European Qualifiers
Follow every European nation in their quest to reach major finals.
107,422
Followers
384
Following
5,477
Tweets
165.7
Avg Engagement
564
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @EuroQualifiers'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:2014-06-11
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,198
- Avg Likes per Tweet:51.8
- Avg Retweets per Tweet:113.9
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,198 tweetsThe account maintains high engagement with an average of 2,781 likes and 1,097 retweets per tweet. It effectively uses links and hashtags to drive interaction and visibility.
51.8
Avg Likes/Tweet
113.9
Avg Retweets/Tweet
165,605
Total Likes
364,396
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
13
Median Likes
21
Median Retweets
101
75th Percentile
19,865
Top Tweet
1.54
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
64.3%
Original
2.6%
Replies
30.7%
Retweets
2.4%
Quotes
0.0%
Threads
0.4%
With Media
72.8%
With Links
59.8%
With #Tags
48.1%
With @Mentions
28.1%
With Emojis
109
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.04
Reply/Original Ratio
0.08
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
57.9%
Weekday Posts
42.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,198 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 983 retweets (31% 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 3,198 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 10,000 followersThe audience is likely football fans interested in European national teams and major tournaments. They are engaged with stats, player highlights, and team performance updates.
Average
Audience Quality
30.5%
Suspicion Index
28.8%
Low-Quality %
26
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.4%
Empty Bio
30.7%
<10 Tweets
19.1%
Mass Following (>2K)
0.0%
New (<90 days)
71.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.0%
No URL
20.2%
<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.
24,168,495
Total Potential Reach
26
Median Follower Reach
123
75th Percentile Reach
4.6%
>1K followers
0.6%
>10K followers
0.2%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
46.7%
Creators
4,666 accounts
22.7%
Consumers
2,267 accounts
30.7%
Dormant
3,067 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):
50
Verified Followers
0.5% of total
1,248
Protected Accounts
12.48% of total
5 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 | 14,093,376 | Wrestler | Wrestling, Motivation, Self-promotion |
| @_gokhangonul | 1,832,482 | Football Player | Football, Sports, Athlete |
| @KameronBennett | 1,820,115 | DJ | Music, DJing, Booking |
| @Moreno | 430,948 | Influencer | Business, Manager, Serious |
| @DAZN_ES | 370,632 | Streaming Sports | Deportes, Directo, Bajo demanda |
| @Daminous_Purity | 352,748 | Minister | WWE, NFL, FIFA |
| @NftDnya | 327,084 | - | - |
| @vanesaborghi | 276,635 | TV Host | TV Host, #VivirMejor, Embajadora |
| @UnitedsUpdate | 246,126 | - | - |
| @teledeporte | 234,517 | Sports Channel | Deportes, RTVE, Canal |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,263
Followers With Bio
3,737
Followers Without Bio
62.63%
% With Bio
37.37%
% 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 3,198 analyzed54,789
Combined Engagement
0
Total Likes
54,789
Total Retweets
10,958
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @Cristiano: Happy to score my first poker for Portugal ⚽️⚽️⚽️⚽️🇵🇹 https://t.co/W8RxiW7BzR
RT @Cristiano: Well done boys 👌🇵🇹 https://t.co/EsUiLo6sgW
RT @gianluigibuffon: #G1G1000 https://t.co/To2YUZ4TIF
RT @Cristiano: Great mood With my boy🇵🇹👌 https://t.co/L4uX6C795P
RT @MemphisDepay: I want to thank everyone for the nice messages. Looking forward to see you guys in Manchester... #M7 http://t.co/t9qH24GQWx
Key Insights & Takeaways
The account focuses on key players and their achievements, such as Cristiano Ronaldo and Robert Lewandowski, which attracts attention and engagement. It highlights major events like the World Cup draw, which increases relevance and follower interest. The use of links and hashtags helps in driving traffic and increasing visibility for related content.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 107,422
- + 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 @EuroQualifiers reveals an well-established Twitter presence with 107,422 followers. The account demonstrates a content-creator strategy, averaging 165.7 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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