetsThe account has a moderate engagement rate, with an average of 420 likes and 151 retweets per tweet, indicating a dedicated but not extremely active follower base.
11.2
Avg Likes/Tweet
152.9
Avg Retweets/Tweet
31,351
Total Likes
427,610
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
2
Median Retweets
21
75th Percentile
173,506
Top Tweet
3.03
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
63.0%
Original
21.3%
Replies
15.6%
Retweets
0.1%
Quotes
0.0%
Threads
0.5%
With Media
51.7%
With Links
24.7%
With #Tags
53.4%
With @Mentions
28.0%
With Emojis
81
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.34
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.0%
Weekday Posts
30.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,796 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 437 retweets (16% 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 2,796 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 10,000 followersThe audience appears to be motorsport enthusiasts, particularly fans of Moto2 and related racing series, as well as fellow riders and teams.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
21
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.5%
No URL
100.0%
<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.
4,371,985
Total Potential Reach
21
Median Follower Reach
103
75th Percentile Reach
3.1%
>1K followers
0.5%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
1,140
Protected Accounts
11.4% 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 |
|---|---|---|---|
| @DAZN_ES | 378,780 | Streaming Sports | Deportes, Directo, Bajo demanda |
| @WorldSBK | 295,587 | - | - |
| @KOMINERT | 224,371 | Talent Agent | Music Promotion, Talent Agents, RnB/Soul |
| @afhitcom | 182,646 | Social Media Manager | Social Media, Marketing, Window Cleaning |
| @jonathanrea | 170,022 | Motorcycle racer | Motorcycles, Family, Achievements |
| @ECIDOL_ | 154,483 | YouTuber | Youtuber, Singer, Travel |
| @DAZN_DE | 152,681 | Sports Commentator | Football, Sports, Entertainment |
| @SportYou | 131,772 | Sports Media | Deporte, vivir, manera |
| @MCNnews | 122,837 | Journalist | Motorcycles, News, Riding |
| @eugenelaverty | 102,708 | Motorcycle racer | Motorbikes, Racing, Sponsorships |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,399
Followers With Bio
4,601
Followers Without Bio
53.99%
% With Bio
46.01%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 2,796 analyzed365,723
Combined Engagement
0
Total Likes
365,723
Total Retweets
73,145
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @missnemmanuel: “Dracarys”
RT @AMAZlNGNATURE: -First jump!! 😍🦆🦆🦆🦆🦆🦆🦆🦆🦆🦆🦆🦆🦆 https://t.co/0xwGAyOH9U
RT @rogerfederer: 1️⃣8️⃣🏆 https://t.co/Ap8aZGhBNf
RT @alo_oficial: #ForzaJules . Vamos amigo.
RT @FCBayernEN: Official: #FCBayern have signed Robert Lewandowski (25)! The striker has signed a 5-year contract until 2019. More soon on FCB.de
Key Insights & Takeaways
The user frequently shares personal achievements and milestones, which helps in building a connection with the audience. Collaborations and mentions of other riders and teams suggest a network within the motorsport community. The use of emojis and expressive language adds a personal and emotional touch to the tweets.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 54,171
- + 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 @Sandrissimo11 reveals an well-established Twitter presence with 54,171 followers. The account demonstrates a content-creator strategy, averaging 164.1 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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