UEFA
⚽ The official home of UEFA on X ▪FB/UEFA ▪IG/UEFA_official
2,386,166
Followers
1,080
Following
12,960
Tweets
531.4
Avg Engagement
5,386
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @UEFA'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:2014-02-04
- Verification:Yes
- Location:Nyon, Switzerland
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:355.2
- Avg Retweets per Tweet:176.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsUEFA's tweets receive an average of 29,671 likes and 5,104 retweets, indicating strong audience interaction. The account's verified status and consistent posting contribute to its high engagement levels.
355.2
Avg Likes/Tweet
176.2
Avg Retweets/Tweet
1,154,251
Total Likes
572,655
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
69
Median Likes
19
Median Retweets
245
75th Percentile
58,192
Top Tweet
0.22
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
51.5%
Original
13.4%
Replies
33.5%
Retweets
1.6%
Quotes
0.0%
Threads
0.1%
With Media
34.0%
With Links
73.7%
With #Tags
60.6%
With @Mentions
69.8%
With Emojis
160
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.26
Reply/Original Ratio
0.05
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
85.9%
Weekday Posts
14.1%
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 1,090 retweets (34% 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 audience primarily consists of football fans, players, and officials across Europe. It also includes media outlets and sports analysts interested in UEFA's decisions and events.
Below Average
Audience Quality
40.1%
Suspicion Index
57.3%
Low-Quality %
3
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
64.7%
Empty Bio
63.9%
<10 Tweets
3.1%
Mass Following (>2K)
0.0%
New (<90 days)
81.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.5%
No URL
50.0%
<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.
5,850,612
Total Potential Reach
3
Median Follower Reach
18
75th Percentile Reach
1.3%
>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).
16.7%
Creators
8,348 accounts
19.4%
Consumers
9,722 accounts
63.9%
Dormant
31,930 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):
165
Verified Followers
0.17% of total
7,714
Protected Accounts
7.71% of total
2 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 |
|---|---|---|---|
| @chris_kammy | 1,899,109 | Football pundit | Football, TV, Singing |
| @MarioSuarez4 | 564,031 | Sports Business | Sports Business, Director Deportivo, Global Players Program |
| @MasterKGsa | 368,122 | Musician | Music, Booking, WanitwaMos |
| @conquerer1 | 237,684 | Entertainer | MUSIC, AWARDS, CELEBRITIES |
| @Coach1905 | 210,716 | Sports Coach | Galatasaray, Atatürk, Bahar |
| @penaltisport | 198,605 | Sports News | Spor, Tutku, Haberler |
| @SafakSina1903 | 148,358 | - | - |
| @ChiquimarcoMx | 135,728 | Referee | Soccer, Refereeing, Coaching |
| @WeDontHaveTime | 128,720 | Climate Activist | climate solutions, tree planting, review platform |
| @rodriguescigor | 123,443 | Tournament Coordinator | Soccer, Tournaments, Coordinator |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
33,603
Followers With Bio
66,397
Followers Without Bio
33.6%
% With Bio
66.4%
% 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 3,250 analyzed205,631
Combined Engagement
148,108
Total Likes
57,523
Total Retweets
41,126
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
40%
With @Mentions
20%
With Links
Topical Analysis:
🏆 Congratulations, @chelseafc - European and now world champions! https://t.co/bU4bElXGuL
Following a technical problem with the software of an external service provider that instructs the officials as to which teams are eligible to play each other, a material error occurred in the draw for the UEFA Champions League Round of 16.
Following the evolution of the situation between Russia and Ukraine, the UEFA president has called an extraordinary meeting of the Executive Committee for 10:00 CET on Friday 25 February, in order to evaluate the situation and take all necessary decisions.
RT @GWR: We’re going to confirm the Champions League as the greatest sports competition in history #UCL
A further delay has been announced to the kick-off of tonight's Champions League final.
Key Insights & Takeaways
UEFA uses celebratory tweets to highlight major achievements, such as team victories. It addresses technical and operational issues affecting football events. It engages with global political issues, such as the Russia-Ukraine conflict, through official statements.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 2,386,166
- + 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 @UEFA reveals an well-established Twitter presence with 2,386,166 followers. The account demonstrates a content-creator strategy, averaging 531.4 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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