Antonio Pagudo
Actor
229,234
Followers
650
Following
3,072
Tweets
36.7
Avg Engagement
404
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Pagudo'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:2010-12-07
- Verification:No
- Location:Madrid, Comunidad de Madrid
Data Summary
- Tweets Analyzed:3,039
- Avg Likes per Tweet:9.6
- Avg Retweets per Tweet:27.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,039 tweetsPagudo's tweets receive an average of 382 likes and 370 retweets, indicating a highly engaged audience. His content is well-received and often shared within his community.
9.6
Avg Likes/Tweet
27.1
Avg Retweets/Tweet
29,263
Total Likes
82,374
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
2
Median Retweets
18
75th Percentile
20,969
Top Tweet
0.16
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
30.2%
Original
49.5%
Replies
20.1%
Retweets
0.2%
Quotes
0.0%
Threads
0.1%
With Media
34.6%
With Links
23.8%
With #Tags
84.6%
With @Mentions
11.2%
With Emojis
82
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.64
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.9%
Weekday Posts
22.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,039 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 611 retweets (20% 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 3,039 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 fans of his TV shows and Spanish-speaking followers interested in entertainment news. They engage with his content through likes and retweets.
Average
Audience Quality
24.4%
Suspicion Index
32.5%
Low-Quality %
25
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48.7%
Empty Bio
27.0%
<10 Tweets
7.8%
Mass Following (>2K)
0.0%
New (<90 days)
51.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.6%
No URL
16.3%
<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.
37,189,553
Total Potential Reach
25
Median Follower Reach
109
75th Percentile Reach
3.2%
>1K followers
0.4%
>10K followers
0.1%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
48.4%
Creators
24,204 accounts
24.6%
Consumers
12,276 accounts
27.0%
Dormant
13,520 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):
58
Verified Followers
0.06% of total
10,964
Protected Accounts
10.86% of total
9 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 |
|---|---|---|---|
| @D_DeGea | 14,388,445 | Goalkeeper | Football, Manchester United, Goalkeeping |
| @JohnCena | 14,100,380 | Wrestler | Wrestling, Motivation, Self-promotion |
| @G_Higuain | 6,369,987 | Footballer | Football, Victory, Instagram |
| @Buenafuente | 3,614,041 | Comedian | comedy, television, humor |
| @El_Hormiguero | 2,319,876 | TV Show | TV, entertainment, social media |
| @20m | 1,506,404 | News Outlet | Not provided. |
| @Edurnity | 1,084,639 | Singer | - |
| @riverakiko | 1,068,034 | - | - |
| @David_Busta | 871,861 | Singer | Music, Entertainment, Social Media |
| @PSOE | 857,321 | Politician | igualdad, justicia social, dignidad |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
48,188
Followers With Bio
52,810
Followers Without Bio
47.71%
% With Bio
52.29%
% 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 3,039 analyzed41,907
Combined Engagement
0
Total Likes
41,907
Total Retweets
8,381
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @MarcGasol: Thank you... thank u very much... https://t.co/FmpcMjo7H1
RT @ristomejide: Lo siento,pero semejante hijo de puta no merece ni el ingenio de un tweet. #CadenaPerpetuaParaJoséBretón
RT @PiterCohen: -Pues yo a tu ex-novia me la follaba. -Esta buena. ¿Eh? -No me has entendido.
RT @MiguelelSevilla: -Qué te pasa? -Nada, que confundo los números con los colores. -No jodas, qué marrón. -¿Marrón? Pues por el culo te ...
RT @ristomejide: Las series como #LQSA no deberían acabar su temporada NUNCA. Aquí preparados para ver #LQSAFinal. #MuyFan
Key Insights & Takeaways
His tweets often include emotional expressions and gratitude, which resonate with his audience. He frequently references his TV series and related events, indicating a strong connection to his work. His use of hashtags and mentions of media outlets suggests a strategic approach to content visibility and audience interaction.
Strengths
- + Established follower base of 229,234
- + High community engagement through conversations
- + 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 @Pagudo reveals an growing Twitter presence with 229,234 followers. The account demonstrates a conversation-first approach, averaging 36.7 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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