Edi Cavani Official
Twitter oficial de Edinson Cavani. Jugador de CA Boca Juniors
2,740,986
Followers
55
Following
2,333
Tweets
3,550.6
Avg Engagement
3,551
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ECavaniOfficial'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: Mega Influencer (1M+)
- Account Age:2011-06-01
- Verification:No
- Location:Salto, Uruguay
Data Summary
- Tweets Analyzed:2,290
- Avg Likes per Tweet:3,198.2
- Avg Retweets per Tweet:352.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,290 tweetsCavani's tweets receive significant engagement, suggesting a loyal and active fan base. The high average likes and retweets indicate that his content is well-received and widely shared.
3,198.2
Avg Likes/Tweet
352.5
Avg Retweets/Tweet
7,323,774
Total Likes
807,193
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
300
Median Likes
127
Median Retweets
3,147
75th Percentile
230,599
Top Tweet
1.3
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
95.5%
Original
1.2%
Replies
2.5%
Retweets
0.8%
Quotes
0.0%
Threads
0.8%
With Media
87.3%
With Links
48.9%
With #Tags
21.1%
With @Mentions
28.7%
With Emojis
108
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.01
Reply/Original Ratio
0.31
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67.9%
Weekday Posts
32.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,290 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 58 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 2,290 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 followersThe audience is primarily football fans, especially those interested in Cavani's career and his association with Boca Juniors. The content is likely appealing to both Argentine and international supporters.
Below Average
Audience Quality
39.6%
Suspicion Index
53.1%
Low-Quality %
5
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
64.3%
Empty Bio
59.9%
<10 Tweets
3.6%
Mass Following (>2K)
0.0%
New (<90 days)
83.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.9%
No URL
41.9%
<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.
25,503,499
Total Potential Reach
5
Median Follower Reach
23
75th Percentile Reach
0.9%
>1K followers
0.1%
>10K followers
0.0%
>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).
16.4%
Creators
8,178 accounts
23.8%
Consumers
11,888 accounts
59.9%
Dormant
29,934 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):
110
Verified Followers
0.11% of total
6,102
Protected Accounts
6.1% of total
2 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 | 14,106,059 | Wrestler | Wrestling, Motivation, Self-promotion |
| @LaLiga | 11,566,842 | Sports League | Football, Soccer, International |
| @fifaworldcup_es | 2,900,693 | Sports Event | Soccer, World Cup, Official Account |
| @LaLigaEN | 2,187,806 | Sports Media | Football, La Liga, International |
| @LaLigaArab | 1,933,610 | Sports Media | Football, Sports, International |
| @As_TomasRoncero | 1,752,413 | Journalist | Real Madrid, Deportes, Periodismo |
| @valenciacf | 1,368,357 | Football Club | Football, Sports, Future |
| @RonaldAraujo_4 | 828,539 | Footballer | Football, Barcelona, Uruguay |
| @NOH8Campaign | 801,909 | Activism | equality, bullying, discrimination |
| @PlayersTribune | 644,248 | Sports Media | Sports, Olympics, Athletes |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
42,698
Followers With Bio
57,302
Followers Without Bio
42.7%
% With Bio
57.3%
% 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 2,290 analyzed670,802
Combined Engagement
620,343
Total Likes
50,459
Total Retweets
134,160
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
100%
With Links
Topical Analysis:
https://t.co/P4TwyWPQ3N
🏹…? https://t.co/2nbVH9tbWl
ORGULLOSO de defender esta camiseta... PROUD to defend this jersey... @ManUtd 🤝 https://t.co/Pz0fwaAEZL
Con mucho trabajo pudimos ganar un partido muy difícil, a seguir trabajando muchachos! 💪 With a lot of effort we won a difficult game, let's keep working hard lads! 💪 🔴 #MUFC @ManUtd @premierleague #SOUMUN https://t.co/CT7LwYs83u
💪🏹⚽️ @ManUtd https://t.co/gVjbUX6SBC
Key Insights & Takeaways
The account is highly engaged with a large and active fan base. Cavani's tweets often include personal pride and team-related content. There is a mix of Spanish and English content, indicating a bilingual audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 2,740,986
- + 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 @ECavaniOfficial reveals an exceptionally influential Twitter presence with 2,740,986 followers. The account demonstrates a content-creator strategy, averaging 3,550.6 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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