Marco Belinelli
562,528
Followers
435
Following
7,739
Tweets
598.6
Avg Engagement
1,489
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @marcobelinelli'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:2009-11-10
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,231
- Avg Likes per Tweet:183.6
- Avg Retweets per Tweet:415.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,231 tweetsHis tweets receive an average of 13,637 likes and 3,143 retweets, showing high engagement. The top tweets include personal announcements and sports-related endorsements, which likely drive interaction.
183.6
Avg Likes/Tweet
415.0
Avg Retweets/Tweet
593,111
Total Likes
1,340,951
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
10
Median Retweets
152
75th Percentile
135,276
Top Tweet
1.06
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
36.6%
Original
7.6%
Replies
55.0%
Retweets
0.7%
Quotes
0.0%
Threads
2.3%
With Media
69.9%
With Links
43.3%
With #Tags
73.9%
With @Mentions
24.1%
With Emojis
92
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.21
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.2%
Weekday Posts
23.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,231 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 1,777 retweets (55% 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 3,231 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 likely includes basketball fans, fellow athletes, and sports enthusiasts who follow his career and personal life. The verified status of 0.2% suggests a mix of public figures and general followers.
Average
Audience Quality
34.8%
Suspicion Index
47.1%
Low-Quality %
7
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
57.3%
Empty Bio
48.1%
<10 Tweets
7.3%
Mass Following (>2K)
0.0%
New (<90 days)
73.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.0%
No URL
36.9%
<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.
24,777,554
Total Potential Reach
7
Median Follower Reach
51
75th Percentile Reach
2.2%
>1K followers
0.3%
>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).
34.0%
Creators
17,006 accounts
17.9%
Consumers
8,958 accounts
48.1%
Dormant
24,036 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):
228
Verified Followers
0.23% of total
5,664
Protected Accounts
5.61% 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 |
|---|---|---|---|
| @manuginobili | 4,765,667 | Basketball Advisor | Basketball, Argentina, Spurs |
| @JoelEmbiid | 2,147,510 | Athlete | - |
| @KameronBennett | 1,812,223 | DJ | Music, DJing, Booking |
| @Ronnie2K | 1,518,688 | Gaming Influencer | NBA, News, Giveaways |
| @nicolas88batum | 1,016,221 | Basketball Player | Basketball, Jordan, Clippers |
| @ZachLowe_NBA | 977,740 | Sports Journalist | NBA, Basketball, Analysis |
| @aldridge_12 | 730,007 | Basketball Player | Basketball, Family, Fashion |
| @hidoturkoglu15 | 693,009 | Basketball Executive | Basketball, Politics, Leadership |
| @EuroLeague | 628,218 | Sports Organization | Basketball, Europe, Competition |
| @IamMzilikazi | 546,154 | Musician | Pan-African music, Album, Rise |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
32,198
Followers With Bio
68,800
Followers Without Bio
31.88%
% With Bio
68.12%
% 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 3,231 analyzed438,153
Combined Engagement
0
Total Likes
438,153
Total Retweets
87,631
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @wojespn: The NBA has suspended the season.
RT @TheNotoriousMMA: Good knock. Looking forward to the rematch.
RT @BleacherReport: Shaq reflects on Kobe. (via @NBAonTNT) https://t.co/BXgDiJ1L0u
RT @norm: 11-year-old girl's reaction after learning she's been adopted. In a world which negative news takes precedence, I hope this bring…
RT @BleacherReport: Vanessa Bryant remembers Kobe: “Babe, take care of our Gigi. And I got Nani, Bibi and Coco. We’re still the best team.”…
Key Insights & Takeaways
High follower count indicates significant popularity and influence in the sports space. Engagement metrics suggest his content resonates well with his audience. Top tweets often include personal updates and sports-related links, which may be key to his engagement strategy.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 562,528
- + 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 @marcobelinelli reveals an well-established Twitter presence with 562,528 followers. The account demonstrates a content-creator strategy, averaging 598.6 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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