Joel Campbell
Jugador en Selección de Costa Rica || Professional player in Costa Rica National Team
767,925
Followers
703
Following
4,619
Tweets
520.8
Avg Engagement
1,420
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @joel_campbell12'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:2011-11-22
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,038
- Avg Likes per Tweet:377.9
- Avg Retweets per Tweet:143.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,038 tweetsOn average, his tweets receive around 6,669 likes and 3,648 retweets, indicating a highly engaged audience. The high engagement rate highlights the popularity of his content and personal stories.
377.9
Avg Likes/Tweet
143.0
Avg Retweets/Tweet
1,147,963
Total Likes
434,288
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
61
Median Likes
22
Median Retweets
581
75th Percentile
71,267
Top Tweet
0.68
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
56.1%
Original
16.0%
Replies
23.3%
Retweets
4.6%
Quotes
0.0%
Threads
0.2%
With Media
60.4%
With Links
29.9%
With #Tags
52.1%
With @Mentions
43.2%
With Emojis
84
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.29
Reply/Original Ratio
0.2
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.6%
Weekday Posts
23.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,038 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 708 retweets (23% 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 3,038 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 followers of Costa Rica's national team. The engagement suggests a mix of admiration and support from fans and fellow athletes.
Below Average
Audience Quality
35.5%
Suspicion Index
45.1%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
50.8%
Empty Bio
51.3%
<10 Tweets
8.5%
Mass Following (>2K)
0.0%
New (<90 days)
75.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.6%
No URL
39.3%
<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.
30,310,083
Total Potential Reach
6
Median Follower Reach
48
75th Percentile Reach
2.0%
>1K followers
0.2%
>10K followers
0.1%
>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).
29.5%
Creators
14,735 accounts
19.3%
Consumers
9,628 accounts
51.3%
Dormant
25,637 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):
141
Verified Followers
0.14% of total
7,978
Protected Accounts
7.9% 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 | 14,105,332 | Wrestler | Wrestling, Motivation, Self-promotion |
| @433 | 4,283,182 | Football Content Creator | Football, Home, 433 |
| @miguelhotero | 1,928,540 | Journalist | Politics, Journalism, Leadership |
| @KameronBennett | 1,811,608 | DJ | Music, DJing, Booking |
| @As_TomasRoncero | 1,753,447 | Journalist | Real Madrid, Deportes, Periodismo |
| @clubleonfc | 1,035,721 | Sports Team | Soccer, Pride, Mexico |
| @espnsutcliffe | 940,035 | Sports Reporter | Sports, Reporting, Contact |
| @fuedicho | 796,704 | Writer | Frases, versos, refranes |
| @SerieA | 718,514 | Sports Organization | Football, Competitions, Official |
| @IamMzilikazi | 545,205 | Musician | Pan-African music, Album, Rise |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
52,577
Followers With Bio
48,422
Followers Without Bio
52.06%
% With Bio
47.94%
% 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 3,038 analyzed112,704
Combined Engagement
29,613
Total Likes
83,091
Total Retweets
22,541
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
40%
With @Mentions
100%
With Links
Topical Analysis:
RT @andres_siesta: Puto cáncer… http://t.co/wIvfnzHP
100 sobres y no me encontré #BadLuckCampbell http://t.co/Mwj5MhSkJV
A real pride to have been part of this club as big as @Arsenal ! I enjoyed every moment I could play in the Emirates. Luck for this season. Proud I be gooner! https://t.co/9xlbHn6R87
💜😈37🏆 https://t.co/PnEhDjRlr5
Happy to be back 😁😁😁🔴⚪️#COYG https://t.co/RybmMzYx8v
Key Insights & Takeaways
His top tweets often include emojis and hashtags, which likely contribute to their high engagement. He frequently shares personal and emotional content, such as pride in his career and gratitude for opportunities. His tweets often link to external content, suggesting a strategy to drive traffic or share additional context.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 767,925
- + 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 @joel_campbell12 reveals an well-established Twitter presence with 767,925 followers. The account demonstrates a content-creator strategy, averaging 520.8 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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