Copa Ecuador Ecuabet
La nuestra, la de todos 🇪🇨
58,186
Followers
6
Following
1,782
Tweets
84.9
Avg Engagement
58
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @CopaEcuador'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: Mid-Tier (10K+)
- Account Age:2018-11-09
- Verification:No
- Location:Ecuador
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:75.2
- Avg Retweets per Tweet:9.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 500 tweetsThe account shows consistent engagement with an average of 605 likes and 90 retweets per tweet. The top tweets often include highlights and key moments from matches, which likely drive higher interaction.
75.2
Avg Likes/Tweet
9.7
Avg Retweets/Tweet
37,612
Total Likes
4,830
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
39
Median Likes
5
Median Retweets
90
75th Percentile
1,146
Top Tweet
1.46
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
67.2%
Original
31.0%
Replies
1.0%
Retweets
0.8%
Quotes
0.0%
Threads
0.0%
With Media
92.0%
With Links
73.0%
With #Tags
43.0%
With @Mentions
81.4%
With Emojis
121
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.46
Reply/Original Ratio
0.8
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
85.4%
Weekday Posts
14.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 500 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 5 retweets (1% 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 500 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 Ecuadorian football fans, particularly those interested in the Copa Ecuador tournament. The content is likely shared by sports enthusiasts and followers of the participating teams.
Average
Audience Quality
29.4%
Suspicion Index
36.4%
Low-Quality %
10
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.3%
Empty Bio
39.2%
<10 Tweets
5.0%
Mass Following (>2K)
0.0%
New (<90 days)
68.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.0%
No URL
28.6%
<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.
32,545,664
Total Potential Reach
10
Median Follower Reach
62
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).
40.3%
Creators
20,160 accounts
20.5%
Consumers
10,247 accounts
39.2%
Dormant
19,593 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):
101
Verified Followers
0.17% of total
5,605
Protected Accounts
9.68% 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 |
|---|---|---|---|
| @JohnCena | 14,105,733 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Primicias | 1,210,742 | Media | - |
| @Expresoec | 1,056,255 | News outlet | local news, national news, international news |
| @JeffMONTERO23 | 897,435 | Futbolista | Soccer, Queretaro, Ecuador |
| @solalexasch | 678,151 | - | - |
| @el_telegrafo | 662,641 | News outlet | News, Ecuador, Public |
| @CarlosVictorM | 634,029 | Sports Commentator | Fútbol, Radio, TV |
| @FEFecuador | 612,106 | Sports Organization | Football, Ecuador, Federation |
| @marcadorec | 401,679 | Sports Journalist | fútbol, deportes, noticias |
| @DiarioExtraEc | 369,152 | News Outlet | News, Information, Exclusive content |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
33,207
Followers With Bio
24,688
Followers Without Bio
57.36%
% With Bio
42.64%
% 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 500 analyzed4,022
Combined Engagement
3,551
Total Likes
471
Total Retweets
804
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
60%
With @Mentions
100%
With Links
Topical Analysis:
💪💥Felicitamos a @IDV_EC, primer finalista de la #CopaEcuadorEcuabet🏆. #LaNuestraLaDeTodos🇪🇨 https://t.co/5X2FTgDiVK
⚽️Golazo de Ronie Carrillo, gran gesto técnico para colar el balón al fondo de las redes. Lo dan vuelta los militares 🫡. @elnacionalec 2️⃣ - @DelfinSC 1️⃣https://t.co/P3uW0ew5Rw
⚡️Imparable #JeffersonMontero https://t.co/o7Q3t9l110
🤩Felicitamos a @IDV_EC, flamante campeón de la #CopaEcuadorEcuabet🏆. 🍾¡Salud campeones! #LaNuestraLaDeTodos🇪🇨 https://t.co/0iUCX5el6H
#DíaDeLaPoesía ✍️Ahora un poema: https://t.co/0eNSB5qUdt
Key Insights & Takeaways
The account focuses on promoting the Copa Ecuador and its teams, which helps in building a sense of community and national pride. It uses hashtags and mentions to increase visibility and engagement, especially with popular players and teams. The content is highly visual, with links to videos or match highlights, which likely contribute to higher engagement rates.
Strengths
- + Established follower base of 58,186
- + 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 @CopaEcuador reveals an growing Twitter presence with 58,186 followers. The account demonstrates a content-creator strategy, averaging 84.9 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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