Kepa Arrizabalaga
@realmadrid @adidas Instagram: kepaarrizabalaga
716,905
Followers
233
Following
497
Tweets
8,152.6
Avg Engagement
1,026
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @kepa_46'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:2011-05-22
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:485
- Avg Likes per Tweet:6,596.8
- Avg Retweets per Tweet:1,555.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 485 tweetsKepa's tweets receive a high number of likes and retweets, indicating strong audience interaction. His content is well-received, with a focus on team performance and personal reflections.
6,596.8
Avg Likes/Tweet
1,555.8
Avg Retweets/Tweet
3,199,472
Total Likes
754,547
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
84
Median Retweets
4,801
75th Percentile
168,717
Top Tweet
11.37
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
58.8%
Original
10.7%
Replies
28.2%
Retweets
2.3%
Quotes
0.0%
Threads
0.0%
With Media
51.3%
With Links
27.4%
With #Tags
70.7%
With @Mentions
37.7%
With Emojis
93
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.18
Reply/Original Ratio
0.08
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
68.2%
Weekday Posts
31.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 485 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 137 retweets (28% 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 485 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, especially supporters of Chelsea FC and Real Madrid. The engagement reflects a dedicated fan base that follows his career closely.
Average
Audience Quality
33.8%
Suspicion Index
42.7%
Low-Quality %
9
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
55.7%
Empty Bio
47.0%
<10 Tweets
4.2%
Mass Following (>2K)
0.0%
New (<90 days)
74.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.2%
No URL
29.8%
<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.
10,206,642
Total Potential Reach
9
Median Follower Reach
38
75th Percentile Reach
1.5%
>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).
23.9%
Creators
11,944 accounts
29.1%
Consumers
14,568 accounts
47.0%
Dormant
23,488 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):
113
Verified Followers
0.11% of total
6,129
Protected Accounts
6.13% 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 |
|---|---|---|---|
| @JohnCena | 14,105,302 | Wrestler | Wrestling, Motivation, Self-promotion |
| @didierdrogba | 2,772,470 | Footballer | Football, Philanthropy, Charity |
| @cpulisic_10 | 850,106 | - | - |
| @kkoulibaly26 | 838,807 | Footballer | Football, ChelseaFC, NoToRacism |
| @Calteck10 | 815,389 | Footballer | Football, ChelseaFC, Adidasfootball |
| @LDNFootbalI | 456,872 | Football Analyst | European Football, Chelsea FC, London |
| @M_455K | 455,826 | - | - |
| @_AsiwajuLerry | 443,139 | Marketing | Ads, Promotions, Yorubad Boy |
| @Moreno | 430,288 | Influencer | Business, Manager, Serious |
| @carrusel | 402,078 | Sports Commentator | Deporte, Emoción, Directo |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
46,734
Followers With Bio
53,266
Followers Without Bio
46.73%
% With Bio
53.27%
% 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 485 analyzed558,657
Combined Engagement
349,379
Total Likes
209,278
Total Retweets
111,731
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @ChapecoenseReal: Que essa seja a última imagem dos nosso guerreiros. #ForçaChape https://t.co/Q1ZxF5h4sV
To fall and rise. Disappointed after big effort during the tournament. We keep working. Thanks @chelseafc family for your support. https://t.co/yu2FkZlG4h
I got you. @ChelseaFC @EmiratesFACup https://t.co/o5VHoUBg9c
Great team performance 👏 3 more points. Keep pushing @ChelseaFC https://t.co/y6mGxdJ2lw
We did it!🏆 SuperCup✅ @ChelseaFC https://t.co/HqzUNBJxAQ
Key Insights & Takeaways
Kepa often shares personal reflections on match performances and setbacks, showing vulnerability and dedication to improvement. He frequently interacts with fans and expresses gratitude, which helps build a loyal community around his brand. His tweets are often linked to Instagram and other platforms, suggesting a multi-platform engagement strategy.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 716,905
- + 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 @kepa_46 reveals an exceptionally influential Twitter presence with 716,905 followers. The account demonstrates a content-creator strategy, averaging 8,152.6 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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