JuanCarlosGarrido
Professional Football Coach
201,818
Followers
988
Following
6,008
Tweets
224.1
Avg Engagement
148
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @JCGarrido'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:2014-04-26
- Verification:No
- Location:Valencia, España 🌍
Data Summary
- Tweets Analyzed:3,234
- Avg Likes per Tweet:36.2
- Avg Retweets per Tweet:187.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,234 tweetsHis tweets receive a high average number of likes and retweets, indicating strong audience interaction. The engagement is likely driven by his credibility and the emotional resonance of his posts.
36.2
Avg Likes/Tweet
187.9
Avg Retweets/Tweet
117,186
Total Likes
607,662
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
1
Median Retweets
21
75th Percentile
136,189
Top Tweet
1.11
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
13.6%
Original
51.6%
Replies
33.4%
Retweets
1.3%
Quotes
0.0%
Threads
0.2%
With Media
29.0%
With Links
11.8%
With #Tags
90.0%
With @Mentions
34.8%
With Emojis
100
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.79
Reply/Original Ratio
0.04
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.2%
Weekday Posts
28.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,234 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 1,080 retweets (33% 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 3,234 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 professionals interested in coaching and match analysis. The content appeals to those passionate about the sport and its history.
Average
Audience Quality
29.8%
Suspicion Index
29.7%
Low-Quality %
20
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.6%
Empty Bio
34.2%
<10 Tweets
10.1%
Mass Following (>2K)
0.0%
New (<90 days)
73.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.6%
No URL
19.8%
<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.
26,175,997
Total Potential Reach
20
Median Follower Reach
77
75th Percentile Reach
2.9%
>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).
34.4%
Creators
17,176 accounts
31.5%
Consumers
15,741 accounts
34.2%
Dormant
17,083 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):
64
Verified Followers
0.06% of total
6,142
Protected Accounts
6.08% 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 |
|---|---|---|---|
| @MoamenZakaria | 3,733,759 | Footballer | Football, Al-Ahly SC, Professional |
| @MarocTopNews | 2,273,908 | News Outlet | News, Morocco, Top |
| @Trezeguet | 1,758,446 | Footballer | Football, Sports, Lifestyle |
| @SSamir | 1,486,457 | Footballer | Football, Al-Ahly SC, Professional |
| @LeadToday | 1,005,200 | Sales Trainer | Sales, Leadership, Development |
| @ahmedadel | 827,754 | Goalkeeper | Soccer, Goalkeeping, Professional |
| @fuedicho | 798,227 | Writer | Frases, versos, refranes |
| @magicanoo74 | 797,820 | - | - |
| @AmrGamaL9 | 706,138 | - | - |
| @AlvaroNegredo9 | 691,080 | Footballer | Football, Cádiz CF, Player |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
52,929
Followers With Bio
48,067
Followers Without Bio
52.41%
% With Bio
47.59%
% 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 3,234 analyzed264,657
Combined Engagement
0
Total Likes
264,657
Total Retweets
52,931
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @elonmusk: 🇲🇦🇲🇦 Congrats Morocco!! 🇲🇦🇲🇦
RT @RafaelNadal: Merci @rolandgarros for this amazing experience. 12!! Still can't believe it https://t.co/iNj8Me4iRJ
RT @angelmartin_nc: Informativo matinal para ahorrar tiempo 19/07/22 https://t.co/issjpYoGqA
RT @IvanFaubell: Tengo 4 años y me despido del mundo de forma trágica e injusta. Gracias por la fuerza que me habéis dado y el cariño a mis…
RT @ManUtd: United. Always. 🔴⚪⚫ #MUFC https://t.co/H57iPf0KuZ
Key Insights & Takeaways
He frequently shares celebratory messages about team victories, which resonate with fans. His content often highlights the legacy and passion of clubs like Al Ahly. He uses emojis and hashtags to enhance the emotional impact of his tweets.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 201,818
- + 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 @JCGarrido reveals an well-established Twitter presence with 201,818 followers. The account demonstrates a conversation-first approach, averaging 224.1 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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