juan carlos pereira
Cartagenero 🗺 jugador del más grande Millonarios FC
26,320
Followers
245
Following
2,746
Tweets
917.0
Avg Engagement
12
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @jpereira_33'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:2011-10-27
- Verification:No
- Location:Bogotá, D.C., Colombia
Data Summary
- Tweets Analyzed:595
- Avg Likes per Tweet:670.6
- Avg Retweets per Tweet:246.4
- Followers Analyzed:22,867
Engagement Analysis
Based on 595 tweetsThe account has a relatively high average number of likes and retweets, indicating that the content is well-received by followers. The engagement is likely driven by personal achievements and team-related posts.
670.6
Avg Likes/Tweet
246.4
Avg Retweets/Tweet
399,021
Total Likes
146,609
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
32
Median Likes
6
Median Retweets
883
75th Percentile
77,428
Top Tweet
34.84
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
38.7%
Original
39.2%
Replies
13.9%
Retweets
8.2%
Quotes
0.0%
Threads
0.0%
With Media
41.7%
With Links
4.2%
With #Tags
61.5%
With @Mentions
61.5%
With Emojis
78
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.01
Reply/Original Ratio
0.59
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.1%
Weekday Posts
33.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 595 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 83 retweets (14% 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 595 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 22,867 followersThe audience appears to be fans of Millonarios FC and other football enthusiasts, possibly from Colombia. The engagement suggests a dedicated but not extremely large following.
Average
Audience Quality
23.7%
Suspicion Index
27.3%
Low-Quality %
47
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.8%
Empty Bio
20.4%
<10 Tweets
13.3%
Mass Following (>2K)
0.0%
New (<90 days)
53.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.9%
No URL
12.9%
<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.
18,249,278
Total Potential Reach
47
Median Follower Reach
168
75th Percentile Reach
4.9%
>1K followers
0.7%
>10K followers
0.2%
>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).
60.3%
Creators
13,788 accounts
19.3%
Consumers
4,419 accounts
20.4%
Dormant
4,660 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):
55
Verified Followers
0.24% of total
2,061
Protected Accounts
9.01% 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 |
|---|---|---|---|
| @elcolombiano | 2,212,619 | News Outlet | news, analysis, exclusives |
| @MillosFCoficial | 1,825,500 | Football Club | football, Colombia, team |
| @fuedicho | 794,740 | Writer | Frases, versos, refranes |
| @CalleLaJeta_ | 448,554 | Comedian | Comedy, Acting, Arts |
| @EduardoLuisFut | 395,242 | Sports Journalist | Sports, Broadcasting, Journalism |
| @egomezislas | 390,625 | CEO | ATV, Corporate, CEO |
| @LauValMc | 331,414 | Sports Marketing | Millonarios FC, Publicidad, Amor |
| @stevenarce | 323,552 | Influencer | Opiniones personales, Ciudadano, Instagram |
| @losmillonarios | 286,561 | Sports Fan | Fútbol, Millonarios, Hinchas |
| @ElInformanteMX | 263,942 | News Outlet | News, Digital Platform, Mexico |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
13,300
Followers With Bio
9,567
Followers Without Bio
58.16%
% With Bio
41.84%
% 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 595 analyzed119,859
Combined Engagement
9,710
Total Likes
110,149
Total Retweets
23,972
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @jerm_cohen: I can’t believe this actually worked and yes this is a real story https://t.co/X5KbBl0qIe
Y eso que teníamos garantía de jugar el partido, lamentable !!! https://t.co/fCiCiqNIwp
RT @JBALVIN: Dijo “por favor” tantas veces mientras la policía sabía que los grababan y terminaron con la vida de Javier Ordóñez sin piedad…
RT @FALCAO: Viendo el retorno del fútbol me pregunto: ¿Existirá una razón técnica para que no se permita el abrazo en los goles? Durante to…
RT @AlbertoLDC: Buenísimo 🏠 https://t.co/ZE0kNBFoxL
Key Insights & Takeaways
The user frequently shares personal milestones and team-related content, which likely drives engagement. The account has a strong focus on football, with references to specific teams and events. The use of emojis and hashtags suggests an effort to connect with fans and build a personal brand.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 26,320
- + High community engagement through conversations
- + 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 @jpereira_33 reveals an well-established Twitter presence with 26,320 followers. The account demonstrates a conversation-first approach, averaging 917.0 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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