FIFA World Cup
The official account of the FIFA World Cup! Find your home for football on FIFA+ ⬇️
12,734,466
Followers
652
Following
37,131
Tweets
10,330.3
Avg Engagement
17,068
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @FIFAWorldCup'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: Mega Influencer (1M+)
- Account Age:2010-04-29
- Verification:Yes
- Location:Not specified
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:9,167.2
- Avg Retweets per Tweet:1,163.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account consistently receives a high number of likes and retweets, indicating strong audience interaction. Its content is well-received and shared across the platform.
9,167.2
Avg Likes/Tweet
1,163.1
Avg Retweets/Tweet
29,793,269
Total Likes
3,780,234
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2,018
Median Likes
193
Median Retweets
5,869
75th Percentile
1,120,750
Top Tweet
0.81
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
84.7%
Original
12.5%
Replies
1.4%
Retweets
1.4%
Quotes
0.0%
Threads
0.1%
With Media
39.1%
With Links
65.0%
With #Tags
31.7%
With @Mentions
76.4%
With Emojis
82
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.15
Reply/Original Ratio
1.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.1%
Weekday Posts
30.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 46 retweets (1% 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 3,250 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 primary audience includes football fans worldwide, especially those interested in major tournaments like the FIFA World Cup. The account also targets potential new viewers and casual fans.
Below Average
Audience Quality
47.9%
Suspicion Index
75.1%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
77.2%
Empty Bio
84.8%
<10 Tweets
0.6%
Mass Following (>2K)
0.0%
New (<90 days)
90.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.5%
No URL
72.9%
<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.
2,494,421
Total Potential Reach
1
Median Follower Reach
4
75th Percentile Reach
0.4%
>1K followers
0.0%
>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).
5.0%
Creators
2,475 accounts
10.3%
Consumers
5,145 accounts
84.8%
Dormant
42,380 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):
54
Verified Followers
0.05% of total
12,032
Protected Accounts
11.91% of total
1 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 |
|---|---|---|---|
| @9romelulukaku | 1,039,018 | Footballer | Football, Revenge, Determination |
| @UMonline | 814,564 | News Outlet | News, Malaysia, Updates |
| @tplboard | 124,076 | - | - |
| @worIdmagazine | 80,929 | News Outlet | News, World, Magazine |
| @WERTHEIMERDAVID | 65,747 | - | - |
| @latotoo | 65,051 | - | - |
| @JamesHo64248533 | 59,699 | - | - |
| @sol_deportiva | 45,320 | Periodista Deportiva | Deportes, Eventos, Radio |
| @ennesyri9 | 44,926 | - | - |
| @EngrBsoro | 43,431 | Business Consultant | Business, Aerospace, Africa |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
23,477
Followers With Bio
77,509
Followers Without Bio
23.25%
% With Bio
76.75%
% 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 3,250 analyzed3,643,519
Combined Engagement
3,131,319
Total Likes
512,200
Total Retweets
728,704
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
60%
With Links
Topical Analysis:
The moment he's dreamed about 🏆 https://t.co/xGq3thFQvI
😘🏆 https://t.co/mBx9zY9uAS
Iconic. https://t.co/4HNm6zuzgD
🇦🇷🏆
🐐?
Key Insights & Takeaways
The account uses iconic moments and memorable content to drive engagement It leverages nostalgia and emotional connections with fans It maintains a balance between promotional and entertaining content
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 12,734,466
- + 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 @FIFAWorldCup reveals an exceptionally influential Twitter presence with 12,734,466 followers. The account demonstrates a content-creator strategy, averaging 10,330.3 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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