COPA90 US
Fluent in the universal language ⚽️
407,857
Followers
1,589
Following
49,085
Tweets
177.2
Avg Engagement
1,126
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Copa90US'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:2012-02-06
- Verification:No
- Location:New York, NY
Data Summary
- Tweets Analyzed:3,196
- Avg Likes per Tweet:59.6
- Avg Retweets per Tweet:117.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,196 tweetsCopa90US achieves high engagement through a mix of humor, viral challenges, and team-related content. The average likes and retweets per tweet indicate a strong and active community.
59.6
Avg Likes/Tweet
117.7
Avg Retweets/Tweet
190,398
Total Likes
376,022
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
27
Median Likes
4
Median Retweets
80
75th Percentile
162,953
Top Tweet
0.43
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
70.2%
Original
14.7%
Replies
9.9%
Retweets
5.2%
Quotes
0.0%
Threads
0.1%
With Media
84.3%
With Links
38.8%
With #Tags
65.3%
With @Mentions
69.7%
With Emojis
106
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.21
Reply/Original Ratio
0.52
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.9%
Weekday Posts
22.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,196 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 318 retweets (10% 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 3,196 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 is football fans, particularly those interested in MLS, Liga MX, and international football. The content appeals to both casual and passionate supporters.
Average
Audience Quality
33.5%
Suspicion Index
44.8%
Low-Quality %
10
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
51.5%
Empty Bio
48.8%
<10 Tweets
9.9%
Mass Following (>2K)
0.0%
New (<90 days)
65.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.1%
No URL
38.0%
<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.
81,046,524
Total Potential Reach
10
Median Follower Reach
116
75th Percentile Reach
4.7%
>1K followers
0.8%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
37.7%
Creators
18,873 accounts
13.4%
Consumers
6,716 accounts
48.8%
Dormant
24,411 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):
629
Verified Followers
0.63% of total
6,151
Protected Accounts
6.15% 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 |
|---|---|---|---|
| @JohnCena | 14,104,340 | Wrestler | Wrestling, Motivation, Self-promotion |
| @ESPNFC | 8,886,021 | Sports Journalist | Football, Global Coverage, Soccer |
| @goal | 8,185,861 | Football Analyst | football, news, insight |
| @luisnani | 3,896,968 | Footballer | Football, Champion, Winner |
| @Cooperativa | 3,448,921 | News broadcaster | Podcast, Noticias, Voz |
| @ochocinco | 3,244,167 | Researcher | Football, Gaming, Analytics |
| @sopitas | 3,242,016 | Blogger | Music, Sports, Technology |
| @SkySport | 2,973,259 | Sports Media | Sports, Teams, Passion |
| @UEFA | 2,331,071 | Football | Football, EqualGame, Official |
| @LaLigaEN | 2,196,200 | Sports Media | Football, La Liga, International |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
39,606
Followers With Bio
60,394
Followers Without Bio
39.61%
% With Bio
60.39%
% 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 3,196 analyzed324,060
Combined Engagement
0
Total Likes
324,060
Total Retweets
64,812
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @KMbappe: MY LOVE 💍 https://t.co/Ut72cZTLWU
RT @AntoGriezmann: CHAMPIONS DU MONDE. Vive la France 🇫🇷⭐⭐ https://t.co/YI3bGeHr5e
RT @Pele: If Kylian keeps equalling my records like this I may have to dust my boots off again... // Se o @KMbappe continuar a igualar os m…
RT @KMbappe: Quel plaisir de m’entretenir longuement avec cette légende. Merci pour tous tes conseils KING 👑 @KingJames https://t.co/wMu…
RT @Ibra_official: Mickey Mouse and Goofy https://t.co/EeZvE3SdfK
Key Insights & Takeaways
The account thrives on creating shareable, humorous content that encourages user interaction. It leverages trending football moments and player highlights to boost visibility and engagement. Collaborations with teams and players help expand its reach and credibility.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 407,857
- + 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 @Copa90US reveals an well-established Twitter presence with 407,857 followers. The account demonstrates a content-creator strategy, averaging 177.2 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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