Edison Flores
Futbolista de @TuFPF y @AtlasFC
383,099
Followers
181
Following
660
Tweets
1,176.7
Avg Engagement
340
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @edisonflores135'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:2012-09-10
- Verification:No
- Location:Guadalajara, Jalisco
Data Summary
- Tweets Analyzed:646
- Avg Likes per Tweet:884.4
- Avg Retweets per Tweet:292.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 646 tweetsThe account shows high engagement, with a consistent number of likes and retweets, indicating a loyal and active fan base. The top tweets focus on gratitude and team spirit, which resonate well with the audience.
884.4
Avg Likes/Tweet
292.3
Avg Retweets/Tweet
571,327
Total Likes
188,847
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
7
Median Likes
26
Median Retweets
436
75th Percentile
29,015
Top Tweet
3.07
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
50.8%
Original
6.2%
Replies
40.1%
Retweets
2.9%
Quotes
0.0%
Threads
0.0%
With Media
59.4%
With Links
43.8%
With #Tags
61.3%
With @Mentions
50.2%
With Emojis
119
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.12
Reply/Original Ratio
0.07
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.1%
Weekday Posts
28.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 646 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 259 retweets (40% 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 646 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 audience appears to be primarily football fans, especially in Peru, given the mention of the Peruvian national team and the fan support in Russia. The followers likely include fans of his clubs and the national team.
Below Average
Audience Quality
36.6%
Suspicion Index
45.5%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
47.0%
Empty Bio
58.4%
<10 Tweets
2.1%
Mass Following (>2K)
0.0%
New (<90 days)
83.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.1%
No URL
44.1%
<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.
19,416,340
Total Potential Reach
2
Median Follower Reach
11
75th Percentile Reach
0.8%
>1K followers
0.1%
>10K followers
0.0%
>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).
21.5%
Creators
10,738 accounts
20.1%
Consumers
10,068 accounts
58.4%
Dormant
29,194 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):
81
Verified Followers
0.08% of total
5,785
Protected Accounts
5.73% 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 | 14,103,825 | Wrestler | Wrestling, Motivation, Self-promotion |
| @MLS | 3,345,310 | Sports League | Soccer, Stadiums, Stars |
| @diariocorreo | 1,347,008 | News Outlet | Not provided. |
| @LuisOmarTapia | 894,160 | Sports commentator | Soccer, Champions League, Commentator |
| @AtlasFC | 861,728 | Soccer Team | soccer, champions, fans |
| @Caretas | 788,629 | Magazine | Actualidad, investigación, humor |
| @byAngelicaC | 705,528 | TV Host | Sports, Entrepreneur, Miami |
| @publimetro_dep | 283,131 | Sports News | Deportes, Chile, Plataforma |
| @danielfolivares | 197,182 | Politician | Environment, Politics, Social Justice |
| @dcunited | 177,551 | Soccer Club | Soccer, Championships, Washington DC |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
57,652
Followers With Bio
43,347
Followers Without Bio
57.08%
% With Bio
42.92%
% 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 646 analyzed127,468
Combined Engagement
86,597
Total Likes
40,871
Total Retweets
25,494
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
🇵🇪⚽️ Hoy solo quisiera agradecer a todo el equipo y también al público peruano que nos hizo sentir como locales en Rusia. Somos una selección que nunca se ha rendido a pesar de las adversidades, así que vamos a levantar la cabeza e ir por nuestra revancha este jueves https://t.co
RT @TaliaGaona: Hola Así es el hisopado para la prueba de COVID19 ¿Van a seguir saliendo a la calle? 🥰 https://t.co/tk5dJou2UV
Este sueño no terminó hoy...recién empieza. Este equipo se ha convertido en una familia que va a luchar por representarlos de la mejor manera. Gracias a los hinchas por transformar Rusia en Perú. Sigamos unidos: cuando nuestro país trabaja en conjunto, se logran cosas increíbles
Esta C. América nos ha dejado enseñanzas. Lo dimos todo y no pudimos lograr el título, pero demostramos que estando juntos podemos aspirar a grandes cosas. Gracias a todo este grupo humano llamado selección y al país, que nos ha apoyado al máximo como siempre. Seguimos creciendo
¡Este mensaje es para todos los peruanos! ⚽️🤝🇵🇪❤️ https://t.co/h9LZttJp8e
Key Insights & Takeaways
The account emphasizes team unity and gratitude towards fans. The content highlights personal and team achievements, including international competitions. There is a strong emotional connection with the audience, especially from Peru.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 383,099
- + 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 @edisonflores135 reveals an exceptionally influential Twitter presence with 383,099 followers. The account demonstrates a content-creator strategy, averaging 1,176.7 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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