Diego Forlán
Uruguayo ⚽️🇺🇾
4,980,958
Followers
210
Following
2,114
Tweets
1,216.3
Avg Engagement
18,346
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DiegoForlan7'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:2010-04-06
- Verification:No
- Location:Montevideo, Uruguay
Data Summary
- Tweets Analyzed:2,066
- Avg Likes per Tweet:969.7
- Avg Retweets per Tweet:246.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,066 tweetsHis tweets receive high engagement with an average of 68,835 likes and 7,010 retweets per post. The content is well-received and widely shared.
969.7
Avg Likes/Tweet
246.6
Avg Retweets/Tweet
2,003,366
Total Likes
509,409
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
33
Median Likes
62
Median Retweets
520
75th Percentile
283,000
Top Tweet
0.24
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
68.6%
Original
11.0%
Replies
19.7%
Retweets
0.7%
Quotes
0.0%
Threads
0.2%
With Media
58.9%
With Links
23.0%
With #Tags
44.3%
With @Mentions
27.0%
With Emojis
94
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.16
Reply/Original Ratio
0.03
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.6%
Weekday Posts
26.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,066 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 407 retweets (20% 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 2,066 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 is primarily football fans and followers of his personal journey. The content appeals to both fans of his career and general social media users.
Average
Audience Quality
32.7%
Suspicion Index
38.8%
Low-Quality %
16
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
50.0%
Empty Bio
40.5%
<10 Tweets
11.0%
Mass Following (>2K)
0.0%
New (<90 days)
72.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.7%
No URL
27.6%
<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.
56,979,494
Total Potential Reach
16
Median Follower Reach
88
75th Percentile Reach
2.8%
>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).
36.9%
Creators
18,434 accounts
22.6%
Consumers
11,310 accounts
40.5%
Dormant
20,256 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):
213
Verified Followers
0.21% of total
7,969
Protected Accounts
7.89% of total
3 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 |
|---|---|---|---|
| @ImRaina | 20,925,665 | Cricketer | Cricket, Co-Founder, Care |
| @JohnCena | 14,106,270 | Wrestler | Wrestling, Motivation, Self-promotion |
| @fifaworldcup_es | 2,900,645 | Sports Event | Soccer, World Cup, Official Account |
| @barcagameryt | 2,341,440 | Content Creator | Gaming, Esports, Streaming |
| @IanWright0 | 2,282,665 | Footballer | Football, Podcasting, Writing |
| @sportbible | 2,079,599 | Sports Media | Sport, Lifestyle, Entertainment |
| @VLADDO | 1,372,997 | Multifacético | Actualidad, columnista, caricaturista |
| @VHMok | 1,022,953 | Journalist | Politics, Radio, Sports |
| @libermanmartin | 847,907 | Periodista | familia, amigos, running |
| @EASPORTSEsp | 669,116 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
56,132
Followers With Bio
44,867
Followers Without Bio
55.58%
% With Bio
44.42%
% 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 2,066 analyzed733,260
Combined Engagement
686,037
Total Likes
47,223
Total Retweets
146,652
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
😉 https://t.co/Xbiupmiwo9
😍⚽️ https://t.co/PwuskfY86Z
Como en los viejos tiempos 😉 https://t.co/rcXQfTQpzb
Luego de 21 años tomé la decisión de poner fin a mi carrera como futbolista profesional. Se cierra una linda etapa llena de grandes recuerdos y emociones pero comenzará otra de nuevos desafíos. ¡Gracias a todos los que de una u otra manera me acompañaron en este camino! 👋🏼 🔟 ht
Los Ángeles, @ManUtd, estilo retro, lentes Maui Jim, no sé, vos ves 🤣 #IloveUnited https://t.co/uTSE2gLSr7
Key Insights & Takeaways
His personal reflections and career milestones resonate strongly with his audience He maintains a balance between professional and personal content His decision to retire was a significant moment that generated emotional responses
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 4,980,958
- + 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 @DiegoForlan7 reveals an exceptionally influential Twitter presence with 4,980,958 followers. The account demonstrates a content-creator strategy, averaging 1,216.3 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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