490,973
Followers
218
Following
2,303
Tweets
1,658.9
Avg Engagement
509
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @EnnerValencia14'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:2012-12-11
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:2,183
- Avg Likes per Tweet:1,413.3
- Avg Retweets per Tweet:245.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,183 tweetsHis tweets receive an average of 65,923 likes and 3,661 retweets, indicating strong audience interaction. The engagement is consistent across his posts, with a focus on sports and national pride.
1,413.3
Avg Likes/Tweet
245.5
Avg Retweets/Tweet
3,085,261
Total Likes
536,032
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
26
Median Retweets
328
75th Percentile
179,401
Top Tweet
3.38
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
22.9%
Original
4.6%
Replies
67.4%
Retweets
5.0%
Quotes
0.0%
Threads
0.3%
With Media
56.4%
With Links
25.5%
With #Tags
77.9%
With @Mentions
30.0%
With Emojis
104
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.2
Reply/Original Ratio
0.07
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.3%
Weekday Posts
30.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,183 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 1,472 retweets (67% 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 2,183 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 primarily consists of football fans and supporters from Ecuador and Turkey, given his association with Fenerbahçe. The audience is highly engaged and responsive to his content.
Average
Audience Quality
27.4%
Suspicion Index
39.7%
Low-Quality %
12
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
54.6%
Empty Bio
35.1%
<10 Tweets
4.4%
Mass Following (>2K)
0.0%
New (<90 days)
57.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.0%
No URL
24.9%
<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.
43,663,379
Total Potential Reach
12
Median Follower Reach
80
75th Percentile Reach
3.2%
>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).
44.0%
Creators
21,997 accounts
20.9%
Consumers
10,446 accounts
35.1%
Dormant
17,557 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):
252
Verified Followers
0.25% of total
12,827
Protected Accounts
12.83% of total
4 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 | 14,104,900 | Wrestler | Wrestling, Motivation, Self-promotion |
| @EuropaLeague | 11,794,513 | Sports Organization | Football, Soccer, Europe |
| @marca | 6,471,696 | Sports News | Deportes, Actualidad, Opiniones |
| @Faitelson_ESPN | 4,084,161 | - | - |
| @Alex10 | 3,201,959 | Football Coach | Futebol, Treinador, Esportes |
| @elcomerciocom | 2,617,234 | News Outlet | news, Ecuador, social media |
| @mbatshuayi | 1,952,019 | Footballer | Football, Crystal Palace, Belgium |
| @demarkesports | 1,267,692 | Sports Marketing | Basketball, Racing, Gaming |
| @ozatasomer | 762,221 | - | - |
| @DiegoArcos14 | 708,126 | Journalist | Documentary, sports, music |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
47,749
Followers With Bio
52,251
Followers Without Bio
47.75%
% With Bio
52.25%
% 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 2,183 analyzed446,317
Combined Engagement
426,506
Total Likes
19,811
Total Retweets
89,263
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
80%
With Links
Topical Analysis:
Calma y Confía Ecuador 🇪🇨 https://t.co/Lgq9xAFPPf
Sigue confiando! Que seguiremos luchando 🇪🇨 https://t.co/IUfqNGgrcA
Estamos contigo Turquía 🇹🇷 les dedicamos este triunfo a todos los afectados, Dios los bendiga 🙏 https://t.co/YjbP2A7z5m
3 puan ve bu harika kulüpte 100. maçım için çok mutluyum @Fenerbahce 💛💙 https://t.co/jDYXVesOIM
Bravo hermano @mbatshuayi 👏🏻👏🏻⚽️
Key Insights & Takeaways
His content is heavily focused on football and national pride, which resonates strongly with his audience. He frequently shares links to social media posts, suggesting a strategy to drive traffic and maintain engagement. His verified status is low, but his follower count and engagement levels indicate a strong organic following.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 490,973
- + 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 @EnnerValencia14 reveals an exceptionally influential Twitter presence with 490,973 followers. The account demonstrates a content-creator strategy, averaging 1,658.9 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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