Andrés Guardado
Jugador de Fútbol del @RealBetis y de @miseleccionmx
593,747
Followers
273
Following
892
Tweets
1,896.3
Avg Engagement
630
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @AGuardado18'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:2015-03-03
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:881
- Avg Likes per Tweet:1,636.9
- Avg Retweets per Tweet:259.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 881 tweetsHis tweets receive an average of 22,990 likes and 4,310 retweets, indicating strong audience interaction. The content is well-received and often shared across his followers' networks.
1,636.9
Avg Likes/Tweet
259.4
Avg Retweets/Tweet
1,442,069
Total Likes
228,538
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
576
Median Likes
89
Median Retweets
2,184
75th Percentile
41,137
Top Tweet
3.19
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
61.2%
Original
14.8%
Replies
18.3%
Retweets
5.8%
Quotes
0.0%
Threads
0.0%
With Media
75.4%
With Links
38.7%
With #Tags
51.6%
With @Mentions
41.8%
With Emojis
83
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.24
Reply/Original Ratio
0.32
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.3%
Weekday Posts
28.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 881 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 161 retweets (18% 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 881 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 is primarily football fans and followers of Mexican national team players. The audience is highly engaged, with high average likes and retweets.
Average
Audience Quality
35.0%
Suspicion Index
43.2%
Low-Quality %
5
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
52.1%
Empty Bio
48.1%
<10 Tweets
5.2%
Mass Following (>2K)
0.0%
New (<90 days)
80.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.9%
No URL
34.4%
<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.
36,781,686
Total Potential Reach
5
Median Follower Reach
28
75th Percentile Reach
1.3%
>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).
29.3%
Creators
14,640 accounts
22.6%
Consumers
11,285 accounts
48.1%
Dormant
24,075 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):
147
Verified Followers
0.15% of total
8,963
Protected Accounts
8.87% 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 |
|---|---|---|---|
| @AlejandroSanz | 19,786,671 | Singer | Music, Singer, Songwriter |
| @JohnCena | 14,105,317 | Wrestler | Wrestling, Motivation, Self-promotion |
| @franco_esca | 6,154,076 | Comedian | sarcasm, comedy, music |
| @InesSainzG | 3,257,115 | Sports Journalist | Family, Sports, Mexico |
| @C1audioBravo | 2,143,981 | Footballer | Football, Humility, Loyalty |
| @ctello91 | 1,826,196 | Footballer | Football, Real Betis, Spain |
| @JavierSolorzano | 1,307,519 | Journalist | Periodista, Columnista, Colaborador |
| @_elan_ | 925,244 | Influencer | Space, Fantasy, Foxes |
| @adidas_ES | 917,578 | Sportswear Brand | Sport, Change, Power |
| @Gol | 549,457 | Sports Journalist | Fútbol, Mundial, Ayuda |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
51,774
Followers With Bio
49,225
Followers Without Bio
51.26%
% With Bio
48.74%
% 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 881 analyzed164,556
Combined Engagement
144,484
Total Likes
20,072
Total Retweets
32,911
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
Bienvenido a @realbetis @DiegoLainez10, donde somos más que un club, somos una familia.
Hoy no somos once, somos mas de 120 millones #NadaNosDetiene https://t.co/wZyNqXE80n
Bienvenida hermosa Catalina 💪 https://t.co/CvCgY6f86S
Hoy todos somos parte de la historia, es el primer paso aun falta pero #NadaNosDetiene https://t.co/UItzlRwPS6
Hoy vamos por el tercer triunfo y el primer lugar del grupo #NadaNosDetiene https://t.co/OugwFmPtmw
Key Insights & Takeaways
His bio highlights his professional status and affiliations, which likely contribute to his credibility and follower base. He frequently shares personal and team-related content, which helps build a connection with his audience. His top tweets include welcoming messages and motivational content, which align with his role as a football player.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 593,747
- + 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 @AGuardado18 reveals an exceptionally influential Twitter presence with 593,747 followers. The account demonstrates a content-creator strategy, averaging 1,896.3 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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