CRUZ AZUL
9️⃣ veces Campeón de Liga. Un sentimiento que no morirá.
2,107,196
Followers
131
Following
59,254
Tweets
1,096.2
Avg Engagement
2,966
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @CruzAzul'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:2009-07-11
- Verification:No
- Location:Ciudad de México
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:1,034.8
- Avg Retweets per Tweet:61.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account sees a high average number of likes and retweets, indicating strong fan interaction. The content is well-received and widely shared among followers.
1,034.8
Avg Likes/Tweet
61.4
Avg Retweets/Tweet
3,362,955
Total Likes
199,635
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
554
Median Likes
32
Median Retweets
1,392
75th Percentile
24,874
Top Tweet
0.52
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
79.5%
Original
9.5%
Replies
7.4%
Retweets
3.6%
Quotes
0.0%
Threads
0.0%
With Media
71.1%
With Links
37.3%
With #Tags
26.2%
With @Mentions
61.9%
With Emojis
88
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.12
Reply/Original Ratio
0.48
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
51.6%
Weekday Posts
48.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 241 retweets (7% 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 3,250 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 primary audience consists of passionate football fans, particularly supporters of Club América. The audience is likely from Mexico and other Spanish-speaking countries.
Below Average
Audience Quality
43.3%
Suspicion Index
66.5%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
75.8%
Empty Bio
69.5%
<10 Tweets
2.7%
Mass Following (>2K)
0.0%
New (<90 days)
84.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.5%
No URL
57.2%
<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.
23,154,456
Total Potential Reach
1
Median Follower Reach
7
75th Percentile Reach
0.9%
>1K followers
0.2%
>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).
14.9%
Creators
7,466 accounts
15.6%
Consumers
7,792 accounts
69.5%
Dormant
34,742 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
7,522
Protected Accounts
7.52% 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 | 14,105,510 | Wrestler | Wrestling, Motivation, Self-promotion |
| @AztecaDeportes | 3,275,243 | Sports Media | Futbol, Boxeo, Lucha libre |
| @JoseAMeadeK | 1,599,977 | Politician | Family, Economics, Law |
| @Moreno | 430,174 | Influencer | Business, Manager, Serious |
| @conquerer1 | 237,695 | Entertainer | MUSIC, AWARDS, CELEBRITIES |
| @jorcervan | 237,645 | Writer | Mythology, Self-discovery, Openness |
| @clauok10 | 202,892 | - | - |
| @ElCanalDFutbol | 200,043 | Sports Media | Football, Ecuador, Copa Ecuador |
| @liebano | 191,457 | Lawyer | Law, Politics, Research |
| @funesmoriofi25 | 189,965 | Footballer | River Plate, Everton FC, Villarreal CF |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
32,259
Followers With Bio
67,741
Followers Without Bio
32.26%
% With Bio
67.74%
% 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 3,250 analyzed103,047
Combined Engagement
91,942
Total Likes
11,105
Total Retweets
20,609
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
Marcador final. https://t.co/WYaVonvqc8
Sabemos que vienes a darlo todo, ¡caghajo! ¡Bienvenido, “Tuca”! 👨🏻 #AzulDePorVida https://t.co/Lm1kA42zLw
Comunicado Oficial. https://t.co/4WbOosdXcm
Qué gusto nos da verte cumplir un sueño, @Santigim9. 🥲 Hoy te decimos adiós, pero te seguiremos a todos lados. 💙 Recuerda que eres #AzulDePorVida https://t.co/mQHDCdNIZW
¡Gracias por todo, Santi! #AzulDePorVida. https://t.co/4EqDGVMQX2
Key Insights & Takeaways
The account frequently shares match results and highlights, which drives engagement. It uses hashtags and emojis to create a sense of community and excitement. The content is often linked to official announcements and player welcomes, reinforcing club identity.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 2,107,196
- + 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 @CruzAzul reveals an exceptionally influential Twitter presence with 2,107,196 followers. The account demonstrates a content-creator strategy, averaging 1,096.2 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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